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Long non-coding RNA-dependent transcriptional regulation in neuronal development and disease

Brian S. Clark, Seth Blackshaw

Frontiers in Genetics · 2014 · Review

doi:10.3389/fgene.2014.00164

Abstract

Comprehensive analysis of the mammalian transcriptome has revealed that long non-coding RNAs (lncRNAs) may make up a large fraction of cellular transcripts. Recent years have seen a surge of studies aimed at functionally characterizing the role of lncRNAs in development and disease. In this review, we discuss new findings implicating lncRNAs in controlling development of the central nervous system (CNS). The evolution of the higher vertebrate brain has been accompanied by an increase in the levels and complexities of lncRNAs expressed within the developing nervous system. Although a limited number of CNS-expressed lncRNAs are now known to modulate the activity of proteins important for neuronal differentiation, the function of the vast majority of neuronal-expressed lncRNAs is still unknown. Topics of intense current interest include the mechanism by which CNS-expressed lncRNAs might function in epigenetic and transcriptional regulation during neuronal development, and how gain and loss of function of individual lncRNAs contribute to neurological diseases.

Full text

From PubMed Central, U.S. National Library of Medicine, as current on Oct 26, 2026. Paragraph numbers are ours, so an answer can point at one.

IDENTIFICATION, CONSERVATION, AND DIVERSITY OF lncRNAs

Annotation and high-throughput deep sequencing of the transcriptomes of multiple species have led to the belief that much of the genome is transcribed; however, only a minority of transcribed sequences contain evolutionarily conserved open reading frames. Many of the transcribed sequences are thus unlikely to encode proteins. Among all human non-coding transcripts, at least 10,000 are estimated to be >200 nucleotides, and are accordingly designated as long non-coding RNAs (lncRNAs; ). Based on transcriptome analysis of protein coding genes, transcripts are typically classified as lncRNAs when they do not contain any open reading frame >100 amino acids in length. Although few lncRNAs contain ORFs longer than predicted by pure chance, they also show relatively low levels of evolutionary conservation overall, suggesting that they may encode short, evolutionarily divergent proteins similar to those observed in Drosophila. Recently, researchers detected a number of evolutionarily conserved sequences that do encode small proteins through both ribosome profiling and mass spectrometry. However, analysis of other mass spectrometry experiments reveals that lncRNAs rarely produce detectable protein products. Furthermore, ribosome profiling experiments have indicated that while lncRNAs can associate with ribosomes, ribosome occupancy of lncRNAs displays features more congruent with untranslated regions (5′ UTRs) and other classical ncRNAs, such as small nucleolar RNAs (snoRNAs) and microRNAs (miRNAs; ). Combined with data showing that a large fraction of lncRNA transcripts are retained in the nucleus, it suggests that lncRNAs impart functions as RNA transcripts.

LncRNAs are distinguished from other ncRNAs subtypes by several different features. Inherent to the name, lncRNAs are classified as such based on a length of >200 nucleotides, distinguishing them from many ncRNAs including miRNAs, snoRNAs, and others. They are also distinct from transfer RNAs (tRNAs) as they are typically transcribed by RNA polymerase II (RNA Pol II), as opposed to RNA Pol III. Moreover, lncRNAs share many features with protein-coding messenger RNAs (mRNAs) – they are capped and polyadenylated. Many lncRNAs also contain multiple exons and are subjected to alternative splicing. However, in comparison to protein-coding transcripts, lncRNAs are roughly one-third as long, contain fewer exons (~2.8 exons in lncRNAs compared to 11 exons for protein coding genes), and are expressed at 10-fold lower levels on average. In addition, lncRNAs show a higher degree of tissue-specific expression than do protein-coding genes. Compared to protein-coding genes, retrotransposon sequences and tandem repeat elements are more frequently included in lncRNA sequences. These elements have been proposed to facilitate lncRNA function through either base pairing with other RNAs with similar repeat sequences, or through as yet unidentified mechanisms.

The discovery that much of the genome is transcribed bi-directionally has led to a diverse and still not fully standardized categorization of lncRNAs based on genomic localization. Included in the class of lncRNAs are enhancer-related lncRNAs (eRNAs) or transcribed ultra-conserved region lncRNAs (Figure 1A), intronic lncRNAs (Figure 1B), large/long intergenic or intervening non-coding RNAs (lincRNAs; Figure 1C), promoter associated lncRNAs (Figure 1D), and natural antisense transcripts (NATs; Figure 1E). LincRNAs have been identified through examination of sequencing reads that map expressed transcripts without clearly defined ORFs to intergenic regions. These lincRNAs usually also possess signatures of active transcription including H3K4me3, polyadenylation signals, and RNA polymerase II occupancy. LncRNAs not localized to intergenic regions have been less readily identified and originally described as transcription “noise” due to overlap with protein-coding transcripts or known DNA-regulatory elements such as enhancers.

Reports suggest that intronic lncRNAs, which comprise up to 35% of non-coding transcripts, form the largest single class of lncRNAs. Although intronic lncRNAs were originally thought to be unprocessed pre-mRNAs of protein coding genes, current estimates suggest that up to 80% of protein coding loci have transcriptionally active introns that are expressed independently from the protein coding pre-mRNA. Further confirmation of the presence of intronic lncRNAs comes from reports that find many intronic lncRNAs localized to the cytoplasm, excluding the possibilities that intronic lncRNAs are the result of genomic DNA or unspliced pre-mRNA contamination in deep sequencing studies. Intronic lncRNAs are transcribed from either the sense or antisense strand of the protein-coding gene in which they are encoded, further supporting independent transcriptional regulation.

A relatively new class of ncRNAs, eRNAs, result from bidirectional transcription of enhancers. These sequences display H3K4me1 and H3K27ac modifications, and p300/CBP and RNA polymerase II occupancy, and thus show signatures of open or poised chromatin. While many eRNAs are short (<200 nt), there are a considerable number of lncRNAs that display lincRNA-like chromatin signatures and overlap known enhancer sequences. Because of the shared enhancer sequence, these have been further classified as transcribed ultra-conserved region-associated lncRNAs to distinguish them from shorter eRNAs.

NATs, on the other hand, were identified in bacteria and eukaryotes in the 1990s. More recent studies indicate that 50–70% of protein coding genes are also transcribed in the antisense direction, with half of these antisense transcripts being non-coding. Studies have shown that many NATs display localized expression patterns that correspond inversely with their sense transcript counterparts, suggesting possible negative regulation of sense transcripts by NATs. In contrast, many lncRNAs without overlapping sequence display expression patterns that correlate with nearby protein-coding transcripts.

Despite the tremendous diversity of lncRNAs, their functional importance has been underappreciated and relatively understudied, in part due to the fact that they often fail to show clear evolutionary conservation. However, previous comparative genomic analyses have identified thousands of non-coding intergenic and intronic ultra-conserved sequence elements (UCEs) in the human genome. Analysis of the genomic localization of UCEs shows that UCEs are preferentially localized to loci encoding DNA-binding proteins. A recent study that incorporated transcriptome data from many different vertebrate species revealed that 4–11% of lncRNAs are conserved across the vertebrate lineage, and many of these map to UCE loci. Additionally, although the primary sequence of lincRNAs that are localized in close proximity to protein-coding genes often shows little sequence conservation, synteny between vertebrate lincRNAs and protein-coding genes is often conserved during vertebrate evolution. Combined, this suggests that the synteny and evolutionary conservation of these non-coding elements helps facilitate the regulated expression of transcription factors through enhancer activity, functional ncRNA transcripts, or both.

Analysis of sequence conservation within transcribed and regulatory regions of individual lncRNAs suggest that the proximal promoters display highest levels of evolutionary conservation. Peak conservation is observed ~43 bp upstream of the transcription start site, similar to the level of conservation seen across mouse and human protein coding genes. Furthermore, exonic sequence of lncRNAs is more highly conserved than intronic sequence, with exon splice sites showing highest evolutionary constraint. Short sequences within the lncRNAs are also frequently conserved. Stringent identifications of miRNAs localized within lncRNA sequence identified 97 lncRNAs that function as potential precursors to miRNA clusters. These miRNA sequences display a minimum 98% homology between rat and mouse, a far greater sequence conservation than observed for lncRNAs as a whole.

Quantification of the number of lncRNAs present across multiple species has elicited a wide range of estimates for the number of vertebrate lncRNAs. Stringent estimates suggest that 1133 lncRNAs are expressed during zebrafish development. Consistent with an evolutionary increase in number, size, and divergence of regulatory elements as species become more complex, conservative estimates from recent GENCODE sequencing builds in mouse and humans (July, 2013) indicate the presence of 4074 and 13,870 lncRNAs, respectively. Estimates from mouse suggest that 849 of the 1328 lncRNAs examined by in situ hybridization show specific expression patterns in the adult brain. More comprehensive analysis using RNA deep-sequencing technologies will help further elucidate and identify the exact number of lncRNAs expressed during neuronal development.

Of the 13,870 identified human lncRNAs, approximately one-third are unique to the primate lineage, suggesting that ncRNA-dependent regulation of brain development may have contributed to the evolution of higher cognitive functions. Consistent with this idea, 47 of 49 conserved sequences across evolution displayed sequence substitution rates statistically higher between human and chimpanzees than rates compared to other sequences across amniote evolution. Of these human accelerated regions (HARs) that are non-coding, a quarter of these mapped to locations adjacent to genes that regulate neural development. HAR1F, the most rapidly evolving sequence of all, encodes a lncRNA that is prominently expressed in the developing and adult brain. Although the function of HAR1F is still unknown, this presents a tantalizing link between lncRNAs and the formation of the proportionally larger and more complex human brain.

The large number of lncRNAs that display neuronal-specific expression suggests an important role of lncRNAs in the neuronal diversification seen in higher vertebrates. Additionally, the spatially and temporally restricted expression patterns of many lncRNAs indicate that their expression is tightly regulated, suggesting that lncRNAs may control the specification and function of individual neuronal subtypes. While functional characterization of neuronal-enriched lncRNAs is still limited, broader studies of lncRNA function have implicated lncRNAs as regulators of transcription through both epigenetic regulations of chromatin structure and RNA-transcription factor interactions. Here we focus on reviewing recent advances in the identification and functional analysis of lncRNAs implicated in transcriptional regulation control of neural development.

MECHANISMS OF lncRNA-DEPENDENT TRANSCRIPTIONAL REGULATION

In general, lncRNAs function either in cis, within the same genomic locus, or in trans, affecting gene transcription in a different locus or even on different chromosomes. Many lncRNAs, including the intensely studied Xist and HOTAIR ncRNAs, function through recruitment of the Polycomb repressive complex 2 (PRC2) by binding to PRC2 component histone-lysine N-methyltransferase Ezh2, leading to a local increase in H3K27me3 content and subsequent transcriptional repression. However, other lncRNAs, like the BORDERLINE lncRNA, are shown to inhibit repressive histone modifications either solely through their transcription or by binding to and removing the heterochromatin protein 1 (HP1/Swi6) from the locus. The diverse functions observed for the handful of characterized lncRNAs studied so far underscore the importance of analyzing lncRNA function on an individual basis.

NATURAL ANTISENSE TRANSCRIPTS

Natural antisense RNAs transcripts are lncRNAs that are transcribed from the opposite strand (OS) of protein-coding genes, and therefore, share sequence complementarity. The degree of complementarity of NATs with corresponding sense transcripts varies greatly, however, genome-wide analysis suggests that localization of antisense transcription is generally confined to 250 bp upstream of the sense transcript’s transcription start site and 1.5 kb downstream of the sense gene. As previously reviewed, NATs mediate their function through transcriptional and epigenetic regulation, RNA–DNA interactions, and RNA–RNA interactions. While there are clear examples of antisense transcripts that directly inhibit protein coding gene expression, the inhibition is probably not mediated by complementary base-pairing of sense–antisense transcripts. Since most lncRNAs are expressed at much lower levels than neighboring protein-coding genes, the stoichiometry between sense–antisense pairs is insufficient to simply block splicing or translation of protein coding genes.

One topic of particular current interest is the role of NATs that work in conjunction with epigenetic modifiers. Many imprinted genes are found in genomic clusters and have NATs located within the same locus. The imprinted locus is facilitated through allele specific expression of NATs and corresponding interactions with epigenetic modifiers. For example, the NAT Air interacts with HMT G9a while Kcnq1ot1 interacts with PRC2 components and HMT G9a. Through complementary base pairing and RNA–protein interactions, the NAT transcript allows sequence-specific recruitment of chromatin modifiers to the locus. For both Air and Kcnq1ot1, NAT expression from the paternal allele corresponds to paternal allele silencing through chromatin condensation and bidirectional spreading of epigenetic marks. Epigenetic control of protein coding genes by NATs is also observed in non-imprinted loci. For example, brain-derived neurotrophic factor (BDNF) is regulated by the NAT BDNF-AS. Loss of BDNF-AS is accompanied by increased BDNF transcript abundance, facilitated through an altered chromatin state.

INTRONIC ncRNAs

While reports suggest that up to 35% of lncRNAs localize to intronic sequences, little is known about the function of these sequences. Surprisingly, intronic ncRNAs are predominantly associated with the sense strand of the unprocessed mRNA, but often show expression patterns that are inversely correlated with the processed mRNA. This suggests a complex regulatory relationship in which intronic ncRNA transcription may be independent of transcription of the protein coding pre-mRNA. In some cases, these intronic ncRNAs are precursor transcripts to miRNAs. Recent work has also suggested that many intron-derived RNAs bind to Ezh2 of the PRC2 complex, thus recruiting chromatin structure modifiers to the locus to silence transcription.

NON-CODING OPPOSITE-STRAND TRANSCRIPTS (ncOSTs), PROMOTER-ASSOCIATED lncRNAs, ENHANCER-ASSOCIATED RNAs (eRNAs), ULTRACONSERVED ELEMENT-ASSOCIATED lncRNAs, AND CIRCULAR RNAs

Some lncRNAs are transcribed from the proximal promoters in the opposite direction of protein coding genes, and have been termed “opposite strand” transcripts. Conservative estimates suggest that one-third of brain-enriched transcription factors express corresponding OS transcripts and that many of these may act in cis to regulate protein-coding gene transcription. Many OS transcripts display correlated expression patterns with neighboring protein-coding genes as a result of bi-directional promoters initiating transcription of both the lncRNA and protein-coding gene. Recent reports analyzing the function of Six3OS and Vax2OS, however, indicate that some OS transcripts function in trans, and not by regulating expression of their neighboring protein-coding gene.

Other promoter-associated lncRNAs overlap proximal promoter sequences but are transcribed from the sense strand relative to the protein-coding gene. The transcription of the lncRNA itself can positively impact transcription in cis of the protein-coding gene, by changing chromatin conformation to permit transcription factor recruitment, leading to initiation of protein-coding gene transcription. Alternatively, promoter-associated lncRNAs can inhibit protein-coding gene transcription through one of two different proposed mechanisms. Chromatin de-condensation that occurs as a result of transcription of a lncRNA within the promoter region of a protein-coding gene may inhibit transcription of nearby genes by altering DNA supercoiling. Conversely, it was recently shown that transcription of the CCND1 promoter-associated lncRNA (CCND1-pncRNA) recruits the TLS protein to the promoter of CCND1 during DNA damage. The recruitment of TLS reduces transcription of CCND1 by inhibiting the histone acetyltransferase activity of CBP/p300 at the gene’s promoter. This further suggests that some promoter-associated lncRNAs may regulate transcription of neighboring protein-coding genes through recruitment of chromatin-modifying complexes.

Past efforts in comparative genetics have identified thousands of sequences that display high sequence constraints across evolution. These ultra-conserved regions (UCRs) identified from Fugu rubripes and human or human, mouse, and rat are at least 200 bp and display >90% sequence conservation. The UCRs tend to cluster around genes pertinent to the regulation of organism development. Therefore, the preferential localization and high-degree of sequence conservation has led to the hypothesis that these UCRs are vital to the regulation of development. Further studies analyzing these sequences have identified that many function as enhancer sequences. However, in these studies, many UCRs also overlapped known expressed sequence tag (EST) transcripts that were rationalized as genomic contamination or incompletely spliced pre-mRNA. Roughly 240 (50%) and 84 UCRs (6%) showed evidence for transcription in the and studies, respectively. Additional work on UCRs has since confirmed that these enhancers/UCRs can indeed be transcribed into non-coding sequence.

The discovery that many enhancers or ultra-conserved elements are not only platforms for transcription factor binding but also are transcribed themselves has stimulated studies of the role played by eRNA transcription in the regulation of neighboring genes. Most eRNAs are short sequences, resulting from bi-directional transcription of enhancer sequences. They exhibit H3K4me1-enriched sequences and lack poly-adenylation signals. One proposed mechanism of eRNA function in transcriptional regulation is a ripple effect, a process where growth factor-induced immediate-early gene transcription triggers initiation of transcription at nearby promoters. One could postulate that eRNAs may function in a similar manner, with transcription factors binding to enhancers, recruiting the transcriptional machinery to the enhancer to induce eRNA transcription and chromatin modifications, leading to activation of neighboring genes. To date, however, no evidence is available to suggest such a mechanism exists for eRNA-dependent regulation of transcription. The expression of eRNAs generally correlates with activation of the neighboring gene(s;;;; ).

Examples exist, however, in which lncRNA sequence overlaps the ultraconserved enhancer sequence of neighboring genes. Transcription of lncRNA sequences from ultraconserved sequences, in sharp contrast to eRNAs, may actually inhibit antisense gene transcription of neighboring targets. Analyses of lncRNAs that overlap ultraconserved element sequences have been shown to possess characteristics more similar to lincRNAs, and therefore, are not typically classified as eRNAs. These signatures include H3K4me3 and modification by 3′-polyadenylation. Although many of the transcribed ultra conserved elements overlap known enhancer sequences; only a minority (~4%) are transcribed bi-directionally and are unlikely to encode short RNAs. Together, this provides further indication that these lncRNAs are more similar to lincRNAs than eRNAs. One possible mechanism of function for lncRNAs that overlap ultraconserved enhancer regions comes from recent studies of the lncRNA CCATT1-L. CCATT1-L is expressed from a super enhancer region 515 kb upstream of the MYC locus and positively regulates MYC transcription by facilitating chromatin interactions between the MYC proximal promoter and enhancer elements. This suggests that lncRNAs may facilitate transcription factor recruitment to specific DNA sequences, a potential mechanism discussed in further detail below.

Circular RNAs (circRNA) define a more unconventional and less well understood class of functional ncRNAs. These unique transcripts were originally identified in plants where they function to encode subviral components. In animal species, these transcripts are thought to arise from joining of 5′ and 3′ splice sites within a single exon to form the circular transcript. Recent profiling of mouse, human, and Caenorhabditis elegans identified thousands of conserved circRNAs. The identified circRNAs are often highly conserved, leading the authors to hypothesize that the circRNA transcripts function as molecular decoys for RNA-binding proteins and miRNAs.

LincRNAs

Other lncRNAs do not overlap with either protein coding genes or promoter or enhancer sequences. These are collectively termed long intergenic ncRNAs (lincRNAs). Analyses of the correlated expression patterns of lincRNA and transcripts of neighboring protein-coding genes imply that lincRNAs participate in similar biological processes to neighboring protein-coding genes. This has been interpreted that many lincRNAs may function in cis to regulate expression of nearby genes. However, this finding also raises the possibility that lincRNAs might act in trans to directly or indirectly regulate the activity of co-expressed protein coding genes through RNA–protein interactions.

One classical example of lincRNA function comes from studies of HOTAIR. HOTAIR is transcribed from an intergenic region in the HOXC locus and is involved in recruitment of chromatin modifiers to hundreds of genomic loci. Through interactions with the PRC2 and LSD1 complexes, HOTAIR promotes H2K27 methylation and H3K4 demethylation, respectively, resulting in the leading to gene silencing. More specifically, HOTAIR expression silences expression of genes from the HOXD locus, thereby facilitating HOXC locus gene expression specifying positional identity of the HOTAIR-expressing cells. Knockout of Hotair in mice causes skeletal defects including homeotic transformation of vertebrae resulting from de-repression of multiple HoxD cluster genes, increased expression of ~30 genes from imprinted loci and loss of vertebral boundary specification during development.

COMMON FUNCTIONAL PROPERTIES OF lncRNA-DEPENDENT TRANSCRIPTIONAL REGULATION

As previously stated, many lncRNAs have been proposed to function through interactions with chromatin modifiers. In fact, it is estimated that ~30% of all lincRNAs expressed in mouse ES cells interact with one or more of 11 particular chromatin modifiers. This has been extrapolated to suggest that interaction with chromatin regulators is the major mechanism by which lncRNAs regulate transcription. However, many of these lncRNAs display predominantly cytoplasmic expression, suggesting instead that they may have additional cellular functions. Furthermore, there is reason to suspect that the selectivity of lncRNA–chromatin modifier interactions may have been overestimated. Experiments using overexpressed, tagged lncRNAs followed by mass spectrometry do not take into account the low transcript abundance levels seen for most lncRNAs. Chromatin-modifying enzymes are likewise abundantly expressed in virtually all cell types, particularly in comparison to transcription factors. It is thus possible that weak and possibly non-physiological interactions between lncRNAs and chromatin-modifying proteins may be detected using mass spectrometry. This may include weak interactions of highly expressed proteins that have known RNA binding potential, such as PRC2 complex proteins. Furthermore, recent reports suggest that the PRC2 protein complex is quite promiscuous in its RNA binding specificity. A more systematic interrogation of potential lncRNA–protein interactions using techniques that control for the abundance of both lncRNA and protein, such as protein microarrays, will help clarify this issue.

LncRNAs AS MOLECULAR SCAFFOLDS FOR ORGANIZING TRANSCRIPTION AND SIGNALING

The characterization individual lncRNAs suggest that lncRNAs may function to serve as molecular scaffolds (Figure 2). Aptamer selection experiments reveal that it is relatively easy to evolve RNAs that show moderate binding affinity to a broad range of substrates, including proteins and small molecules, and demonstrate that aptamer–protein interactions show far less constraint at the level of primary sequence than do protein–protein interactions. In combination with homologous Watson–Crick base pairing, which provides a ready means by which RNA can selectively interact with other nucleic acid targets, this allows lncRNAs to act as molecular hubs that facilitate assembly of macromolecular complexes that can include proteins, DNA, and other RNAs.

If secondary structure primarily underlies lncRNA–protein interactions, as implied by aptamer studies, conventional sequence alignment software may not be optimal for identifying functional lncRNAs. Indeed, recent reports suggest that >20% of the human RNAs display evolutionarily conserved secondary structures independent of primary sequences. Reports analyzing interactions of the lncRNA Xist, RepA, or other short ncRNAs suggest that a double stem–loop structure is sufficient for PRC2 binding. The presence of short repeats within lncRNAs that display conserved secondary structure can then facilitate protein recruitment to the regions where the lncRNA is localized. This has been recently exemplified by the lncRNA Firre, which contains repeat domains for nuclear matrix factor hnRNPU binding. In serving as a scaffold, Firre is thought to mediate intra-chromosomal bridging and focalized transcription of Firre-regulated targets.

Further evidence of lncRNAs serving as molecular scaffolds comes from studies analyzing lncRNA co-localization with the nuclear paraspeckles, domains that are thought to be locations of retained RNAs where alternative splicing events are regulated (reviewed in ). The highly expressed nuclear lncRNAs Neat1 and Malat1 both localize to these nuclear subdomains. The paraspeckle domains are thought to be locations of retained RNAs where alternative splicing events are regulated (reviewed in ). Neat1 induces paraspeckle formation and Malat1 recruits splicing factors to these domains. Through both RNA–RNA interactions and RNA–protein interactions, these lncRNAs are thus implicated in regulating splicing.

Analysis of the lncRNA Hotair suggests that lncRNAs can also regulate post-transcriptional processes. Hotair associates with the RNA-binding and ubiquitin ligase proteins Dzip3 and Mex3b. Additionally, Hotair binds the ubiquitin ligase substrates Ataxin-1 and Snurportin-1, thereby facilitating interaction of the proteins and ubiquitin-dependent degradation of Ataxin-1 and Snurportin-1. Additional studies like these are required to address the functions of the multitude of lncRNAs that are expressed in the cytoplasm and that do not directly regulate chromatin modifications and gene transcription.

LncRNAs IN THE DEVELOPING NERVOUS SYSTEM

Transcript expression analyses within the nervous system have shown an abundance of lncRNAs that display spatially restricted and temporally dynamic expression. In fact, lncRNAs generally display more tissue specificity than protein-coding genes. The spatial and temporal regulation of lncRNAs is therefore hypothesized to promote neuronal diversification and specification. Indeed, comparative analyses of sequences from human and chimpanzee brains identified non-coding HARs that display fast evolution and are correlated with human-specific brain functions. The HARs and many other lncRNAs display preferential genomic localization near protein-coding genes involved in neurodevelopment and are proposed to function through cis-regulation of the locus, further implicating the requirement of lncRNA function in neurodevelopment. In addition, biological significance of lncRNAs in the developing nervous system is beginning to be understood through both loss- and gain-of-function experiments analyzing individual lncRNAs. Information regarding the identity and function of lncRNAs expressed in the developing central nervous system (CNS) is summarized in Table 1.

INSIGHTS FROM CONTROLLED DIFFERENTIATION OF ES CELLS

Recent studies have focused on the identification of lncRNAs expressed during neuronal differentiation, either in stem cells or in vivo. The rationale behind these studies suggests that the identification of lncRNAs that display dynamic expression across developmental stages can be extrapolated to lncRNA participation in differentiation. For example, expression profiling of embryoid body (EB) differentiation of mouse embryonic stem cells (ES) revealed 174 lncRNAs that displayed differential expression patterns. Consistent with previous reports on protein-coding gene expression in pluripotent cells, twice as many lncRNAs were expressed during pluripotent stages versus more committed lineages. Overall, 12, 7, and 31 lncRNAs displayed dynamic expression patterns consistent with pluripotency, primitive streak formation/gastrulation and hematopoiesis, respectively, with many lncRNAs displaying expression patterns with positive correlations to neighboring protein-coding genes. Further reports have identified 226 lncRNAs expressed in pluripotent ES cells, 137 of which were knocked-down and showed a significant impact on ES cell gene expression. Importantly, loss-of-function studies indicated that 26 of these lncRNAs function to maintain ES cell pluripotency. In both studies, many identified lncRNAs were proposed to regulate gene transcription through identified RNA–protein interactions of lncRNA and protein components of chromatin-modifying complexes. The importance of lncRNAs in pluripotency was further confirmed through observations where two lncRNAs, themselves transcriptional targets of Oct4 and Nanog, regulate pluripotency through a feedback-loop regulating Oct4 and Nanog transcript expression.

Additional studies have more specifically characterized the requirement of lncRNAs in neural and oligodendrocyte induction. In comparing neural progenitor cells differentiated from human ES cells, observed 934 of 6671 lncRNAs that displayed differential expression by microarray analysis. Similar to previous reports in mouse ES cells, 36 lncRNAs displayed expression patterns consistent with regulation of pluripotency, three of which were experimentally shown to regulate pluripotency through knockdown studies and contained OCT4- and NANOG-binding sites in their proximal promoter. Further characterization through RNA immunoprecipitation (RIP) indicated that two lncRNAs interacted directly with the pluripotency transcription factor SOX2 and the PRC2 chromatin-modifying complex component SUZ12. In these studies, 35 lncRNAs displayed expression patterns consistent with a role in neural induction, four of which were studied and shown to be required for proper neural differentiation. Of these four lncRNAs, one (AK055040) was shown to interact with SUZ12, indicating a functional role in chromatin modifications in the regulation of neurogenesis. An additional lncRNA (AK124684) was found to interact with the transcriptional factor REST, a master negative regulator of neurogenesis that binds to the promoters of neurogenic genes to inhibit gene transcription. A third lncRNA (AK091713) was subsequently shown to contain miRNAs miR-125b and let-7a within its intronic sequence, thereby driving neurogenesis through the expression of neurogenic miRNAs. Other studies identified that the lncRNAs Six3OS and Dlx1AS are required for directed differentiation of pluripotent stem cells towards a neuronal precursor identity.

Among lncRNAs found to regulate neurogenesis, the lincRNA RMST was targeted for additional follow-up studies. RMST in humans is located ~150 kb away from the closest annotated protein-coding gene. The promoter of RMST contains REST binding sites and is occupied by REST, suggesting that RMST is activated during neurogenesis through dissociation of REST from the promoter. Analysis of RMST revealed that RMST promotes neurogenesis through inhibition of glial fates. RNA pull-down experiments indicated that RMST interacts with the RNA binding protein hnRNPA2/B1 and SOX2, both of which are also required for neuronal differentiation. Ultimately, it was observed that RMST regulates neuronal differentiation through directing SOX2 to the promoter of neurogenic transcription factors, to promote neurogenic gene expression and neural fate commitment. RMST does not bind REST or the PRC2 chromatin-modifying complex protein SUZ12. Using both RIP and chromatin isolation by RNA purification (ChiRP) to identify DNA-binding sites of lncRNAs, the researchers provided evidence that RMST binds to promoters of Sox2 target genes, and activates transcription of these genes by recruiting Sox2. The mechanism by which RMST is recruited to Sox2 consensus binding sites is unclear, but is postulated to occur through homologous base pairing that leads to the formation of RNA–DNA hybrids. If this is the case, this may turn out to be a more general mechanism by which trans-acting lncRNAs regulate gene expression.

Similar to RMST, utNgn1, and Sox2dot display expression profiles that positively correlate with differentiation of neural progenitors. Importantly, both of these lncRNAs overlap sequences of ultra conserved elements implicated in neuronal development. UtNgn1 is required for Neurogenin1 (Neurog1) transcription and PRC2-mediated repressive signals at the utNgn1 locus are associated with both decreases in utNgn1 and Neurog1 transcript abundance. Inhibition of utNgn1 expression during mouse cortical progenitor differentiation resulted in decreased expression of neurogenic markers, consistent with a role of utNgn1 in promoting neurogenesis through activation of Neurog1 transcription. The exact mechanism by which transcription of utNgn1 at the Neurog1 enhancer mediates Neurog1 transcription remains elusive. Similarly, expression of Sox2dot in the neurogenic regions of the brain suggests that it functions to regulate neural development. The function of Sox2dot in neural development remains to be investigated.

More recent experiments have identified 20 additional lncRNAs that regulate pluripotency. In particular, the lncRNA TUNA, was shown to be highly conserved among vertebrates and was expressed within the developing nervous system. TUNA was shown to regulate pluripotency through the binding of three RNA binding proteins and co-occupancy of the RNA–protein complex at the promoters of Sox2, Nanog, and Fgf4. Inhibition of TUNA resulted in the decreased capacity of mESCs to differentiate to neural lineages. Consistent with a role in regulating neural development, TUNA expression is correlated with Huntington’s disease (HD) prognosis, and inhibition of TUNA in zebrafish results in locomotor defects.

LncRNAs in retinal development

While the identification and validation of the function of lncRNAs during neuroectodermal differentiation from cultured ES cells have provided a wealth of information regarding which lncRNAs to target, relatively few studies have begun to examine the role of individual lncRNAs in vivo during neurodevelopment. To date, many examples of lncRNA function in vivo come from studies analyzing the role of ncRNAs during retinal development (reviewed in ). Specifically, four lncRNAs have been implicated in regulating cell fate decisions during retinal development. Tug1 was identified in a screen to characterize genes that display enhanced expression in response to taurine, which promotes rod photoreceptor differentiation. Tug1 knock-down experiments displayed abnormal morphology of inner and outer segments of photoreceptors, accompanied by increased cell death and an increase in the percentage of electroporated cells expressing the cone-photoreceptor marker peanut agglutinin (PNA; ). Studies analyzing the interactions of lincRNAs with chromatin-modifying complexes identified an association between TUG1 and the PRC2 complex. Further characterization of Tug1 revealed that it is activated in a p53-dependent manner, and loss of Tug1 results in the up-regulation of ~120 genes, most of which are genes involved in cell-cycle regulation. Combined, these results indicated that Tug1 functions to promote rod genesis through inhibition of cone photoreceptor cell fate through its interactions with repressed chromatin. However, only a subset of cellular Tug1 RNA is localized to the nucleus, suggesting that other mechanisms of TUG1 function may exist.

The lncRNAVax2os has been shown to display predominately retinal expression, specifically at post-natal periods during mouse development. Vax2os1 was also found to regulate mouse photoreceptor differentiation. Vax2os1 is endogenously expressed in the ventral retina of mice, primarily localizing to the outer neuroblastic layer of the developing retina. Overexpression of Vax2os1 increases the proportions of proliferating cells in the dorsal retina (low endogenous expression of Vax2os1) through perturbation of cell cycle progression in neural progenitors. The increase in proliferative progenitors and increased apoptosis in Vax2os1 overexpressing cells resulted in a decrease of photoreceptor differentiation.

The lncOST Six3os is co-expressed with the homeodomain transcription factor Six3 in retinal progenitor cells. Six3os is juxtaposed to Six3 and transcribed in the opposite direction of Six3 in both mouse and human. Six3os, however, does not regulate Six3 transcription. The Six3os transcript forms an RNA–protein complex with transcriptional co-regulators of Six3 such as Eya1, but not with Six3 itself, suggesting that Six3os controls expression of Six3 target genes. Furthermore, Six3os interacts with the Ezh2 component of the PRC2 complex, suggesting that Six3os may function to repress Six3 targets by triggering H3K27me3 modification. This is further supported by experiments in which Six3os overexpression blocked changes in retinal cell fate induced by Six3 overexpression. Inhibition of Six3os expression resulted in a decrease in rod bipolar cells with a concomitant increase in Müller glial cell number. This phenotype is similar to loss of function of Six3 alone.

Another lncRNA that is also prominently expressed in the retina and has recently been functionally characterized is Gomafu (also known as RNCR2 and Miat). Gomafu is one of the most abundant polyadenylated RNAs found in the neonatal retina, and is expressed widely throughout the nervous system, displaying nuclear localization to a novel nuclear domain within neural precursors. Overexpression of Gomafu in the developing retina had no effect on retinal development, presumably due to the already high abundance levels of Gomafu transcript. Inhibition of Gomafu expression/function resulted in an increase in amacrine and Müller glial cells in the developing retina, suggesting that Gomafu negatively regulates amacrine cell fate specification and delays Müller glial cell specification. Additional studies on Gomafu revealed that it selectively bound splicing regulators such as SF1 and Qk, and that its loss of function disrupted splicing of a subset of neuronal pre-mRNAs. However, the mechanism by which Gomafu-dependent mRNA splicing affects amacrine and Müller glial cell specification remains elusive. Since many other lncRNAs are prominently expressed in the developing retina, further studies will undoubtedly identify further instances in which lncRNAs regulate the expression and/or activity of protein-coding genes essential for retinal development.

LncRNAs that regulate development of other CNS regions

Although the study of lncRNAs in other regions of the developing CNS has lagged behind studies in retina until recently, this is now rapidly changing. At least a half-dozen lncRNAs have now been functionally characterized in developing brain. Several examples of functional lncRNAs have been identified through analysis of the transcriptional control of GABAergic interneuron specification. During development, multipotent progenitors that give rise to both GABAergic interneurons and oligodendrocytes are generated from the medial and caudal ganglionic eminences of the ventral telencephalon. In vitro differentiation of embryonic forebrain-derived neural stem cells identified a host of additional lncRNAs dynamically expressed during GABAergic interneuron specification, including two lncRNAs that overlap ultraconserved enhancers of the DLX family of proteins, Dlx1AS and Evf2.

Evf2 is partially transcribed from an ultra-conserved enhancer sequence (ei) located between the convergently transcribed Dlx5 and Dlx6 genes. Evf2 is transcribed in the antisense direction to Dlx6, with the entire sequence for Dlx6 localized within intron 2 of Evf2. Transcription of Evf2 results in the recruitment of Dlx1/2 and MECP2 transcription factors to the Dlx5/6 enhancers to regulate Dlx5/6 transcription. Loss of Evf2 results in an increase in Dlx6 transcript abundance, a phenotype that cannot be rescued with Evf2 overexpression, suggesting that transcription of Evf2 inhibits activation of Dlx6 transcription in cis through opposite-strand inhibition. Further studies indicate that Evf2 trans activity inhibits the ei enhancer methylation. Altogether, Evf2 functions in both cis and trans to regulate transcription of Dlx5/6 and chromatin status of the ei ultra-conserved enhancer.

Dlx1AS is localized in the Dlx1/2 locus similar to Evf2 in the Dlx5/6 locus, such that Dlx1AS overlaps the conserved enhancer between the convergently transcribed Dlx1/2 genes. In contrast to the genomic architecture of Evf2, exon 2 of Dlx1AS overlaps the Dlx1 coding sequence in the antisense orientation, suggesting Dlx1AS may also function as a NAT. Genetic loss of Dlx1AS results in increased Dlx1 expression, suggesting a negative regulation of Dlx1 by Dlx1AS, potentially through antisense inhibition. These reports suggest that lncRNAs transcribed from ultra conserved sequences can function through molecular mechanisms shared with other classes of lncRNAs. They may also control activity and/or recruitment of transcription factors at enhancers through dosage or allelic differences in lncRNA abundance, adding an additional layer of complexity to enhancer-mediated gene regulation.

In order to study loss of function of Dlx1AS and Evf2 in vivo, homologous recombination was used to insert premature poly-adenylation sequences in both lncRNAs, as genomic deletion of either Dlx1AS or Evf2 would alter expression or affect primary sequence of neighboring protein-coding genes.

Insertion of the transcriptional terminator sequence in the Evf2 locus results in a significant, but incomplete loss of lncRNA transcript expression, likely resulting in a hypomorphic phenotype. Loss of Evf2 results in an early decrease in GABAergic neurons in the hippocampus and dentate gyrus in juvenile mice. Although the deficit in GABAergic neuron number is recovered in in adult mice, loss of Evf2 results in reduced inhibition of CA1 pyramidal neurons, likely the result of synaptic defects from reduced Gad1 levels.

Similarly, in addition to mild defects resulting in craniofacial anomalies, loss of Dlx1AS also affects the number of hippocampal interneurons. Loss of Dlx1AS results in increased interneuron number, likely due to an increase in Dlx1 expression that triggers a corresponding increase of expression of Mash1. Similar to Evf2 studies, early changes in interneuron number are not maintained into adulthood in Dlx1AS mice, suggesting compensatory mechanisms regulating proper number of neurons. Combined with the observations of decreased Olig2 expression in Dlx1AS mutant mice, Evf2 and Dlx1AS may be functioning to control levels of the Dlx protein family to generate the proper proportion of oligodendrocytes and GABAergic neurons generated from the bipotent precursor. Other studies have indicated that lncRNAs can play a pivotal role in controlling neural versus oligodendrocyte fate decisions. This includes studies in which Nkx2.2AS was overexpressed in ventral telencephalic progenitors and was observed to drive oligodendrocyte specification, possibly by increasing Nkx2.2 levels.

Studies in zebrafish have examined conserved lincRNAs that display short sequences of high homology across evolution and syntenic genomic localization. The lncRNAs cyrano and megamind are highly expressed throughout the developing nervous system. Morpholino knockdown of cyrano and megamind results in zebrafish with reduced brain and eye size. Additional phenotypes include neural tube closing defects and reduced accumulation of the NeuroD-GFP positive neurons in the developing eyes and brain. In examining the evolutionary conservation of function of lncRNAs, the researchers showed that the syntenic mouse and human lncRNAs could partially rescue the observed phenotypes from megamind inhibition. Additionally, the rescue using mouse and human orthologs was dependent on expression of the evolutionarily conserved sequence. Interestingly, the conserved sequence of cyrano was not sufficient to rescue decreased cyrano expression. The conserved sequence of cyrano, however, matched the consensus binding sequence of miR-7, suggesting regulation of cyrano by miR-7, or conversely, cyrano functioning as a miRNA decoy.

Similar to cyrano, the circRNA CDR1as also serves as a miR-7 decoy. CDR1as is highly conserved amongst mammals and contains 63-consensus miR-7 binding sites conserved among two or more species. CDR1as is an antisense transcript to the CDR1 coding sequence and shares a similar expression pattern to miR-7 during brain development. Over-expression of the human CDR1as in zebrafish, which have lost the entire CDR1 locus, results in a decreased size of the midbrain, similar to miR-7 loss-of-function. Together, these data suggest that CDR1as acts as an endogenous “sponge” that attenuates the action of miR-7 on protein coding mRNAs through competitive binding.

Like Six3os in retina, recent experiments examining the lncRNA Paupar have uncovered another instance of a lncRNA that cooperates with the neighboring protein-coding gene to regulate transcription. Paurpar is localized ~8.5 kb upstream of the homeodomain factor Pax6, which regulates many different aspects of CNS development. Interestingly, Paupar is localized within the first intron of the ncRNA Pax6os1, and is generally coexpressed with Pax6 mRNA. However, Paupar inhibition results in an increase in Pax6 expression. Comparing changes in gene expression seen following knockdown of Paupar and Pax6 revealed many genes that showed similar changes in expression, indicating that while Paupar regulates expression of Pax6 itself, Paupar is also likely to participate in the regulation of Pax6 target genes. Using capture hybridization analysis of RNA targets (CHART), the researchers found that Paupar occupied >2500 genomic sites, localizing to the promoters of many genes involved in stem cell maintenance and neuronal development. Further characterization indicated that Paupar and Pax6 co-occupy 71 different genomic loci, suggesting that both directly co-regulate transcription of these genes. It remains to be determined, however, if Paupar and Pax6 physically associate to regulate target genes. It will also be important to examine the Pax6-independent functions of Paupar as a majority of the genomic binding sites of Paupar are not co-occupied by Pax6.

Recently, a small consortium has targeted multiple lincRNAs for genetic deletion and begun reporting phenotypic analyses. In their studies, seven of the 18 lincRNAs targeted for knockout were shown to have human orthologs that were dynamically expressed during directed neuronal differentiation of ES cells. In particular, the deletion of the lincRNA linc-Brn1b was analyzed. Linc-Brn1b is localized less than 10 kb downstream of the Brn1 gene, and is transcribed from the OS of Brn1. Deletion of linc-Brn1b results in mice with reduced Brn1 transcript abundance. These mutants display features similar to Brn1/Brn2 double knockouts, including reduced proliferation of intermediate progenitors within the sub-ventricular zone (SVZ) of the dorsal telencephalon, reduced production of upper layer cortical neurons and a reduction in total size of the barrel cortex. As linc-Brn1b was completely excised in the knockout studies and the phenotypes mimic some features of Brn1 knockouts, the possibility exists that the observed phenotypes are partially the result of decreased Brn1 expression due to a lost enhancer sequence within linc-Brn1b. Further characterization of linc-Brn1b and other lincRNA knockout lines generated in these studies will continue to elicit the importance of lncRNAs in neuronal development.

LncRNAs IN DISORDERS OF THE NERVOUS SYSTEM

Many groups are taking advantage of RNA-Seq and lncRNA microarray technologies to identify altered transcript expression levels between control and diseased states within various human neurological and psychiatric disorders. While useful, with few exceptions, these studies have not functionally implicated these lncRNAs in disease progression. Here we review the limited number of studies that directly link altered lncRNA function to the development and progression of neurological disease.

One of the better studied lncRNAs associated with human disease is ANRIL (also known as CDKN2B-AS). Genome-wide association studies have associated numerous polymorphisms on human chromosome 9p21 that segregate with diseases including cardiovascular disease, Type-2 diabetes, Alzheimer’s disease (AD), primary open angle glaucoma, endometriosis, periodontitis, and several cancers (reviewed in ). Polymorphisms map to both the promoter and transcribed region of ANRIL, including many transcription factor-binding sites located throughout the locus. ANRIL has been shown to bind CBX7 and SUZ12 of the PRC1 and PRC2 complexes, respectively, to regulate the histone modification status of the nearby CDKN2A and CDKN2B genes. As both increased and decreased ANRIL expression levels correlate with disease states, the fine control of CDKN2B/CDKN2A transcript abundance seems paramount to normal development.

Kcna2AS is an antisense ncRNA to the voltage-gated potassium channel Kcna2. Expression of Kcna2AS was observed in dorsal root ganglia (DRG) and was expressed at higher levels in ganglia exhibiting lower levels of Kcna2 protein expression, or after spinal nerve injury. Spinal nerve injury causes an increase of myeloid zinc finger protein 1 (MZF1) binding to the proximal promoter of Kcna2AS, causing an increased expression of Kcna2AS with a concomitant decrease in Kcna2 transcript and protein abundance. Additional experiments found that expression of Kcna2AS causes a decrease in voltage-gated potassium currents and an increase in membrane resting potential, suggesting that pain hypersensitivity or neuropathic pain can be caused by altered Kcna2AS levels.

Recent studies have also implicated altered lncRNA expression as associated with AD progression. AD is characterized by a progressive neurodegeneration that leads to memory and cognitive impairment. A hallmark component of the pathological condition is the buildup of extracellular beta amyloidal plaques. The amyloid precursor protein (APP) is cleaved in the initial and rate-limiting step by β-secretase enzyme (BACE1) to form the amyloid β precursor proteins Aβ 1–40 and Aβ 1–42. In pathological conditions, the Aβ 1–42 proteins oligomerize and contribute to the plaques that participate in AD. As a result, it has been suggested that BACE1 misregulation can contribute to excess Aβ 1–42 protein production and the development of amyloid plaques. Recent work has identified an antisense transcript to BACE1 (BACE1-AS) that encodes a conserved ~2 kb lncRNA with a 104 bp overlap with the human BACE1 transcript. Both overexpression and knockdown experiments indicated that BACE1-AS is a positive regulator of BACE1 transcript and protein abundance. Mechanistically, BACE1-AS stabilizes the BACE1 transcript, protecting it from RNA degradation through RNA–RNA pairing of the BACE1-AS and BACE1 homologous regions. Importantly, BACE1-AS and BACE1 transcripts were induced by many cell stressors that are implicated in the initiation of AD, suggesting a direct mechanism by which cell stress can lead to increased Aβ precursor protein production. The importance of BACE1-AS in AD was further supported through examinations of primary tissues from multiple brain regions, where BACE1-AS transcript abundance was elevated twofold in confirmed AD patient brain samples compared to age- and sex-matched controls. Further characterization of BACE1-AS in a transgenic mouse model of AD indicated that BACE1-AS inhibition reduces the insoluble fraction of Aβ 1–40 and Aβ 1–42 precursor proteins, suggesting that increased BACE1-AS expression does directly contribute to AD pathology.

Other aspects of AD are also potentially regulated through lncRNA function. Recent work on neurotrophin levels in diseases of the brain have indicated that reduced neurotrophin levels (BNDF and glial derived neurotrophic factor – GDNF) correlate with the onset of neurodegenerative disorders such as Parkinson’s disease, AD, and HD (reviewed in ). This has led to potential therapeutics aimed at increasing neurotrophin levels. However, as both BDNF and GDNF display complex splicing regulation, other mechanisms of therapeutic intervention than exogenous neurotrophin replacement may be better suited to treating the diseases. Interestingly, both BDNF and GDNF have corresponding anti-sense or OS transcripts (BDNF-AS and GDNF-OS), however, one of the three GDNF-OS transcripts is likely protein coding. Knockdown of either BDNF-AS or GNDF-OS results in an increase in corresponding protein-coding gene transcript abundance, implying that these lncRNAs negatively regulate neurotrophin expression. Further characterization of BDNF-AS indicates that BDNF-AS recruits EZH2 and the PRC2 complex to the BDNF promoter to repress BDNF transcription through H3K27me3 histone modifications. Combined with studies in which treatment with exogenous BDNF rescued HD phenotypes in mice, these experiments suggest that inhibition of neurotrophin antisense transcripts may provide a novel target for treatment of neurodegenerative disease.

LncRNAs have also been implicated in nervous system disorders through their role in pre-mRNA splicing. The lncRNAs Gomafu and Malat1 are both highly expressed in the nervous system and regulate splicing through interactions with splicing factors. Interestingly, aberrant splicing of the genes DISC1 and ERBB4, among others, is associated with disease pathology in schizophrenia (SZ;;; ). Additionally, the Gomafu-bound splicing factor QKI is downregulated in SZ brains and is proposed to contribute to disease pathology. Recently, Gomafu has been shown to interact with multiple splicing factors, including a strong interaction with QKI. Gomafu expression is also significantly decreased shortly after neuronal depolarization in the cortical neurons in mice, and in human induced pluripotent stem cell (iPSC)-derived neurons. Combined with GWAS studies linking Gomafu with eye movement disorders in SZ, this led to the hypothesis that loss of function of Gomafu may directly contribute to SZ disease pathology. Indeed, Gomafu is significantly reduced in superior temporal gyrus of SZ brain samples compared to controls. Knockdown of Gomafu in iPSC neurons also results in an increase in rare splice variants of DISC1 and ERBB4, matching splicing patterns observed in vivo from human SZ brains.

With the increased use of whole exome sequencing and copy number variations (CNV) for genetic analysis of patients with neurological diseases, our understanding of the importance of lncRNAs in neurodevelopment will only be further increased. For example, one patient that displayed a cognitive developmental delay possessed a chromosomal translocation that affected linc00299. Further examinations of patient databases identified an additional four patients that displayed developmental delay and disruption of the linc00299 locus, suggesting that linc00299 is vital for proper neuronal development. Further characterization of lncRNA function in animal models and in vitro will continue to expand our knowledge on the importance of lncRNAs in both human development and disease.

CONCLUSION

Advances in sequencing technologies and the appreciation of functional non-coding elements have resulted in the rapid identification of a plethora of lncRNAs expressed in both vertebrate and invertebrates, alike. Systematic characterization of temporally and spatially restricted expression patterns in the developing nervous system has provided the groundwork for hypotheses regarding lncRNA function. As we understand more about the mechanism by which lncRNAs are regulating transcription, we are beginning to understand the biological significance of what once was labeled as “junk DNA.” Many lncRNAs regulate transcription through regulation of epigenetics and interactions with chromatin-modifying complexes, although the mechanism by which lncRNAs are recruited to specific genomic loci is still unclear. Recently developed technologies have the potential to greatly expand our understanding of the mechanism by which lncRNAs function. The advent of techniques such as ChIRP and CHART allow for systematic characterization of DNA binding sites of lncRNAs throughout the genome. Additionally, protein arrays, as used to identify Six3os binding partners, allow for an unbiased approach to identifying physiologically relevant protein binding partners. These techniques will further our understanding of how lncRNAs function as molecular scaffolds and will enable the functional characterization of lncRNAs working in trans. While not the focus of this review, it is also essential to consider the function of lncRNAs that display cytoplasmic expression, which represent a large fraction of lncRNAs and whose function is poorly understood (reviewed in ). Further characterization of lncRNA–protein interactions through protein arrays will help facilitate these discoveries. As many cytoplasmic lncRNAs associate with ribosomes, it is intriguing to speculate that lncRNAs function as scaffolds to regulate localized protein synthesis and/or degradation, a concept vitally important in the control of synaptic function.

As we continue to understand the molecular basis of lncRNA function, it is imperative that studies move from in vitro, homogeneous cell populations and begin to examine the consequence within individual cell types. Neuronal diversification has exhibited a multitude of examples in which transcriptional regulation and cell-fate decisions are very context and cell-type specific. Therefore, it is plausible that individual lncRNAs may display diverse functions that are dependent on their spatial and temporal expression pattern. Inherent to the examination of specific cell types is that epigenetic marks may display vast temporal and/or cell-type specific signatures. In vivo experiments continue to shed light on the importance of lncRNA function throughout neuronal development. As mouse models for genetic loss of lncRNAs such as Evf2, Dlx1AS, Malat1, and Neat1 produce modest phenotypes or fail to recapitulate phenotypes observed in knockdown experiments, it is important to consider that lncRNAs may have evolved to function as a fine-tuning mechanism to ensure proper regulation of neuronal cell type proportions in the highly complex mammalian nervous system. Genetic compensation may mask phenotypes resulting from conventional gene knockout approaches, which conditional or acute loss of function studies may readily detect. Furthermore, efforts need to be made to carefully examine genetic models of lncRNA loss-of-function, however, being constantly mindful of the fact that many lncRNAs overlap conserved regulatory elements that may have function independent of the lncRNA itself, complicating interpretation of any observed phenotypes. Further exploration of lncRNA function will only continue to add to our appreciation of the complexity of transcriptional regulation, especially within the context of the seemingly endlessly complex development of the nervous system.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References 202

  1. 1.

    Aberg K. Saetre P. Jareborg N. Jazin E. (2006a ). Human QKI, a potential regulator of mRNA expression of human oligodendrocyte-related genes involved in schizophrenia. Proc. Natl. Acad. Sci. U.S.A. 103 7482–7487

    Not in our library10.1073/pnas.0601213103

  2. 2.

    Aberg K. Saetre P. Lindholm E. Ekholm B. Pettersson U. Adolfsson R. (2006b ). Human QKI, a new candidate gene for schizophrenia involved in myelination. Am. J. Med. Genet. B Neuropsychiatr. Genet. 141B 84–90

    Not in our library10.1002/ajmg.b.30243

  3. 3.

    Abrajano J. J. Qureshi I. A. Gokhan S. Zheng D. Bergman A. Mehler M. F. (2009 ). REST and CoREST modulate neuronal subtype specification, maturation and maintenance. PLoS ONE 4:e7936

    Not in our library10.1371/journal.pone.0007936

  4. 4.

    Abramov A. Y. Canevari L. Duchen M. R. (2004 ). Beta-amyloid peptides induce mitochondrial dysfunction and oxidative stress in astrocytes and death of neurons through activation of NADPH oxidase. J. Neurosci. 24 565–575

    Not in our library10.1523/jneurosci.4042-03.2004

  5. 5.

    Aguilo F. Zhou M. M. Walsh M. J. (2011 ). Long noncoding RNA, polycomb, and the ghosts haunting INK4b-ARF-INK4a expression. Cancer Res. 71 5365–5369

    Not in our library10.1158/0008-5472.can-10-4379

  6. 6.

    Airavaara M. Pletnikova O. Doyle M. E. Zhang Y. E. Troncoso J. C. Liu Q. R. (2011 ). Identification of novel GDNF isoforms and cis-antisense GDNFOS gene and their regulation in human middle temporal gyrus of Alzheimer disease. J. Biol. Chem. 286 45093–45102

    Not in our library10.1074/jbc.m111.310250

  7. 7.

    Alfano G. Vitiello C. Caccioppoli C. Caramico T. Carola A. Szego M. J. (2005 ). Natural antisense transcripts associated with genes involved in eye development. Hum. Mol. Genet. 14 913–923

    Not in our library10.1093/hmg/ddi084

  8. 8.

    Allen S. J. Watson J. J. Shoemark D. K. Barua N. U. Patel N. K. (2013 ). GDNF, NGF and BDNF as therapeutic options for neurodegeneration. Pharmacol. Ther. 138 155–175

    Not in our library10.1016/j.pharmthera.2013.01.004

  9. 9.

    Altshuler D. Lo Turco J. J. Rush J. Cepko C. (1993 ). Taurine promotes the differentiation of a vertebrate retinal cell type in vitro. Development 119 1317–1328

    Not in our library10.1242/dev.119.4.1317

  10. 10.

    Amaral P. P. Dinger M. E. Mercer T. R. Mattick J. S. (2008 ). The eukaryotic genome as an RNA machine. Science 319 1787–1789

    Not in our library10.1126/science.1155472

  11. 11.

    Amaral P. P. Neyt C. Wilkins S. J. Askarian-Amiri M. E. Sunkin S. M. Perkins A. C. (2009 ). Complex architecture and regulated expression of the Sox2ot locus during vertebrate development. RNA 15 2013–2027

    Not in our library10.1261/rna.1705309

  12. 12.

    Anderson S. A. Eisenstat D. D. Shi L. Rubenstein J. L. (1997 ). Interneuron migration from basal forebrain to neocortex: dependence on Dlx genes. Science 278 474–476

    Not in our library10.1126/science.278.5337.474

  13. 13.

    Aprea J. Prenninger S. Dori M. Ghosh T. Monasor L. S. Wessendorf E. (2013 ). Transcriptome sequencing during mouse brain development identifies long non-coding RNAs functionally involved in neurogenic commitment. EMBO J. 11 3145–3160

    Not in our library10.1038/emboj.2013.245

  14. 14.

    Ballas N. Grunseich C. Lu D. D. Speh J. C. Mandel G. (2005 ). REST and its corepressors mediate plasticity of neuronal gene chromatin throughout neurogenesis. Cell 121 645–657

    Not in our library10.1016/j.cell.2005.03.013

  15. 15.

    Banfai B. Jia H. Khatun J. Wood E. Risk B. Gundling W. E. (2012 ). Long noncoding RNAs are rarely translated in two human cell lines. Genome Res. 22 1646–1657

    Not in our library10.1101/gr.134767.111

  16. 16.

    Barry G. (2014 ). Integrating the roles of long and small non-coding RNA in brain function and disease. Mol. Psychiatry 19 410–416

    Not in our library10.1038/mp.2013.196

  17. 17.

    Barry G. Briggs J. A. Vanichkina D. P. Poth E. M. Beveridge N. J. Ratnu V. S. (2013 ). The long non-coding RNA Gomafu is acutely regulated in response to neuronal activation and involved in schizophrenia-associated alternative splicing. Mol. Psychiatry 19 486–494

    Not in our library10.1038/mp.2013.45

  18. 18.

    Barry G. Mattick J. S. (2012 ). The role of regulatory RNA in cognitive evolution. Trends Cogn. Sci. 16 497–503

    Not in our library10.1016/j.tics.2012.08.007

  19. 19.

    Basu S. Müller F. Sanges R. (2013 ). Examples of sequence conservation analyses capture a subset of mouse long non-coding RNAs sharing homology with fish conserved genomic elements. BMC Bioinformatics 14(Suppl. 7):S14

    Not in our library10.1186/1471-2105-14-s7-s14

  20. 20.

    Batista P. J. Chang H. Y. (2013 ). Cytotopic localization by long noncoding RNAs. Curr. Opin. Cell Biol. 25 195–199

    Not in our library10.1016/j.ceb.2012.12.001

  21. 21.

    Bazzini A. A. Johnstone T. G. Christiano R. Mackowiak S. D. Obermayer B. Fleming E. S. (2014 ). Identification of small ORFs in vertebrates using ribosome footprinting and evolutionary conservation. EMBO J. 33 981–993

    Not in our library10.1002/embj.201488411

  22. 22.

    Bejerano G. Pheasant M. Makunin I. Stephen S. Kent W. J. Mattick J. S. (2004 ). Ultraconserved elements in the human genome. Science 304 1321–1325

    Not in our library10.1126/science.1098119

  23. 23.

    Berghoff E. G. Clark M. F. Chen S. Cajigas I. Leib D. E. Kohtz J. D. (2013 ). Evf2 (Dlx6as) lncRNA regulates ultraconserved enhancer methylation and the differential transcriptional control of adjacent genes. Development 140 4407–4416

    Not in our library10.1242/dev.099390

  24. 24.

    Bernard D. Prasanth K. V. Tripathi V. Colasse S. Nakamura T. Xuan Z. (2010 ). A long nuclear-retained non-coding RNA regulates synaptogenesis by modulating gene expression. EMBO J. 29 3082–3093

    Not in our library10.1038/emboj.2010.199

  25. 25.

    Bertone P. Stolc V. Royce T. E. Rozowsky J. S. Urban A. E. Zhu X. (2004 ). Global identification of human transcribed sequences with genome tiling arrays. Science 306 2242–2246

    Not in our library10.1126/science.1103388

  26. 26.

    Birney E. Stamatoyannopoulos J. A. Dutta A. Guigo R. Gingeras T. R. Margulies E. H. (2007 ). Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project. Nature 447 799–816

    Not in our library10.1038/nature05874

  27. 27.
  28. 28.

    Bond A. M. Vangompel M. J. Sametsky E. A. Clark M. F. Savage J. C. Disterhoft J. F. (2009 ). Balanced gene regulation by an embryonic brain ncRNA is critical for adult hippocampal GABA circuitry. Nat. Neurosci. 12 1020–1027

    Not in our library10.1038/nn.2371

  29. 29.

    Bruce S. J. Gardiner B. B. Burke L. J. Gongora M. M. Grimmond S. M. Perkins A. C. (2007 ). Dynamic transcription programs during ES cell differentiation towards mesoderm in serum versus serum-freeBMP4 culture. BMC Genomics 8:365

    Not in our library10.1186/1471-2164-8-365

  30. 30.
  31. 31.

    Cabili M. N. Trapnell C. Goff L. Koziol M. Tazon-Vega B. Regev A. (2011 ). Integrative annotation of human large intergenic noncoding RNAs reveals global properties and specific subclasses. Genes Dev. 25 1915–1927

    Not in our library10.1101/gad.17446611

  32. 32.

    Cao X. Yeo G. Muotri A. R. Kuwabara T. Gage F. H. (2006 ). Noncoding RNAs in the mammalian central nervous system. Annu. Rev. Neurosci. 29 77–103

    Not in our library10.1146/annurev.neuro.29.051605.112839

  33. 33.

    Capel B. Swain A. Nicolis S. Hacker A. Walter M. Koopman P. (1993 ). Circular transcripts of the testis-determining gene Sry in adult mouse testis. Cell 73 1019–1030

    Not in our library10.1016/0092-8674(93)90279-y

  34. 34.

    Carninci P. (2007 ). Constructing the landscape of the mammalian transcriptome. J. Exp. Biol. 210 1497–1506

    Not in our library10.1242/jeb.000406

  35. 35.

    Carninci P. Kasukawa T. Katayama S. Gough J. Frith M. C. Maeda N. (2005 ). The transcriptional landscape of the mammalian genome. Science 309 1559–1563

    Not in our library10.1126/science.1112014

  36. 36.

    Carrieri C. Cimatti L. Biagioli M. Beugnet A. Zucchelli S. Fedele S. (2012 ). Long non-coding antisense RNA controls Uchl1 translation through an embedded SINEB2 repeat. Nature 491 454–457

    Not in our library10.1038/nature11508

  37. 37.

    Chao C. W. Chan D. C. Kuo A. Leder P. (1998 ). The mouse formin (Fmn) gene: abundant circular RNA transcripts and gene-targeted deletion analysis. Mol. Med. 4 614–628

    Not in our library

  38. 38.

    Chen L. L. Carmichael G. G. (2010 ). Decoding the function of nuclear long non-coding RNAs. Curr. Opin. Cell Biol. 22 357–364

    Not in our library10.1016/j.ceb.2010.03.003

  39. 39.
  40. 40.

    Chu C. Qu K. Zhong F. L. Artandi S. E. Chang H. Y. (2011 ). Genomic maps of long noncoding RNA occupancy reveal principles of RNA–chromatin interactions. Mol. Cell. 44 667–678

    Not in our library10.1016/j.molcel.2011.08.027

  41. 41.

    Clemson C. M. Hutchinson J. N. Sara S. A. Ensminger A. W. Fox A. H. Chess A. (2009 ). An architectural role for a nuclear noncoding RNA: NEAT1 RNA is essential for the structure of paraspeckles. Mol. Cell. 33 717–726

    Not in our library10.1016/j.molcel.2009.01.026

  42. 42.

    Cocquerelle C. Mascrez B. Hetuin D. Bailleul B. (1993 ). Mis-splicing yields circular RNA molecules. FASEB J. 7 155–160

    Not in our library10.1096/fasebj.7.1.7678559

  43. 43.
  44. 44.

    Core L. J. Waterfall J. J. Lis J. T. (2008 ). Nascent RNA sequencing reveals widespread pausing and divergent initiation at human promoters. Science 322 1845–1848

    Not in our library10.1126/science.1162228

  45. 45.

    Davidovich C. Zheng L. Goodrich K. J. Cech T. R. (2013 ). Promiscuous RNA binding by Polycomb repressive complex 2. Nat. Struct. Mol. Biol. 20 1250–1257

    Not in our library10.1038/nsmb.2679

  46. 46.

    Dermitzakis E. T. Reymond A. Antonarakis S. E. (2005 ). Conserved non-genic sequences–an unexpected feature of mammalian genomes. Nat. Rev. Genet. 6 151–157

    Not in our library10.1038/nrg1527

  47. 47.

    Derrien T. Johnson R. Bussotti G. Tanzer A. Djebali S. Tilgner H. (2012 ). The GENCODE v7 catalog of human long noncoding RNAs: analysis of their gene structure, evolution, and expression. Genome Res. 22 1775–1789

    Not in our library10.1101/gr.132159.111

  48. 48.
  49. 49.

    Dharap A. Nakka V. P. Vemuganti R. (2012 ). Effect of focal ischemia on long noncoding RNAs. Stroke 43 2800–2802

    Not in our library10.1161/strokeaha.112.669465

  50. 50.

    Dharap A. Pokrzywa C. Vemuganti R. (2013 ). Increased binding of stroke-induced long non-coding RNAs to the transcriptional corepressors Sin3A and coREST. ASN Neuro 5 283–289

    Not in our library10.1042/an20130029

  51. 51.

    Dinger M. E. Amaral P. P. Mercer T. R. Pang K. C. Bruce S. J. Gardiner B. B. (2008 ). Long noncoding RNAs in mouse embryonic stem cell pluripotency and differentiation. Genome Res. 18 1433–1445

    Not in our library10.1101/gr.078378.108

  52. 52.

    Dinger M. E. Gascoigne D. K. Mattick J. S. (2011 ). The evolution of RNAs with multiple functions. Biochimie 93 2013–2018

    Not in our library10.1016/j.biochi.2011.07.018

  53. 53.

    Dunham I. Kundaje A. Aldred S. F. Collins P. J. Davis C. A. Doyle F. (2012 ). An integrated encyclopedia of DNA elements in the human genome. Nature 489 57–74

    Not in our library10.1038/nature11247

  54. 54.

    Ebisuya M. Yamamoto T. Nakajima M. Nishida E. (2008 ). Ripples from neighbouring transcription. Nat. Cell Biol. 10 1106–1113

    Not in our library10.1038/ncb1771

  55. 55.

    Esposito G. De Filippis D. Steardo L. Scuderi C. Savani C. Cuomo V. (2006 ). CB1 receptor selective activation inhibits beta-amyloid-induced iNOS protein expression in C6 cells and subsequently blunts tau protein hyperphosphorylation in co-cultured neurons. Neurosci. Lett. 404 342–346

    Not in our library10.1016/j.neulet.2006.06.012

  56. 56.

    Faghihi M. A. Modarresi F. Khalil A. M. Wood D. E. Sahagan B. G. Morgan T. E. (2008 ). Expression of a noncoding RNA is elevated in Alzheimer’s disease and drives rapid feed-forward regulation of beta-secretase. Nat. Med. 14 723–730

    Not in our library10.1038/nm1784

  57. 57.

    Faghihi M. A. Wahlestedt C. (2009 ). Regulatory roles of natural antisense transcripts. Nat. Rev. Mol. Cell Biol. 10 637–643

    Not in our library10.1038/nrm2738

  58. 58.

    Feng J. Bi C. Clark B. S. Mady R. Shah P. Kohtz J. D. (2006 ). The Evf-2 noncoding RNA is transcribed from the Dlx-5/6 ultraconserved region and functions as a Dlx-2 transcriptional coactivator. Genes Dev. 20 1470–1484

    Not in our library10.1101/gad.1416106

  59. 59.

    Frith M. C. Pheasant M. Mattick J. S. (2005 ). The amazing complexity of the human transcriptome. Eur. J. Hum. Genet. 13 894–897

    Not in our library10.1038/sj.ejhg.5201459

  60. 60.

    Galante P. A. Vidal D. O. De Souza J. E. Camargo A. A De Souza S. J. (2007 ). Sense-antisense pairs in mammals: functional and evolutionary considerations. Genome Biol. 8 R40

    Not in our library10.1186/gb-2007-8-3-r40

  61. 61.

    Gao Z. Ure K. Ding P. Nashaat M. Yuan L. Ma J. (2011 ). The master negative regulator REST/NRSF controls adult neurogenesis by restraining the neurogenic program in quiescent stem cells. J. Neurosci. 31 9772–9786

    Not in our library10.1523/jneurosci.1604-11.2011

  62. 62.

    Gong C. Maquat L. E. (2011 ). lncRNAs transactivate STAU1-mediated mRNA decay by duplexing with 3’ UTRs via Alu elements. Nature 470 284–288

    Not in our library10.1038/nature09701

  63. 63.

    Guil S. Esteller M. (2012 ). Cis-acting noncoding RNAs: friends and foes. Nat. Struct. Mol. Biol. 19 1068–1075

    Not in our library10.1038/nsmb.2428

  64. 64.

    Guil S. Soler M. Portela A. Carrere J. Fonalleras E. Gomez A. (2012 ). Intronic RNAs mediate EZH2 regulation of epigenetic targets. Nat. Struct. Mol. Biol. 19 664–670

    Not in our library10.1038/nsmb.2315

  65. 65.

    Guttman M. Amit I. Garber M. French C. Lin M. F. Feldser D. (2009 ). Chromatin signature reveals over a thousand highly conserved large non-coding RNAs in mammals. Nature 458 223–227

    Not in our library10.1038/nature07672

  66. 66.

    Guttman M. Donaghey J. Carey B. W. Garber M. Grenier J. K. Munson G. (2011 ). lincRNAs act in the circuitry controlling pluripotency and differentiation. Nature 477 295–300

    Not in our library10.1038/nature10398

  67. 67.

    Guttman M. Garber M. Levin J. Z. Donaghey J. Robinson J. Adiconis X. (2010 ). Ab initio reconstruction of cell type-specific transcriptomes in mouse reveals the conserved multi-exonic structure of lincRNAs. Nat. Biotechnol. 28 503–510

    Not in our library10.1038/nbt.1633

  68. 68.

    Guttman M. Russell P. Ingolia N. T. Weissman J. S. Lander E. S. (2013 ). Ribosome profiling provides evidence that large noncoding RNAs do not encode proteins. Cell 154 240–251

    Not in our library10.1016/j.cell.2013.06.009

  69. 69.

    Hacisuleyman E. Goff L. A. Trapnell C. Williams A. Henao-Mejia J. Sun L. (2014 ). Topological organization of multichromosomal regions by the long intergenic noncoding RNA Firre. Nat. Struct. Mol. Biol. 21 198–206

    Not in our library10.1038/nsmb.2764

  70. 70.

    Hansen T. B. Wiklund E. D. Bramsen J. B. Villadsen S. B. Statham A. L. Clark S. J. (2011 ). miRNA-dependent gene silencing involving Ago2-mediated cleavage of a circular antisense RNA. EMBO J. 30 4414–4422

    Not in our library10.1038/emboj.2011.359

  71. 71.

    Haroutunian V. Katsel P. Dracheva S. Davis K. L. (2006 ). The human homolog of the QKI gene affected in the severe dysmyelination “quaking” mouse phenotype: downregulated in multiple brain regions in schizophrenia. Am. J. Psychiatry 163 1834–1837

    Not in our library10.1176/appi.ajp.163.10.1834

  72. 72.

    Harrow J. Frankish A. Gonzalez J. M. Tapanari E. Diekhans M. Kokocinski F. (2012 ). GENCODE: the reference human genome annotation for The ENCODE Project. Genome Res. 22 1760–1774

    Not in our library10.1101/gr.135350.111

  73. 73.

    He S. Su H. Liu C. Skogerbo G. He H. He D. (2008 ). MicroRNA-encoding long non-coding RNAs. BMC Genomics 9:236

    Not in our library10.1186/1471-2164-9-236

  74. 74.

    Heintzman N. D. Hon G. C. Hawkins R. D. Kheradpour P. Stark A. Harp L. F. (2009 ). Histone modifications at human enhancers reflect global cell-type-specific gene expression. Nature 459 108–112

    Not in our library10.1038/nature07829

  75. 75.

    Heintzman N. D. Stuart R. K. Hon G. Fu Y. Ching C. W. Hawkins R. D. (2007 ). Distinct and predictive chromatin signatures of transcriptional promoters and enhancers in the human genome. Nat. Genet. 39 311–318

    Not in our library10.1038/ng1966

  76. 76.

    Ishii N. Ozaki K. Sato H. Mizuno H. Saito S. Takahashi A. (2006 ). Identification of a novel non-coding RNA, MIAT, that confers risk of myocardial infarction. J. Hum. Genet. 51 1087–1099

    Not in our library10.1007/s10038-006-0070-79

  77. 77.

    Ivanova N. B. Dimos J. T. Schaniel C. Hackney J. A. Moore K. A. Lemischka I. R. (2002 ). A stem cell molecular signature. Science 298 601–604

    Not in our library10.1126/science.1073823

  78. 78.

    Kampa D. Cheng J. Kapranov P. Yamanaka M. Brubaker S. Cawley S. (2004 ). Novel RNAs identified from an in-depth analysis of the transcriptome of human chromosomes 21 and 22. Genome Res. 14 331–342

    Not in our library10.1101/gr.2094104

  79. 79.

    Kanduri C. (2011 ). Kcnq1ot1: a chromatin regulatory RNA. Semin. Cell Dev. Biol. 22 343–350

    Not in our library10.1016/j.semcdb.2011.02.020

  80. 80.

    Kang K. N. Lee Y. S. (2013 ). RNA aptamers: a review of recent trends and applications. Adv. Biochem. Eng. Biotechnol. 131 153–169

    Not in our library10.1007/10_2012_136

  81. 81.

    Kanhere A. Viiri K. Araujo C. C. Rasaiyaah J. Bouwman R. D. Whyte W. A. (2010 ). Short RNAs are transcribed from repressed polycomb target genes and interact with polycomb repressive complex-2. Mol. Cell. 38 675–688

    Not in our library10.1016/j.molcel.2010.03.019

  82. 82.
  83. 83.

    Kapranov P. Willingham A. T. Gingeras T. R. (2007 ). Genome-wide transcription and the implications for genomic organization. Nat. Rev. Genet. 8 413–423

    Not in our library10.1038/nrg2083

  84. 84.

    Katayama S. Tomaru Y. Kasukawa T. Waki K. Nakanishi M. Nakamura M. (2005 ). Antisense transcription in the mammalian transcriptome. Science 309 1564–1566

    Not in our library10.1126/science.1112009

  85. 85.

    Keller C. Kulasegaran-Shylini R. Shimada Y. Hotz H. R. Buhler M. (2013 ). Noncoding RNAs prevent spreading of a repressive histone mark. Nat. Struct. Mol. Biol. 20 994–1000

    Not in our library10.1038/nsmb.2619

  86. 86.
  87. 87.

    Khalil A. M. Guttman M. Huarte M. Garber M. Raj A. Rivea Morales D. (2009 ). Many human large intergenic noncoding RNAs associate with chromatin-modifying complexes and affect gene expression. Proc. Natl. Acad. Sci. U.S.A. 106 11667–11672

    Not in our library10.1073/pnas.0904715106

  88. 88.

    Kim T. K. Hemberg M. Gray J. M. Costa A. M. Bear D. M. Wu J. (2010 ). Widespread transcription at neuronal activity-regulated enhancers. Nature 465 182–187

    Not in our library10.1038/nature09033

  89. 89.

    Kondo T. Plaza S. Zanet J. Benrabah E. Valenti P. Hashimoto Y. (2010 ). Small peptides switch the transcriptional activity of Shavenbaby during Drosophila embryogenesis. Science 329 336–339

    Not in our library10.1126/science.1188158

  90. 90.

    Kotake Y. Nakagawa T. Kitagawa K. Suzuki S. Liu N. Kitagawa M. (2011 ). Long non-coding RNA ANRIL is required for the PRC2 recruitment to and silencing of p15(INK4B) tumor suppressor gene. Oncogene 30 1956–1962

    Not in our library10.1038/onc.2010.568

  91. 91.

    Kraus P. Sivakamasundari V. Lim S. L. Xing X. Lipovich L. Lufkin T. (2013 ). Making sense of Dlx1 antisense RNA. Dev. Biol. 376 224–235

    Not in our library10.1016/j.ydbio.2013.01.035

  92. 92.

    Kurokawa R. (2011 ). Promoter-associated long noncoding RNAs repress transcription through a RNA binding protein TLS. Adv. Exp. Med. Biol. 722 196–208

    Not in our library10.1007/978-1-4614-0332-6_12

  93. 93.

    Lacor P. N. Buniel M. C. Furlow P. W. Clemente A. S. Velasco P. T. Wood M. (2007 ). Abeta oligomer-induced aberrations in synapse composition, shape, and density provide a molecular basis for loss of connectivity in Alzheimer’s disease. J. Neurosci. 27 796–807

    Not in our library10.1523/jneurosci.3501-06.2007

  94. 94.

    Law A. J. Kleinman J. E. Weinberger D. R. Weickert C. S. (2007 ). Disease-associated intronic variants in the ErbB4 gene are related to altered ErbB4 splice-variant expression in the brain in schizophrenia. Hum. Mol. Genet. 16 129–141

    Not in our library10.1093/hmg/ddl449

  95. 95.

    Le M. T. Xie H. Zhou B. Chia P. H. Rizk P. Um M. (2009 ). MicroRNA-125b promotes neuronal differentiation in human cells by repressing multiple targets. Mol. Cell. Biol. 29 5290–5305

    Not in our library10.1128/mcb.01694-1698

  96. 96.

    Lee J. T. (2012 ). Epigenetic regulation by long noncoding RNAs. Science 338 1435–1439

    Not in our library10.1126/science.1231776

  97. 97.

    Li L. Liu B. Wapinski O. L. Tsai M. C. Qu K. Zhang J. (2013a ). Targeted disruption of Hotair leads to homeotic transformation and gene derepression. Cell Rep. 5 3–12

    Not in our library10.1016/j.celrep.2013.09.003

  98. 98.

    Li W. Notani D. Ma Q. Tanasa B. Nunez E. Chen A. Y. (2013b ). Functional roles of enhancer RNAs for oestrogen-dependent transcriptional activation. Nature 498 516–520

    Not in our library10.1038/nature12210

  99. 99.

    Licastro D. Gennarino V. A. Petrera F. Sanges R. Banfi S. Stupka E. (2010 ). Promiscuity of enhancer, coding and non-coding transcription functions in ultraconserved elements. BMC Genomics 11:151

    Not in our library10.1186/1471-2164-11-151

  100. 100.

    Lin N. Chang K. Y. Li Z. Gates K. Rana Z. A. Dang J. (2014 ). An evolutionarily conserved long noncoding RNA TUNA controls pluripotency and neural lineage commitment. Mol. Cell 53 1005–1019

    Not in our library10.1016/j.molcel.2014.01.021

  101. 101.

    Louro R. El-Jundi T. Nakaya H. I. Reis E. M Verjovski-Almeida S. (2008 ). Conserved tissue expression signatures of intronic noncoding RNAs transcribed from human and mouse loci. Genomics 92 18–25

    Not in our library10.1016/j.ygeno.2008.03.013

  102. 102.
  103. 103.
  104. 104.
  105. 105.

    Magistri M. Faghihi M. A. St Laurent G. III Wahlestedt C. (2012 ). Regulation of chromatin structure by long noncoding RNAs: focus on natural antisense transcripts. Trends Genet. 28 389–396

    Not in our library10.1016/j.tig.2012.03.013

  106. 106.
  107. 107.

    Matsuyama S. Teraoka R. Mori H. Tomiyama T. (2007 ). Inverse correlation between amyloid precursor protein and synaptic plasticity in transgenic mice. Neuroreport 18 1083–1087

    Not in our library10.1097/wnr.0b013e3281e72b18

  108. 108.

    Mazumder B. Seshadri V. Fox P. L. (2003 ). Translational control by the 3’-UTR: the ends specify the means. Trends Biochem. Sci. 28 91–98

    Not in our library10.1016/s0968-0004(03)00002-1

  109. 109.

    McCullumsmith R. E. Gupta D. Beneyto M. Kreger E. Haroutunian V. Davis K. L. (2007 ). Expression of transcripts for myelination-related genes in the anterior cingulate cortex in schizophrenia. Schizophr. Res. 90 15–27

    Not in our library10.1016/j.schres.2006.11.017

  110. 110.

    Mehler M. F. Mattick J. S. (2007 ). Noncoding RNAs and RNA editing in brain development, functional diversification, and neurological disease. Physiol. Rev. 87 799–823

    Not in our library10.1152/physrev.00036.2006

  111. 111.

    Melo C. A. Drost J. Wijchers P. J. Van De Werken H. De Wit E. Oude Vrielink J. A. (2013 ). eRNAs are required for p53-dependent enhancer activity and gene transcription. Mol. Cell. 49 524–535

    Not in our library10.1016/j.molcel.2012.11.021

  112. 112.

    Memczak S. Jens M. Elefsinioti A. Torti F. Krueger J. Rybak A. (2013 ). Circular RNAs are a large class of animal RNAs with regulatory potency. Nature 495 333–338

    Not in our library10.1038/nature11928

  113. 113.

    Meola N. Pizzo M. Alfano G. Surace E. M. Banfi S. (2012 ). The long noncoding RNA Vax2os1 controls the cell cycle progression of photoreceptor progenitors in the mouse retina. RNA 18 111–123

    Not in our library10.1261/rna.029454.111

  114. 114.

    Mercer T. R. Dinger M. E. Sunkin S. M. Mehler M. F. Mattick J. S. (2008 ). Specific expression of long noncoding RNAs in the mouse brain. Proc. Natl. Acad. Sci. U.S.A. 105 716–721

    Not in our library10.1073/pnas.0706729105

  115. 115.
  116. 116.

    Modarresi F. Faghihi M. A. Lopez-Toledano M. A. Fatemi R. P. Magistri M. Brothers S. P. (2012 ). Inhibition of natural antisense transcripts in vivo results in gene-specific transcriptional upregulation. Nat. Biotechnol. 30 453–459

    Not in our library10.1038/nbt.2158

  117. 117.
  118. 118.

    Mohammad F. Mondal T. Kanduri C. (2009 ). Epigenetics of imprinted long noncoding RNAs. Epigenetics 4 277–286

    Not in our library10.4161/epi.4.5.9242

  119. 119.

    Morikawa T. Manabe T. (2010 ). Aberrant regulation of alternative pre-mRNA splicing in schizophrenia. Neurochem. Int. 57 691–704

    Not in our library10.1016/j.neuint.2010.08.012

  120. 120.

    Nagano T. Mitchell J. A. Sanz L. A. Pauler F. M. Ferguson-Smith A. C. Feil R. (2008 ). The air noncoding RNA epigenetically silences transcription by targeting G9a to chromatin. Science 322 1717–1720

    Not in our library10.1126/science.1163802

  121. 121.

    Nakata K. Lipska B. K. Hyde T. M. Ye T. Newburn E. N. Morita Y. (2009 ). DISC1 splice variants are upregulated in schizophrenia and associated with risk polymorphisms. Proc. Natl. Acad. Sci. U.S.A. 106 15873–15878

    Not in our library10.1073/pnas.0903413106

  122. 122.
  123. 123.

    Ng S. Y. Bogu G. K. Soh B. S. Stanton L. W. (2013 ). The long noncoding RNA RMST interacts with SOX2 to regulate neurogenesis. Mol. Cell. 51 349–359

    Not in our library10.1016/j.molcel.2013.07.017

  124. 124.

    Ng S. Y. Johnson R. Stanton L. W. (2012 ). Human long non-coding RNAs promote pluripotency and neuronal differentiation by association with chromatin modifiers and transcription factors. EMBO J. 31 522–533

    Not in our library10.1038/emboj.2011.459

  125. 125.

    Nigro J. M. Cho K. R. Fearon E. R. Kern S. E. Ruppert J. M. Oliner J. D. (1991 ). Scrambled exons. Cell 64 607–613

    Not in our library10.1016/0092-8674(91)90244-s

  126. 126.

    Ohyagi Y. Asahara H. Chui D. H. Tsuruta Y. Sakae N. Miyoshi K. (2005 ). Intracellular Abeta42 activates p53 promoter: a pathway to neurodegeneration in Alzheimer’s disease. FASEB J. 19 255–257

    Not in our library10.1096/fj.04-2637fje

  127. 127.

    Okazaki Y. Furuno M. Kasukawa T. Adachi J. Bono H. Kondo S. (2002 ). Analysis of the mouse transcriptome based on functional annotation of 60,770 full-length cDNAs. Nature 420 563–573

    Not in our library10.1038/nature01266

  128. 128.

    Onoguchi M. Hirabayashi Y. Koseki H. Gotoh Y. (2012 ). A noncoding RNA regulates the neurogenin1 gene locus during mouse neocortical development. Proc. Natl. Acad. Sci. U.S.A. 109 16939–16944

    Not in our library10.1073/pnas.1202956109

  129. 129.

    Orom U. A. Derrien T. Beringer M. Gumireddy K. Gardini A. Bussotti G. (2010 ). Long noncoding RNAs with enhancer-like function in human cells. Cell 143 46–58

    Not in our library10.1016/j.cell.2010.09.001

  130. 130.

    Pandey R. R. Mondal T. Mohammad F. Enroth S. Redrup L. Komorowski J. (2008 ). Kcnq1ot1 antisense noncoding RNA mediates lineage-specific transcriptional silencing through chromatin-level regulation. Mol. Cell. 32 232–246

    Not in our library10.1016/j.molcel.2008.08.022

  131. 131.

    Panganiban G. Rubenstein J. L. (2002 ). Developmental functions of the Distal-less/Dlx homeobox genes. Development 129 4371–4386

    Not in our library10.1242/dev.129.19.4371

  132. 132.

    Pasmant E. Sabbagh A. Masliah-Planchon J. Ortonne N. Laurendeau I. Melin L. (2011a ). Role of noncoding RNA ANRIL in genesis of plexiform neurofibromas in neurofibromatosis type 1. J. Natl. Cancer Inst. 103 1713–1722

    Not in our library10.1093/jnci/djr416

  133. 133.

    Pasmant E. Sabbagh A. Vidaud M. Bieche I. (2011b ). ANRIL, a long, noncoding RNA, is an unexpected major hotspot in GWAS. FASEB J. 25 444–448

    Not in our library10.1096/fj.10-172452

  134. 134.

    Pauli A. Valen E. Lin M. F. Garber M. Vastenhouw N. L. Levin J. Z. (2012 ). Systematic identification of long noncoding RNAs expressed during zebrafish embryogenesis. Genome Res. 22 577–591

    Not in our library10.1101/gr.133009.111

  135. 135.

    Pennacchio L.A. Ahituv N. Moses A. M. Prabhakar S. Nobrega M. A. Shoukry M. (2006 ). In vivo enhancer analysis of human conserved non-coding sequences. Nature 444 499–502

    Not in our library10.1038/nature05295

  136. 136.

    Petazzi P. Sandoval J. Szczesna K. Jorge O. C. Roa L. Sayols S. (2013 ). Dysregulation of the long non-coding RNA transcriptome in a Rett syndrome mouse model. RNA Biol. 10 1197–1203

    Not in our library10.4161/rna.24286

  137. 137.

    Pollard K. S. Salama S. R. Lambert N. Lambot M. A. Coppens S. Pedersen J. S. (2006 ). An RNA gene expressed during cortical development evolved rapidly in humans. Nature 443 167–172

    Not in our library10.1038/nature05113

  138. 138.

    Ponjavic J. Ponting C. P. Lunter G. (2007 ). Functionality or transcriptional noise? Evidence for selection within long noncoding RNAs. Genome Res. 17 556–565

    Not in our library10.1101/gr.6036807

  139. 139.

    Qu Z. Adelson D. L. (2012a ). Bovine ncRNAs are abundant, primarily intergenic, conserved and associated with regulatory genes. PLoS ONE 7:e42638

    Not in our library10.1371/journal.pone.0042638

  140. 140.

    Qu Z. Adelson D. L. (2012b ). Identification and comparative analysis of ncRNAs in human, mouse and zebrafish indicate a conserved role in regulation of genes expressed in brain. PLoS ONE 7:e52275

    Not in our library10.1371/journal.pone.0052275

  141. 141.

    Qureshi I. A. Mattick J. S. Mehler M. F. (2010 ). Long non-coding RNAs in nervous system function and disease. Brain Res. 1338 20–35

    Not in our library10.1016/j.brainres.2010.03.110

  142. 142.

    Ramalho-Santos M. Yoon S. Matsuzaki Y. Mulligan R. C. Melton D. A. (2002 ). “Stemness”: transcriptional profiling of embryonic and adult stem cells. Science 298 597–600

    Not in our library10.1126/science.1072530

  143. 143.

    Ramos A. D. Diaz A. Nellore A. Delgado R. N. Park K. Y. Gonzales-Roybal G. (2013 ). Integration of genome-wide approaches identifies lncRNAs of adult neural stem cells and their progeny in vivo. Cell Stem Cell 12 616–628

    Not in our library10.1016/j.stem.2013.03.003

  144. 144.

    Rapicavoli N. A. Blackshaw S. (2009 ). New meaning in the message: noncoding RNAs and their role in retinal development. Dev. Dyn. 238 2103–2114

    Not in our library10.1002/dvdy.21844

  145. 145.
  146. 146.
  147. 147.

    Rinn J. L. Euskirchen G. Bertone P. Martone R. Luscombe N. M. Hartman S. (2003 ). The transcriptional activity of human chromosome 22. Genes Dev. 17 529–540

    Not in our library10.1101/gad.1055203

  148. 148.

    Rinn J. L. Kertesz M. Wang J. K. Squazzo S. L. Xu X. Brugmann S. A. (2007 ). Functional demarcation of active and silent chromatin domains in human HOX loci by noncoding RNAs. Cell 129 1311–1323

    Not in our library10.1016/j.cell.2007.05.022

  149. 149.

    Rybak A. Fuchs H. Smirnova L. Brandt C. Pohl E. E. Nitsch R. (2008 ). A feedback loop comprising lin-28 and let-7 controls pre-let-7 maturation during neural stem-cell commitment. Nat. Cell Biol. 10 987–993

    Not in our library10.1038/ncb1759

  150. 150.
  151. 151.
  152. 152.

    Sanger H. L. Klotz G. Riesner D. Gross H. J. Kleinschmidt A. K. (1976 ). Viroids are single-stranded covalently closed circular RNA molecules existing as highly base-paired rod-like structures. Proc. Natl. Acad. Sci. U.S.A. 73 3852–3856

    Not in our library10.1073/pnas.73.11.3852

  153. 153.
  154. 154.

    Seila A. C. Calabrese J. M. Levine S. S. Yeo G. W. Rahl P. B. Flynn R. A. (2008 ). Divergent transcription from active promoters. Science 322 1849–1851

    Not in our library10.1126/science.1162253

  155. 155.

    Sheik Mohamed J. Gaughwin P. M. Lim B. Robson P. Lipovich L. (2010 ). Conserved long noncoding RNAs transcriptionally regulated by Oct4 and Nanog modulate pluripotency in mouse embryonic stem cells. RNA 16 324–337

    Not in our library10.1261/rna.1441510

  156. 156.

    Simon M. D. Wang C. I. Kharchenko P. V. West J. A. Chapman B. A. Alekseyenko A. A. (2011 ). The genomic binding sites of a noncoding RNA. Proc. Natl. Acad. Sci. U.S.A. 108 20497–20502

    Not in our library10.1073/pnas.1113536108

  157. 157.

    Slavoff S. A. Mitchell A. J. Schwaid A. G. Cabili M. N. Ma J. Levin J. Z. (2013 ). Peptidomic discovery of short open reading frame-encoded peptides in human cells. Nat. Chem. Biol. 9 59–64

    Not in our library10.1038/nchembio.1120

  158. 158.
  159. 159.

    Snyder E. M. Nong Y. Almeida C. G. Paul S. Moran T. Choi E. Y. (2005 ). Regulation of NMDA receptor trafficking by amyloid-beta. Nat. Neurosci. 8 1051–1058

    Not in our library10.1038/nn1503

  160. 160.

    Sone M. Hayashi T. Tarui H. Agata K. Takeichi M. Nakagawa S. (2007 ). The mRNA-like noncoding RNA Gomafu constitutes a novel nuclear domain in a subset of neurons. J. Cell Sci. 120 2498–2506

    Not in our library10.1242/jcs.009357

  161. 161.

    Spector D. L. Lamond A. I. (2011 ). Nuclear speckles. Cold Spring Harb. Perspect. Biol. 3.

    Not in our library10.1101/cshperspect.a000646

  162. 162.

    St Laurent G. Shtokalo D. Tackett M. R. Yang Z. Eremina T. Wahlestedt C. (2012 ). Intronic RNAs constitute the major fraction of the non-coding RNA in mammalian cells. BMC Genomics 13:504

    Not in our library10.1186/1471-2164-13-504

  163. 163.

    Straten G. Saur R. Laske C. Gasser T. Annas P. Basun H. (2011 ). Influence of lithium treatment on GDNF serum and CSF concentrations in patients with early Alzheimer’s disease. Curr. Alzheimer Res. 8 853–859

    Not in our library10.2174/156720511798192754

  164. 164.

    Sun M. Hurst L. D. Carmichael G. G. Chen J. (2005 ). Evidence for a preferential targeting of 3’-UTRs by cis-encoded natural antisense transcripts. Nucleic Acids Res. 33 5533–5543

    Not in our library10.1093/nar/gki852

  165. 165.

    Taft R. J. Pheasant M. Mattick J. S. (2007 ). The relationship between non-protein-coding DNA and eukaryotic complexity. BioEssays 29 288–299

    Not in our library10.1002/bies.20544

  166. 166.

    Takahashi S. Ohtsuki T. Yu S. Y. Tanabe E. Yara K. Kamioka M. (2003 ). Significant linkage to chromosome 22q for exploratory eye movement dysfunction in schizophrenia. Am. J. Med. Genet. B Neuropsychiatr. Genet. 123B 27–32

    Not in our library10.1002/ajmg.b.10046

  167. 167.

    Talkowski M. E. Maussion G. Crapper L. Rosenfeld J. A. Blumenthal I. Hanscom C. (2012 ). Disruption of a large intergenic noncoding RNA in subjects with neurodevelopmental disabilities. Am. J. Hum. Genet. 91 1128–1134

    Not in our library10.1016/j.ajhg.2012.10.016

  168. 168.

    Taylor M. S. Kai C. Kawai J. Carninci P. Hayashizaki Y. Semple C. A. (2006 ). Heterotachy in mammalian promoter evolution. PLoS Genet. 2:e30

    Not in our library10.1371/journal.pgen.0020030

  169. 169.

    Terranova R. Yokobayashi S. Stadler M. B. Otte A. P. Van Lohuizen M. Orkin S. H. (2008 ). Polycomb group proteins Ezh2 and Rnf2 direct genomic contraction and imprinted repression in early mouse embryos. Dev. Cell 15 668–679

    Not in our library10.1016/j.devcel.2008.08.015

  170. 170.

    Tochitani S. Hayashizaki Y. (2008 ). Nkx2.2 antisense RNA overexpression enhanced oligodendrocytic differentiation. Biochem. Biophys. Res. Commun. 372 691–696

    Not in our library10.1016/j.bbrc.2008.05.127

  171. 171.

    Tripathi V. Ellis J. D. Shen Z. Song D. Y. Pan Q. Watt A. T. (2010 ). The nuclear-retained noncoding RNA MALAT1 regulates alternative splicing by modulating SR splicing factor phosphorylation. Mol. Cell. 39 925–938

    Not in our library10.1016/j.molcel.2010.08.011

  172. 172.

    Tsai M. C. Manor O. Wan Y. Mosammaparast N. Wang J. K. Lan F. (2010 ). Long noncoding RNA as modular scaffold of histone modification complexes. Science 329 689–693

    Not in our library10.1126/science.1192002

  173. 173.
  174. 174.

    Uesaka M. Nishimura O. Go Y. Nakashima K. Agata K. Imamura T. (2014 ). Bidirectional promoters are the major source of gene activation-associated non-coding RNAs in mammals. BMC Genomics 15:35

    Not in our library10.1186/1471-2164-15-35

  175. 175.

    Ulitsky I. Shkumatava A. Jan C. H. Sive H. Bartel D. P. (2011 ). Conserved function of lincRNAs in vertebrate embryonic development despite rapid sequence evolution. Cell 147 1537–1550

    Not in our library10.1016/j.cell.2011.11.055

  176. 176.
  177. 177.
  178. 178.

    Vanhee-Brossollet C. Vaquero C. (1998 ). Do natural antisense transcripts make sense in eukaryotes? Gene 211 1–9

    Not in our library10.1016/s0378-1119(98)00093-6

  179. 179.

    Verona R. I. Mann M. R. Bartolomei M. S. (2003 ). Genomic imprinting: intricacies of epigenetic regulation in clusters. Annu. Rev. Cell Dev. Biol. 19 237–259

    Not in our library10.1146/annurev.cellbio.19.111401.092717

  180. 180.

    Visel A. Blow M. J. Li Z. Zhang T. Akiyama J. A. Holt A. (2009 ). ChIP-seq accurately predicts tissue-specific activity of enhancers. Nature 457 854–858

    Not in our library10.1038/nature07730

  181. 181.

    Wagner E. G. Simons R. W. (1994 ). Antisense RNA control in bacteria, phages, and plasmids. Annu. Rev. Microbiol. 48 713–742

    Not in our library10.1146/annurev.mi.48.100194.003433

  182. 182.

    Wan L. B. Bartolomei M. S. (2008 ). Regulation of imprinting in clusters: noncoding RNAs versus insulators. Adv. Genet. 61 207–223

    Not in our library10.1016/s0065-2660(07)00007-7

  183. 183.

    Wang D. Garcia-Bassets I. Benner C. Li W. Su X. Zhou Y. (2011 ). Reprogramming transcription by distinct classes of enhancers functionally defined by eRNA. Nature 474 390–394

    Not in our library10.1038/nature10006

  184. 184.

    Wang X. Arai S. Song X. Reichart D. Du K. Pascual G. (2008 ). Induced ncRNAs allosterically modify RNA-binding proteins in cis to inhibit transcription. Nature 454 126–130

    Not in our library10.1038/nature06992

  185. 185.

    Weinreb O. Amit T. Bar-Am O. Youdim M. B. (2007 ). Induction of neurotrophic factors GDNF and BDNF associated with the mechanism of neurorescue action of rasagiline and ladostigil: new insights and implications for therapy. Ann. N. Y. Acad. Sci. 1122 155–168

    Not in our library10.1196/annals.1403.011

  186. 186.

    Werner A. Cockell S. Falconer J. Carlile M. Alnumeir S. Robinson J. (2014 ). Contribution of natural antisense transcription to an endogenous siRNA signature in human cells. BMC Genomics 15:19

    Not in our library10.1186/1471-2164-15-19

  187. 187.

    Wilson D.S. Szostak J.W. (1999 ). In vitro selection of functional nucleic acids. Ann. Rev. Biochem. 68 611–647

    Not in our library10.1146/annurev.biochem.68.1.611

  188. 188.
  189. 189.

    Xiang J. F. Yin Q. F. Chen T. Zhang Y. Zhang X. O. Wu Z. (2014 ). Human colorectal cancer-specific CCAT1-L lncRNA regulates long-range chromatin interactions at the MYC locus. Cell Res.

    Not in our library10.1038/cr.2014.35

  190. 190.

    Xie Y. Hayden M. R. Xu B. (2010 ). BDNF overexpression in the forebrain rescues Huntington’s disease phenotypes in YAC128 mice. J. Neurosci. 30 14708–14718

    Not in our library10.1523/jneurosci.1637-10.2010

  191. 191.

    Yap K. L. Li S. Munoz-Cabello A. M. Raguz S. Zeng L. Mujtaba S. (2010 ). Molecular interplay of the noncoding RNA ANRIL and methylated histone H3 lysine 27 by polycomb CBX7 in transcriptional silencing of INK4a. Mol. Cell. 38 662–674

    Not in our library10.1016/j.molcel.2010.03.021

  192. 192.

    Yoon J. H. Abdelmohsen K. Kim J. Yang X. Martindale J. L. Tominaga-Yamanaka K. (2013 ). Scaffold function of long non-coding RNA HOTAIR in protein ubiquitination. Nat. Commun. 4 2939

    Not in our library10.1038/ncomms3939

  193. 193.

    Young T. L. Matsuda T. Cepko C. L. (2005 ). The noncoding RNA taurine upregulated gene 1 is required for differentiation of the murine retina. Curr. Biol. 15 501–512

    Not in our library10.1016/j.cub.2005.02.027

  194. 194.

    Yung S. Y. Gokhan S. Jurcsak J. Molero A. E. Abrajano J. J. Mehler M. F. (2002 ). Differential modulation of BMP signaling promotes the elaboration of cerebral cortical GABAergic neurons or oligodendrocytes from a common sonic hedgehog-responsive ventral forebrain progenitor species. Proc. Natl. Acad. Sci. U.S.A. 99 16273–16278

    Not in our library10.1073/pnas.232586699

  195. 195.

    Zhang B. Arun G. Mao Y. S. Lazar Z. Hung G. Bhattacharjee G. (2012 ). The lncRNA Malat1 is dispensable for mouse development but its transcription plays a cis-regulatory role in the adult. Cell Rep. 2 111–123

    Not in our library10.1016/j.celrep.2012.06.003

  196. 196.

    Zhao J. Ohsumi T. K. Kung J. T. Ogawa Y. Grau D. J. Sarma K. (2010 ). Genome-wide identification of polycomb-associated RNAs by RIP-seq. Mol. Cell. 40 939–953

    Not in our library10.1016/j.molcel.2010.12.011

  197. 197.

    Zhao J. Sun B. K. Erwin J. A. Song J. J. Lee J. T. (2008 ). Polycomb proteins targeted by a short repeat RNA to the mouse X chromosome. Science 322 750–756

    Not in our library10.1126/science.1163045

  198. 198.

    Zhao X. Tang Z. Zhang H. Atianjoh F. E. Zhao J. Y. Liang L. (2013 ). A long noncoding RNA contributes to neuropathic pain by silencing Kcna2 in primary afferent neurons. Nat. Neurosci. 16 1024–1031

    Not in our library10.1038/nn.3438

  199. 199.

    Zhu C. C. Dyer M. A. Uchikawa M. Kondoh H. Lagutin O. V. Oliver G. (2002 ). Six3-mediated auto repression and eye development requires its interaction with members of the Groucho-related family of co-repressors. Development 129 2835–2849

    Not in our library10.1242/dev.129.12.2835

  200. 200.

    Zhu D. Lai Y. Shelat P. B. Hu C. Sun G. Y. Lee J. C. (2006 ). Phospholipases A2 mediate amyloid-beta peptide-induced mitochondrial dysfunction. J. Neurosci. 26 11111–11119

    Not in our library10.1523/jneurosci.3505-06.2006

  201. 201.
  202. 202.

    Zong X. Tripathi V. Prasanth K. V. (2011 ). RNA splicing control: yet another gene regulatory role for long nuclear noncoding RNAs. RNA Biol. 8 968–977

    Not in our library10.4161/rna.8.6.17606

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