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A mammalian methylation array for profiling methylation levels at conserved sequences
Adriana Arneson, Amin Haghani, Michael J. Thompson and 15 more
Nature Communications · 2022 · CC BY
doi:10.1038/s41467-022-28355-z
Abstract
Infinium methylation arrays are not available for the vast majority of non-human mammals. Moreover, even if species-specific arrays were available, probe differences between them would confound cross-species comparisons. To address these challenges, we developed the mammalian methylation array, a single custom array that measures up to 36k CpGs per species that are well conserved across many mammalian species. We designed a set of probes that can tolerate specific cross-species mutations. We annotate the array in over 200 species and report CpG island status and chromatin states in select species. Calibration experiments demonstrate the high fidelity in humans, rats, and mice. The mammalian methylation array has several strengths: it applies to all mammalian species even those that have not yet been sequenced, it provides deep coverage of conserved cytosines facilitating the development of epigenetic biomarkers, and it increases the probability that biological insights gained in one species will translate to others.
References 67
- 1.
Smith ZD, Meissner A. DNA methylation: roles in mammalian development. Nat. Rev. Genet. 2013;14:204-220.
Not in our library10.1038/nrg3354
- 2.
Bibikova, M. et al. Genome-wide DNA methylation profiling using Infinium((R)) assay. Epigenomics. 1, 10.2217/epi.09.14 (2009).
Not in our library10.2217/epi.09.14
- 3.
Bibikova M, et al. High density DNA methylation array with single CpG site resolution. Genomics. 2011;98:288-295.
Not in our library10.1016/j.ygeno.2011.07.007
- 4.
Meissner A, et al. Reduced representation bisulfite sequencing for comparative high-resolution DNA methylation analysis. Nucleic Acids Res. 2005;33:5868-5877.
Not in our library10.1093/nar/gki901
- 5.
Morselli M, et al. Targeted bisulfite sequencing for biomarker discovery. Methods. 2021;187:13-27.
Not in our library10.1016/j.ymeth.2020.07.006
- 6.
- 7.
- 8.
Guintivano J, Aryee MJ, Kaminsky ZA. A cell epigenotype specific model for the correction of brain cellular heterogeneity bias and its application to age, brain region and major depression. Epigenetics. 2013;8:290-302.
Not in our library10.4161/epi.23924
- 9.
- 10.
Horvath S, Levine AJ. HIV-1 infection accelerates age according to the epigenetic clock. J. Infect. Dis. 2015;212:1563-1573.
Not in our library10.1093/infdis/jiv277
- 11.
- 12.
- 13.
- 14.
Hannum G, et al. Genome-wide methylation profiles reveal quantitative views of human aging rates. Mol. Cell. 2013;49:359-367.
Not in our library10.1016/j.molcel.2012.10.016
- 15.
McLean, C. Y. et al. GREAT improves functional interpretation of cis-regulatory regions. Nat. Biotechnol.28, 10.1038/nbt.1630 (2010).
Not in our library10.1038/nbt.1630
- 16.
Jain A, Tuteja G. TissueEnrich: tissue-specific gene enrichment analysis. Bioinformatics. 2019;35:1966-1967.
Not in our library10.1093/bioinformatics/bty890
- 17.
Li X, Chen F, Chen Y. Gcluster: a simple-to-use tool for visualizing and comparing genome contexts for numerous genomes. Bioinformatics. 2020;36:3871-3873.
Not in our library10.1093/bioinformatics/btaa212
- 18.
Roadmap Epigenomics C, et al. Integrative analysis of 111 reference human epigenomes. Nature. 2015;518:317-330.
Not in our library10.1038/nature14248
- 19.
- 20.
Ernst J, Kellis M. ChromHMM: automating chromatin-state discovery and characterization. Nat. Methods. 2012;9:215-216.
Not in our library10.1038/nmeth.1906
- 21.
Ernst J, Kellis M. Large-scale imputation of epigenomic datasets for systematic annotation of diverse human tissues. Nat. Biotechnol. 2015;33:364-376.
Not in our library10.1038/nbt.3157
- 22.
- 23.
Siepel A, et al. Evolutionarily conserved elements in vertebrate, insect, worm, and yeast genomes. Genome Res. 2005;15:1034-1050.
Not in our library10.1101/gr.3715005
- 24.
Lindblad-Toh K, et al. A high-resolution map of human evolutionary constraint using 29 mammals. Nature. 2011;478:476-482.
Not in our library10.1038/nature10530
- 25.
Garber M, et al. Identifying novel constrained elements by exploiting biased substitution patterns. Bioinformatics. 2009;25:i54-i62.
Not in our library10.1093/bioinformatics/btp190
- 26.
- 27.
Arneson A, Ernst J. Systematic discovery of conservation states for single-nucleotide annotation of the human genome. Commun. Biol. 2019;2:248.
Not in our library10.1038/s42003-019-0488-1
- 28.
Zhou W, Triche TJ, Laird PW, Shen H. SeSAMe: reducing artifactual detection of DNA methylation by Infinium BeadChips in genomic deletions. Nucleic Acids Res. 2018;46:e123-e123.
Not in our library10.1093/nar/gky691
- 29.
Aryee, M. J. et al. Minfi: a flexible and comprehensive bioconductor package for the analysis of Infinium DNA methylation microarrays. Bioinformatics10.1093/bioinformatics/btu049 (2014).
Not in our library10.1093/bioinformatics/btu049
- 30.
Triche TJ, Weisenberger DJ, Van Den Berg D, Laird PW, Siegmund KD. Low-level processing of illumina infinium DNA methylation beadarrays. Nucleic Acids Res. 2013;41:e90.
Not in our library10.1093/nar/gkt090
- 31.
Needhamsen M, et al. Usability of human Infinium MethylationEPIC BeadChip for mouse DNA methylation studies. BMC Bioinformatics. 2017;18:486.
Not in our library10.1186/s12859-017-1870-y
- 32.
Horvath S, et al. DNA methylation aging and transcriptomic studies in horses. Nat. Commun. 2022;13:40.
Not in our library10.1038/s41467-021-27754-y
- 33.
Kordowitzki P, et al. Epigenetic clock and methylation study of oocytes from a bovine model of reproductive aging. Aging Cell. 2021;20:e13349.
Not in our library10.1111/acel.13349
- 34.
Ząbek T, et al. Methylation marks of blood leukocytes of native Hucul mares differentiated in age. Int. J. Genomics. 2019;2019:2839614.
Not in our library10.1155/2019/2839614
- 35.
Zhou Y, et al. Comparative whole genome DNA methylation profiling across cattle tissues reveals global and tissue-specific methylation patterns. BMC Biol. 2020;18:85.
Not in our library10.1186/s12915-020-00793-5
- 36.
Liu S, et al. Epigenomics and genotype-phenotype association analyses reveal conserved genetic architecture of complex traits in cattle and human. BMC Biol. 2020;18:80.
Not in our library10.1186/s12915-020-00792-6
- 37.
- 38.
- 39.
- 40.
Han Y, et al. New targeted approaches for epigenetic age predictions. BMC Biol. 2020;18:71.
Not in our library10.1186/s12915-020-00807-2
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