No retraction, correction or concern found when last checked on Oct 30, 2026.
Transcriptome Analysis of Mouse Stem Cells and Early Embryos
Alexei A Sharov, Yulan Piao, Ryo Matoba and 37 more
PLoS Biology · 2003
doi:10.1371/journal.pbio.0000074
Abstract
Understanding and harnessing cellular potency are fundamental in biology and are also critical to the future therapeutic use of stem cells. Transcriptome analysis of these pluripotent cells is a first step towards such goals. Starting with sources that include oocytes, blastocysts, and embryonic and adult stem cells, we obtained 249,200 high-quality EST sequences and clustered them with public sequences to produce an index of approximately 30,000 total mouse genes that includes 977 previously unidentified genes. Analysis of gene expression levels by EST frequency identifies genes that characterize preimplantation embryos, embryonic stem cells, and adult stem cells, thus providing potential markers as well as clues to the functional features of these cells. Principal component analysis identified a set of 88 genes whose average expression levels decrease from oocytes to blastocysts, stem cells, postimplantation embryos, and finally to newborn tissues. This can be a first step towards a possible definition of a molecular scale of cellular potency. The sequences and cDNA clones recovered in this work provide a comprehensive resource for genes functioning in early mouse embryos and stem cells. The nonrestricted community access to the resource can accelerate a wide range of research, particularly in reproductive and regenerative medicine.
Cited by papers we hold 4
- Deep mRNA sequencing analysis to capture the transcriptome landscape of zebrafish embryos and larvae. · 2013Not checked
- Deterministic and Stochastic Allele Specific Gene Expression in Single Mouse Blastomeres · 2011No notice
- Signed weighted gene co-expression network analysis of transcriptional regulation in murine embryonic stem cells · 2009No notice
- Dissecting Oct3/4-Regulated Gene Networks in Embryonic Stem Cells by Expression Profiling · 2006No notice
Reads
Read by people on this page
None yet.
Checked or read by AI through naulon
None yet.
A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.
Are you an author?
Is this your paper?
Claim it to add your note and be paid when agents cite it. Free.