A differential network analysis approach for lineage specifier prediction in stem cell subpopulations-Reference-Cited by-同舟云学术

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A differential network analysis approach for lineage specifier prediction in stem cell subpopulations

Published:2015-11-12 Issue:1 Volume:1 Page:
ISSN:2056-7189
Container-title:npj Systems Biology and Applications
language:en
Short-container-title:npj Syst Biol Appl

Author:

Okawa Satoshi,Angarica Vladimir Espinosa,Lemischka Ihor,Moore Kateri,del Sol Antonio

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Drug Discovery,General Biochemistry, Genetics and Molecular Biology,Modeling and Simulation

Link

http://www.nature.com/articles/npjsba201512.pdf

Reference45 articles.

1. Li VC, Kirschner MW . Molecular ties between the cell cycle and differentiation in embryonic stem cells. Proc Natl Acad Sci USA 2014; 111: 9503–9508.

2. Keller G . Embryonic stem cell differentiation: emergence of a new era in biology and medicine. Genes Dev 2005; 19: 1129–1155.

3. Moignard V, Macaulay IC, Swiers G, Buettner F, Schutte J, Calero-Nieto FJ et al. Characterization of transcriptional networks in blood stem and progenitor cells using high-throughput single-cell gene expression analysis. Nat Cell Biol 2013; 15: 363–372.

4. Guo G, Huss M, Tong GQ, Wang C, Li Sun L, Clarke ND et al. Resolution of cell fate decisions revealed by single-cell gene expression analysis from zygote to blastocyst. Dev. Cell 2010; 18: 675–685.

5. Tang F, Barbacioru C, Bao S, Lee C, Nordman E, Wang X et al. Tracing the derivation of embryonic stem cells from the inner cell mass by single-cell RNA-Seq analysis. Cell Stem Cell 2010; 6: 468–478.

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