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https://doi.org/10.1371/journal.pcbi.1000607
Title: | Dissecting early differentially expressed genes in a mixture of differentiating embryonic stem cells | Authors: | Hong F. Fang F. He X. Cao X. Chipperfield H. Xie D. Wong W.H. Ng H.H. Zhong S. |
Keywords: | animal cell article cell differentiation cell separation cell type controlled study embryo embryonic stem cell gene expression mouse nonhuman pluripotent stem cell animal biological model biology cytology gene expression profiling gene expression regulation gene regulatory network genetics methodology physiology Poisson distribution Murinae Animals Cell Differentiation Computational Biology Embryonic Stem Cells Gene Expression Profiling Gene Expression Regulation, Developmental Gene Regulatory Networks Mice Models, Genetic Poisson Distribution |
Issue Date: | 2009 | Citation: | Hong F., Fang F., He X., Cao X., Chipperfield H., Xie D., Wong W.H., Ng H.H., Zhong S. (2009). Dissecting early differentially expressed genes in a mixture of differentiating embryonic stem cells. PLoS Computational Biology 5 (12) : e1000607. ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pcbi.1000607 | Rights: | Attribution 4.0 International | Abstract: | The differentiation of embryonic stem cells is initiated by a gradual loss of pluripotency-associated transcripts and induction of differentiation genes. Accordingly, the detection of differentially expressed genes at the early stages of differentiation could assist the identification of the causal genes that either promote or inhibit differentiation. The previous methods of identifying differentially expressed genes by comparing different cell types would inevitably include a large portion of genes that respond to, rather than regulate, the differentiation process. We demonstrate through the use of biological replicates and a novel statistical approach that the gene expression data obtained without prior separation of cell types are informative for detecting differentially expressed genes at the early stages of differentiation. Applying the proposed method to analyze the differentiation of murine embryonic stem cells, we identified and then experimentally verified Smarcad1 as a novel regulator of pluripotency and self-renewal. We formalized this statistical approach as a statistical test that is generally applicable to analyze other differentiation processes. © 2009 Hong et al. | Source Title: | PLoS Computational Biology | URI: | https://scholarbank.nus.edu.sg/handle/10635/161669 | ISSN: | 1553734X | DOI: | 10.1371/journal.pcbi.1000607 | Rights: | Attribution 4.0 International |
Appears in Collections: | Elements Staff Publications |
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