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Prediction and testing of novel transcriptional networks regulating embryonic stem cell self-renewal and commitment.

Prediction and testing of novel transcriptional networks regulating embryonic stem cell self-renewal and commitment. Research Abstract Details 

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  • Prediction and testing of novel transcriptional networks regulating embryonic stem cell self-renewal and commitment. Abstract Text:

    emily walkerEmily Walker,minako ohishiMinako Ohishi,ryan e daveyRyan E Davey,wen zhangWen Zhang,paul a cassarPaul A Cassar,tetsuya s tanakaTetsuya S Tanaka,sandy d derSandy D Der,quaid morrisQuaid Morris,timothy r hughesTimothy R Hughes,peter w zandstraPeter W Zandstra,william l stanfordWilliam L Stanford,emily walkerEmily Walker,minako ohishiMinako Ohishi,ryan e daveyRyan E Davey,wen zhangWen Zhang,paul a cassarPaul A Cassar,tetsuya s tanakaTetsuya S Tanaka,sandy d derSandy D Der,quaid morrisQuaid Morris,timothy r hughesTimothy R Hughes,peter w zandstraPeter W Zandstra,william l stanfordWilliam L Stanford,

    Stem cell fate is governed by the integration of intrinsic and extrinsic positive and negative signals upon inherent transcriptional networks. To identify novel embryonic stem cell (ESC) regulators and assemble transcriptional networks controlling ESC fate, we performed temporal expression microarray analyses of ESCs after the initiation of commitment and integrated these data with known genome-wide transcription factor binding. Effects of forced under- or overexpression of predicted novel regulators, defined as differentially expressed genes with potential binding sites for known regulators of pluripotency, demonstrated greater than 90% correspondence with predicted function, as assessed by functional and high-content assays of self-renewal. We next assembled 43 theoretical transcriptional networks in ESCs, 82% (23 out of 28 tested) of which were supported by analysis of genome-wide expression in Oct4 knockdown cells. By using this integrative approach, we have formulated novel networks describing gene repression of key developmental regulators in undifferentiated ESCs and successfully predicted the outcomes of genetic manipulation of these networks.

    Prediction and testing of novel transcriptional networks regulating embryonic stem cell self-renewal and commitment. Publishing Authors By Initials

    e walkerE Walker,m ohishiM Ohishi,re daveyRE Davey,w zhangW Zhang,pa cassarPA Cassar,ts tanakaTS Tanaka,sd derSD Der,q morrisQ Morris,tr hughesTR Hughes,pw zandstraPW Zandstra,wl stanfordWL Stanford,e walkerE Walker,m ohishiM Ohishi,re daveyRE Davey,w zhangW Zhang,pa cassarPA Cassar,ts tanakaTS Tanaka,sd derSD Der,q morrisQ Morris,tr hughesTR Hughes,pw zandstraPW Zandstra,wl stanfordWL Stanford,

    For similar abstracts research abstracts see: abstracts research

    PUBMED ID PMID:

    MEDLINE DATE:

    Prediction and testing of novel transcriptional networks regulating embryonic stem cell self-renewal and commitment. Journal Published:

    PUBLICATION TYPE: Research Support, Non-U.S. Gov

    Journal: Cell stem cell

    VOLUME: 1

    Page Numbers: 71-86

    Journal Abbreviation:

    ISSN: 1934-5909

    DAY: 7

    MONTH: Jun

    YEAR: 2007

    Prediction and testing of novel transcriptional networks regulating embryonic stem cell self-renewal and commitment. Information

    Number of References:

    LANGUAGE: eng

    NlmUniqueID: 101311472

    Prediction and testing of novel transcriptional networks regulating embryonic stem cell self-renewal and commitment. Keywords Mesh Terms:

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    Grant and Affiliation Information for Prediction and testing of novel transcriptional networks regulating embryonic stem cell self-renewal and commitment.

    AFFILIATION: Institute of Biomaterials and Biomedical Engineering, University of Toronto, 164 College Street, Toronto, ON, M5S 3G9, Canada.

    Country: United States

    United States Research PublicationUnited States Research Publication

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    MEDLINETA: Cell Stem Cell

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    ACCESSION NUMBER: GSE7520

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