E-GEOD-7506 - Transcription profiling of mouse embryonic stem cells after 1, 3, and 5 days LIF differentiation, and 1 and 2 days RA differentiation to predict and test of novel networks regulating embryonic stem cell self-renewal and commitment

Released on 15 June 2008, last updated on 2 May 2014
Mus musculus
Samples (36)
Arrays (2)
Protocols (7)
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 following the initiation of commitment and integrated these data with known genome-wide transcription factor binding. Effects of forced under- or over-expression 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, for the first time, formulated novel networks describing gene repression of key developmental regulators in undifferentiated ESCs and successfully predicted the outcomes of genetic manipulation of these networks. Experiment Overall Design: 1, 3, and 5 days LIF differentiated ESCs, and 1 and 2 days RA differentiated ESCs
Experiment types
transcription profiling by array, unknown experiment type
Investigation descriptionE-GEOD-7506.idf.txt
Sample and data relationshipE-GEOD-7506.sdrf.txt
Raw data (1)E-GEOD-7506.raw.1.zip
Processed data (1)E-GEOD-7506.processed.1.zip
Array designsA-AFFY-6.adf.txt, A-AFFY-7.adf.txt
R ExpressionSetE-GEOD-7506.eSet.r