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Series GSE6015 Query DataSets for GSE6015
Status Public on Oct 20, 2006
Title Genome-wide mapping of Polycomb target genes unravels their roles in cell fate transitions
Organism Homo sapiens
Experiment type Expression profiling by array
Summary The Polycomb group (PcG) proteins form chromatin-modifying complexes that are essential for embryonic development and stem cell renewal and are commonly deregulated in cancer. Here, we identify their target genes using genome-wide location analysis in human embryonic fibroblasts. We find that Polycomb-Repressive Complex 1 (PRC1), PRC2, and tri-methylated histone H3K27 co-occupy >1000 silenced genes with a strong functional bias for embryonic development and cell fate decisions. We functionally identify 40 genes derepressed in human embryonic fibroblasts depleted of the PRC2 components (EZH2, EED, SUZ12) and the PRC1 component, BMI-1. Interestingly, several markers of osteogenesis, adipogenesis, and chrondrogenesis are among these genes, consistent with the mesenchymal origin of fibroblasts. Using a neuronal model of differentiation, we delineate two different mechanisms for regulating PcG target genes. For genes activated during differentiation, PcGs are displaced. However, for genes repressed during differentiation, we paradoxically find that they are already bound by the PcGs in nondifferentiated cells despite being actively transcribed. Our results are consistent with the hypothesis that PcGs are part of a preprogrammed memory system established during embryogenesis marking certain key genes for repressive signals during subsequent developmental and differentiation processes.
Keywords: polycomb, development, differentiation, cell fate, stem cells, siRNA
 
Overall design Total RNA was extracted from mock, EZH2, EED, SUZ12, and BMI-1 siRNA-transfected cells. For each treatment, RNA was prepared from six independent experiments and was pooled into one sample to reduce the experimental variation. Targets for microarray hybridization were synthesized accordingly to the supplier’s instructions (Affymetrix). The human GeneChip array U133A (Affymetrix), which interrogates 33,000 transcripts, was used for gene expression profiling. Fifteen GeneChip arrays U133A were used for this analysis; for each different condition, three separate arrays were hybridized with pooled cRNA. Hybridization, washing, staining, scanning, and data analysis were performed at The Affymetrix Microarray Unit at the IFOM-IEO campus, Milan, Italy, according to the manufacturer’s instructions. Expression levels were analyzed using Microarray Analysis Suite (MAS) 5.0 statistical algorithm software (Affymetrix), using the default parameters and scaling (TGT Value) signal intensities for all the GeneChip arrrays to a value of 500. The mock siRNA treatment was used as a baseline condition for comparison with the polycomb siRNA-treated samples.
 
Contributor(s) Bracken AP, Dietrich N, Pasini D, Hansen KH, Helin K
Citation(s) 16618801
Submission date Oct 11, 2006
Last update date Aug 10, 2018
Contact name Adrian P. Bracken
E-mail(s) adrian.bracken@bric.dk
Phone +45 39179681
URL http://www.bric.dk/cms/viewPage.php?id=129
Organization name Biotech Research & Innovation Centre (BRIC)
Lab Kristian Helin lab
Street address Fruebjergvej 3
City Copenhagen
ZIP/Postal code 2100
Country Denmark
 
Platforms (1)
GPL96 [HG-U133A] Affymetrix Human Genome U133A Array
Samples (15)
GSM139650 The Identification of gene expression changes in human embryonic fibroblast cells depleted of BMI-1. Sample A
GSM139671 The Identification of gene expression changes in human embryonic fibroblast cells depleted of BMI-1. Sample B
GSM139672 The Identification of gene expression changes in human embryonic fibroblast cells depleted of BMI-1. Sample C
Relations
BioProject PRJNA97817

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Supplementary file Size Download File type/resource
GSE6015_RAW.tar 52.9 Mb (http)(custom) TAR (of CEL)

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