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Genome-wide mapping of Polycomb target genes unravels their roles in cell fate transitions

ABSTRACT: 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

ORGANISM(S): Homo sapiens

PROVIDER: GSE6015 | GEO | 2006/10/20

SECONDARY ACCESSION(S): PRJNA97817

REPOSITORIES: GEO

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Project description: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. Experiment 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 supplierâs 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 manufacturerâs 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.

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Genome-wide mapping of Polycomb target genes unravels their roles in cell fate transitions

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