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Series GSE108536 Query DataSets for GSE108536
Status Public on Jan 09, 2020
Title Systematic identification of silencers in human cells
Organism Homo sapiens
Experiment type Other
Summary The majority of the human genome does not encode proteins. Many of these noncoding regions contain important regulatory sequences that control gene expression. To date, most studies have focused on activators such as enhancers, but regions that repress gene expression⎯silencers⎯have not been systematically studied. We have developed a system that identifies silencer regions in a genome-wide fashion based on silencer-mediated transcriptional repression of caspase 9. We found that silencers are widely distributed and may function in a tissue-specific fashion. These silencers harbor unique epigenetic signatures and are associated with specific transcription factors. Silencers also act at multiple genes, and at the level of chromosomal domains and long-range interactions. Deletion of silencer regions linked to the drug transporter genes ABCC2 and ABCG2 caused chemo-resistance. Overall, our study demonstrates that tissue-specific silencing is widespread throughout the human genome and likely contributes significantly to the regulation of gene expression and human biology.
 
Overall design A high-throughput ReSE lenti-viral screen system was designed to systematically discover silencer regions in the human genome.
 
Contributor(s) Pang B, Snyder M
Citation(s) 32094911
Submission date Dec 26, 2017
Last update date Mar 05, 2020
Contact name Baoxu Pang
Organization name Stanford University
Department Genetics
Lab Michael Snyder
Street address 3165 Porter Drive
City Palo Alto
State/province CALIFORNIA
ZIP/Postal code 94304
Country USA
 
Platforms (2)
GPL15520 Illumina MiSeq (Homo sapiens)
GPL20301 Illumina HiSeq 4000 (Homo sapiens)
Samples (12)
GSM2902872 K562_C_rep1
GSM2902873 K562_C_rep2
GSM2902874 K562_1nM_AP_rep1
Relations
BioProject PRJNA427579
SRA SRP127572

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Supplementary file Size Download File type/resource
GSE108536_HepG2_FDR_0.01.bed.gz 19.7 Kb (ftp)(http) BED
GSE108536_K562_FDR_0.01.bed.gz 31.1 Kb (ftp)(http) BED
GSE108536_K562_PMA_FDR_0.01.bed.gz 15.9 Kb (ftp)(http) BED
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Raw data are available in SRA
Processed data are available on Series record

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