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Series GSE55901 Query DataSets for GSE55901
Status Public on Jul 01, 2014
Title "Drug-seq": An Approach to Identify the Genomic Targets of Chemicals Identified by Functional Phenotypic Screens [Drug-seq]
Organism Homo sapiens
Experiment type Genome binding/occupancy profiling by high throughput sequencing
Summary Here we report an approach that has permitted us to uncover the sites and mechanisms of action of a drug, referred to as SD70, initially identified by phenotypic screening for inhibitors of ligand and genotoxic stress-induced translocations in prostate cancer cells. Based on synthesis of a derivatized form of SD70 that permits its application for a ChIP-seq-like approach, referred to as Drug-seq, we were next able to efficiently map the genome-wide binding locations of this small molecule, revealing that it largely co-localized with androgen receptor (AR) on regulatory enhancers. Based on these observations, we performed the appropriate global analyses to ascertain that SD70 inhibits the androgen-dependent AR program, and prostate cancer cell growth, acting, at least in part, by functionally inhibiting the jumonji (JMJ) domain-containing demethylase, KDM4C. Drug-seq represents a powerful strategy for new drug development by mapping genome-wide location of small molecules, a powerful adjunct to contemporary drug development strategies.
 
Overall design Drug-seq assay followed by high-throughput sequencing (HT-seq).
 
Contributor(s) Jin C, Yang L, Merkurjev D
Citation(s) 24928520
Submission date Mar 13, 2014
Last update date May 15, 2019
Contact name MICHAEL G ROSENFELD
E-mail(s) mrosenfeld@ucsd.edu
Organization name HHMI/UCSD
Street address 9500 Gilman Drive
City La Jolla
State/province CA
ZIP/Postal code 92093
Country USA
 
Platforms (1)
GPL11154 Illumina HiSeq 2000 (Homo sapiens)
Samples (2)
GSM1348218 minusDHT_SD70_hs35l1_3
GSM1348219 plusDHT_SD70_hs35l1_4
This SubSeries is part of SuperSeries:
GSE55904 "Drug-seq": An Approach to Identify the Genomic Targets of Chemicals Identified by Functional Phenotypic Screens
Relations
BioProject PRJNA241278
SRA SRP040116

Download family Format
SOFT formatted family file(s) SOFTHelp
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Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE55901_RAW.tar 110.0 Mb (http)(custom) TAR (of BEDGRAPH)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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