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Series GSE232849 Query DataSets for GSE232849
Status Public on Jul 31, 2023
Title Androgen receptor condensates as drug targets
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Transcription factors are among the most attractive therapeutic targets but are considered largely undruggable. Here we provide evidence that small molecule-mediated partitioning of the androgen receptor, an oncogenic transcription factor, into phase-separated condensates has therapeutic effect in prostate cancer. We show that the phase separation capacity of the androgen receptor is driven by aromatic residues and short unstable helices in its intrinsically disordered activation domain. Based on this knowledge, we developed tool compounds that covalently attach aromatic moieties to cysteines in the receptors’ activation domain. The compounds enhanced partitioning of the receptor into condensates, facilitated degradation of the receptor, inhibited androgen receptor-dependent transcriptional programs, and had antitumorigenic effect in mouse models of prostate cancer and castration resistant prostate cancer. These results establish a generalizable framework to target the phase-separation capacity of intrinsically disordered regions in oncogenic transcription factors and other disease-associated proteins with therapeutic intent.
 
Overall design Comparative gene expression profiling analysis of RNA-seq data for AR V7, AR V7 22YtoS and AR V7 22YtoF in PC3 cells.
 
Contributor(s) Stracker T, Smak J
Citation(s) 38049566
Submission date May 18, 2023
Last update date Dec 14, 2023
Contact name Uma T Shankavaram
E-mail(s) uma@mail.nih.gov
Phone 301-496-6718
Organization name NIH
Department NCI
Lab Radiation Oncology Branch
Street address 9000 Rockville Pike
City Bethesda
State/province MD
ZIP/Postal code 20892
Country USA
 
Platforms (1)
GPL16791 Illumina HiSeq 2500 (Homo sapiens)
Samples (8)
GSM7384537 PC3 MTID EV 1
GSM7384538 PC3 MTID EV 2
GSM7384539 PC3 MTID V7 1
Relations
BioProject PRJNA974060

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Supplementary file Size Download File type/resource
GSE232849_RawCountFile_RSEM_genes.txt.gz 609.8 Kb (ftp)(http) TXT
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Raw data are available in SRA
Processed data are available on Series record

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