Transcriptomics

Dataset Information

0

Nanoscale photoproximity labeling of c-Myc predicts cancer specific therapeutic targets


ABSTRACT: Transcription factors (TFs) have long been aspirational therapeutic targets for the treatment of diseases, as their dysregulation is a common mechanism for altered cell states. Despite this, many TFs implicated in disease have disordered structures and lack canonical binding pockets, rendering them non-trivial targets for small molecule-based therapies. Directly inhibiting TF function has proven difficult, but indirect inhibition by targeting the effector molecules that modulate TF function is a promising alternative strategy. Here we report a unified strategy for capturing cancer-specific protein-protein interactions using µMap photoproximity labeling. Using a recently reported intein-based strategy for catalyst conjugation in biochemically intact nuclei, we demonstrate that we can capture unique protein interactomes of c-Myc in androgen receptor dependent and independent prostate cancer cell lines, and that these unique interactors can be mined to identify druggable vulnerabilities. We find that a PC-3 specific Myc interactor, SLK, selectively promotes Myc stabilization and drives epithelial morphology only in androgen receptor negative prostate cancer.

ORGANISM(S): Homo sapiens

PROVIDER: GSE307813 | GEO | 2025/09/16

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2014-03-20 | E-GEOD-51975 | biostudies-arrayexpress
2012-04-25 | E-GEOD-28857 | biostudies-arrayexpress
2015-10-12 | GSE56288 | GEO
2015-10-12 | GSE70078 | GEO
2024-11-26 | PXD058261 |
2021-06-17 | PXD025193 | Pride
2015-10-01 | GSE62645 | GEO
2019-08-26 | GSE117305 | GEO
2019-08-26 | GSE117304 | GEO
2012-04-25 | GSE28857 | GEO