A Temporal Atlas of the Nuclear Androgen Receptor Proximal Interactome
Ptak, C. C.; Eng, J.; Radoshevich, L.; Wright, M. E.
Show abstract
Androgen receptor-interacting proteins (AR-IPs) comprise nearly 1,000 cataloged partners, yet how AR engages this interactome inside the nucleus, in what temporal order, and through what molecular handoffs, remains uncharted. Here, we construct a minute-scale temporal atlas of the nuclear AR proximal interactome by proximity-labeling quantitative mass spectrometry (PL-qMS) in androgen-treated LNCaP prostate cancer cells, capturing 84.2% of the known AR-interactome and resolving 3,378 nuclear AR-proximal interacting proteins (AR-PIPs) across six time points. The atlas recapitulates the cyclic sequential recruitment model established at AR-regulated loci by classical ChIP and recovers 100% of previously known AR interactors from the Launonen 2021 ChIP-SICAP chromatome. Embedded within this canonical chromatin signature, we uncover a time-resolved translation-to-transcription handoff in which cap-binding eIF4G and 4E-BP1 are transiently AR-proximal at the earliest time points, verified by PLA. The atlas converts the AR coregulator catalog into a temporally resolved quantitative framework for AR-dependent transcription. SynopsisA minute-scale temporal atlas of the nuclear AR-proximal interactome resolves a translation-to-transcription handoff during the androgen response. O_LITemporal nuclear AR-proximal interactome atlas in androgen-treated LNCaP cells C_LIO_LI3,378 nuclear AR-PIPs recovered, 100% of previously known Launonen AR partners C_LIO_LICap-binding eIF4G and 4E-BP1 are transiently AR-proximal at early time points C_LIO_LIPLA verifies AR-eIF4G and AR-4E-BP1 proximal interactions pointing to a translation-to-transcription handoff C_LI
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.