Back

Binding of long non-coding RNAs within the androgen receptor N-terminal tail modulates interdomain communication and liquid-liquid phase separation

Farahi, N.; Balatti, G. E.; Volkov, A. N.; Pancsa, R.; Tompa, P.; Loris, R.

2026-05-29 biochemistry
10.64898/2026.05.28.728402 bioRxiv
Show abstract

The androgen receptor (AR) is a transcription factor whose overactivation is a primary driver of prostate cancer. Although AR interactions with several long non-coding RNAs (lncRNAs) have been implicated in castration-resistant prostate cancer, their underlying molecular mechanisms and functional consequences remain poorly understood. Here, we identify the N-terminal 37 residues of the intrinsically disordered AR N-terminal domain as the primary RNA-binding region that mediates selective interactions with the lncRNAs HOTAIR and SLNCR1. Residue-level mapping and mutational analysis define Y11, R13, and Q24 as key determinants of RNA recognition. This RNA-binding region partially overlaps with the F23QNLF27 motif, previously shown to mediate N/C interdomain communication with the ligand-binding domain through folding upon binding. We observe a partner-dependent binding mode in which this motif remains dynamically disordered upon RNA binding. LncRNA binding promotes phase separation of the N-terminal domain, indicating that lncRNAs upregulated in late-stage prostate cancer may lower the threshold for AR condensate formation and contribute to ligand-independent AR signaling. LncRNAs modulate communication between the N-terminal and ligand-binding domains within condensates, suggesting that lncRNA binding may tune hormone-dependent full-length AR signaling. These findings provide a mechanistic framework for AR-lncRNA regulation, laying the groundwork for future therapeutic strategies against advanced prostate cancer. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=83 SRC="FIGDIR/small/728402v1_ufig1.gif" ALT="Figure 1000"> View larger version (22K): org.highwire.dtl.DTLVardef@bee76dorg.highwire.dtl.DTLVardef@14bb6edorg.highwire.dtl.DTLVardef@1d693b5org.highwire.dtl.DTLVardef@7b70d1_HPS_FORMAT_FIGEXP M_FIG C_FIG

Matching journals

The top 1 journal accounts for 50% of the predicted probability mass.

50% of probability mass above

"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.