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hnRNPL phase separation activates PIK3CB transcription and promotes glycolysis in ovarian cancer (RNApolII ChIPseq)

GSE289075 Homo sapiens Genome binding/occupancy profiling by high throughput sequencing 8 samples Submitted 2025/02/13 Platform GPL16791
Summary
Ovarian cancer has the highest mortality rate among gynecologic tumors worldwide, with unclear underlying mechanisms of pathogenesis. RNA-binding proteins (RBPs) primarily direct post-transcriptional regulation through modulating RNA metabolism. Recent evidence demonstrates that RBPs are also implicated in transcriptional control. However, the role and mechanism of RBP-mediated transcriptional regulation in tumorigenesis remain largely unexplored. Here, we show that the RBP heterogeneous ribonucleoprotein L (hnRNPL) interacts with chromatin and regulates gene transcription by forming phase-separated condensates in ovarian cancer. hnRNPL phase separation activates PIK3CB transcription and glycolysis, thus promoting ovarian cancer progression. Notably, we observe that the PIK3CB promoter is transcribed to produce a non-coding RNA which interacts with hnRNPL and promotes hnRNPL condensation. Furthermore, hnRNPL is significantly amplified in ovarian cancer, and its high expression predicts poor prognosis for ovarian cancer patients. By using cell-derived xenograft and patient-derived organoid models, we show that hnRNPL knockdown suppresses ovarian tumorigenesis. Together, our study reveals that phase separation of the chromatin-associated RBP hnRNPL promotes PIK3CB transcription and glycolysis to facilitate tumorigenesis in ovarian cancer. The formed hnRNPL-PIK3CB-AKT axis depending on phase separation can serve as a potential therapeutic target for ovarian cancer.
Published in
hnRNPL phase separation activates PIK3CB transcription and promotes glycolysis in ovarian cancer
Qin F, Wang Y, Yang C et al. · Nature communications 2025 · PMID 40413189 · doi:10.1038/s41467-025-60115-7
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Also filed as BioProject PRJNA1071467 and SRA study SRP487042. Searching any of these in the dataset finder brings you back here.

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