Gong‐Hong Wei

This study introduces PreCSenM, a machine learning model that quantifies cellular senescence and identifies HDAC inhibitors as senescence inducers in lung adenocarcinoma.

This study identifies β4-integrins as critical for maintaining nuclear mechanics and integrity in prostate cancer, linking cell-ECM adhesion to genome stability and patient survival.

The paper identifies a phosphorylation switch in PAGE4 as a key mechanism in MED12-mutant fibroid pathogenesis, revealing its role in rewiring the interactome and transcriptional machinery.

This study identifies a noncanonical function of ZMYND11 as an arginine-methylated HNRNPA1 reader that suppresses stress granule formation and tumor progression.

This study identifies RFX6 at locus 6q22 as a driver of prostate cancer metastasis and drug resistance through epigenetic and genetic mechanisms.

KMAP is a method for visualizing DNA sequences by projecting kmers into 2D space, showing it can detect patterns comparable to MEME and find biologically relevant interactions in ChIP-seq and gene editing data.

This study identifies 413 APA-linked cancer susceptibility genes by integrating GWAS data with APA quantification, showing genetic variants associated with APA explain a large portion of cancer heritability.

The paper identifies a regulatory SNP rs60464856 that increases RUVBL1 expression and contributes to prostate cancer progression through cohesin-CTCF binding and cell-cycle activation.