Jason A. Somarelli

The paper identifies IRF6 as an inhibitor of epithelial-mesenchymal transition (EMT) through integrated computational and experimental analysis.

This study examines the cell type-specific effects of PFAS compounds on p53 and TGF-β signaling pathways in human cell lines.

This paper develops a memory-driven model to predict enzalutamide resistance in prostate cancer by integrating reinforcement learning and clinical data, outperforming traditional models in capturing treatment dynamics and patient responses.

The paper shows that AR inhibition in prostate cancer causes DNA replication stress, which can be exploited by combining with a TLS inhibitor to enhance treatment efficacy.

The paper identifies Pseudomonas stutzeri as a plastic-degrading species by analyzing microbial enzyme sequences and structures, and validates its ability to degrade synthetic polymers.

The paper uses multi-modal transcriptomic data to show basal breast cancer exhibits hybrid epithelial/mesenchymal states and higher phenotypic heterogeneity compared to luminal breast cancer.