Gregory J. Goodall

The paper investigates whether reported miRNAs in cancer are functionally active, finding many are not incorporated into RISC and lack endogenous silencing capability.

The paper identifies pathway-specific functional circular RNAs through loss-of-function screens in cancer cell lines, revealing roles in ferroptosis, WNT, and MAPK signaling.

The paper maps alternative polyadenylation changes during EMT in human mammary epithelial cells and identifies QKI's role in regulating APA and gene expression.

pDriver identifies personalized coding and miRNA cancer drivers for individual patients using gene networks and outperforms existing methods on TCGA datasets.

DriverGroup identifies driver gene groups in cancer by analyzing gene expression and interaction data, showing improved performance over existing methods in detecting gene group regulation and providing insights into breast cancer.

This paper introduces scPrognosis, a method using scRNA-seq data to improve breast cancer prognosis by analyzing EMT-related gene expression dynamics, outperforming bulk RNA-seq based methods.

The paper shows that multiple microRNAs work together to control EMT by reducing noise and enhancing gene expression changes, more accurately reflecting endogenous regulation.