Xiaojuan Fan

The paper identifies 3'UTR sequences that promote cap-independent translation initiation in human mRNAs, revealing a new regulatory mechanism involving translation factors.

The paper develops a deep learning model to predict translation initiation and termination sites from RNA sequences, revealing new insights into translation control and identifying novel open reading frames.

This study identifies IRES-like elements that drive circRNA translation and shows that many endogenous circRNAs are translated into peptides.

The paper systematically identifies PRMT interactomes and shows arginine methylation regulates RNA splicing and translation by affecting ribosome assembly and cell growth.