Jiemei Chu

This study identifies a novel m6A-METTL3-SOCS3 regulatory axis that preserves CD4+ T cell homeostasis in HIV-infected long-term non-progressors by modulating JAK2/STAT4 signaling.

The paper analyzes m6A methylomes across nine human tissues to show how m6A variation contributes to tumor heterogeneity and clinical outcomes in different cancer types.

Scm6A is a machine learning method for single-cell m6A quantification, validated against m6A-seq and showing strong correlation in T-cells and disease samples.