Hu Chen

A direct RNA sequencing workflow for simultaneous profiling of tRNA abundance and modifications in mouse liver

This paper introduces a direct RNA sequencing workflow to profile tRNA abundance and modifications in mouse liver, identifying key modification sites and isotype-specific patterns.

Deep-learning-enabled multi-omics analyses for prediction of future metastasis in cancer

This paper introduces EmitGCL, a deep-learning framework that predicts future metastasis in cancer with high accuracy, identifies biomarkers, and validates therapeutic targets.

NRF2 pathway activation and SPP1⁺TREM2⁺ macrophages drive chemoradiotherapy resistance in esophageal squamous cell carcinoma

This study identifies NRF2 pathway activation and SPP1⁺TREM2⁺ macrophages as drivers of chemoradiotherapy resistance in ESCC through multi-omics analysis of clinical trial data.

Characterizing Cellular Heterogeneity and Transcriptomic Features of Senotype Using Deep Graph Representation Learning

This paper introduces DeepSAS, a deep graph framework to identify senescent cells and their associated genes, revealing cell-type-specific senescence features in aging and disease.

Mechanical Responses of the Giant Nesprin-2

This study investigates the mechanical dynamics of giant nesprin-2's spectrin repeat domains under force, revealing their unfolding and refolding behavior and their role in force absorption.