Zidong Zhang

In 174 sedentary adults, resistance exercise changed more muscle molecular features than endurance exercise across omes and time points; network analysis nominates MEF2A and NFIC as regulatory hubs.

The paper uses single-nucleus multiomics to study pituitary cell changes during the mouse estrous cycle, finding stage-dependent gene regulatory circuits and validated ETS2-driven gene expression patterns.

This study examines how acute endurance and resistance exercise alter alternative splicing in human skeletal muscle, adipose tissue, and blood, identifying 5102 differential splicing events and their regulatory mechanisms.

The paper creates a large-scale Consensus Pituitary Atlas to improve reproducibility and enable marker discovery and analysis in pituitary research.

The paper uses single-nucleus multiome sequencing to analyze gene regulatory changes in human skeletal muscle after endurance exercise, identifying fiber-type specific regulatory programs and transcription factor networks.

The paper introduces CREMA, a framework for mapping cis-regulatory circuits using single-cell multiome data without peak-calling, and validates it using mouse pituitary data.

This study uses single-cell transcriptomics to analyze human fetal kidney development, identifying 17 cell clusters and their lineage trajectories.