M. Shahid Mukhtar

The paper identifies how protein stability, turnover, and abundance influence the connectivity of protein-protein interaction networks in yeast.

ANYI integrates yeast PPI data with sixteen biophysical and regulatory annotations to enable cross-layer interactome analysis.

The paper identifies common gene regulatory signatures across multiple inflammatory skin diseases using an integrative systems biology framework and proposes potential drug targets.

The paper analyzes microbial communities in soybean roots under drought stress, finding distinct endophytic bacterial structures between surviving and non-surviving plants.

This study uses single-cell RNA sequencing to reveal molecular heterogeneity in quiescent melanocyte stem cells and identifies novel subpopulations with distinct immune privilege and differentiation potential.

This study examines the combined effects of drought and heat on soybean physiology, yield, and gene expression during flowering and seed setting, finding that combined stress has more severe negative impacts than individual stresses.

This study uses single-nucleus multiomics to uncover drought-driven gene regulatory mechanisms in Arabidopsis, identifying cell type-specific markers and regulatory networks.

This study identifies expanded NKT and NK cells with elevated CD2 in HS lesions and shows CD2 blockade reduces inflammation and fibrosis.

This study develops a rodent model of rotational head trauma, identifies Cdk5 as a key mediator, and shows its inhibition reduces cognitive and pathological effects.

The paper constructs a human-SARS-CoV-2 interactome using network biology and multiomics data to identify key targets and regulatory circuits involved in SARS-CoV-2 pathogenesis.