Dongqing Zheng

This paper develops a kinetic and data-driven model of pancreatic β-cell metabolism to understand its role in glucose-stimulated insulin secretion and predict therapeutic interventions.

The paper identifies a proteomic signature of senescence in primary human mammary epithelial cells using mass spectrometry-based proteomics and integrates it with transcriptomic data.

The paper shows that AKT, but not MYC, causes cell death in oxidative conditions by increasing reactive oxygen species, revealing a metabolic vulnerability in cancer cells.

The paper develops a computational model to explain site-specific phosphorylation kinetics of CARs using phospho-proteomic data and mechanistic modeling.