Luojiao Huang

This study identifies metabolic targets in breast cancer by analyzing multi-omics data from cell lines, revealing subtype-specific dependencies and potential drug targets.

fluxTrAM automates processing of tracer-based metabolomics data and integrates it with genome-scale metabolic models for flux analysis.

This paper introduces a new method for genome-scale metabolic flux inference using conserved moieties, demonstrating its computational efficiency and accuracy with isotopic labeling data.

This paper develops a tracer-based metabolomics approach to measure NO metabolites in 2D and 3D endothelial models, showing that 3D models with unidirectional flow better mimic physiological conditions than 2D static cultures.