Matthew D. Hirschey

datadrivenhypothesis.org integrates gene and pathway data to uncover metabolic connections and generate hypotheses about gene function.

The paper identifies cysteine S-acetylation as a novel post-translational modification in mouse liver, revealing its cytoplasmic localization and tissue-specific patterns under metabolic stress.

This study identifies fatty acid desaturases SCD1 and FADS2 as critical for EBV-induced B cell proliferation and reveals their role in promoting metabolic pathways that support lymphoma growth.

This study identifies SIRT4 as a lysine deitaconylase that regulates macrophage inflammatory responses and wound healing by modulating protein itaconylation in mice.

The paper identifies Complex II's role in de novo purine biosynthesis in AML using CRISPR and metabolomic data, showing it as a therapeutic target.

GAUDI integrates multi-omics data using UMAP embeddings and density-based clustering to uncover non-linear relationships and identify interpretable latent factors across datasets.

The paper introduces a tool called DDH to predict gene functions by integrating gene essentiality, expression, and literature data, enabling hypothesis generation for thousands of human genes.