Phillip Seitzer

This study identifies molecular changes in diet-restricted mice that correlate with lifespan and aging, highlighting key genes and pathways involved in longevity.

The paper describes an automated LLE platform for plasma sample preparation and analyzes metabolomic, lipidomic, and proteomic changes in mice on a high-fat diet.

This paper introduces a new framework to estimate in vivo protein turnover rates by addressing labeling identification and amino acid enrichment challenges, revealing differences in protein turnover between mice and naked mole-rats.

The paper improves metabolite identification in LC-MS datasets by incorporating in-source fragment information from MS/MS spectral libraries.