Michael D. Neinast

The paper quantifies protein turnover in frog and fly embryos using 18O-water labeling and proteomics, revealing divergent strategies of maternal proteome inheritance.

The paper uses in vivo isotope tracing and AI to identify biosynthetic origins of unknown metabolites, revealing new metabolic pathways and age-related changes.

This study maps spatial metabolic gradients in murine liver and intestine using integrated experimental-computational methods, revealing distinct metabolic patterns and fructose-induced metabolic derangements.

This study shows that BT2, an inhibitor of BCKDK, reduces plasma tryptophan by displacing it from albumin, revealing an off-target effect on tryptophan metabolism.

This paper introduces DeepMet, a chemical language model that predicts and discovers unknown metabolites using mass spectrometry data.

The paper quantifies nutrient preferences of gut bacteria in mice using isotope tracing and finds dietary fiber, protein, and host-derived metabolites drive microbial growth.