R. Gray Huffman

The paper quantifies proteomes and RNA levels in human testis cells to infer post-transcriptional regulation using a Bayesian model called BayesPG.

The paper introduces nPOP, a method for single-cell protein covariation analysis, revealing cell cycle dynamics and functional differences between melanoma subpopulations.

Multiplexing nonisobaric isotopologous mass tags (mTRAQ) with data-independent acquisition and DIA-NN increases sensitive proteomics throughput 3-fold while cutting missing data below 3% in bulk and single cells.

This paper develops SCoPE2, a single-cell proteomic method, to analyze macrophage heterogeneity and finds a continuous proteome gradient in macrophages without polarizing cytokines.

DO-MS identifies and optimizes bottlenecks in LC-MS/MS methods by interactively visualizing and analyzing data from all analysis levels, improving ion delivery efficiency by 370% in one case.