Christopher A. Barnes

This study identifies plasma protein biomarkers and mechanistic pathways in Parkinson's disease using deep proteomics and functional genomics.

This paper introduces a framework for interpreting single-cell proteomics data from patch-clamped neurons in acute brain slices, showing how retrieval quality affects proteomic outcomes.

This paper introduces RP3, a pipeline combining proteogenomics and ribosome profiling to identify microprotein-encoding smORFs missed by Ribo-Seq alone, improving detection and confidence.

The paper identifies and characterizes small ORFs and microproteins in adipose cells, showing their metabolic relevance and potential roles in obesity and inflammation.

This paper introduces a method to generate high-quality DIA-MS libraries using peptide predictions and empirical refinement, demonstrating its effectiveness in non-model organisms and non-canonical databases.

This study integrates transcriptome, proteome, and phosphoproteome data from yeast to show how genetic variation affects molecular networks and cellular growth traits, with phosphorylation playing a key role.