Benjamin C. Orsburn

This study identifies how aging and HIV status differentially affect antiretroviral therapy disposition pathways in rectosigmoid tissue and PBMC, with aging causing broader changes in drug-related proteins.

This paper introduces PAMAF, a novel DIA-MS mode using HRIM for proteomics, achieving higher sensitivity and efficiency in protein identification and quantification.

This paper demonstrates that proteomic analysis is feasible for less studied organisms like black widow spiders using available genome annotations and ortholog mapping.

The paper evaluates drug metabolism and transport in BBB cell types, finding distinct capacities in endothelial cells, pericytes, and astrocytes that affect CNS drug disposition.

The study shows that carrier proteome limits vary with mass analyzer type, suggesting that using analyzers with higher linear dynamic range can improve isobaric peptide signal amplification.

This study investigates how cocaine affects the transport and metabolism of antiretroviral drugs across the blood-brain barrier by modulating drug transporters and enzymes.

This study uses single cell proteomics by mass spectrometry to analyze histone post-translational modifications in cancer cells treated with an HDAC inhibitor, identifying 16 PTMs and a previously uncharacterized drug response.

This paper develops a method to measure intracellular drug concentrations and proteomic responses in single cells, revealing drug response heterogeneity in KRASG12D inhibitor treatment.

Bolt is a proteomics search engine that rapidly processes large protein databases with enhanced sensitivity and accuracy for MS/MS sequencing.

The paper assesses the accuracy of synchronous precursor selection (SPS) in proteomics datasets using a new post-processing tool applied to three public datasets.

This study uses global metabolomics to identify complex counterfeit medicinal products by analyzing molecular profiles with UHPLC-HRAM-MS/MS and statistical tools.

This study evaluates the ZipChip CE-MS system for high-throughput shotgun proteomics, finding it capable of identifying up to 800 unique protein groups in 12 minutes.

The paper introduces RIDAR, a method to reduce computational load in isobaric proteomics by filtering MS/MS spectra before database searching, achieving an 85% time reduction on a standard desktop.