Sarah J. Parker

This paper describes a protocol that combines electrophysiological and proteomic analysis to link protein abundance with neuronal excitability in individual neurons.

This paper uses single-cell proteomics to identify novel cell phenotypes in Marfan mouse aorta, revealing sex differences and angiotensin signaling roles in aneurysm formation.

This study investigates the protective effects of ASPN in cardiac myocytes under ischemia-reperfusion stress using an in vitro model, finding it modulates apoptosis, autophagy, and fibrosis-related pathways.

This study shows chronic IFN exposure impairs heart function by causing mitochondrial stress, mtDNA release, and a self-sustaining inflammatory loop in cardiomyocytes.

This study provides a multiomics resource of cancer extracellular vesicles, showing correlations between LO proteins and prostate cancer progression, and demonstrating the feasibility of single-cell RNA-Seq on EVs.

This paper develops a rapid proteomics method using HTA protease and LC-MS to quantify blood biomarkers in under an hour.

This study shows that mutational and clonality profiles in HGSOC are established early and remain stable through therapy resistance.

This study examines how different cell storage conditions affect single-cell proteomic profiles using DIA-diaPASEF in 293T cells, finding significant changes in morphology and proteome composition.

This study shows that 17 β-estradiol reduces aortic root dilation and improves survival in Marfan male mice by inhibiting TNF-NF-κB signaling and preventing aortic smooth muscle cell inflammation.

ABDS provides tools for analyzing biologically diverse samples by addressing missing value imputation, signature gene detection, and expression pattern visualization.

This paper uses machine learning to differentiate between descending thoracic aortic diseases using plasma proteomic data, identifying key proteins and pathways associated with each condition.

This study identifies sex-based proteomic differences in iPSC-derived vascular smooth muscle cells and their potential impact on cardiovascular disease.

This study evaluates imputation methods for proteomic datasets, finding that local and global methods perform best in different contexts and that fragment-level imputation improves accuracy.

COT detects marker genes across subtypes using cosine similarity in a one-sample test, applicable to multi-omics data.

The paper introduces a method to quantify lysine and arginine PTMs in NASH using mass spectrometry and applies it to mouse liver lysates, finding altered methylation and acetylation in NASH.

MitoPlex is a targeted MS assay for quantifying 37 mitochondrial proteins, paired with a metabolite assay, showing statin effects on mitochondrial function in different tissues.

The paper analyzes the proteomic architecture of human coronary and aortic atherosclerosis using mass spectrometry data from 200 specimens, identifying key protein networks and regulatory features associated with early disease.