Philip D. Charles

SoftHybrid improves single-cell proteomics data imputation by jointly modeling missingness and protein abundance, outperforming existing methods at low input and matching them at the mini-bulk level.

This study investigates how larval crowding affects seminal proteome allocation in Drosophila melanogaster males and females, finding that small males transfer more seminal proteins despite producing less overall.

The paper identifies genes associated with obesity and fat distribution using genetic and functional data, then validates their roles through CRISPR knockdown in cell lines.

The paper identifies protein networks associated with virus-permissive and hostile cellular states through multi-omics analysis, revealing discrepancies between mRNA and protein levels and the role of phosphorylation in infection control.

The paper uses proteomics and other methods to study endolysosomal changes in a goat model of atrial fibrillation, identifying upregulated pathways and specific proteins.

The paper shows KRAS mutations disrupt its interaction with LZTR1, affecting protein stability via the CUL3 ubiquitin ligase complex, contributing to oncogenesis.

The paper uses in vivo pulsed SILAC to measure protein incorporation in mice tissues, finding reduced turnover and molecular changes linked to aging.

This paper identifies attractin as a biomarker for predicting abdominal aortic aneurysm growth using integrated plasma and tissue proteomics.

The paper shows that transcriptional changes during biological rhythms do not directly affect protein levels, which remain constant due to slow turnover rates and post-translational regulation.

The paper identifies seminal fluid proteins in Drosophila melanogaster using label-free quantitative proteomics, finding novel candidates and re-evaluating previously reported proteins.