Alexey Stukalov

This study evaluates how chromatographic sampling affects quantification and biological discovery in DIA proteomics, finding that statistical power and LOQ are more critical than identifications.

This study quantitatively analyzes plasma proteome changes in vaccinated individuals using a nanoparticle-based proteomic workflow, identifying proteins associated with vaccine response and COVID-19 infection.

This study identifies novel plasma biomarkers for Alzheimer's disease and related dementias using unbiased proteomics in a large cohort.

This study shows that CMTR1-mediated N1-2'O-methylation prevents antiviral recognition and regulates NVL2 mRNA splicing, affecting cell size, division, and ribosome biogenesis.

Concurrent multi-omics of SARS-CoV-2 and SARS-CoV in A549 cells, integrated by network diffusion, maps shared and virus-specific host perturbations and nominates antiviral drug hotspots.

The paper introduces dagLogo, an R/Bioconductor package for identifying and visualizing differential amino acid group usage in proteomics data, showing improved performance in detecting conserved sequence patterns.