Olga Shevchuk

msiFlow 2.0 improves MSI data analysis with mass recalibration, lipid annotation, batch correction, and scalability, enhancing accuracy and reducing runtime.

The paper integrates kidney and urine proteomics with peptidomics and machine learning to identify encrypted antimicrobial peptides as functional effectors in human pyelonephritis.

This study identifies lactate as a metabolic driver of CD163+ macrophage polarization in human pyelonephritis, linking lactate metabolism to immune dysfunction.

This study shows that neutralizing extracellular histones reduces secondary brain injury and improves recovery after ischemic stroke complicated by pneumonia.

The paper identifies TSP1/TGF-β1 as a key driver of neutrophil swarming through arachidonic acid metabolism in a urinary tract infection model.

This study shows that heartbeat sound activates PIEZO channels in astrocytes, promoting extracellular matrix synthesis and neural differentiation in human brain organoids.

msiFlow automates and streamlines multimodal mass spectrometry imaging and immunofluorescence data analysis to enhance reproducibility and scalability in biological research.

This study identifies proteomic adaptations in human pyelonephritis, revealing elevated antimicrobial peptides and their potential protective role against systemic inflammation.