Mikhail A. Pyatnitskiy

Massive proteogenomic reanalysis of publicly available proteomic datasets of human tissues in search for protein recoding via adenosine-to-inosine RNA editing

The paper reanalyzes proteomic datasets to identify ADAR-mediated RNA editing events and finds 18 core recoded protein sites across human tissues.

Human Chr18: "Stakhanovite" Genes, Missing and uPE1 Proteins in Liver Tissue and HepG2 Cells

The paper investigates the expression of missing and uncharacterized proteins on human Chr18 in liver tissue and HepG2 cells using transcriptomic and proteomic methods, revealing discrepancies in expression levels and method dependencies.

Proteome-Wide Analysis of ADAR-mediated Messenger RNA Editing During Fruit Fly Ontogeny

The paper identifies ADAR-mediated RNA editing sites in Drosophila proteomes across developmental stages and shows editing is phase-specific and enriched in synaptic and actomyosin functions.

Universal transcriptomic signature of age reveals temporal scaling of Caenorhabditis elegans aging trajectories

The paper identifies a universal transcriptomic signature of aging in C. elegans and shows it can predict lifespan extension and drug effects.

Quantitative Characterization of Biological Age and Frailty Based on Locomotor Activity Records

The paper quantifies biological age and frailty using locomotor activity data from NHANES and UKB, linking aging trajectories to mortality and health outcomes.

Extracting biological age from biomedical data via deep learning: too much of a good thing?

This study compares biological age models using NHANES data, finding that supervised models improve age estimation but reduce mortality prediction accuracy, and introduces a new mortality risk model.