Yana Demyanenko

This study shows that RSV forms condensates by pre-assembling replication centers within viral particles, explaining infection heterogeneity and enabling efficient replication without requiring pre-existing condensates.

This paper develops a high-throughput method to discover a novel photochemical reaction for editing protein side chains and using it to probe protein function through combined photochemical and photophysical approaches.

The paper evaluates nonporous C-18 stationary phases in proteomics workflows, finding they provide comparable or superior performance to traditional porous particles in separation and sensitivity.

This paper introduces FIRESCAPE, a radiolabeling method to study extracellular histone H3 clearance and effects, revealing distinct behaviors compared to intact nucleosomes.

This study identifies 283 RNA-binding proteins whose activity changes in tick cells infected with Uukuniemi virus, revealing new host-virus interactions and a method to silence gene expression in tick cultures.

This study identifies RNA-binding proteins regulated by type I IFN, revealing a new layer of antiviral response involving post-translational regulation of RNA binding.

The paper develops a deep learning model that integrates multiple fragmentation techniques into standard LC-MS workflows, improving proteome coverage and identification rates.

The paper develops a method to efficiently remove over-labelled peptides in proteomics samples, improving identification rates and quantitation precision.

The paper describes a 2D chromatography system for proteomics that improves coverage and intensity with nanogram-scale samples, showing benefits for phosphoproteomics and pull-down experiments.