Ekaterina Vinogradov

The landscape of cellular clearance systems across human tissues and cell types is shaped by tissue-specific proteome needs

The paper characterizes the expression and essentiality of protein clearance systems across human tissues and cell types, revealing tissue-specific regulation and a core set of stably expressed genes.

A tissue-aware machine learning framework enhances the mechanistic understanding and genetic diagnosis of Mendelian and rare diseases

This paper introduces a tissue-aware machine learning framework to improve understanding and diagnosis of Mendelian and rare diseases by leveraging tissue-specific gene mechanisms.

The landscape of molecular chaperones across human tissues reveals a layered architecture of core and variable chaperones

The paper analyzes chaperone expression across human tissues, revealing a core set of universally expressed chaperones and tissue-specific variants that contribute to disease susceptibility.