Yuriy Baglaenko

The paper introduces TCAT, a pipeline to annotate T-cell GEPs, identifying 46 reproducible programs across diverse tissues and diseases.

The paper uses CRISPR editing and multimodal single-cell sequencing to identify the functional effects of disease variants in primary human cells.

This study identifies eQTLs in psoriatic skin that are modulated by local inflammation, showing that gene regulation is primarily influenced by skin-specific factors rather than systemic variables.

The paper identifies a non-coding variant that increases ICOS expression, leading to more T peripheral helper cells and contributing to autoimmune diseases.

The paper identifies state-dependent eQTLs in memory T cells by analyzing single-cell RNA and protein data from Peruvians, showing that gene regulation varies with cell states and disease-associated variants are enriched in these contexts.

The paper identifies dynamic allele-specific expression changes in T cell activation, particularly in HLA genes, showing regulatory effects linked to autoimmune risk.

Harmony alternates diversity-penalized soft clustering with cluster-specific linear correction of PCA embeddings, integrating single-cell datasets over multiple covariates and handling 500,000 cells in 7.2GB of memory.

The paper identifies a genetic variant on 3q23 associated with early progression from Mycobacterium tuberculosis exposure to active tuberculosis in Peruvians, showing higher heritability than general TB susceptibility.