Vijay Kumar Kuchroo

immgenT creates a comprehensive T-cell molecular atlas across mouse organs and disease states, identifying 8 lineages and 107 clusters using deep generative models and integrating external datasets.

The paper identifies TCR-V gene usage patterns in T cells sorted by anti-TCR mAbs using single-cell RNAseq and finds enriched ERV1-family LTR expression in specific TRBV regions.

The paper examines T cell changes in mammary glands during pregnancy and lactation, finding an expansion of T effector cells and similarities to intestinal T cells.

This study identifies PGAM as a negative regulator of Th17 pathogenicity using single-cell RNA-seq and metabolic flux analysis.

InTraSeq is a multimodal scRNA-seq technology that simultaneously measures RNA and protein expression, revealing novel insights into Th17 cell differentiation and regulatory mechanisms.

The paper develops a genetic toolkit to study DRG neuron subtypes, revealing their molecular, morphological, and functional diversity in response to mechanical and thermal stimuli.

The paper identifies glucocorticoid-responsive molecular defects in MS T cells through cell-type-specific transcriptomic profiling and validates potential therapeutic targets.

The paper introduces Compass, an algorithm that uses single-cell RNA-Seq and flux balance analysis to characterize metabolic states in Th17 cells, revealing a metabolic switch and novel anti-inflammatory regulators.

COMET identifies gene-marker panels for cell populations from single-cell RNA-seq data, outperforming existing methods and enabling multi-gene panel prediction.