Saptarshi Sinha

Peripheral nerve-derived extracellular vesicles are dynamically regulated in chemotherapy-induced painful peripheral neuropathy

The paper identifies and characterizes Schwann cell-derived extracellular vesicles in chemotherapy-induced neuropathy, showing changes in their proteome and function.

A Druggable G Protein Checkpoint in Cholesterol Efflux

The paper identifies GIV as a macrophage checkpoint suppressing reverse cholesterol transport and shows its inhibition restores cholesterol efflux, reducing plaque burden and systemic lipid overload.

COMPASS enables cohort-independent digital biomarker discovery and pathway quantification

The paper introduces COMPASS, a method to quantify pathway activity from gene expression without reference cohorts, showing improved consistency and robustness compared to existing methods.

A stromal-state dichotomy governs recalcitrance or remission in inflammatory bowel disease

This paper identifies two stromal states in IBD that predict clinical outcomes and shows that targeting one state can reverse disease pathology.

An Endocytic Checkpoint Controls Macrophage PD-1 Function and Immunotherapy Fate

This paper identifies GIV as a macrophage-intrinsic factor that controls PD1 endocytosis, determining durable response versus hyperprogressive disease to PD1 blockade.

A NOD2-Encoded Toggle Switch Resolves the Host-Microbe Battle Over Cyclic AMP Control

This paper identifies a host-encoded toggle switch involving NOD2 and GIV that controls cAMP levels in macrophages, converting tolerant cells into microbicidal machines to restore microbial clearance and gut barrier integrity.

Distinct Colitis-Associated Macrophages Drive NOD2-Dependent Bacterial Sensing and Gut Homeostasis

The paper identifies niColAMs as critical for IBD recovery and shows GIV-NOD2 interaction is essential for microbial sensing and gut homeostasis.

F.O.R.W.A.R.D: A Data-Driven Framework for Network-Based Target Prioritization in Drug Discovery

F.O.R.W.A.R.D is a network-based target prioritization framework that uses clinical outcomes and transcriptomic data to predict drug efficacy in IBD, achieving 100% predictive accuracy in benchmarking.

Machine Learning Identifies Signatures of Macrophage Reactivity and Tolerance that Predict Disease Outcomes

The paper identifies a 338-gene signature of macrophage reactivity and tolerance that predicts disease outcomes across diverse conditions and species.

A holistic insight of mycobacteriophage induced changes in mycobacterial cells

This study investigates mycobacteriophage D29-induced changes in mycobacterial cells using microscopy, revealing lysis mechanisms and potential programmed cell death features.

A Circuit for Secretion-coupled Cellular Autonomy in Multicellular Eukaryotes

The paper identifies a GTPase circuit that enables secretion-coupled cellular autonomy in cancer cells through feedback loops and dose response alignment of growth factor sensing and secretion.