Shreyan Gupta

This paper introduces a synthetic microbial therapy that enhances antitumor immunity across multiple cancer types in mice, showing durable responses and synergy with chemotherapy.

The paper identifies IL-17A, STAT1, CEBPB, and cGAS-STING as key drivers of HIV-associated neuroinflammation using HIV-infected cerebral organoids and validates findings in a primate model.

The paper introduces scPII, a metric to quantify gene perturbation impact on single-cell transcriptomic networks using gene regulatory networks, showing strong correlation with CRISPR screen results.

This paper introduces a method using Chatterjee's rank correlation to construct gene regulatory networks from scRNA-seq data, outperforming existing methods in capturing complex dependencies.

This study shows aerobic exercise reduces M1 macrophages and CD8+ T cells in EAT of female pigs, decreasing inflammation and increasing PPARγ expression.

This study introduces scSGS, a method using single-cell RNA sequencing to identify gene function by analyzing stochastic gene silencing and differentially expressed genes.

This study investigates the role of RSPO3 in estrogen-mediated sex differences in body fat distribution using single-cell RNA sequencing and spatial transcriptomics in humans and mice.

This study shows that intranasally administered EVs from hiPSC-derived NSCs reduce microglial activation and improve brain function in an Alzheimer's model.

This paper introduces spline-DV, a method to analyze variability in scRNA-seq data, identifying genes with differential expression variability in conditions like obesity and cancer.

This study uses snRNA-seq to analyze how exercise affects immune and mesenchymal cell interactions in epicardial adipose tissue of female pigs with coronary artery disease.