Anindita Basu

The paper presents the Human Gut Cell Atlas v1.0, a unified reference of gut cell diversity, revealing how tissue structure influences cellular composition and enabling disease and organoid analysis.

The paper investigates whether persistent inflammation in Crohn's disease is due to environmental triggers or intrinsic epithelial changes by comparing organoid and tissue data from patients in remission.

This study shows that remodeled vessel geometry in hemodialysis patients promotes disturbed flow at pre-maturation flow rates, contributing to vascular pathologies.

This paper creates an integrated multimodal atlas of the female reproductive system across the lifespan, identifying cell types and linking them to gynaecological pathologies.

The paper introduces a microfluidic platform that traps and analyzes single cells and droplets using dielectrophoresis and Raman spectroscopy, enabling high-throughput, non-destructive cellular analysis.

The paper identifies non-responder-specific epithelial-stromal-immune ecosystems in Crohn's Disease using single-cell and spatial transcriptomics, linking them to treatment resistance.

The paper constructs a cell-type-resolved chromatin accessibility atlas in the human intestine and identifies regulatory programs and genetic variants associated with Crohn's disease.

This study uses single-cell RNA sequencing to analyze ovarian cancer histotypes and tumor sites, identifying cell compositions, marker genes, and ligand-receptor pairs in the tumor microenvironment.

This study shows that Bacteroides fragilis from UC patients promotes colitis in genetically susceptible mice, suggesting a role for pathobionts in IBD.

This study integrates single-cell epigenomics with GWAS to identify risk variants and genes for Atrial Fibrillation, highlighting key transcription factors and pathways.

This study generates single-cell RNA and ATAC sequencing data from postmenopausal human fallopian tubes and ovaries, revealing distinct cell types and regulatory landscapes with implications for gynecologic diseases.

This study identifies Hedgehog signaling as a regulator of differentiation timing through a heterochronic gene regulatory network in cardiac and neural lineages.

The paper introduces mDrop-seq, a high-throughput scRNA-seq technique for yeast species, and demonstrates its use in profiling gene expression in Saccharomyces cerevisiae and Candida albicans under various conditions.

The paper introduces FD-seq, a method for single-cell RNA sequencing of fixed cells, and applies it to study virus infection and host response in rare cell populations.

This study identifies a Hedgehog-FGF signaling axis critical for anterior mesoderm patterning during gastrulation using single-cell transcriptomics in Hh-deficient embryos.

The paper compares Drop-seq and DroNc-seq in profiling cardiomyocyte differentiation, finding similar cell types and trajectories in both methods.

DroNc-Seq enables high-throughput single nucleus RNA-seq analysis of archived brain tissues, demonstrating efficient and unbiased cell type classification in mouse and human samples.