Mohan T. Bolisetty

The paper uses single-cell RNA sequencing to analyze RPE cell heterogeneity in mice, identifying six cell populations and changes in gene expression during maturation.

The paper uses scRNA-seq to classify cell types in the mouse ventral posterior hypothalamus, revealing distinct neuronal and non-neuronal populations and their spatial organization in the mammillary bodies.

The paper develops a statistical method to calculate the optimal number of cells needed to detect a rare subpopulation in scRNA-seq experiments, validated using dendritic cell and monocyte data.

The paper introduces SCV, an interactive visualization tool for single cell RNA-seq data, providing exploratory analysis and visualization options.

The paper generates a new de novo genome assembly for C57BL/6J Eve, addressing genetic drift in the reference strain and improving genomic accuracy.

This study profiles 22,469 human kidney cells to identify 27 cell types, novel markers, and interactions, highlighting endothelial cell roles in kidney disease.

The paper introduces END-seq to measure poly(A) tail lengths transcriptome-wide in yeast and shows Ccr4 and Pop2 differentially regulate these tails.

CellView provides an interactive web tool for exploring high-dimensional single cell RNA-seq data to enhance biological insights.