HOTSPOTTER

HOTSPOTTER is a computational tool designed to predict hotspots of signaling pathways in single-cell RNA-sequencing data. The tool is particularly useful in disease and aging research, where single-cell RNA sequencing is increasingly used to characterize cell subpopulation phenotypes. Despite the exponential increase in data generation, the systematic identification of key regulatory factors responsible for controlling cellular phenotype and enabling cell rejuvenation remains challenging.

HOTSPOTTER addresses this challenge by integrating signaling and transcriptional networks to identify key regulatory factors responsible for controlling cellular phenotype and pinpointing hotspots of signaling pathways. Targeted perturbation of these hotspots can enable precise control of cell subpopulation phenotypes, leading to novel cell rejuvenation strategies in the context of disease and aging.

The tool has been validated through experimental data in different cellular systems and is available as either a user-friendly web server or stand-alone software. With its ability to predict signaling hotspots based on single-cell RNA-seq data, HOTSPOTTER is a general-purpose tool for systematically predicting them.