SigHotSpotter

SigHotSpotter is a computational tool that predicts hotspots of signaling pathways responsible for maintaining cell subpopulation phenotypes using single-cell RNA-sequencing data. By integrating signaling and transcriptional networks, it enables the precise control of cell subpopulation phenotypes through targeted perturbation of these signaling hotspots. SigHotSpotter is user-friendly and is available as a web server or standalone software, and it correctly predicts signaling hotspots with known experimental validations in different cellular systems. The tool has the potential to facilitate the prediction of signaling hotspots and enable novel cell rejuvenation strategies in the context of disease and ageing.