A Web Server for Drug Response Prediction using scRNA-seq Data
Funding Agency: Infosys Centre for AI (CAI)
Start Date: 2021-01-01 Duration: 2023-12-31
PI: Debarka Sengupta
Single cell RNA sequencing (scRNA-seq) technologies have refined our appreciation for intra and inter tumoral heterogeneity across cancer types. While scRNA-seq has been adopted as a method of choice for a large number of clinical studies, we are yet to exploit it fully for making patient-specific treatment decisions by factoring in Intra-Tumoral-Heterogeneity (ITH). To cater to this need, we will develop a prediction webserver to enable systematic interrogation of intratumoral heterogeneity using scRNA-seq data to arrive at subclonal drug response inferences. Researchers will be able to use this webserver to explain drug resistance in PDX models, cell-lines, and patient tumors. Clinicians, who benchmark scRNA-Seq data for treatment decision making, will also use the proposed platform as a Clinical Decision Support System (CDSS) for sub-clonal drug-response analysis.