ScPharm: Identifying Pharmacological Subpopulations of Single Cells for Precision Medicine in Cancers.

ABSTRACT: Intratumour heterogeneity significantly hinders the efficacy of anticancer therapies. Compared with drug perturbation experiments, which yield pharmacological data at the bulk cell level, single-cell RNA sequencing (scRNA-seq) technology provides a means to capture molecular heterogeneity at single-cell resolution. Here, scPharm is introduced, a computational framework that integrates pharmacological profiles with scRNA-seq data to identify pharmacological subpopulations of cells within a tumour and prioritize tailored drugs. scPharm uses the normalized enrichment scores (NESs) determined from gene set enrichment analysis to assess the distribution of cell identity genes in drug response-determined gene lists. Based on the strong correlation between the NES and drug response at single-cell

SUBMITTER: Tian P 

PROVIDER: S-EPMC11727242 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature