About RESIST

Cancer drug resistance remains a major challenge in oncology and is driven by complex regulatory mechanisms spanning genetic, transcriptional, post-transcriptional, and microenvironmental layers. Although single-cell and spatial transcriptomic technologies have enabled high-resolution characterization of resistant tumor states, systematic resources integrating these multi-layer regulatory features remain limited. Here, we present RESIST, a comprehensive resource for exploring cancer drug resistance using large-scale single-cell and spatial transcriptomic data. The current release integrates 81 single-cell RNA-seq datasets and 7 spatial transcriptomics datasets curated from 48 independent studies, comprising 522 single-cell samples and 96 spatial samples across 13 cancer types and 59 therapeutic regimens.

RESIST organizes analytical outputs into four functional modules: Characterization, Transcriptional, Regulatory, and Immunogenomic, enabling systematic investigation of resistance-associated cellular states, transcriptional programs, upstream regulatory mechanisms, and immune-related alterations. Through integrated analyses, RESIST enables identification of resistance-associated gene expression signatures, regulatory drivers including miRNAs and RNA-binding proteins, spatially resolved tumor–microenvironment interactions, and immunogenomic features such as alternative polyadenylation dynamics and intronic polyadenylation-derived neoantigens. RESIST provides a comprehensive platform for exploring molecular mechanisms of cancer drug resistance and facilitates hypothesis generation for therapeutic strategies and biomarker discovery.