{"database":"GEO","file_versions":[{"headers":{"Content-Type":["application/json"]},"body":{"files":{"Other":["ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE330nnn/GSE330134/"]},"type":"primary"},"statusCode":"OK","statusCodeValue":200}],"scores":null,"additional":{"omics_type":["Other"],"species":["Homo sapiens"],"gds_type":["Other"],"full_dataset_link":["https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE330134"],"repository":["GEO"],"entry_type":["GSE"],"additional_accession":[]},"is_claimable":false,"name":"Massively Multiplexed Sequencing-Based Host Cell Reactivation Assay Profiles DNA Repair at Single-Nucleotide and -Cell Resolution [amplicon]","description":"Defects in DNA repair are clinical biomarkers for therapeutic vulnerabilities in multiple cancer types. However, the characterization of DNA repair in cancer remains bottlenecked by a lack of reliable genomic predictors and the low throughput of existing functional assays. Here, we present mmHCR-seq, a sequencing-based and massively multiplexed Host Cell Reactivation assay that enables parallel quantification of functional repair efficiency and accuracy across all major repair pathways via RNA-seq readout. We demonstrate that mmHCR-seq can detect deficiencies and measure kinetics of nine DNA repair pathways simultaneously. The single-nucleotide resolution revealed lesion-dependent kinetics for base excision repair intermediates. By integrating mmHCR-seq with single-cell RNA-seq, we mapped repair capacity in a 19-cell line pool at cellular resolution and coupled repair phenotypes to expression states. Therein, cell cycle effects were unraveled without the need for synchronization. Overall, mmHCR-seq provides a scalable, high-resolution platform for dissecting DNA repair mechanisms and identifying new repair-associated vulnerabilities in cancer.","dates":{"publication":"2026/08/20"},"accession":"GSE330134","cross_references":{"GSM":["GSM9718999","GSM9719009","GSM9718998","GSM9718997","GSM9719008","GSM9719007","GSM9718996","GSM9719042","GSM9719041","GSM9719040","GSM9719046","GSM9719002","GSM9719001","GSM9719045","GSM9719000","GSM9719044","GSM9719043","GSM9719006","GSM9718995","GSM9719049","GSM9719005","GSM9719004","GSM9719048","GSM9719003","GSM9719047","GSM9719031","GSM9719030","GSM9719035","GSM9719034","GSM9719033","GSM9719032","GSM9719039","GSM9719038","GSM9719037","GSM9719036","GSM9719029","GSM9719060","GSM9719020","GSM9719064","GSM9719063","GSM9719062","GSM9719061","GSM9719024","GSM9719023","GSM9719022","GSM9719021","GSM9719065","GSM9719028","GSM9719027","GSM9719026","GSM9719025","GSM9719019","GSM9719018","GSM9719053","GSM9719052","GSM9719051","GSM9719050","GSM9719057","GSM9719013","GSM9719012","GSM9719056","GSM9719011","GSM9719055","GSM9719054","GSM9719010","GSM9719017","GSM9719016","GSM9719015","GSM9719059","GSM9719014","GSM9719058"],"GPL":["15520"],"GSE":["330134"],"taxon":["Homo sapiens"]}}