<HashMap><database>GEO</database><file_versions><headers><Content-Type>application/xml</Content-Type></headers><body><files><Other>ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE330nnn/GSE330132/</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><omics_type>Transcriptomics</omics_type><species>Homo sapiens</species><gds_type>Expression profiling by high throughput sequencing</gds_type><full_dataset_link>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE330132</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Massively Multiplexed Sequencing-Based Host Cell Reactivation Assay Profiles DNA Repair at Single-Nucleotide and -Cell Resolution [scRNA]</name><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.</description><dates><publication>2026/08/20</publication></dates><accession>GSE330132</accession><cross_references><GSM>GSM9718932</GSM><GSM>GSM9718931</GSM><GPL>34281</GPL><GSE>330132</GSE><taxon>Homo sapiens</taxon></cross_references></HashMap>