<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/GSE330134/</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><omics_type>Other</omics_type><species>Homo sapiens</species><gds_type>Other</gds_type><full_dataset_link>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE330134</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 [amplicon]</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>GSE330134</accession><cross_references><GSM>GSM9718999</GSM><GSM>GSM9719009</GSM><GSM>GSM9718998</GSM><GSM>GSM9718997</GSM><GSM>GSM9719008</GSM><GSM>GSM9719007</GSM><GSM>GSM9718996</GSM><GSM>GSM9719042</GSM><GSM>GSM9719041</GSM><GSM>GSM9719040</GSM><GSM>GSM9719046</GSM><GSM>GSM9719002</GSM><GSM>GSM9719001</GSM><GSM>GSM9719045</GSM><GSM>GSM9719000</GSM><GSM>GSM9719044</GSM><GSM>GSM9719043</GSM><GSM>GSM9719006</GSM><GSM>GSM9718995</GSM><GSM>GSM9719049</GSM><GSM>GSM9719005</GSM><GSM>GSM9719004</GSM><GSM>GSM9719048</GSM><GSM>GSM9719003</GSM><GSM>GSM9719047</GSM><GSM>GSM9719031</GSM><GSM>GSM9719030</GSM><GSM>GSM9719035</GSM><GSM>GSM9719034</GSM><GSM>GSM9719033</GSM><GSM>GSM9719032</GSM><GSM>GSM9719039</GSM><GSM>GSM9719038</GSM><GSM>GSM9719037</GSM><GSM>GSM9719036</GSM><GSM>GSM9719029</GSM><GSM>GSM9719060</GSM><GSM>GSM9719020</GSM><GSM>GSM9719064</GSM><GSM>GSM9719063</GSM><GSM>GSM9719062</GSM><GSM>GSM9719061</GSM><GSM>GSM9719024</GSM><GSM>GSM9719023</GSM><GSM>GSM9719022</GSM><GSM>GSM9719021</GSM><GSM>GSM9719065</GSM><GSM>GSM9719028</GSM><GSM>GSM9719027</GSM><GSM>GSM9719026</GSM><GSM>GSM9719025</GSM><GSM>GSM9719019</GSM><GSM>GSM9719018</GSM><GSM>GSM9719053</GSM><GSM>GSM9719052</GSM><GSM>GSM9719051</GSM><GSM>GSM9719050</GSM><GSM>GSM9719057</GSM><GSM>GSM9719013</GSM><GSM>GSM9719012</GSM><GSM>GSM9719056</GSM><GSM>GSM9719011</GSM><GSM>GSM9719055</GSM><GSM>GSM9719054</GSM><GSM>GSM9719010</GSM><GSM>GSM9719017</GSM><GSM>GSM9719016</GSM><GSM>GSM9719015</GSM><GSM>GSM9719059</GSM><GSM>GSM9719014</GSM><GSM>GSM9719058</GSM><GPL>15520</GPL><GSE>330134</GSE><taxon>Homo sapiens</taxon></cross_references></HashMap>