{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Liberal FDCG"],"funding":["UK Research and Innovation"],"pagination":["7861"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10178060"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["24(9)"],"pubmed_abstract":["Intrinsic radiosensitivity is a major determinant of radiation response. Despite the extensive amount of radiobiological data available, variability among different studies makes it very difficult to produce high-quality radiosensitivity biomarkers or predictive models. Here, we characterize a panel of 27 human cell lines, including those derived from lung cancer, prostate cancer, and normal tissues. In addition, we used CRISPR-Cas9 to generate a panel of lines with known DNA repair defects. These cells were characterised by measuring a range of biological features, including the induction and repair of DNA double-strand breaks (DSBs), cell cycle distribution, ploidy, and clonogenic survival following X-ray irradiation. These results offer a robust dataset without inter-experimental variab"],"journal":["International journal of molecular sciences"],"pubmed_title":["Characterization of Intrinsic Radiation Sensitivity in a Diverse Panel of Normal, Cancerous and CRISPR-Modified Cell Lines."],"pmcid":["PMC10178060"],"funding_grant_id":["MR/T021721/1"],"pubmed_authors":["McMahon SJ","Liberal FDCG"],"additional_accession":[]},"is_claimable":false,"name":"Characterization of Intrinsic Radiation Sensitivity in a Diverse Panel of Normal, Cancerous and CRISPR-Modified Cell Lines.","description":"Intrinsic radiosensitivity is a major determinant of radiation response. Despite the extensive amount of radiobiological data available, variability among different studies makes it very difficult to produce high-quality radiosensitivity biomarkers or predictive models. Here, we characterize a panel of 27 human cell lines, including those derived from lung cancer, prostate cancer, and normal tissues. In addition, we used CRISPR-Cas9 to generate a panel of lines with known DNA repair defects. These cells were characterised by measuring a range of biological features, including the induction and repair of DNA double-strand breaks (DSBs), cell cycle distribution, ploidy, and clonogenic survival following X-ray irradiation. These results offer a robust dataset without inter-experimental variab","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Apr","modification":"2025-04-04T13:51:17.36Z","creation":"2025-04-04T13:51:17.36Z"},"accession":"S-EPMC10178060","cross_references":{"pubmed":["37175568"],"doi":["10.3390/ijms24097861"]}}