biostudies-literatureLiu JNIBIB NIH HHSNational Cancer InstituteNCI NIH HHS167-183https://www.ebi.ac.uk/biostudies/studies/S-EPMC8271006biostudies-literatureUnknown13(7)<h4>Purpose</h4>To develop and validate a mechanism-based, mathematical model that characterizes 9L and C6 glioma cells' temporal response to single-dose radiation therapy in vitro by explicitly incorporating time-dependent biological interactions with radiation.<h4>Methods</h4>We employed time-resolved microscopy to track the confluence of 9L and C6 glioma cells receiving radiation doses of 0, 2, 4, 6, 8, 10, 12, 14 or 16 Gy. DNA repair kinetics are measured by γH2AX expression via flow cytometry. The microscopy data (814 replicates for 9L, 540 replicates for C6 at various seeding densities receiving doses above) were divided into training (75%) and validation (25%) sets. A mechanistic model was developed, and model parameters were calibrated to the training data. The model was then used Integrative biology : quantitative biosciences from nano to macroA time-resolved experimental-mathematical model for predicting the response of glioma cells to single-dose radiation therapy.PMC8271006R01CA240589R01CA186193U24CA226110R01 CA186193T32 EB001628RR160005U24 CA226110Liu JYang JBrock AEnderling HJarrett AMDavis THormuth DAMcKenna MTYankeelov TEfalseA time-resolved experimental-mathematical model for predicting the response of glioma cells to single-dose radiation therapy.<h4>Purpose</h4>To develop and validate a mechanism-based, mathematical model that characterizes 9L and C6 glioma cells' temporal response to single-dose radiation therapy in vitro by explicitly incorporating time-dependent biological interactions with radiation.<h4>Methods</h4>We employed time-resolved microscopy to track the confluence of 9L and C6 glioma cells receiving radiation doses of 0, 2, 4, 6, 8, 10, 12, 14 or 16 Gy. DNA repair kinetics are measured by γH2AX expression via flow cytometry. The microscopy data (814 replicates for 9L, 540 replicates for C6 at various seeding densities receiving doses above) were divided into training (75%) and validation (25%) sets. A mechanistic model was developed, and model parameters were calibrated to the training data. The model was then used 2021-01-01T00:00:00Z2021 Jul2025-04-04T20:15:40.825Z2025-04-04T20:15:40.825ZS-EPMC82710063406061310.1093/intbio/zyab010