Prediction of key biological processes from intercellular DNA damage differences through model-based fitting.

ABSTRACT: DNA double-strand breaks (DSBs) occurring within the genomic DNA of mammalian cells significantly impact cell survival, depending upon their repair capacity. This study presents a mathematical model to fit fibroblast survival rates with a sequence-specific DSB burden induced by the restriction enzyme AsiSI. When cells had a sporadic DSB burden under mixed culture, cell growth showed a good fit to the Lotka-Volterra competitive equation, predicting the presence of modifying factors acting as competitive cell-to-cell interactions compared to monocultures. Under the predicted condition, we found the Acta2 gene, a known marker of cancer-associated fibroblasts, played a role in competitive interactions between cells with different DSB burdens. These data suggest that the progression to the canc

SUBMITTER: Otsuka K 

PROVIDER: S-EPMC11667071 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature