A quantitative modelling approach for DNA repair on a population scale.

ABSTRACT: The great advances of sequencing technologies allow the in vivo measurement of nuclear processes-such as DNA repair after UV exposure-over entire cell populations. However, data sets usually contain only a few samples over several hours, missing possibly important information in between time points. We developed a data-driven approach to analyse CPD repair kinetics over time in Saccharomyces cerevisiae. In contrast to other studies that consider sequencing signals as an average behaviour, we understand them as the superposition of signals from independent cells. By motivating repair as a stochastic process, we derive a minimal model for which the parameters can be conveniently estimated. We correlate repair parameters to a variety of genomic features that are assumed to influence repair, i

SUBMITTER: Zeitler L 

PROVIDER: S-EPMC9499311 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature