Modeling genome-wide replication kinetics reveals a mechanism for regulation of replication timing.

ABSTRACT: Microarrays are powerful tools to probe genome-wide replication kinetics. The rich data sets that result contain more information than has been extracted by current methods of analysis. In this paper, we present an analytical model that incorporates probabilistic initiation of origins and passive replication. Using the model, we performed least-squares fits to a set of recently published time course microarray data on Saccharomyces cerevisiae. We extracted the distribution of firing times for each origin and found that the later an origin fires on average, the greater the variation in firing times. To explain this trend, we propose a model where earlier-firing origins have more initiator complexes loaded and a more accessible chromatin environment. The model demonstrates how initiation can

SUBMITTER: Yang SC 

PROVIDER: S-EPMC2950085 | biostudies-literature | 2010 Aug

REPOSITORIES: biostudies-literature