Efficient, quick and easy-to-use DNA replication timing analysis with START-R suite

Author:

Hadjadj Djihad1,Denecker Thomas2ORCID,Guérin Eva1,Kim Su-Jung1,Fauchereau Fabien1,Baldacci Giuseppe1ORCID,Maric Chrystelle1ORCID,Cadoret Jean-Charles1ORCID

Affiliation:

1. Pathologies de la Réplication de l’ADN, Université de Paris; Institut Jacques-Monod, UMR7592, CNRS, F-75006 Paris, France

2. Institut de Biologie Intégrative de la Cellule, UMR9198, CNRS, Université Paris-Saclay, Université Paris-Sud, F-91405 Orsay, France

Abstract

Abstract DNA replication must be faithful and follow a well-defined spatiotemporal program closely linked to transcriptional activity, epigenomic marks, intranuclear structures, mutation rate and cell fate determination. Among the readouts of the spatiotemporal program of DNA replication, replication timing analyses require not only complex and time-consuming experimental procedures, but also skills in bioinformatics. We developed a dedicated Shiny interactive web application, the START-R (Simple Tool for the Analysis of the Replication Timing based on R) suite, which analyzes DNA replication timing in a given organism with high-throughput data. It reduces the time required for generating and analyzing simultaneously data from several samples. It automatically detects different types of timing regions and identifies significant differences between two experimental conditions in ∼15 min. In conclusion, START-R suite allows quick, efficient and easier analyses of DNA replication timing for all organisms. This novel approach can be used by every biologist. It is now simpler to use this method in order to understand, for example, whether ‘a favorite gene or protein’ has an impact on replication process or, indirectly, on genomic organization (as Hi-C experiments), by comparing the replication timing profiles between wild-type and mutant cell lines.

Funder

La Ligue Nationale Contre le Cancer

GEFLUC

Institut National Du Cancer

IDEX Université de Paris

Publisher

Oxford University Press (OUP)

Subject

General Medicine

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