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Orcid Publication

Detalle de: Transcription Initiation Activity Sets Replication Origin Efficiency in Mammalian Cells

Title Transcription Initiation Activity Sets Replication Origin Efficiency in Mammalian Cells
Abstract

Genomic mapping of DNA replication origins (ORIs) in mammals provides a powerful means for understanding the regulatory complexity of our genome. Here we combine a genome-wide approach to identify preferential sites of DNA replication initiation at 0.4% of the mouse genome with detailed molecular analysis at distinct classes of ORIs according to their location relative to the genes. Our study reveals that 85% of the replication initiation sites in mouse embryonic stem (ES) cells are associated with transcriptional units. Nearly half of the identified ORIs map at promoter regions and, interestingly, ORI density strongly correlates with promoter density, reflecting the coordinated organisation of replication and transcription in the mouse genome. Detailed analysis of ORI activity showed that CpG island promoter-ORIs are the most efficient ORIs in ES cells and both ORI specification and firing efficiency are maintained across cell types. Remarkably, the distribution of replication initiation sites at promoter-ORIs exactly parallels that of transcription start sites (TSS), suggesting a co-evolution of the regulatory regions driving replication and transcription. Moreover, we found that promoter-ORIs are significantly enriched in CAGE tags derived from early embryos relative to all promoters. This association implies that transcription initiation early in development sets the probability of ORI activation, unveiling a new hallmark in ORI efficiency regulation in mammalian cells.

Apa Reference Sequeira-Mendes, J., Díaz-Uriarte, R., Apedaile, A., Huntley, D., Brockdorff, N., & Gómez, M. (2009). Transcription Initiation Activity Sets Replication Origin Efficiency in Mammalian Cells. PLoS Genetics, 5(4), e1000446. 10.1371/journal.pgen.1000446
Doi 10.1371/journal.pgen.1000446
Publication Date 10 Apr 2009
Publication Type Article
Researcher Ramon Díaz Uriarte
Ontology Genomics, Regulatory biology
Research Groups Bioinformatics and Computational Biology in Cancer Evolution
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