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Cited by 375

The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.

Principles and Concepts of DNA Replication in Bacteria, Archaea, and Eukarya

Open access
O'Donnell, M., Langston, L., Stillman, B.·2013·Cold Spring Harbor Perspectives in Biology

Abstract

The accurate copying of genetic information in the double helix of DNA is essential for inheritance of traits that define the phenotype of cells and the organism. The core machineries that copy DNA are conserved in all three domains of life: bacteria, archaea, and eukaryotes. This article outlines the general nature of the DNA replication machinery, but also points out important and key differences. The most complex organisms, eukaryotes, have to coordinate the initiation of DNA replication from many origins in each genome and impose regulation that maintains genomic integrity, not only for the sake of each cell, but for the organism as a whole. In addition, DNA replication in eukaryotes needs to be coordinated with inheritance of chromatin, developmental patterning of tissues, and cell division to ensure that the genome replicates once per cell division cycle.

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Metadata

Authors
O'Donnell, M., Langston, L., & Stillman, B.
Venue
Cold Spring Harbor Perspectives in Biology
Published
2013-07-01
Volume
5
Issue
7
Pages
a010108-a010108
ISSN
1943-0264 (ISSN-L)
OpenAlex
W2125003792
Cited by
375
References
56
Type
posted content
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Principles and Concepts of DNA Replication in Bacteria, Archaea, and Eukarya. https://app.cochat.ai/papers/10.1101/cshperspect.a010108
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O'Donnell, M., Langston, L., & Stillman, B. (2013). Principles and Concepts of DNA Replication in Bacteria, Archaea, and Eukarya. Cold Spring Harbor Perspectives in Biology. https://doi.org/10.1101/cshperspect.a010108

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.