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Cited by 259

The DOI matches its Crossref record; 75 of the 75 references it cites were found in a registry or an index.

Memory of viral infections by CRISPR-Cas adaptive immune systems: Acquisition of new information

Open access
Fineran, Peter C., Charpentier, Emmanuelle·2012·Virology

Abstract

Multiple organisms face the threat of viral infections. To combat phage invasion, bacteria and archaea have evolved an adaptive mechanism of protection against exogenic mobile genetic elements, called CRISPR-Cas. In this defense strategy, phage infection is memorized via acquisition of a short invader sequence, called a spacer, into the CRISPR locus of the host genome. Upon repeated infection, the 'vaccinated' host expresses the spacer as a precursor RNA, which is processed into a mature CRISPR RNA (crRNA) that guides an endonuclease to the matching invader for its ultimate destruction. Recent efforts have uncovered molecular details underlying the crRNA biogenesis and interference steps. However, until recently the step of adaptation had remained largely uninvestigated. In this minireview, we focus on recent publications that have begun to reveal molecular insights into the adaptive step of CRISPR-Cas immunity, which is required for the development of the heritable memory of the host against viruses.

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Metadata

Authors
Fineran, P. C., & Charpentier, E.
Venue
Virology
Publisher
Elsevier BV
Published
2012-12
Volume
434
Issue
2
Pages
202-209
ISSN
0042-6822 (ISSN-L)
OpenAlex
W2000545911
Cited by
259
References
75
FWCI
9.41
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Memory of viral infections by CRISPR-Cas adaptive immune systems: Acquisition of new information. https://app.cochat.ai/papers/10.1016/j.virol.2012.10.003
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Fineran, P. C., & Charpentier, E. (2012). Memory of viral infections by CRISPR-Cas adaptive immune systems: Acquisition of new information. Virology. https://doi.org/10.1016/j.virol.2012.10.003

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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.