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Hal
Article . 2017
Data sources: Hal
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Current Opinion in Microbiology
Article . 2017 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
http://dx.doi.org/10.1016/j.mi...
Article
License: Elsevier TDM
Data sources: Sygma
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Using CRISPR-Cas systems as antimicrobials

Authors: Bikard, David; Barrangou, Rodolphe;

Using CRISPR-Cas systems as antimicrobials

Abstract

Although CRISPR-Cas systems naturally evolved to provide adaptive immunity in bacteria and archaea, Cas nucleases can be co-opted to target chromosomal sequences rather than invasive genetic elements. Although genome editing is the primary outcome of self-targeting using CRISPR-based technologies in eukaryotes, self-targeting by CRISPR is typically lethal in bacteria. Here, we discuss how DNA damage introduced by Cas nucleases in bacteria can efficiently and specifically lead to plasmid curing or drive cell death. Specifically, we discuss how various CRISPR-Cas systems can be engineered and delivered using phages or phagemids as vectors. These principles establish CRISPR-Cas systems as potent and programmable antimicrobials, and open new avenues for the development of CRISPR-based tools for selective removal of bacterial pathogens and precise microbiome composition alteration.

Country
France
Keywords

DNA, Bacterial, Biological Products, Microbial Viability, Anti-Infective Agents, Transformation, Bacterial, [SDV.MP.BAC] Life Sciences [q-bio]/Microbiology and Parasitology/Bacteriology, CRISPR-Cas Systems, DNA Cleavage, Genetic Engineering, Plasmids

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    122
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
122
Top 1%
Top 10%
Top 1%
Green
bronze