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ZENODO
Article . 2013
License: CC BY NC ND
Data sources: ZENODO
Briefings in Functional Genomics
Article . 2013 . Peer-reviewed
Data sources: Crossref
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Functional genomics of intracellular bacteria

Authors: de Barsy, Marie; Greub, Gilbert;

Functional genomics of intracellular bacteria

Abstract

During the genomic era, a large amount of whole-genome sequences accumulated, which identified many hypothetical proteins of unknown function. Rapidly, functional genomics, which is the research domain that assign a function to a given gene product, has thus been developed. Functional genomics of intracellular pathogenic bacteria exhibit specific peculiarities due to the fastidious growth of most of these intracellular micro-organisms, due to the close interaction with the host cell, due to the risk of contamination of experiments with host cell proteins and, for some strict intracellular bacteria such as Chlamydia, due to the absence of simple genetic system to manipulate the bacterial genome. To identify virulence factors of intracellular pathogenic bacteria, functional genomics often rely on bioinformatic analyses compared with model organisms such as Escherichia coli and Bacillus subtilis. The use of heterologous expression is another common approach. Given the intracellular lifestyle and the many effectors that are used by the intracellular bacteria to corrupt host cell functions, functional genomics is also often targeting the identification of new effectors such as those of the T4SS of Brucella and Legionella.

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Keywords

Proteomics, Brucella/genetics, Legionella/genetics, Brucella/metabolism, Chlamydia/metabolism, Bacteria, Chlamydia/genetics, Legionella, Genome, Bacterial/genetics, Genomics, Bacteria/genetics, Brucella, Genomics/methods, Legionella/metabolism, Bacteria/metabolism, Proteomics/methods, Chlamydia, Genome, Bacterial

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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!
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