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The SCID Mouse Model for Identifying Virulence Determinants in Coxiella burnetii

Overview of attention for article published in Frontiers in Cellular and Infection Microbiology, February 2017
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  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

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2 X users
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1 peer review site

Citations

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34 Dimensions

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33 Mendeley
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Title
The SCID Mouse Model for Identifying Virulence Determinants in Coxiella burnetii
Published in
Frontiers in Cellular and Infection Microbiology, February 2017
DOI 10.3389/fcimb.2017.00025
Pubmed ID
Authors

Erin J. van Schaik, Elizabeth D. Case, Eric Martinez, Matteo Bonazzi, James E. Samuel

Abstract

Coxiella burnetii is an intracellular, zoonotic pathogen that is the causative agent of Q fever. Infection most frequently occurs after inhalation of contaminated aerosols, which can lead to acute, self-limiting febrile illness or more serve chronic infections such as hepatitis or endocarditis. Macrophages are the principal target cells during infection where C. burnetii resides and replicates within a unique phagolysosome-like compartment, the Coxiella-containing vacuole (CCV). The first virulence determinant described as necessary for infection was full-length lipopolysaccarride (LPS); spontaneous rough mutants (phase II) arise after passage in immuno-incompetent hosts. Phase II C. burnetii are attenuated in immuno-competent animals, but are fully capable of infecting a variety of host cells in vitro. A clonal strain of the Nine Mile isolate (RSA439, clone 4), has a 26 KDa chromosomal deletion that includes LPS biosynthetic genes and is uniquely approved for use in BL2/ABL2 conditions. With the advances of axenic media and genetic tools for C. burnetii research, the characterization of novel virulence determinants is ongoing and almost exclusively performed using this attenuated clone. A major problem with predicting essential virulence loci with RSA439 is that, although some cell-autonomous phenotypes can be assessed in tissue culture, no animal model for assessing pathogenesis has been defined. Here we describe the use of SCID mice for predicting virulence factors of C. burnetii, in either independent or competitive infections. We propose that this model allows for the identification of mutations that are competent for intracellular replication in vitro, but attenuated for growth in vivo and predict essential innate immune responses modulated by the pathogen during infection as a central pathogenic strategy.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 24%
Student > Ph. D. Student 6 18%
Student > Doctoral Student 3 9%
Student > Master 3 9%
Professor 2 6%
Other 4 12%
Unknown 7 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 18%
Immunology and Microbiology 5 15%
Veterinary Science and Veterinary Medicine 4 12%
Agricultural and Biological Sciences 4 12%
Medicine and Dentistry 3 9%
Other 4 12%
Unknown 7 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 July 2018.
All research outputs
#14,045,457
of 22,950,943 outputs
Outputs from Frontiers in Cellular and Infection Microbiology
#2,454
of 6,462 outputs
Outputs of similar age
#222,852
of 420,783 outputs
Outputs of similar age from Frontiers in Cellular and Infection Microbiology
#42
of 113 outputs
Altmetric has tracked 22,950,943 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,462 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has gotten more attention than average, scoring higher than 57% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 420,783 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 113 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.