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Caspase-1 activity affects AIM2 speck formation/stability through a negative feedback loop

Overview of attention for article published in Frontiers in Cellular and Infection Microbiology, January 2013
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Title
Caspase-1 activity affects AIM2 speck formation/stability through a negative feedback loop
Published in
Frontiers in Cellular and Infection Microbiology, January 2013
DOI 10.3389/fcimb.2013.00014
Pubmed ID
Authors

C. Juruj, V. Lelogeais, R. Pierini, M. Perret, B. F. Py, Y. Jamilloux, P. Broz, F. Ader, M. Faure, T. Henry

Abstract

The inflammasome is an innate immune signaling platform leading to caspase-1 activation, maturation of pro-inflammatory cytokines and cell death. Recognition of DNA within the host cytosol induces the formation of a large complex composed of the AIM2 receptor, the ASC adaptor and the caspase-1 effector. Francisella tularensis, the agent of tularemia, replicates within the host cytosol. The macrophage cytosolic surveillance system detects Francisella through the AIM2 inflammasome. Upon Francisella novicida infection, we observed a faster kinetics of AIM2 speck formation in ASC(KO) and Casp1(KO) as compared to WT macrophages. This observation was validated by a biochemical approach thus demonstrating for the first time the existence of a negative feedback loop controlled by ASC/caspase-1 that regulates AIM2 complex formation/stability. This regulatory mechanism acted before pyroptosis and required caspase-1 catalytic activity. Our data suggest that sublytic caspase-1 activity could delay the formation of stable AIM2 speck, an inflammasome complex associated with cell death.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
United States 1 2%
Unknown 48 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 38%
Student > Master 7 14%
Researcher 6 12%
Professor > Associate Professor 6 12%
Other 3 6%
Other 4 8%
Unknown 5 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 36%
Immunology and Microbiology 17 34%
Biochemistry, Genetics and Molecular Biology 5 10%
Medicine and Dentistry 4 8%
Unknown 6 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 24 April 2013.
All research outputs
#20,191,579
of 22,708,120 outputs
Outputs from Frontiers in Cellular and Infection Microbiology
#5,880
of 6,309 outputs
Outputs of similar age
#248,737
of 280,717 outputs
Outputs of similar age from Frontiers in Cellular and Infection Microbiology
#77
of 92 outputs
Altmetric has tracked 22,708,120 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,309 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 280,717 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.