↓ Skip to main content

Dnase1L3 Regulates Inflammasome-Dependent Cytokine Secretion

Overview of attention for article published in Frontiers in immunology, May 2017
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
4 X users

Citations

dimensions_citation
40 Dimensions

Readers on

mendeley
64 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Dnase1L3 Regulates Inflammasome-Dependent Cytokine Secretion
Published in
Frontiers in immunology, May 2017
DOI 10.3389/fimmu.2017.00522
Pubmed ID
Authors

Guilan Shi, Kennady N. Abbott, Wenbo Wu, Russell D. Salter, Peter A. Keyel

Abstract

Pediatric-onset systemic lupus erythematosus arises in humans and mice lacking the endonuclease Dnase1L3. When Dnase1L3 is absent, DNA from circulating apoptotic bodies is not cleared, leading to anti-DNA antibody production. Compared to early anti-DNA and anti-chromatin responses, other autoantibody responses and general immune activation in Dnase1L3(-/-) mice are greatly delayed. We investigated the possibility that immune activation, specifically inflammasome activation, is regulated by Dnase1L3. Here, we report that Dnase1L3 inhibition blocked both NLR family, pyrin domain containing 3 (NLRP3) and NLRC4 inflammasome-mediated release of high-mobility group box 1 protein and IL-1β. In contrast to IL-1β release, Dnase1L3 inhibition only mildly impaired NLRP3-dependent pyroptosis, as measured by propidium iodide uptake or LDH release. Mechanistically, we found that Dnase1L3 was needed to promote apoptosis-associated speck-like protein containing a caspase activation and recruitment domain (ASC) nuclear export and speck formation. Our results demonstrate that Dnase1L3 inhibition separates cytokine secretion from pyroptosis by targeting ASC. These findings suggest that Dnase1L3 is necessary for cytokine secretion following inflammasome activation.

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 19%
Student > Bachelor 10 16%
Researcher 9 14%
Student > Master 6 9%
Student > Postgraduate 3 5%
Other 5 8%
Unknown 19 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 17%
Agricultural and Biological Sciences 11 17%
Immunology and Microbiology 10 16%
Medicine and Dentistry 5 8%
Business, Management and Accounting 1 2%
Other 5 8%
Unknown 21 33%
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 29 May 2017.
All research outputs
#16,587,610
of 26,161,782 outputs
Outputs from Frontiers in immunology
#17,276
of 32,991 outputs
Outputs of similar age
#188,786
of 328,967 outputs
Outputs of similar age from Frontiers in immunology
#279
of 389 outputs
Altmetric has tracked 26,161,782 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 32,991 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one is in the 43rd percentile – i.e., 43% 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 328,967 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 389 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.