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Does Δ133p53 isoform trigger inflammation and autoimmunity?

Overview of attention for article published in Cell Cycle, October 2014
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Article details
Title
Does Δ133p53 isoform trigger inflammation and autoimmunity?
Published in
Cell Cycle, October 2014
DOI 10.4161/cc.11.3.19054
Pubmed ID
Authors
Abstract

Autoimmune diseases are characterized by the immune system mounting a response against self. The exact etiology of autoimmune diseases and autoimmunity remain unclear. Here, we demonstrate that Δ133p53, an isoform of the tumor suppressor protein p53, is involved in the development of autoimmunity. We have previously generated a mouse model of Δ133p53 (Δ122p53). Δ122p53 mice develop an autoimmune/ inflammation-like phenotype that includes the production of autoantibodies, elevated levels of pro-inflammatory cytokines and lymphocyte aggregations in various organs. Microarray analysis reveals that expression of Δ122p53 induces a number of pro-inflammatory genes, including the STAT1 pathway and interferon-related transcription profile. Comparative genetic signatures have been observed in human SLE (systemic lupus erythematosus) patients, and we show that Δ133p53 regulates STAT1 in human cells. Our findings provide the first evidence of a role for p53 isoforms in the development of autoimmune disease.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 8 28%
Student > Ph. D. Student 5 17%
Student > Doctoral Student 3 10%
Student > Bachelor 2 7%
Researcher 2 7%
Other 2 7%
Unknown 7 24%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 34%
Medicine and Dentistry 6 21%
Agricultural and Biological Sciences 5 17%
Earth and Planetary Sciences 1 3%
Unknown 7 24%
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 14 February 2012.
All research outputs
#20,165,369
of 22,675,759 outputs
Outputs from Cell Cycle
#2,988
of 3,679 outputs
Outputs of similar age
#217,073
of 260,313 outputs
Outputs of similar age from Cell Cycle
#1,123
of 1,253 outputs
Altmetric has tracked 22,675,759 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 3,679 research outputs from this source. They receive a mean Attention Score of 3.7. 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 260,313 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 1,253 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.