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23 Mendeley
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Article details
Title
SUMOylation-disrupting WAS mutation converts WASp from a transcriptional activator to a repressor of NF-κB response genes in T cells
Published in
Blood, August 2015
DOI 10.1182/blood-2015-05-646182
Pubmed ID
Authors
Abstract

In Wiskott-Aldrich syndrome (WAS), immunodeficiency and autoimmunity often co-manifest, yet how WAS mutations misregulate chromatin-signaling in Thelper (TH) cells favoring development of auto-inflammation over protective-immunity is unclear. Previously we identified an essential promoter-specific, co-activator role of nuclear-WASp in TH1 gene transcription. Here we identify SUMOylation as a novel post-translational modification of WASp, impairment of which converts nuclear-WASp from a transcriptional co-activator to a co-repressor of NF-κB-response genes in human (TH)1-differentiating cells. V75M, one of many disease-causing mutations occurring in SUMO*motif ((72)ψψψψKDxxxxSY(83)) of WASp, compromises WASp-SUMOylation, associates with COMMD1 to attenuate NF-κB-signaling, and recruits histone deacetylases-6 (HDAC6) to p300-marked promoters of NF-κB-response genes that pattern immunity but not inflammation. Consequently, proteins mediating adaptive-immunity (IFNG, STAT1, TLR1) are deficient whereas those mediating auto-inflammation (GM-CSF, TNFAIP2, IL-1β) are paradoxically increased in TH1-cells expressing SUMOylation-deficient WASp. Moreover, SUMOylation-deficient WASp favors ectopic development of TH17-like phenotype (↑IL17A, IL21, IL22, IL23R, RORC, and CSF2) under TH1-skewing conditions, suggesting a role for WASp in modulating TH1/TH17 plasticity. Notably, pan-histone deacetylase inhibitors lift promoter-specific repression imposed by SUMOylation-deficient WASp and restore misregulated gene expression. Our findings uncovering a SUMOylation-based mechanism controlling WASp's dichotomous roles in transcription may have implications for personalized therapy for patients carrying mutations that perturb WASp-SUMOylation.

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 23 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 23 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 4 17%
Researcher 3 13%
Lecturer > Senior Lecturer 2 9%
Student > Doctoral Student 2 9%
Student > Master 2 9%
Other 4 17%
Unknown 6 26%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 22%
Pharmacology, Toxicology and Pharmaceutical Science 4 17%
Agricultural and Biological Sciences 4 17%
Medicine and Dentistry 2 9%
Immunology and Microbiology 1 4%
Other 1 4%
Unknown 6 26%
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 12 August 2015.
All research outputs
#17,874,146
of 26,184,649 outputs
Outputs from Blood
#28,226
of 33,950 outputs
Outputs of similar age
#167,254
of 276,721 outputs
Outputs of similar age from Blood
#151
of 230 outputs
Altmetric has tracked 26,184,649 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 33,950 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 12th percentile – i.e., 12% 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 276,721 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 230 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.