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Record W2996746644 · doi:10.1016/j.celrep.2019.11.028

DeSUMOylase SENP7-Mediated Epithelial Signaling Triggers Intestinal Inflammation via Expansion of Gamma-Delta T Cells

2019· article· en· W2996746644 on OpenAlexfundno aff
Aamir Suhail, Zaigham Abbas Rizvi, Prabhakar Mujagond, Syed Azmal Ali, Preksha Gaur, Mukesh Kumar Singh, Vineet Ahuja, Amit Awasthi, Chittur V. Srikanth

Bibliographic record

VenueCell Reports · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicUbiquitin and proteasome pathways
Canadian institutionsnot available
FundersThe Wellcome Trust DBT India AllianceM.S.I. FoundationWellcome TrustCenter for Outcomes Research and Evaluation, Yale School of Medicine
KeywordsDownregulation and upregulationInflammationInflammatory bowel diseaseProinflammatory cytokineImmunologyGene knockdownCell biologyBiologyCancer researchMedicineDiseaseCell culturePathology

Abstract

fetched live from OpenAlex

Inflammatory bowel disease (IBD) is a complex autoimmune disorder recently shown to be associated with SUMOylation, a post-translational modification mechanism. Here, we have identified a link between epithelial deSUMOylases and inflammation in IBD. DeSUMOylase SENP7 was seen to be upregulated specifically in intestinal epithelial cells in both human IBD and a mouse model. In steady state, but not IBD, SENP7 expression was negatively regulated by a direct interaction and ubiquitination by SIAH2. Upregulated SENP7 in inflamed tissue displayed a distinct interactome. These changes led to an expansion of localized proinflammatory γδ T cells. Furthermore, in vivo knockdown of SENP7 or depletion of γδ T cells abrogated dextran sulfate sodium (DSS)-induced gut inflammation. Strong statistical correlations between upregulated SENP7 and high clinical disease indices were observed in IBD patients. Overall, our data reveal that epithelial SENP7 is necessary and sufficient for controlling gut inflammation, thus highlighting its importance as a potential drug target.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.676

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.213
Teacher spread0.205 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations42
Published2019
Admission routes1
Has abstractyes

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