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Record W3145881487 · doi:10.4049/jimmunol.2001253

OTUD1 Regulates Antifungal Innate Immunity through Deubiquitination of CARD9

2021· article· en· W3145881487 on OpenAlexaff
Xiaorong Chen, Honghai Zhang, Xueer Wang, Zhugui Shao, Yanqi Li, Guimin Zhao, Feng Liu, Bingyu Liu, Yi Zheng, Tian Chen, Hui Zheng, Lei Zhang, Chengjiang Gao

Bibliographic record

VenueThe Journal of Immunology · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicUbiquitin and proteasome pathways
Canadian institutionsInstitute of Infection and Immunity
FundersKey Technology Research and Development Program of ShandongNational Natural Science Foundation of China
KeywordsDeubiquitinating enzymeInnate immune systemBiologyCell biologyUbiquitinSignal transducing adaptor proteinProinflammatory cytokineRegulatorImmunitySignal transductionInnate lymphoid cellImmunologyInflammationImmune systemGeneticsGene

Abstract

fetched live from OpenAlex

Abstract CARD9 is an essential adaptor protein in antifungal innate immunity mediated by C-type lectin receptors. The activity of CARD9 is critically regulated by ubiquitination; however, the deubiquitinases involved in CARD9 regulation remain incompletely understood. In this study, we identified ovarian tumor deubiquitinase 1 (OTUD1) as an essential regulator of CARD9. OTUD1 directly interacted with CARD9 and cleaved polyubiquitin chains from CARD9, leading to the activation of the canonical NF-κB and MAPK pathway. OTUD1 deficiency impaired CARD9-mediated signaling and inhibited the proinflammatory cytokine production following fungal stimulation. Importantly, Otud1–/– mice were more susceptible to fungal infection than wild-type mice in vivo. Collectively, our results identify OTUD1 as an essential regulatory component for the CARD9 signaling pathway and antifungal innate immunity through deubiquitinating CARD9.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.015
GPT teacher head0.255
Teacher spread0.239 · 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 source (direct Gemma or distilled Codex), 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

Citations33
Published2021
Admission routes1
Has abstractyes

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