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Record W2140700343 · doi:10.1073/pnas.0611551104

Negative regulation of the RIG-I signaling by the ubiquitin ligase RNF125

2007· article· en· W2140700343 on OpenAlexaff
Kei‐ichiro Arimoto, Hitoshi Takahashi, Takayuki Hishiki, Hideyuki Konishi, Takashi Fujita, Kunitada Shimotohno

Bibliographic record

VenueProceedings of the National Academy of Sciences · 2007
Typearticle
Languageen
FieldImmunology and Microbiology
Topicinterferon and immune responses
Canadian institutionsUniversity of Toronto
FundersMinistry of Health, Labour and WelfareMinistry of Education, Culture, Sports, Science and Technology
KeywordsUbiquitin ligaseUbiquitinRIG-ICell biologyBiologyUbiquitin-conjugating enzymeMDA5CytokineSignal transductionGeneRNABiochemistryGeneticsRNA interference

Abstract

fetched live from OpenAlex

Retinoic acid-inducible gene I (RIG-I) plays a pivotal role in the regulation of cytokine production induced by pathogens. The RIG-I also augments the production of IFN and other cytokines via an amplification circuit. Because the production of cytokines is closely controlled, up- and down-regulation of RIG-I signaling also needs strict regulation. The mechanism of this regulation, however, remains elusive. Here, we found that RIG-I undergoes proteasomal degradation after conjugation to ubiquitin by RNF125. Further, RNF125 conjugates ubiquitin to MDA5, a family protein of RIG-I as well as IPS-1, which is also a downstream protein of RIG-I signaling that results in suppressing the functions of these proteins. Because RNF125 is enhanced by IFN, these functions constitute a negative regulatory loop circuit for IFN production.

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 score0.004

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 head0.026
GPT teacher head0.293
Teacher spread0.267 · 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

Citations470
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the National Academy of SciencesSame topicinterferon and immune responsesFrench-language works237,207