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Record W2115664315 · doi:10.4049/jimmunol.0904154

Stabilization of an E3 Ligase–E2–Ubiquitin Complex Increases Cell Surface MHC Class I Expression

2010· article· en· W2115664315 on OpenAlexfundno aff
Lidia M. Duncan, James A. Nathan

Bibliographic record

VenueThe Journal of Immunology · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicUbiquitin and proteasome pathways
Canadian institutionsnot available
FundersWellcome TrustUniversity of Ottawa
KeywordsUbiquitin ligaseMHC class IUbiquitinCell biologyMajor histocompatibility complexBiologyDNA ligaseEndocytosisTransporter associated with antigen processingBiochemistryCellImmune systemGeneticsEnzyme

Abstract

fetched live from OpenAlex

The Kaposi's sarcoma-associated herpesvirus-encoded ubiquitin E3 ligase K3 ubiquitinates cell-surface MHC class I molecules (MHC I), causing the internalization and degradation of MHC I via the endolysosomal pathway. K3 recruits the cellular E2 ubiquitin-conjugating enzyme Ubc13 to generate lysine-63-linked polyubiquitin chains on MHC I, leading to the clathrin-mediated endocytosis and lysosomal degradation of MHC I. In this study, we identify a ubiquitin isoleucine-44-alanine mutant (I44A) that inhibits K3-mediated downregulation of MHC I by preventing MHC I polyubiqitination. This E3-specific inhibition by I44A prevents dissociation of the MHC I-K3-Ubc13-ubiquitin complex, allows the in vivo visualization of a transient substrate-E3-E2-ubiquitin complex interaction, and highlights a potential substrate hierarchy between the different MHC I alleles downregulated by K3. The I44A mutant also increases cell-surface MHC I expression in control cells in the absence of K3, predicting the presence of an endogenous E3 ubiquitin ligase required for cell-surface MHC I regulation.

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 head0.013
GPT teacher head0.249
Teacher spread0.236 · 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

Citations19
Published2010
Admission routes1
Has abstractyes

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