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Record W2151532924 · doi:10.4049/jimmunol.1102708

Autoregulation of MARCH1 Expression by Dimerization and Autoubiquitination

2012· article· en· W2151532924 on OpenAlexafffund
Marie‐Claude Bourgeois‐Daigneault, Jacques Thibodeau

Bibliographic record

VenueThe Journal of Immunology · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicUbiquitin and proteasome pathways
Canadian institutionsUniversité de Montréal
FundersCanadian Institutes of Health ResearchGenentech
KeywordsUbiquitinChemistryMutantCell biologyTransfectionEctopic expressionImmunoprecipitationUbiquitin ligaseDownregulation and upregulationMolecular biologyGeneBiologyBiochemistry

Abstract

fetched live from OpenAlex

Some members of the membrane-associated RING-CH family of E3 ubiquitin ligases (MARCHs) are membrane-bound and target major players of the immune response. MARCH1 ubiquitinates and downregulates MHC class II expression in APCs. It is induced by IL-10 and despite a strong increase in mRNA expression in human primary monocytes, the protein remains hardly detectable. To gain insights into the posttranslational regulation of MARCH1, we investigated whether its expression is itself regulated by ubiquitination. Our results demonstrate that MARCH1 is ubiquitinated in transfected human cell lines. Polyubiquitin chain-specific Abs revealed the presence of K48-linked polyubiquitin chains. A mutant devoid of lysine residues in the N- and C-terminal regions was less ubiquitinated and had a prolonged half-life. Reduced ubiquitination was also observed for an inactive mutated form of the molecule (M1WI), suggesting that MARCH1 is capable of autoubiquitination. Immunoprecipitation and energy transfer experiments demonstrated that MARCH1 homodimerizes and also forms heterodimers with others family members. Coexpression of MARCH1 decreased the protein levels of the inactive M1WI, suggesting a transubiquitination process. Taken together, our results suggest that MARCH1 may regulate its own expression through dimerization and autoubiquitination.

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 score0.020
Threshold uncertainty score0.145

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 head0.009
GPT teacher head0.235
Teacher spread0.227 · 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

Citations49
Published2012
Admission routes2
Has abstractyes

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