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Identification of a novel motif in MARCH1 that affects the conformation and the E3 ubiquitin ligase activity (65.10)

2012· article· en· W1514574422 on OpenAlexaff
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
Fundersnot available
KeywordsUbiquitin ligaseUbiquitinCell biologyBiologyMolecular biologyChemistryGeneticsGene

Abstract

fetched live from OpenAlex

Abstract Some members of the MARCH family of RING-type E3 ubiquitin ligases target important players of immune responses. Of these, MARCH1 prevents the cell surface accumulation of MHC class II molecules and regulates antigen presentation in response to IL-10 in human primary monocytes (Thibodeau et. al., Eur JI 2008). Structure-function analysis of mouse MARCH1 showed the presence of two functional tyrosine-based endosomal sorting motifs in the C-terminal cytoplasmic part of the protein. We investigated the importance of the corresponding motifs in human MARCH1. Site-directed mutagenesis of these tyrosines did not reduce the activity of MARCH1 in transfected cells. However, a reporter molecule fused to the C-terminal cytoplasmic domain of MARCH1 was expressed less efficiently at the plasma membrane. A series of deletions were made in the C-terminal part of MARCH1 and a new functional motif was discovered. BRET experiments revealed that this motif is important for the spatial organisation of the two cytoplasmic domains of MARCH1. Interestingly, this motif is also present in others RING-type E3 ubiquitin ligases such as Parkin and its alteration is linked to the development of the disease in certain patients.

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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.018
GPT teacher head0.253
Teacher spread0.235 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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