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Record W2554766129 · doi:10.71781/28147

Études du ciblage intracellulaire des molécules non classiques du complexe majeur d'histocompatibilité de classe II

2005· dissertation· fr· W2554766129 on OpenAlexfundaboutno aff
Alexandre Brunet

Bibliographic record

VenueOpen MIND · 2005
Typedissertation
Languagefr
FieldMedicine
TopicCell Adhesion Molecules Research
Canadian institutionsnot available
FundersMedical Research CouncilDirectorate for Biological SciencesMedical Research Council CanadaCanadian Institutes of Health ResearchCancer Research Society
KeywordsChemistryPhysicsPhilosophyMolecular biologyBiology

Abstract

fetched live from OpenAlex

Motif di-leucine MIIC Chaîne Invariante Exosomes vi SUMMARY HLA-DM and HLA-DO are non-classical MHC class II molecules that modulate the loading of antigenic peptides on molecules such as HLA-DR in B ceils.HLA-DM catalyzes the peptide exchange and HLA-DO influences the peptide repertoire by negatively modulating the activity of HLA-DM.Peptide exchange occurs in class II-rich compartments of the endocytic pathway where they both accumulate.These compartments include multivesicular bodies in which HLA-DR and -DM interact at the level of the internai membranes.Although the targeting of HLA-DO to endosomal compartments is attributed to sorting information within DM cytoplasmic tau, we have investigated the presence of consensus sorting signais within the cytoplasmic domains of HLA DO.HLA-DR!DO chimeric and mutagenic molecuies were transfected into HeLa ceils.Our resuits show the presence of a functionai sorting motif within the beta chain.Interestingly, these resuits suggested that DO can modify DM sorting within endosomal compartments.This hypothesis was later demonstrated by others and prompted us to study the regulation of MVB/exosomal sorting of MHC moiecuies.Mature peptide-loaded HLA-DR moiecuies end-up at the ceil surface but aiso accumulate in exosomai vesicies.These small structures are shed presumably through the fusion of muitivesicuiar bodies with the plasma membrane and are obtained by high speed centrifugation of the culture medium.Despite their co localization with HLA-DR in MHC II-rich compartments, the presence of HLA-DM in exosomes remains to be demonstrated.In the second part of this work, we show by immunoblot that DM is present in exosomal fractions of the 721.45B lymphobiastoid celi une.A similar conclusion was reached when looking at exosomes from HeLa ceils transfected with CIITA.To gain insight into the intracellular mechanisms regulating exosome entry and cargo retention, HLA-DM was transfected into HeLa ceils.Interestingly, in these conditions, vii DM was excluded from exosomes.However, it was found in exosomes when its YXXL sorting motif was inactivated by site-directed mutagenesis or following co-expression of HLA-DR.Altogether, these resuits demonstrate that sorting signais in the cytoplasmic domains of transmembrane proteins can regulate exosome entry and raise the intriguing possibility that protein-protein interactions can moduiate the activity of such signais.xlii 4.1.7Ciblage du complexe DM-DO à la membrane limitante des MVBs17$ 4.1.7.1 Voie de transport du complexe DM/DO 17$ 4.1.7.2 Les motifs de ciblage de D0f3 17$ 4.1.7.3 Transport endosornique spécialisé 179 4.1.7.4 Rôle de HLA-DO dans le ciblage exosomale 180 4.2 Gestion du ciblage de HLA-DM aux exosomes par HLA-DR 180 4.2.1 Présence de HLA-DM aux fractions exosomales 181 4.2.2Absence de HLA-DM dans les exosomes des cellules HeLa DM.5 182 4.2.3Ciclage de HLA-DM aux exosornes par HLA-DR 182 4.2.4Rétention de HLA-DM à la membrane limitante du MVB et proscription de son entrée dans les membranes exosomales 183 4.2.5 Masquage du motif YXXL de HLA-DM 184 4.2.6 Intégration au radeau lipidique 184 4.2.6 Voie de ciblage indépendante de l'ubiquitine 185 4.2.7 Exosomes et dissémination de l'information antigénique 186 4.2.8Fonction de HLA-DO dans les membranes exosomales 18$ C II4.PI1RE 5 -. ....

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)0.001
metaresearch head score (Gemma)0.002
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 score0.036
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.046
GPT teacher head0.353
Teacher spread0.307 · 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
Published2005
Admission routes2
Has abstractyes

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Same venueOpen MIND→Same topicCell Adhesion Molecules Research→French-language works237,207→