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Record W2000517023 · doi:10.1051/medsci/2007233279

Les cellules dendritiques transfectées avec de l’ARN messager

2007· article· fr· W2000517023 on OpenAlexaff
Karine Maisnier-Patin, Sandrine Crabé, Gaëlle Breton, Franck P. Dupuy, Bader Yassine‐Diab, Rafick‐Pierre Sékaly

Bibliographic record

Venuemédecine/sciences · 2007
Typearticle
Languagefr
FieldImmunology and Microbiology
TopicImmunotherapy and Immune Responses
Canadian institutionsMcGill UniversityUniversité de MontréalHôpital Saint-Luc
Fundersnot available
KeywordsTransfectionDendritic cellImmunotherapyAntigenEpitopeBiologyAntigen-presenting cellT cellImmune systemMolecular biologyVirologyCell biologyImmunologyCell cultureGenetics

Abstract

fetched live from OpenAlex

Les cellules dendritiques, sentinelles du systèmeimmunitaire, sont des cellules spécialisées dans la capture, l’apprêtement et la présentation d’antigènes. Ces cellules ont un rôle central dans la réponse immunitaire car ce sont les seules capables d’activer les lymphocytes T naïfs et de déclencher une réponse immune primaire. La possibilité de les différencier et de les manipuler génétiquement <i>ex vivo<i/> en fait un outil de choix pour stimuler des réponses immunitaires contre des antigènes d’intérêt. C’est pourquoi les cellules dendritiques sont largement utilisées en immunothérapie anti-tumorale et anti-infectieuse.Récemment, plusieurs études ont montré que des cellules dendritiques transfectées avec des ARNm autologues tumoraux ou viraux sont capables d’induire une réponse immunitaire spécifique et efficace associée à une réponse cliniquebénéfique. Cette stratégie de vaccination très prometteuse offre une approche thérapeutique applicable à de nombreuses pathologies et, de plus, adaptée à chaque patient. Cet article fait le point sur les progrès actuels réalisés en immunothérapie anti-tumorale et anti-VIH(virus de l’immunodéficience humaine).

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
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 score0.327
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.005
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.030
GPT teacher head0.310
Teacher spread0.280 · 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; both teacher heads agree on what is shown here.

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

Citations4
Published2007
Admission routes1
Has abstractyes

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