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Mature murine megakaryocytes present antigen-MHC class I molecules to T cells and transfer them to platelets

2017· article· en· W2765241801 on OpenAlexafffund
Anne Zufferey, Edwin R. Speck, Kellie R. Machlus, Rukhsana Aslam, Li Guo, Mark J. McVey, Michael Kim, Rick Kapur, Éric Boilard, Joseph E. Italiano, John W. Semple

Bibliographic record

VenueBlood Advances · 2017
Typearticle
Languageen
FieldMedicine
TopicPlatelet Disorders and Treatments
Canadian institutionsUniversité LavalCanadian Blood ServicesUniversity of TorontoCentre hospitalier universitaire de QuébecSt. Michael's Hospital
FundersHealth CanadaHospital for Sick ChildrenChina Scholarship CouncilUniversity of TorontoCanadian Blood ServicesNational Institute of Diabetes and Digestive and Kidney DiseasesNational Heart, Lung, and Blood InstituteSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungNational Institutes of HealthNational Science Foundation
KeywordsAntigenAntigen processingCD8Cell biologyMHC class IMajor histocompatibility complexPlateletMHC restrictionMHC class IIIn vitroBiologyChemistryImmunologyMolecular biologyBiochemistry

Abstract

fetched live from OpenAlex

Key Points Megakaryocytes process and present endogenous/exogenous antigens on MHC class I molecules to activate CD8+ T cells. Megakaryocytes can transfer MHC class I molecules loaded with foreign antigen to proplatelets in vitro.

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 score0.006
Threshold uncertainty score0.019

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.002

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 head0.269
Teacher spread0.255 · 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

Citations130
Published2017
Admission routes2
Has abstractyes

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