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Record W2102818896 · doi:10.4049/jimmunol.173.10.6143

Vesicle Size Influences the Trafficking, Processing, and Presentation of Antigens in Lipid Vesicles

2004· article· en· W2102818896 on OpenAlexaff
James M. Brewer, Kevin G. Pollock, Laurence Tetley, David G. Russell

Bibliographic record

VenueThe Journal of Immunology · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Interference and Gene Delivery
Canadian institutionsInstitute of Infection and Immunity
Fundersnot available
KeywordsEndosomePhagosomeVesicleCell biologyCompartment (ship)ChemistryIn vivoBiophysicsAntigen presentationBiologyIntracellularIn vitroBiochemistryMembrane

Abstract

fetched live from OpenAlex

Although it is accepted that particulate Ags are more immunogenic than soluble Ags in vivo, it is unclear whether this effect can be explained solely through enhanced uptake by APCs. In this study we demonstrate that vesicle size modulated the efficiency of Ag presentation by murine macrophages and that this effect was accompanied by a profound change in trafficking of Ag. Ag prepared in large particles (560 nm) was delivered into early endosome-like, immature phagosomes, whereas smaller vesicles (155 nm) and soluble Ags localized rapidly to late endosomes/lysosomes. However, peptide/class II complexes could be detected in both compartments. Phagosomes formed on uptake of large vesicles recruit Ag-processing apparatus while retaining the characteristics of early endosomes. In contrast, smaller vesicles bypassed this compartment, appeared to go more rapidly to lysosomal compartments, and exhibited reduced Ag-presenting efficiency. We conclude that the ability of phagocytosed, particulate Ag to target early phagosomes results in more efficient Ag presentation.

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 score0.208
Threshold uncertainty score0.127

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 head0.010
GPT teacher head0.257
Teacher spread0.247 · 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

Citations132
Published2004
Admission routes1
Has abstractyes

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