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Record W2117302579 · doi:10.1189/jlb.0506321

CD4+ T cells stimulate memory CD8+ T cell expansion via acquired pMHC I complexes and costimulatory molecules, and IL-2 secretion

2006· article· en· W2117302579 on OpenAlexafffund
Meiqing Shi, Siguo Hao, Tim Hon Man Chan, Jim Xiang

Bibliographic record

VenueJournal of Leukocyte Biology · 2006
Typearticle
Languageen
FieldImmunology and Microbiology
TopicT-cell and B-cell Immunology
Canadian institutionsSaskatchewan Cancer AgencyUniversity of Saskatchewan
FundersCanadian Institutes of Health ResearchNational Institutes of Health
KeywordsCD80Cytotoxic T cellBiologyAntigen-presenting cellCell biologyInterleukin 21IL-2 receptorNatural killer T cellT cellStreptamerCD40CD8SecretionAntigenImmune systemIn vitroImmunologyBiochemistry

Abstract

fetched live from OpenAlex

The rapid and efficient expansion of CD8(+) memory T cells after the second encounter with a pathogen constitutes a hallmark trait of adaptive immunity. Yet, the contribution of CD4(+) T cells to the expansion of memory CD8(+) T cells remains the subject of controversy. Here, we show that, antigen-specific CD4(+) T cells, once activated by dendritic cells (DC) in vitro, have the capacity to stimulate expansion of memory CD8(+) T cells in vivo. The memory CD8(+) T cell expansion triggered by active CD4(+) T cells are mediated through DC-derived MHC I/peptide complexes and CD80 molecules displayed on the active CD4(+) T cells, with the involvement of IL-2 secreted by the active CD4(+) T cells. These results highlight a previously undescribed role of active CD4(+) T cells in triggering expansion of memory CD8(+) T cells.

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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
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)0.0040.001

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 head0.009
GPT teacher head0.220
Teacher spread0.210 · 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

Citations35
Published2006
Admission routes2
Has abstractyes

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