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A novel role for blood endothelial cells in the development and maintenance of immune memory (110.17)

2012· article· en· W1521245523 on OpenAlexaff
Stephanie L. Swift, Jennifer Bassett, Jonathan L. Bramson

Bibliographic record

VenueThe Journal of Immunology · 2012
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune responses and vaccinations
Canadian institutionsMcMaster UniversityMcMaster University Medical Centre
Fundersnot available
KeywordsImmunologyBiologyPopulationCD8EffectorImmune systemAntigenCytotoxic T cellT cellCell biologyMedicineGenetics

Abstract

fetched live from OpenAlex

Abstract Vaccination with recombinant human adenovirus serotype 5 (rHuAd5) drives a CD8+ T cell response that is dominated by effector and effector memory cells. In investigating the immunobiological mechanisms that result in this effector-skewed response, we previously showed that non-haematopoietic cells play a key role in defining the rHuAd5-elicited CD8+ T cell memory population. Furthermore, maintenance of this memory population relies upon sustained transgene expression from the adenovirus vector. While we know that following vaccination rHuAd5 drains to local lymph nodes, long-term antigen persistence occurs outside this location, since surgical removal of these nodes does not impact the nature of the memory response. Here, we show that following intramuscular vaccination, the adenovirus transgene is predominantly detected in the perinodal adipose tissue, in addition to draining lymph nodes and the muscle injection site itself. In all three locations, blood endothelial cells are the primary cell type that express the adenovirus-encoded antigen, strongly indicating that this radio-resistant cell population may have a role in presenting antigen to CD8+ T cells and ultimately in defining the memory response. Long-term antigen presentation from this cell compartment may represent a mechanism to sustain CD8+ T cell memory within the circulation and to ensure adequate protective immunity is maintained in multiple organs.

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)0.002
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 score0.088
Threshold uncertainty score0.276

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.012
GPT teacher head0.234
Teacher spread0.222 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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