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Record W1948682041 · doi:10.4049/jimmunol.0802771

Dendritic Cells and Monocyte/Macrophages That Create the IL-6/APRIL-Rich Lymph Node Microenvironments Where Plasmablasts Mature

2009· article· en· W1948682041 on OpenAlexaff
Elodie Mohr, Karine Serre, Rudolf A. Manz, Adam F. Cunningham, Mahmood Khan, Deborah Hardie, Roger Bird, Ian C. M. MacLennan

Bibliographic record

VenueThe Journal of Immunology · 2009
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmunotherapy and Immune Responses
Canadian institutionsArthritis Research Centre of Canada
FundersMedical Research CouncilDeutsche Forschungsgemeinschaft
KeywordsCD11cLymph nodeFollicular dendritic cellsMyeloidBiologyDendritic cellMedullary cavityLymphCell biologyMonocyteHistiocyteMacrophageT cellImmunologyPathologyImmune systemAntigen-presenting cellMedicineAnatomy

Abstract

fetched live from OpenAlex

IL-6 and APRIL influence the growth, differentiation, and survival of normal and neoplastic Ab-forming cells (AFC). In this study, we identify two subsets of myeloid cells that associate with the AFC and are the main producers of these factors during a T-dependent Ab response to alum-precipitated protein in mouse lymph nodes. First CD11c(+)CD8alpha(-) dendritic cells located in the perivascular area of the T zone provide about half of the IL-6 mRNA produced in the node together with significant amounts of APRIL mRNA. The number of these cells increases during the response, at least in part due to local proliferation. The second subset comprises Gr1(+)CD11b(+)F4/80(+) monocyte/macrophages. These colonize the medullary cords during the response and are the other main IL-6 mRNA producers and the greatest source of APRIL mRNA. This medullary cord monocyte/macrophage subset results in local increase of APRIL mRNA that mirrors the polarity of CXCL12 expression in the node. The distribution of these myeloid cell subsets correlates with a gradient of AFC maturation assessed by progressive loss of Ki67 as AFC pass from the B cell follicle along the perivascular areas to the medullary cords.

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)0.001
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 score0.182
Threshold uncertainty score0.853

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.007
GPT teacher head0.213
Teacher spread0.205 · 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

Citations191
Published2009
Admission routes1
Has abstractyes

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