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Record W2625284495

Characterization of a Novel Dendritic Cell Population

2012· dissertation· en· W2625284495 on OpenAlexfundno aff
Anastassia Mikhailova

Bibliographic record

VenueTSpace (University of Toronto) · 2012
Typedissertation
Languageen
FieldImmunology and Microbiology
TopicImmunotherapy and Immune Responses
Canadian institutionsnot available
FundersHeart and Stroke Foundation of Canada
KeywordsCharacterization (materials science)NanotechnologyMaterials science
DOInot available

Abstract

fetched live from OpenAlex

Conventional DC (cDC) arise from circulating immediate precursors (pre-cDC), and are currently thought to be terminally differentiated. Here we show that cDC are capable of generating progeny that lost all characteristic features of cDC and aquired regulatory properties. Sorted bone marrow pre-cDCs were cultured on a stromal monolayer in the presence or absence of granulocyte-macrophage colony stimulating factor (GM-CSF). In the absence of GM-CSF, pre-cDC derived DCs gave rise to a homogeneous population of CD11clow MHClow cells (DC-regs) on day 8-10 of culture. DC-regs failed to up-regulate major histocompatibility complex class II (MHCII) and co-stimulatory molecules in response to DC maturation stimuli, were poor stimulators in T cell proliferation assays and suppressed T cell proliferation in cultures containing immuno-stimulatory DC. Co-transfer of DC-regs with DCs in vivo did not inhibit proliferation of T cells. These findings reveal the potential of DCs to generate a regulatory DC population with immunosuppressive properties.

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 score0.001
Threshold uncertainty score0.004

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.011
GPT teacher head0.227
Teacher spread0.217 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueTSpace (University of Toronto)→Same topicImmunotherapy and Immune Responses→French-language works237,207→