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Additional file 2 of IL-27 shapes the immune properties of human astrocytes and their impact on encountered human T lymphocytes

2022· other· en· W6939639483 on OpenAlexaff

Bibliographic record

VenueFigshare · 2022
Typeother
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsUniversité de MontréalCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsFlow cytometryImmune systemCD8T lymphocyteT cellAstrocyteCytotoxic T cellCell

Abstract

fetched live from OpenAlex

Additional file 2. Supplementary Figure 2: IL-27-treated astrocytes enhance the expression of CD95, PD-L1 and ICAM-1 by T lymphocytes independently of residual IL-27 in the co-culture. A IL-27 levels measured in supernatants from untreated (white bar) or IL-27- exposed astrocytes (gray bar) and from astrocyte:CD4 T cell (pink) or astrocyte: CD8 T cell (green) co-cultures with astrocytes pretreated or not with IL-27. Each dot represents one sample. B Experimental procedure for T cell-astrocyte co-cultures. Human astrocytes were treated or not with IL-27 for 24h. Astrocytes were washed and then sIL-27Rα was added or not. One hour later, αCD3/αCD28 activated human CD4+ or CD8+ T lymphocytes were added to human astrocytes and co-cultured for 24h prior to being collected for flow cytometry analysis. C Percentage of positive T lymphocytes expressing CD95, PD-L1 and ICAM-1. n=3, 2 CD4+ T cell samples (white dots) and one CD8+ T cell sample (black dot).

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)0.002
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.897
Threshold uncertainty score0.146

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.017
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.8970.252

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 head0.024
GPT teacher head0.213
Teacher spread0.189 · 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.

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
Published2022
Admission routes1
Has abstractyes

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