The Conversion of Human Tissue‐Like Inflammatory Monocytes Into Macrophages
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Classical circulating LyC6 high murine monocytes differentiate progressively from inflammatory tissue monocytes to mature macrophages (Mϕ) after entry into gut mucosa. This protocol provides a two‐step in vitro culture method that replicates the human monocyte maturation cascade. First, purified circulating CD14 + CD16 − monocytes exposed to granulocyte‐macrophage colony‐stimulating factor (GM‐CSF), interferon gamma (IFNγ), and interleukin 23 (IL‐23) differentiate into tissue‐like inflammatory monocytes. Next, addition of transforming growth factor beta (TGFβ) plus interleukin 10 (IL‐10) promotes their maturation into tissue‐like Mϕ. Methods to sort these cells after culture are also provided. The fine‐tuning of this system might open therapeutic avenues for chronic inflammatory disorders. © 2021 Wiley Periodicals LLC This article was corrected on 25 July 2022. See the end of the full text for details. Basic Protocol 1 : Isolation of human monocytes from peripheral blood Basic Protocol 2 : First step culture for generation of inflammatory monocyte‐like cells Basic Protocol 3 : Second step culture for differentiation of inflammatory monocyte‐like cells into macrophages Alternate Protocol : Sorting and culturing of inflammatory monocyte‐like cells
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it