Derivation and Characterization of Murine Alternatively Activated (M2) Macrophages
Bibliographic record
Abstract
Diversity in macrophage responsiveness to inflammatory stimuli has resulted in the description of a new paradigm wherein macrophages are referred to as polarized into one of two distinct phenotypes, classically activated (M1) macrophages and alternatively activated (M2) macrophages. Classically activated, M1 or "killer" macrophages are thought to play a critical role in destroying foreign organisms and tumor cells, while alternatively activated M2 or "healer" macrophages are thought to be important in debris scavenging, wound healing, and angiogenesis. M2 macrophages may also play key roles in chronic infections, tumorigenesis, and tumor metastasis. It is therefore important to establish models of M1 and M2 polarized macrophages to study their characteristics and amenability to manipulation. M1 macrophages are typically derived from myeloid progenitors with murine macrophage-colony-stimulating factor (M-CSF, also known as CSF-1), while M2 macrophages are thought to be derived from mature M1 macrophages by treatment with interleukin-4 (IL-4) or IL-13. M2 macrophages can also be isolated from SH2-containing inositol 5'-phosphatase (SHIP)-/- mice by harvesting macrophages from peritoneal lavage fluids or they can be derived from SHIP-/- bone marrow aspirate cells with addition of 5% human serum. Upon stimulation with lipopolysaccharide (LPS), M1 macrophages produce high levels of proinflammatory cytokines, low levels of anti-inflammatory cytokines, and high levels of inducible nitric oxide synthase (iNOS), which leads to nitric oxide (NO) production. M2 macrophages, on the other hand, express high levels of M2 markers Ym1 and arginase I (ArgI) and, upon stimulation with LPS, produce relatively lower levels of proinflammatory cytokines and NO and higher levels of anti-inflammatory cytokines. In this chapter, we describe methods used in our laboratory to generate and characterize alternatively activated (M2) macrophages.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.003 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".