Regulation of Stem Cell Proliferation by p38 MAPK Signaling
Bibliographic record
Abstract
The p38 Mitogen Activated Protein Kinase (MAPK) is a key member of a highly conserved superfamily of protein kinases. Mostly sensitive to inflammatory cytokines and stress signals, p38 activation leads to a variety of cellular responses, including proinflammatory cytokines secretion, cell survival, apoptosis induction and the regulation of cell proliferation. Here, we carried a focused investigation on the recent literature, across all systems and organisms, concerning the roles of p38 in the regulation of Stem Cell (SC) proliferation. Interestingly, we found that p38 can exert either a pro- or an anti- proliferative function, depending on the specific models and contexts. It is also activated by a variety of upstream signals and regulates SC proliferation through a wide diversity of molecular effectors. Whereas p38 regulates SC proliferation mostly cell-autonomously, an example of a non-cell autonomous p38-dependent regulation of SC proliferation was recently uncovered. Altogether, bringing together these recent findings improve our comprehension of the effects p38 has on SC proliferation, while these mechanisms and effectors appear as being conserved through evolution.
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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 | 0.000 | 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 | 0.001 |
| 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 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".