Protein kinase C and mitogen‐activated protein kinase signalling in oligodendrocytes
Bibliographic record
Abstract
Oligodendrocytes (OL) play a significant physiological role in the central nervous system by creating the myelin sheath that allows for the efficient conduction of nerve impulses. Therefore, it is important to understand which signalling cascades define the proliferation, differentiation, survival, and myelin formation potential of these cells. Currently, much of the knowledge in this field has focused on two sets of protein kinase signalling molecules: Protein kinase C (PKC) and the mitogen-activated protein kinases (MAPKs). The roles of these kinases in OL are complex, and appear to be highly dependent on the developmental stage of the OL. Even so, some broad conclusions can be drawn from the multitude of experiments conducted on the roles of PKC and MAPKs in OL. For instance, PKC appears to have a proliferative effect on immature OL, while at the same time having an inhibitory effect on OL differentiation. In mature OL, the effects of PKC include increased process extension and myelin formation. The extracellular signal-regulated (ERK) members of the MAPK family also appear to increase process extensions in mature OL. On the other hand, the c-Jun N-terminal kinase (JNK) and p38 kinase members of the MAPK family appear to regulate apoptotic events in OL.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.004 |
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".