Direct conversion of somatic cells towards oligodendroglial lineage cells: A novel strategy for enhancement of myelin repair
Bibliographic record
Abstract
Oligodendrocyte precursor cells (OPCs) are considered as the main cell source for myelination in the central nervous system. Following demyelination, proliferation, migration, and differentiation capability of endogenous OPCs remarkably increase leading to remyelination in damaged areas. Despite the beneficial impacts of resident OPCs for myelin repair, the capacity of endogenous repair is low and insufficient. Therefore, several strategies have been developed to improve endogenous myelin repair. Although stem cell therapy has been introduced as a promising strategy for neurodegenerative disorders, but several limitations such as cell rejection, teratoma formation, and ethical concerns have hampered the extensive application of stem cells in clinic. In recent years, direct conversion of fully differentiated somatic cells into desired cells in the lesion area has opened a new era in regenerative medicine. In addition to direct reprogramming of somatic cells to neurons, recent evidence have also demonstrated that somatic cells, including fibroblasts and astrocytes, can be directly reprogrammed to OPC-like cells by overexpression of some specific transcription factors, microRNAs, or application of small molecules. Interestingly, induced OPCs differentiated to myelinating oligodendrocytes that could effectively ensheath the host axons. In the present review article, the current advancements in direct conversion of somatic cells towards oligodendroglial cells have been discussed both in vitro and in vivo.
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 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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".