MiRNA‐145‐5p prevents differentiation of oligodendrocyte progenitor cells by regulating expression of myelin gene regulatory factor
Bibliographic record
Abstract
Abstract The roles of specific microRNAs (miRNA) in oligodendrocyte (OL) differentiation have been studied in depth. However, miRNAs in OL precursors and oligodendrocyte progenitor cells (OPCs) have been less extensively investigated. MiR‐145‐5p is highly expressed in OPCs relative to differentiating OLs, suggesting this miRNA may serve a function specifically in OPCs. Knockdown of miR‐145‐5p in primary OPCs led to spontaneous differentiation, as evidenced by an increased proportion of MAG + cells, increased cell ramification, and upregulation of multiple myelin genes including MYRF, TPPP , and MAG , and OL cell cycle exit marker Cdkn1c . Supporting this transition to a differentiating state, proliferation was reduced in miR‐145‐5p knockdown OPCs. Further, knockdown of miR‐145‐5p in differentiating OLs showed enhanced differentiation, with increased branching, myelin membrane production, and myelin gene expression. We identified several OL‐specific genes targeted by miR‐145‐5p that exhibited upregulation with miR‐145‐5p knockdown, including myelin gene regulatory factor (MYRF), that could be regulating the prodifferentiation phenotype in both miR‐145 knockdown OPCs and OLs. Indeed, spontaneous differentiation with knockdown of miR‐145‐5p was fully rescued by concurrent knockdown of MYRF . However, proliferation rate was only partially rescued with MYRF knockdown, and overexpression of miR‐145‐5p in OPCs increased proliferation rate without affecting expression of already lowly expressed differentiation genes. Taken together, these data suggest that in OPCs miR‐145‐5p both prevents differentiation at least in part by preventing expression of MYRF and promotes proliferation via as‐yet‐unidentified mechanisms. These findings clarify the need for differential regulation of miR‐145‐5p between OPCs and OLs and may have further implications in demyelinating diseases such as multiple sclerosis where miR‐145‐5p is dysregulated.
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 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) | 0.000 | 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 teacher head, 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".