miR-126-5p promotes retinal endothelial cell survival through SetD5 regulation in neurons
Bibliographic record
Abstract
ABSTRACT MicroRNAs are key regulators of angiogenesis, as illustrated by the vascular defects observed in miR-126-deficient animals. The miR-126 duplex gives rise to two mature microRNAs (miR-126-3p and -5p). The vascular defects in these mutant animals were attributed to the loss of miR-126-3p but the role of miR-126-5p during normal angiogenesis in vivo remains unknown. Here, we show that miR-126-5p is expressed in endothelial cells but also by retinal ganglion cells (RGCs) of the mouse postnatal retina and participates in protecting endothelial cells from apoptosis during the establishment of the retinal vasculature. miR-126-5p negatively controls class 3 semaphorin protein (Sema3A) in RGCs through the repression of SetD5, an uncharacterized member of the methyltransferase family of proteins. In vitro, SetD5 controls Sema3A expression independently of its SET domain and co-immunoprecipitates with BRD2, a bromodomain protein that recruits transcription regulators onto the chromatin. Both SetD5 and BRD2 bind to the transcription start site and to upstream promoter regions of the Sema3a locus and BRD2 is necessary for the regulation of Sema3A expression by SetD5. Thus, neuronally expressed miR-126-5p regulates angiogenesis by protecting endothelial cells of the developing retinal vasculature from apoptosis.
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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 | 0.000 |
| 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".