Experimental eye research / short communication format characterization of DNA hydroxymethylation in the ocular choroid
Bibliographic record
Abstract
DNA methylation and hydroxymethylation represent important epigenetic modifications involved in cell differentiation. DNA hydroxymethylation can be used to classify independent biological samples by tissue type. Relatively little is known regarding the genomic abundance and function of 5-hydroxymethylcytosine (5-hmC) in ocular tissues. The choroid supplies oxygen and nutrients to the outer retina through its dense network of blood vessels. This connective tissue is mainly composed of pigmented melanocytes, and stromal fibroblasts. Since DNA hydroxymethylation level is relatively high in cutaneous melanocytes, we investigated the presence of 5-hmC in choroidal melanocytes, as well as the expression of ten-eleven translocation methylcytosine dioxygenases (TETs) and isocitrate dehydrogenases (IDHs) implicated in this DNA demethylation pathway. Immunofluorescence, DNA slot blots and liquid chromatography coupled to tandem mass spectrometry performed with choroidal tissues and melanocytes within these tissues revealed that they have a relatively high level of 5-hmC. We also examined the expression of TET1/2 and IDH1/2 in choroidal melanocytes by gene expression profiling, qPCR and Western blotting. In addition, we detected decreased levels of 5-hmC when choroidal melanocytes were exposed to a lower concentration of oxygen. Our study therefore demonstrates that DNA hydroxymethylation is present in choroidal melanocytes, and that the abundance of this epigenetic mark is impacted by hypoxia.
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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 | 0.001 | 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) | 0.006 | 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".