DZNep inhibits H3K27me3 deposition and delays retinal degeneration in the rd1 mice
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Retinitis pigmentosa (RP) is a group of inherited retinal degenerative diseases causing progressive loss of photoreceptors. Numerous gene mutations are identified to be related with RP, but epigenetic modifications may also be involved in the pathogenesis. Previous studies suggested that both DNA methylation and histone acetylation regulate photoreceptor cell death in RP mouse models. However, the role of histone methylation in RP has never been investigated. In this study, we found that trimethylation of several lysine sites of histone H3, including lysine 27 (H3K27me3), increased in the retinas of rd1 mice. Histone methylation inhibitor DZNep significantly reduced the calpain activity, delayed the photoreceptor loss, and improved ERG response of rd1 retina. RNA-sequencing indicated that DZNep synergistically acts on several molecular pathways that regulate photoreceptor survival in rd1 retina, including PI3K-Akt and photoreceptor differentiation pathways, revealing the therapeutic potential of DZNep for RP treatment. PI3K-Akt pathway and H3K27me3 form a feedback loop in rd1 retina, thus PI3K inhibitor LY294002 reduces phosphorylation of Ezh2 at serine 21 and enhances H3K27me3 deposition, and inhibiting H3K27me3 by DZNep can activate PI3K-Akt pathway by de-repressing gene expression of PI3K subunits Pik3r1 and Pik3r3 . These findings suggest that histone methylation, especially H3K27me3 deposition is a novel mechanism and therapeutic target for retinal degenerative diseases, similar to H3K27me3-mediated ataxia-telangiectasia in Atm −/− mouse.
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.
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 it