miR-17 extends mouse lifespan by inhibiting senescence signaling mediated by MKP7
Bibliographic record
Abstract
Here we show that transgenic expression of miR-17 extends lifespan and inhibits cellular senescence. We propose that miR-17 acts as a critical regulator of cellular senescence and tumorigenesis. We demonstrate that miR-17 targets both ADCY5 and IRS1, upregulating the downstream signals MKP7, FoxO3, LC3B, and HIF1α, and downregulating mTOR, c-myc, cyclin D1, and JNK. Silencing either ADCY5 or IRS1 promoted autophagy and repressed cellular senescence and apoptosis. Repression of ADCY5 by miR-17 translocated membrane-bound RGS2 into the nucleus, promoting interactions of RGS2 with HIF1α and the MKP7 promoter, enhancing MKP7 transcription. ADCY5 repression by miR-17 also facilitated the translocation of EGFR and MKP7 from membrane into cytoplasmic and mitochondrial fractions. Importantly, we found that MKP7 inhibited senescence by dephosphorylating PRAS40 at Thr246 and mTOR at Ser2248, facilitating the interaction and loss of function of both molecules. Thus, the oncogenic miR-17 also acts pleiotropically to inhibit cellular senescence and extend longevity.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".