A new protein isoform encoded by human circular RNA circSLC8a1 contributes to cardiac remodelling
Bibliographic record
Abstract
AIMS: Circular RNA circSLC8a1 has been previously suggested to possess translation potential, but experimental evidence supporting this notion has been lacking. We aim to understand the functions of circSLC8a1 and its translated protein in cardiac remodelling. METHODS AND RESULTS: To elucidate the functional significance of circSLC8a1, we established a transgenic mouse line expressing circSLC8a1 and its translated protein SLC8a1-604. We present compelling evidence confirming the translation potential of circSLC8a1 (hsa_circ_0005232) both in vitro and in vivo. The back-splicing event within hsa_circ_0005232 leads to the generation of a novel circRNA-derived protein comprising 604 amino acids, named SLC8a1-604, which has not been previously reported. These SLC8a1-604 transgenic mice exhibited a heart failure phenotype. In further investigations, we induced pressure overload in the transgenic mice, revealing a significant decrease in heart function compared to litter-matched negative controls. Notably, our findings indicate that the reduced heart function observed in the transgenic mice can be attributed to the presence of the circRNA-translated protein, SLC8a1-604, rather than the circRNA itself. Mechanistically, we found that SLC8a1-604 translocated into mitochondria, where it exerted its effects by binding to POLRMT. This interaction results in a downregulation of mitochondrial gene transcription, leading to a decrease in ATP synthesis. CONCLUSION: Our study provides evidence that circSLC8a1 has the capacity to encode a novel protein isoform, SLC8a1-604, which plays a pivotal role in the regulation of heart functions: circSLC8a1 modulates the remodelling process of cardiac pressure overload by translating into a functional protein.
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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) | 0.002 | 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".