Smooth Muscle Tissues Express a Major Dominant Negative Splice Variant of the Type 3 Ca2+ Release Channel (Ryanodine Receptor)
Bibliographic record
Abstract
It is well known that the type 3 Ca(2+) release channel (ryanodine receptor, RyR3) exhibits strikingly different pharmacological and functional properties depending on the tissues in which it resides. To investigate the molecular basis for this tissue-dependent heterogeneity, we examined the primary structure of RyR3 from various tissues by reverse transcription polymerase chain reaction and DNA sequence analysis. As many as seven alternatively spliced variants of RyR3 were detected. Ribonuclease protection assays revealed that one of these splice variants, RyR3 (AS-8a), which lacks a 29-amino acid fragment (His(4406)-Lys(4434)) encompassing a predicted transmembrane helix, was highly expressed in smooth muscle tissues, but not in skeletal muscle, the heart, or the brain. Although the RyR3 (AS-8a) splice variant did not form a functional Ca(2+) release channel when expressed alone in HEK293 cells, it was able to form functional heteromeric channels with reduced caffeine sensitivity when co-expressed with the wild type RyR3. Interestingly, this RyR3 splice variant was also able to form heteromeric channels with and suppress the activity of the type 2 ryanodine receptor (RyR2). Tissue-specific expression of RyR3 splice variants is therefore likely to account for some of the pharmacological and functional heterogeneities of RyR3. These observations also reveal a novel mechanism by which a splice variant of one RyR isoform (RyR3) can suppress the activity of another RyR isoform (RyR2) via a dominant negative effect.
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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 | 0.001 |
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".