Topology of the Ca <sup>2+</sup> release channel of skeletal muscle sarcoplasmic reticulum (RyR1)
Bibliographic record
Abstract
To define the topology of the skeletal muscle ryanodine receptor (RyR1), enhanced GFP (EGFP) was fused in-frame to the C terminus of RyR1, replacing a series of C-terminal deletions that started near the beginning or the end of predicted transmembrane helices M1-M10. The constructs were expressed in HEK-293 (human embryonic kidney cell line 293) or mouse embryonic fibroblast (MEF) cells, and confocal microscopy of intact and saponin-permeabilized cells was used to determine the subcellular location of the truncated fusion proteins. The fusion protein truncated after M3 exhibited uniform cytoplasmic fluorescence, which was lost after permeabilization, indicating that proposed M', M", M1, M2, and M3 sequences are not membrane-associated. The fusion protein truncated at the end of the M4-M5 loop and containing M4 was membrane-associated. All longer truncated fusion proteins were also associated with intracellular membranes. Mapping by protease digestion and extraction of isolated microsomes demonstrated that EGFP positioned after either M5, the N-terminal half of M7 (M7a), or M8 was located in the lumen, and that EGFP positioned after either M4, M6, the C-terminal half of M7 (M7b), or M10 was located in the cytoplasm. These results indicate that RyR1 contains eight transmembrane helices, organized as four hairpin loops. The first hairpin is likely to be made up of M4a-M4b. However, it could be made up from M3-M4, which might form a hairpin loop even though M3 alone is not membrane-associated. The other three hairpin loops are formed from M5-M6, M7a-M7b, and M8-M10. M9 is not a transmembrane helix, but it might form a selectivity filter between M8 and M10.
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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 | 0.000 |
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".