Role of calsequestrin evaluated from changes in free and total calcium concentrations in the sarcoplasmic reticulum of frog cut skeletal muscle fibres
Bibliographic record
Abstract
Calsequestrin is a large-capacity Ca-binding protein located in the terminal cisternae of sarcoplasmic reticulum (SR) suggesting a role as a buffer of the concentration of free Ca in the SR ([Ca2+](SR)) serving to maintain the driving force for SR Ca2+ release. Essentially all of the functional studies on calsequestrin to date have been carried out on purified calsequestrin or on disrupted muscle preparations such as terminal cisternae vesicles. To obtain information about calsequestrin's properties during physiological SR Ca2+ release, experiments were carried out on frog cut skeletal muscle fibres using two optical methods. One - the EGTA-phenol red method - monitored the content of total Ca in the SR ([Ca(T)](SR)) and the other used the low affinity Ca indicator tetramethylmurexide (TMX) to monitor the concentration of free Ca in the SR. Both methods relied on a large concentration of the Ca buffer EGTA (20 mM), in the latter case to greatly reduce the increase in myoplasmic [Ca2+] caused by SR Ca2+ release thereby almost eliminating the myoplasmic component of the TMX signal. By releasing almost all of the SR Ca, these optical signals provided information about [Ca(T)](SR) versus [Ca2+](SR) as [Ca2+](SR) varied from its resting level ([Ca2+](SR,R)) to near zero. Since almost all of the Ca in the SR is bound to calsequestrin, this information closely resembles the binding curve of the Ca-calsequestrin reaction. Calcium binding to calsequestrin was found to be cooperative (estimated Hill coefficient = 2.95) and to have a very high capacity (at the start of Ca2+ release, 23 times more Ca was estimated to initiate from calsequestrin as opposed to the pool of free Ca in the SR). The latter result contrasts with an earlier report that only approximately 25% of released Ca2+ comes from calsequestrin and approximately 75% comes from the free pool. The value of [Ca2+](SR,R) was close to the K(D) for calsequestrin, which has a value near 1 mm in in vitro studies. Other evidence indicates that [Ca2+](SR,R) is near 1 mM in cut fibres. These results along with the known rapid kinetics of the Ca-calsequestrin binding reaction indicate that calsequestrin's properties are optimized to buffer [Ca2+](SR) during rapid, physiological SR Ca2+ release. Although the results do not entirely rule out a more active role in the excitation-contraction coupling process, they do indicate that passive buffering of [Ca2+](SR) is a very important function of calsequestrin.
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How this classification was reachedexpand
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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".