Bibliographic record
Abstract
Transient elevations of intracellular Ca2+ play a signalling role in such complex cellular functions as contraction, secretion, fertilization, proliferation, metabolism, heartbeat and memory. However, prolonged elevation of Ca2+ above about 10 microM is deleterious to a cell and can activate apoptosis. In muscle, there is a narrow window of Ca2+ dysregulation in which abnormalities in Ca2+ regulatory proteins can lead to disease, rather than apoptosis. Key proteins in the regulation of muscle Ca2+ are the voltage-dependent, dihydropyridine-sensitive, L-type Ca2+ channels located in the transverse tubule and Ca2+ release channels in the junctional terminal cisternae of the sarcoplasmic reticulum. Abnormalities in these proteins play a key role in malignant hyperthermia (MH), a toxic response to anesthetics, and in central core disease (CCD), a muscle myopathy. Sarco(endo)plasmic reticulum Ca2+ ATPases (SERCAs) return sarcoplasmic Ca2+ to the lumen of the sarcoplasmic reticulum. Loss of SERCA1a Ca2+ pump function is one cause of exercise-induced impairment of the relaxation of skeletal muscle, in Brody disease. Phospholamban expressed in cardiac muscle and sarcolipin expressed in skeletal muscle regulate SERCA activity. Studies with knockout and transgenic mice show that gain of inhibitory function of phospholamban alters cardiac contractility and could be a causal feature in some cardiomyopathies. Calsequestrin, calreticulin, and a series of other acidic, lumenal, Ca2+ binding proteins provide a buffer for Ca2+ stored in the sarcoplasmic reticulum. Overexpression of cardiac calsequestrin leads to cardiomyopathy and ablation of calreticulin alters cardiac development.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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".