Function- and agonist-specific Ca<sup>2+</sup> signalling: The requirement for and mechanism of spatial and temporal complexity in Ca<sup>2+</sup> signals
Bibliographic record
Abstract
Calcium signals have been implicated in the regulation of many diverse cellular processes. The problem of how information from extracellular signals is delivered with specificity and fidelity using fluctuations in cytosolic Ca 2+ concentration remains unresolved. The capacity of cells to generate Ca 2+ signals of sufficient spatial and temporal complexity is the primary constraint on their ability to effectively encode information through Ca 2+ . Over the past decade, a large body of literature has dealt with some basic features of Ca 2+ -handling in cells, as well as the multiplicity and functional diversity of intracellular Ca 2+ stores and extracellular Ca 2+ influx pathways. In principle, physiologists now have the necessary information to attack the problem of function- and agonist-specificity in Ca 2+ signal transduction. This review explores the data indicating that Ca 2+ release from diverse sources, including many types of intracellular stores, generates Ca 2+ signals with sufficient complexity to regulate the vast number of cellular functions that have been reported as Ca 2+ -dependent. Some examples where such complexity may relate to neuroendocrine regulation of hormone secretion/synthesis are discussed. We show that the functional and spatial heterogeneity of Ca 2+ stores generates Ca 2+ signals with sufficient spatiotemporal complexity to simultaneously control multiple Ca 2+ -dependent cellular functions in neuroendocrine systems.Key words: signal coding, IP 3 receptor, ryanodine receptor, endoplasmic reticulum, Golgi, secretory granules, mitochondria, exocytosis.
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 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 | 0.000 | 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) | 0.000 | 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".