Molecular mechanisms regulating cardiac contractility: subfunctionalization of fish‐specific paralogs of troponin C in Danio rerio
Bibliographic record
Abstract
Myofilament Ca 2+ sensitivity is a critical factor in regulating cardiac contractility. The key regulator, cardiac troponin (cTn), is made up of three proteins (cTnC, cTnI, cTnT). Though Ca 2+ ‐activated component of cTn,TnC is highly conserved across phylogenetically diverse groups, subtle variations are seen as interspecies orthologs and intraspecies paralogs between tissues. In mammals, two forms of TnC exist with distinct localization patterns (fast skeletal muscle and slow skeletal/cardiac muscle) and Ca 2+ affinities, but in fish a third paralog exists annotated ssTnC in zebrafish. Tissue‐specific mRNA profiles in adult zebrafish revealed a distinct localization of gene expression, with ssTnC preferentially expressed in the atrium and cTnC is almost exclusively expressed in the zebrafish ventricle, which may reflect the differing contractile properties between the cardiac chambers. The functionality of these differences is being compared biochemically through measurement of Ca2+ binding kinetics. This subfunctionalization of TnC isoforms lends insight the consequences of variation to the structure‐function of cTn and variation in cardiac muscle contraction.
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) | 0.000 | 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".