Evolution and Spatiotemporal Expression of ankha and ankhb in Zebrafish
Bibliographic record
Abstract
Craniometaphyseal Dysplasia (CMD) is a rare skeletal disorder that can result from mutations in the ANKH gene. This gene encodes progressive anksylosis (ANK), which is responsible for transporting inorganic pyrophosphate (PPi) and ATP from the intracellular to the extracellular environment, where PPi inhibits bone mineralization. When ANK is dysfunctional, as in patients with CMD, the passage of PPi to the extracellular environment is reduced, leading to excess mineralization, particularly in bones of the skull. Zebrafish may serve as a promising model to study the mechanistic basis of CMD. Here, we provide a detailed analysis of the zebrafish Ankh paralogs, Ankha and Ankhb, in terms of their phylogenic relationship with ANK in other vertebrates as well as their spatiotemporal expression patterns during zebrafish development. We found that a closer evolutionary relationship exists between the zebrafish Ankhb protein and its human and other vertebrate counterparts, and stronger promoter activity was predicted for ankhb compared to ankha. Furthermore, we noted distinct temporal expression patterns, with ankha more prominently expressed in early development stages, and both paralogs also being expressed at larval growth stages. Whole-mount in situ hybridization was used to compare the spatial expression patterns of each paralog during bone development, and both showed strong expression in the craniofacial region as well as the notochord and somites. Given the substantial overlap in spatiotemporal expression but only subtle patterning differences, the exact roles of these genes remain speculative. In silico analyses predicted that Ankha and Ankhb have the same function in transporting PPi across the membrane. Nevertheless, this study lays the groundwork for functional analyses of each ankh paralog and highlights the potential of using zebrafish to find possible targeted therapies for CMD.
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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 | 0.000 | 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".