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Record W4313646521 · doi:10.1002/dvdy.566

Functional comparison of human <scp>ACVR1</scp> and zebrafish Acvr1l <scp>FOP</scp>‐associated variants in embryonic zebrafish

2023· article· en· W4313646521 on OpenAlexaff
Robert L. Lalonde, Hannah A. Nicolas, Rowan S. Cutler, Irene Pantekidis, Weibo Zhang, Pamela C. Yelick

Bibliographic record

VenueDevelopmental Dynamics · 2023
Typearticle
Languageen
FieldMedicine
TopicHeterotopic Ossification and Related Conditions
Canadian institutionsUniversity of Ottawa
FundersNational Institute of Dental and Craniofacial ResearchNational Institute of Arthritis and Musculoskeletal and Skin DiseasesNational Institutes of Health
KeywordsZebrafishFibrodysplasia ossificans progressivaBiologyEmbryonic stem cellBone morphogenetic proteinCell biologyHeterotopic ossificationSignal transductionReceptorGeneticsAnatomyGene

Abstract

fetched live from OpenAlex

Abstract Background Fibrodysplasia ossificans progressiva (FOP), a rare disease characterized by progressive heterotopic ossification of muscle and connective tissues, is caused by autosomal dominant activating mutations in the type I receptor, ACVR1/ALK2. The classic human FOP variant, ACVR1 R206H , shows increased bone morphogenetic protein (BMP) signaling and activation by activins. Results Here, we performed in vivo functional characterization of human ACVR1 R206H and orthologous zebrafish Acvr1l R203H using early embryonic zebrafish dorsoventral patterning as a phenotypic readout for receptor activity. Our results showed that human ACVR1 R206H and zebrafish Acvr1l R203H exhibit functional differences in early embryonic zebrafish, and that human ACVR1 R206H retained its signaling activity in the absence of a ligand‐binding domain (LBD). We also showed, for the first time, that zebrafish Acvr2ba/Acvr2bb receptors are required for human ACVR1 R206H signaling in early embryonic zebrafish. Conclusions Together, these data provide new insight into ACVR1 R206H signaling pathways that may facilitate the design of new and effective therapies for FOP patients.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.029
GPT teacher head0.285
Teacher spread0.256 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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