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Record W4403963779 · doi:10.5376/ijms.2024.14.0037

Zebrafish as a Model for Studying Ciliary Development and Disease

2024· article· en· W4403963779 on OpenAlexvenueno aff
Fan Wang, Fei Zhao

Bibliographic record

VenueInternational Journal of Marine Science · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicZebrafish Biomedical Research Applications
Canadian institutionsnot available
Fundersnot available
KeywordsZebrafishDiseaseCiliumBiologyNeuroscienceComputational biologyCognitive scienceMedicineCell biologyPsychologyPathologyGenetics

Abstract

fetched live from OpenAlex

Cilia play crucial roles in numerous biological processes, from cell signaling to tissue homeostasis, and their dysfunction can lead to a group of disorders known as ciliopathies. Zebrafish ( Danio rerio ), due to its genetic tractability and transparency during early development, has become an important model organism for studying ciliary development and related diseases. This study analyzes the stages of ciliary development in zebrafish, including tissue-specific processes and the role of key signaling pathways, and explores how zebrafish models contribute to understanding various ciliopathies. It emphasizes genetic manipulation to induce ciliary defects and phenotypic analysis, and describes key observational techniques in zebrafish ciliary research, including high-resolution imaging, genetic markers, and fluorescent reporters. Case studies demonstrate the application of zebrafish in studying human ciliopathies, such as Joubert syndrome, Bardet-Biedl syndrome, and nephronophthisis, as well as kidney and liver ciliopathies. It is expected that this study will provide reference value for future research on ciliary related diseases, promote the understanding of the pathological mechanisms of fibrotic disorders, and develop treatment strategies.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.570
Threshold uncertainty score0.239

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.023
GPT teacher head0.346
Teacher spread0.323 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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
Published2024
Admission routes1
Has abstractyes

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