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Shaping the craniofacial skeleton of Mexican cavefish ( <i>Astyanax mexicanus);</i> Role of Osteoblast and Osteoclast

2018· article· en· W3177175617 on OpenAlexafffundabout
Devi Sewvandini Atukorala Atukorallaya, Ravindra Kumar Ratnayake

Bibliographic record

VenueThe FASEB Journal · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFish Biology and Ecology Studies
Canadian institutionsUniversity of Manitoba
FundersUniversity of Manitoba
KeywordsCraniofacialBiologySkeleton (computer programming)SkullAnatomyOsteoclastOsteoblastBone remodelingVertebrateOsteocyteGenetics

Abstract

fetched live from OpenAlex

The vertebrate bony skeleton is remodelled continuously by bone deposition and reabsorption, which is essential for normal development, growth, repair and for the mineral homeostasis. Remodelling of the skeleton usually involves the removal of the bone by osteoclasts and the subsequent formation of new bone by osteoblasts. These remodelling mechanisms can be found in the teleost fish skeleton with special adaptation to the aquatic life. Most of the fish species have teeth in their craniofacial region and replace their dentitions though out the life which lead to continuous bone remodelling activity in the tooth‐bearing bones. The Mexican tetra ( Astyanax mexicanus ), is a small teleost fish that exists as two morphs; sighted and blind cave form. The degeneration of the eyes, result in the characteristics craniofacial phenotype in cavefish. However, little is known about the cellular mechanisms underlying the remodelling activity of the skeleton of this species. This study was designed to identify the cellular interactions during the development of craniofacial skeleton of Mexican cavefish. Histological and whole mount analysis was performed to compare the development of the skeleton in these two morphs. The cavefish showed delayed eruption of teeth in tooth‐bearing bones but has large jaw bones compared to the surface larval fish. Sites of bone resorption in the bony skeleton will be investigated by RNA in situ hybridization and ultrastructural analysis. Live bone staining techniques will be used to identify the pattern of bone deposition. This study will provide insights into the evolution of osteoblastic and osteoclastic cell activity and will highlight the use of this species as a model in mammalian skeletal disorders. Support or Funding Information This research was funded by the University of Manitoba. This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0020.000

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 head0.015
GPT teacher head0.203
Teacher spread0.188 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations2
Published2018
Admission routes3
Has abstractyes

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