MétaCan
Menu
Back to cohort

Interactions Between Channel Function, Cellular Differentiation, and Morphology in the Mandibles of Two Connexin‐43 Mutant Mouse Models

2019· article· en· W3176874899 on OpenAlexafffund
Alyssa Moore, Elizabeth Jewlal, Kevin Barr, Dale W. Laird, Katherine E. Willmore

Bibliographic record

VenueThe FASEB Journal · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicConnexins and lens biology
Canadian institutionsWestern University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPhenotypeMutantBiologyOsteocyteConnexinWild typeGeneticsCell biologyOsteoblastGeneGap junctionIn vitro

Abstract

fetched live from OpenAlex

Background Mutations in the gene encoding connexin‐43 (Cx43) can result in the human disease oculodentodigital dysplasia (ODDD), which has a strong craniofacial phenotype, including microphthalmia, a narrowed nose, and an increased incidence of cleft palate. The literature on the human condition of ODDD documents a mandibular phenotype including macrognathia and widened alveolar ridges; however, the mandibular phenotype has yet to be studied in detail in mouse models of ODDD . As well, a stepwise link between the amount of functional Cx43 protein, cellular differentiation, and phenotype has been found in heterozygous and homozygous Cx43 knockout mice, but this stepwise progression in Cx43 functionality, cellular changes, and phenotypic changes has yet to be investigated in mouse models of ODDD . Therefore, the purpose of this project is to determine the relationship between Cx43 function, celular differentiation, and mandibular morphology. Methods We used two mouse models with mutations in the gene encoding for Cx43 which have 20% channel functionality and a severe ODDD phenotype (Cx43 G60S/+ ) or 50% channel functionality and a moderate ODDD phenotype (Cx43 I130T/+ ), respectively. Homologous landmark data were collected from microCT images of newborn hemimandibles and analyzed with geometric morphometric analyses to quantify and visualize mandibular shape changes between mutants and wildtype littermates. General mandibular histomorphology will be qualitatively assessed using Safranin‐O/Fast Green staining and compared among genotypes. We will also quantify expression of chondrocyte, osteoblast, osteoclast, and osteocyte differentiation markers in these mutant mice and their wildtype littermates using qRT‐PCR. With these procedures, we hope to gain an understanding of the relationship between Cx43 function, cellular differentiation, and mandibular morphology. Preliminary Results Cx43 G60S/+ mice display significant alterations to mandibular shape and size when compared to their wildtype littermates. The changes to shape and size cluster around the incisor alveolar process, coronoid process, angular process, condylar process, and mental and mandibular foramina in Cx43 G60S/+ mice. Potential drivers for these size and shape changes include delayed ossification and the interaction of different modes of ossification in secondary cartilage. Significance & Future Directions Our preliminary work confirms that altered Cx43 function results in altered mandibular morphology. Ongoing studies are focused on determining if cellular differentiation is altered in the bone and cartilage of our mutant mandibles and if these cellular changes can explain the phenotypic changes observed. Support or Funding Information This study was funded by NSERC. This abstract is from the Experimental Biology 2019 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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.019
GPT teacher head0.242
Teacher spread0.223 · 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

Citations0
Published2019
Admission routes2
Has abstractyes

Explore more

Same venueThe FASEB JournalSame topicConnexins and lens biologyFrench-language works237,207