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Role of Skeletal Muscle in Inner Ear Development

2016· article· en· W4389007587 on OpenAlexafffundabout
Irena Rot, Boris Kablar

Bibliographic record

VenueThe FASEB Journal · 2016
Typearticle
Languageen
FieldNeuroscience
TopicHearing, Cochlea, Tinnitus, Genetics
Canadian institutionsDalhousie University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsInner earBiologyVestibular systemAnatomyMYF5CochleaOtic vesicleSkeletal muscleCell biologyMyoDGeneticsGeneMyogenesisGene expressionNeuroscience

Abstract

fetched live from OpenAlex

We are interested in developmental morphodynamics and the ability of muscle to provide mechanical cues for organogenesis during development. Our study of compound mouse knockout (Myf5 −/− :MyoD −/ ) embryos that entirely lack skeletal musculature has revealed that these embryos develop abnormal phenotypes in many organs, such as skeleton (palate, mandible, clavicle), lungs, retina and inner ear. In this study we analyzed the altered development of the mouse inner ear and its sensory fields. Amyogenic fetuses lack skeletal muscles that move the chain of three middle ear ossicles responsible for the transfer of sound vibrations. They are also unable to tilt their head which prevents the perception of angular acceleration. The inner ear areas that were most affected in amyogenic embryos were vestibular sensory fields, i.e., cristae ampullaris, sensitive to angular acceleration. Our finding that a specific vestibular hair cell type 1 was absent in mutants was further used to identify a profile of genes specific for the lacking cell type. We performed a DNA microarray analysis to compare gene expression between inner ear sensory fields of amyogenic and wild type mouse embryos. This analysis generated a list of 10 up‐ and 87 down‐regulated genes in mutant inner ear tissues. We subsequently performed a detailed consultation of web‐accessible mouse databases regarding the genes with altered expression in mutants. This allowed us to identify 6 candidate genes with a possible role in the development of the inner ear sensory organs: Actc1, Pgam2, Ldb3, Eno3, Hspb7 and Smpx. They were established as candidate genes based on their altered expression in our mutant embryos compared to the wild type, as well as their previously documented expression in the sensory organs of the mouse inner ear. Further analysis of inner ear tissues of knockout embryos for these specific molecules is necessary to confirm, or rule out, the role of candidate genes in the inner ear development. Additionally, we searched for human homologues of the candidate genes since a number of syndromes in humans have inner ear abnormalities associated with them. Mutations in one of our candidate genes, Smpx, have been reported as the cause of X‐linked deafness in humans. Our current study suggests an epigenetic role that skeletal muscle might play in organogenesis, and offers an approach to finding novel genes responsible for altered morphology in the inner ear. Support or Funding Information Natural Sciences and Engineering Research Council of Canada Canada Foundation for Innovation

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 score0.001
Threshold uncertainty score0.004

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)0.0010.000

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 head0.027
GPT teacher head0.252
Teacher spread0.225 · 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
Published2016
Admission routes3
Has abstractyes

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