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P63 Mutation Impacts the Structure of Cardiopharyngeal Field Derived Muscles in Mice

2020· article· en· W3017279443 on OpenAlexaff
Kristen Noelle McPike, Julia C. Boughner, Janine M. Ziermann

Bibliographic record

VenueThe FASEB Journal · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCongenital heart defects research
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsEctodermMesodermBiologyNeural crestAnatomyMyoepithelial cellLateral plate mesodermConnective tissueEndodermCraniofacialHeart developmentPopulationCell biologyEmbryogenesisEmbryonic stem cellEmbryoImmunohistochemistryMedicineGeneticsImmunology

Abstract

fetched live from OpenAlex

The cardiopharyngeal field (CPF) includes anterior lateral mesoderm of the first heart field and the contiguous pharyngeal mesoderm. The latter gives rise to second‐heart‐field‐derived heart regions and branchiomeric head muscles. Neural crest cells (NCCs) surround and infiltrate mesoderm cells, forming connective tissue of head and heart musculature. NCCs are also involved in the septation of the cardiac outflow tract, the patterning of pharyngeal arch arteries, and in the proper development of attachments of branchiomeric muscles to skull, jaw, hyoid bone, and laryngeal cartilages. The p63 (aka Trp63 ) transcription factor is essential for the differentiation of epithelial tissue (ectoderm and endoderm) during embryogenesis. To form the correct amount of mature ectodermal, mesodermal, and NCC populations and to control the differentiation of the CPF, p63 interacts with downstream transcription factors, such as Tbx1 , Isl1, and nkx2.5 . We analyzed how the loss of p63 expression in p63 −/− mice affected the mesodermal derivatives of the CPF. We hypothesized that the loss of p63 decreases the number of mesodermal cells differentiating from the CPF, causing a smaller mesodermal cell population in the CPF. We expected to see smaller CPF derived muscles in the p63 mutant mice, as well as deficient connective tissue in head and heart musculature as well as weakened attachments of craniofacial muscles. To determine if and when certain muscular defects appear, we performed muscle antibody staining and dissected wildtype littermates and p63 −/− mice (B6.129S7‐Trp63tm2Brd/J strain) aged embryonic day (E) 12–18. We have collected minimum of five specimens for each age. We studied craniofacial, laryngeal, as well as cardiac musculature by analyzing the antibody stained specimens under the microscope and by performing microdissections under a stereomicroscope. We used 3D computed tomography scan images (taken with a uCT scanner, Skyscan 1172) to compare the craniofacial skeletons between wildtype and mutant mice. In p63 −/− mice, branchiomeric muscles such as the masseter, buccinator, and nasolabialis were properly attached to bony elements but were smaller than what was seen in the wildtype mice. The p63 −/− head is flexed and the chin is closer to the chest than in the wildtype specimens: this posture could be caused by the shortened and less dense sternocleidomastoid muscle in the p63 −/− mice. Corresponding with previous reports, our p63 −/− mice also showed several malformations (e.g., poorly developed limbs, cleft palate, cardiac abnormalities) stereotypical of this mouse mutant and which are also seen in humans with p63 mutations such as in ADULT (acro‐dermatoungual‐lacrimal‐tooth) and EEC (Ectrodactyly‐Ectodermal Dysplasia‐Cleft Lip /Palate) syndromes. Despite that p63 expression is restricted to epithelium, the described defects reveal that p63 expression is important to much earlier, and shared developmental processes, notably NCC proliferation and differentiation, that do impact tissues derived from mesoderm as well as from epithelium. Analyzing the influence of p63 on CPF differentiation will contribute to a better understanding of regulatory mechanisms during head and heart development including the role of these mechanisms in human congenital syndromes.

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 score0.004
Threshold uncertainty score0.014

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 studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.014
GPT teacher head0.273
Teacher spread0.259 · 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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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