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Mapping the Multi‐Modal Distribution of Craniofacial Phenotypes in NOSIP Mutants

2020· article· en· W3018876941 on OpenAlexaff
Heather A. Richbourg, Alexa Saliou, Jay Devine, Rebecca Green, Stefanie Oess, Benedikt Hallgrímsson, Ralph Marcucio

Bibliographic record

VenueThe FASEB Journal · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDevelopmental Biology and Gene Regulation
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCraniofacialMesenchymeBiologyPhenotypeEmbryoExencephalyAnatomyCell biologyGeneticsGeneTeratology

Abstract

fetched live from OpenAlex

Nitric Oxide Synthase Interacting Protein (NOSIP) is a E3 mono‐ubiquitin ligase that regulates the activity of protein phosphatase 2A. Deletion of NOSIP leads to severe and variable malformations of the craniofacial complex. Our goal was to use NOSIP mutant mice to understand of mechanisms of phenotypic variation. The phenotype of an individual embryo is the product of the developmental trajectory that it previously traversed. We propose that this concept of canalization is essential for understanding the etiology of complex phenotypic outcomes. We have previously shown that the brain patterns the face, so sequential perturbations affecting the brain and face may create unique developmental trajectories that each embryo transits. We tested this by creating a 3D morphospace of NOSIP heterozygous and homozygous mutants to determine if embryos occupy unique morphospace regions based on affected craniofacial structures. Embryos between embryonic day 10.5 (E10.5) to E17.5 were collected, fixed, and imaged (mCT). Anatomical features were reconstructed using Avizo. NOISP expression appears to be restricted to the neuroepithelium, lower jaw mesenchyme, and mesenchyme and epithelium in tissue adjacent to the frontonasal ectodermal zone between stage E10.5‐11.5. Embryos with a single telencephalic lobe had more severe facial malformations, including micrognathia and obstructed airway without significant changes in early cell apoptosis (via TUNEL staining). Embryos with normal telencephalic vesicle separation had less severe facial phenotypes, including left‐right mild asymmetry and clefting. Overall, it appears that NOSIP‐KO creates a multi‐modal distribution of craniofacial phenotypes along the developmental timeline by affecting early brain development, suggesting that understanding canalization may provide insight into the complexity of genotype‐phenotype map (Fig. ). Support or Funding Information Funding was provided by NIH F32DE08476 and R01DE019638 grants. Schematic of the changing phenotypic landscape describing the multi‐modal distribution of craniofacial phenotypes within NOSIP +/− and NOSIP −/− embryos compared to wildtype (light blue). Figure 1

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.023
GPT teacher head0.238
Teacher spread0.215 · 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 designObservational
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
Published2020
Admission routes1
Has abstractyes

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