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Record W2113416428 · doi:10.1126/science.1241006

Fine Tuning of Craniofacial Morphology by Distant-Acting Enhancers

2013· article· en· W2113416428 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueScience · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCleft Lip and Palate Research
Canadian institutionsAlberta Children's HospitalUniversity of CalgaryAlberta Bone and Joint Health Institute
FundersNational Institute of Dental and Craniofacial ResearchNational Human Genome Research InstituteLawrence Berkeley National LaboratoryNational Institute of General Medical SciencesMedical Research CouncilNatural Sciences and Engineering Research Council of CanadaNational Institutes of HealthU.S. Department of EnergySchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungLudwig Institute for Cancer Research
KeywordsCraniofacialMorphology (biology)EnhancerBiologyGeneticsTranscription factor

Abstract

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Introduction The shape of the face is one of the most distinctive features among humans, and differences in facial morphology have substantial implications in areas such as social interaction, psychology, forensics, and clinical genetics. Craniofacial shape is highly heritable, including the normal spectrum of morphological variation as well as susceptibility to major craniofacial birth defects. In this study, we explored the role of transcriptional enhancers in the development of the craniofacial complex. Our study is based on the rationale that such enhancers, which can be hundreds of kilobases away from their target genes, regulate the spatial patterns, levels, and timing of gene expression in normal development. Methods To identify distant-acting enhancers active during craniofacial development, we used chromatin immunoprecipitation on embryonic mouse face tissue followed by sequencing to identify noncoding genome regions bound by the enhancer-associated p300 protein. We used LacZ reporter assays in transgenic mice and optical projection tomography (OPT) to determine three-dimensional expression patterns of a subset of these candidate enhancers. Last, we deleted three of the craniofacial enhancers from the mouse genome to assess their effect on gene expression and craniofacial morphology during development. Results We identified more than 4000 candidate enhancer sequences predicted to be active in the developing craniofacial complex. The majority of these sequences are at least partially conserved between humans and mice, and many are located in chromosomal regions associated with normal facial morphology or craniofacial birth defects. Characterization of more than 200 candidate enhancer sequences in transgenic mice revealed a remarkable spatial complexity of in vivo expression patterns. Targeted deletions of three craniofacial enhancers near genes with known roles in craniofacial development resulted in changes of expression of those genes as well as quantitatively subtle but definable alterations of craniofacial shape. Discussion Our analysis identifies enhancers that fine tune expression of genes during craniofacial development in mice. These results support that variation in the sequence or copy number of craniofacial enhancers may contribute to the spectrum of facial variation we find in human populations. Because many craniofacial enhancers are located in genome regions associated with craniofacial birth defects, such as clefts of the lip and palate, our results also offer a starting point for exploring the contribution of noncoding sequences to these disorders.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.007
Threshold uncertainty score0.219

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.012
GPT teacher head0.289
Teacher spread0.277 · 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