Evidence map›Paper›PMID 28363736›Full record

ArticleDevelopmental biology2017

Systems biology of facial development: contributions of ectoderm and mesenchyme.

Joan E Hooper, Weiguo Feng, Hong Li, Sonia M Leach, Tzulip Phang, Charlotte Siska, Kenneth L Jones, Richard A Spritz, Lawrence E Hunter, Trevor Williams

Abstract read
In one paragraph

Article in Developmental biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.1field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 42 citations in OpenAlex.

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  19. What Do Animal Models Teach Us About Congenital Craniofacial Defects?Advances in experimental medicine and biology · 2020
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Joan E HooperDepartment of Cell and Developmental Biology, University of Colorado School of Medicine, 12801 E 17th Avenue, Aurora, CO 80045, USA; Computational Bioscience Program, University of Colorado School of Medicine, 12801 E 17th Avenue, Aurora, CO 80045, USA. Electronic address: Joan.hooper@ucdenver.edu.
Weiguo FengDepartment of Cell and Developmental Biology, University of Colorado School of Medicine, 12801 E 17th Avenue, Aurora, CO 80045, USA; Department of Craniofacial Biology, University of Colorado School of Dental Medicine, 12801 E 17th Avenue, Aurora, CO 80045, USA. Electronic address: wgfeng2009@gmail.com.
Hong LiDepartment of Craniofacial Biology, University of Colorado School of Dental Medicine, 12801 E 17th Avenue, Aurora, CO 80045, USA. Electronic address: Hong.Li@ucdenver.edu.
Sonia M LeachDepartment of Biomedical Research, National Jewish Health, 1400 Jackson Street, Denver, CO 80206, USA. Electronic address: Leachs@njhealth.org.
Tzulip PhangComputational Bioscience Program, University of Colorado School of Medicine, 12801 E 17th Avenue, Aurora, CO 80045, USA; Department of Medicine, University of Colorado School of Medicine, 12801 E 17th Avenue, Aurora, CO 80045, USA. Electronic address: tzu.phang@ucdenver.edu.
Charlotte SiskaComputational Bioscience Program, University of Colorado School of Medicine, 12801 E 17th Avenue, Aurora, CO 80045, USA. Electronic address: charlotte.siska@ucdenver.edu.
Kenneth L JonesDepartment of Pediatrics, University of Colorado School of Medicine, 12801 E 17th Avenue, Aurora, CO 80045, USA. Electronic address: kenneth.l.jones@ucdenver.edu.
Richard A SpritzHuman Medical Genetics and Genomics Program, University of Colorado School of Medicine, 12800 E 17th Avenue, Aurora, CO 80045, USA. Electronic address: Richard.Spritz@ucdenver.edu.
Lawrence E HunterComputational Bioscience Program, University of Colorado School of Medicine, 12801 E 17th Avenue, Aurora, CO 80045, USA; Department of Pharmacology, University of Colorado School of Medicine, 12801 E 17th Avenue, Aurora, CO 80045, USA. Electronic address: Larry.Hunter@ucdenver.edu.
Trevor WilliamsDepartment of Cell and Developmental Biology, University of Colorado School of Medicine, 12801 E 17th Avenue, Aurora, CO 80045, USA; Department of Craniofacial Biology, University of Colorado School of Dental Medicine, 12801 E 17th Avenue, Aurora, CO 80045, USA. Electronic address: trevor.williams@ucdenver.edu.
University of Colorado Denver · USNational Jewish Health · USUniversity of Colorado Anschutz Medical Campus · US

Funding

Computational Bioscience Program Training GrantT15LM009451 · NLM · UNIVERSITY OF COLORADO DENVER · PI Katherina Kechris-Mays, Arjun Krishnan · 2007 to 2026
$11.7M
Technology Development for a MolBio Knowledge-BaseR01LM008111 · NLM · UNIVERSITY OF COLORADO DENVER · PI HUNTER, LAWRENCE E · 2004 to 2021
$9.7M
Bio Text NLPR01LM009254 · NLM · UNIVERSITY OF COLORADO DENVER · PI HUNTER, LAWRENCE E · 2006 to 2018
$5.9M
THE ROLE OF AP-2 IN CRANIOFACIAL DEVELOPMENTR01DE012728 · NIDCR · YALE UNIVERSITY · PI WILLIAMS, TREVOR J · 1998 to 2013
$5.5M
GENE DISCOVERY FOR CRANIOFACIAL DISORDERSR01DE015191 · NIDCR · UNIVERSITY OF COLORADO DENVER · PI SPRITZ, RICHARD A · 2003 to 2007
$1.9M
RNA dynamics in the developing mouse faceU01DE024429 · NIDCR · UNIVERSITY OF COLORADO DENVER · PI HOOPER, JOAN E, JONES, KENNETH LLOYD · 2014 to 2018
$1.7M
Functional genomics to identify miRNA targets in the developing faceR03DE024598 · NIDCR · UNIVERSITY OF COLORADO DENVER · PI HOOPER, JOAN E · 2014 to 2015
$460k
NIDCR NIH HHS R01 DE012728NIDCR NIH HHS R01 DE015191NIDCR NIH HHS R03 DE024598NIDCR NIH HHS U01 DE024429NLM NIH HHS R01 LM008111NLM NIH HHS R01 LM009254NLM NIH HHS T15 LM009451
6 · The paper itself

Abstract

The rapid increase in gene-centric biological knowledge coupled with analytic approaches for genomewide data integration provides an opportunity to develop systems-level understanding of facial development. Experimental analyses have demonstrated the importance of signaling between the surface ectoderm and the underlying mesenchyme are coordinating facial patterning. However, current transcriptome data from the developing vertebrate face is dominated by the mesenchymal component, and the contributions of the ectoderm are not easily identified. We have generated transcriptome datasets from critical periods of mouse face formation that enable gene expression to be analyzed with respect to time, prominence, and tissue layer. Notably, by separating the ectoderm and mesenchyme we considerably improved the sensitivity compared to data obtained from whole prominences, with more genes detected over a wider dynamic range. From these data we generated a detailed description of ectoderm-specific developmental programs, including pan-ectodermal programs, prominence- specific programs and their temporal dynamics. The genes and pathways represented in these programs provide mechanistic insights into several aspects of ectodermal development. We also used these data to identify co-expression modules specific to facial development. We then used 14 co-expression modules enriched for genes involved in orofacial clefts to make specific mechanistic predictions about genes involved in tongue specification, in nasal process patterning and in jaw development. Our multidimensional gene expression dataset is a unique resource for systems analysis of the developing face; our co-expression modules are a resource for predicting functions of poorly annotated genes, or for predicting roles for genes that have yet to be studied in the context of facial development; and our analytic approaches provide a paradigm for analysis of other complex developmental programs.

Indexed as

Systems BiologyAnimalsEctodermFaceGene Expression Regulation, DevelopmentalJawMaxillofacial DevelopmentMesodermMiceMice, Inbred C57BLNoseTongueCo-expression modulesEpithelial-mesenchymal interactionFunctional genomicsOrofacial cleftsTranscriptome

Identifiers

PMID28363736
PMCPMC5530582
OpenAlexW2598158206

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.