Evidence map›Paper›PMID 33234712›Full record

ArticleDevelopment (Cambridge, England)2020

A developmental stage-specific network approach for studying dynamic co-regulation of transcription factors and microRNAs during craniofacial development.

Fangfang Yan, Peilin Jia, Hiroki Yoshioka, Akiko Suzuki, Junichi Iwata, Zhongming Zhao

Open access · bronzeAbstract read
In one paragraph

Article in Development (Cambridge, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

15 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Frontiers in physiology · 2026
    Article
  3. Protective effect ofNagoya journal of medical science · 2024
    Article
  4. Article
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  6. Article
  7. Review
  8. Article
  9. Early-Onset Osteoporosis: Rare Monogenic Forms Elucidate the Complexity of Disease Pathogenesis Beyond Type I Collagen.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2022
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
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

6 authors at 2 institutions in 1 country.

Fangfang YanCenter for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.ORCID 0000-0001-6231-5225
Peilin JiaCenter for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.ORCID 0000-0003-4523-4153
Hiroki YoshiokaDepartment of Diagnostic and Biomedical Sciences, School of Dentistry, The University of Texas Health Science Center at Houston, Houston, TX 77054, USA.ORCID 0000-0002-0977-434X
Akiko SuzukiDepartment of Diagnostic and Biomedical Sciences, School of Dentistry, The University of Texas Health Science Center at Houston, Houston, TX 77054, USA.
Junichi IwataDepartment of Diagnostic and Biomedical Sciences, School of Dentistry, The University of Texas Health Science Center at Houston, Houston, TX 77054, USA.ORCID 0000-0003-3975-6836
Zhongming ZhaoCenter for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.ORCID 0000-0002-3477-0914
The University of Texas Health Science Center at Houston · USThe University of Texas MD Anderson Cancer Center · US

Funding

Transforming dbGaP genetic and genomic data to FAIR-ready by artificial intelligence and machine learning algorithmsR01LM012806 · NLM · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Zhongming Zhao · 2017 to 2026
$3.7M
Role of cellular metabolism in palate morphogenesisR01DE029818 · NIDCR · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI IWATA, JUNICHI, ZHAO, ZHONGMING · 2020 to 2024
$1.8M
Transcripts and Functions Targeted by Non-coding RNAs in Palate DevelopmentR03DE026208 · NIDCR · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI IWATA, JUNICHI · 2016 to 2017
$462k
Identification of microRNAs associated with cleft lipR03DE026509 · NIDCR · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI IWATA, JUNICHI · 2017 to 2018
$462k
Molecular Regulatory Network in Frontonasal DevelopmentR03DE028340 · NIDCR · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI IWATA, JUNICHI · 2019 to 2020
$309k
Deep learning methods to predict the function of genetic variants in orofacial cleftsR03DE027711 · NIDCR · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI ZHAO, ZHONGMING · 2018 to 2019
$308k
Mining Genomic Data in FaceBase for Cleft GenesR03DE028103 · NIDCR · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI ZHAO, ZHONGMING · 2018 to 2019
$308k
Transcriptional and Post-transcriptional Co-regulation in Lip DevelopmentR03DE027393 · NIDCR · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI IWATA, JUNICHI, ZHAO, ZHONGMING · 2018 to 2019
$308k
NIDCR NIH HHS R01 DE029818NIDCR NIH HHS R03 DE026208NIDCR NIH HHS R03 DE026509NIDCR NIH HHS R03 DE027393NIDCR NIH HHS R03 DE027711NIDCR NIH HHS R03 DE028103NIDCR NIH HHS R03 DE028340NLM NIH HHS R01 LM012806
6 · The paper itself

Abstract

Craniofacial development is regulated through dynamic and complex mechanisms that involve various signaling cascades and gene regulations. Disruption of such regulations can result in craniofacial birth defects. Here, we propose the first developmental stage-specific network approach by integrating two crucial regulators, transcription factors (TFs) and microRNAs (miRNAs), to study their co-regulation during craniofacial development. Specifically, we used TFs, miRNAs and non-TF genes to form feed-forward loops (FFLs) using genomic data covering mouse embryonic days E10.5 to E14.5. We identified key novel regulators (TFs Foxm1, Hif1a, Zbtb16, Myog, Myod1 and Tcf7, and miRNAs miR-340-5p and miR-129-5p) and target genes (

Indexed as

AnimalsFacial BonesForkhead Box Protein M1Gene Expression Regulation, NeoplasticHepatocyte Nuclear Factor 1-alphaHumansHypoxia-Inducible Factor 1, alpha SubunitMiceMicroRNAsMyoD ProteinMyogeninPromyelocytic Leukemia Zinc Finger ProteinSkullTranscription FactorsWnt Signaling PathwayForkhead Box Protein M1Foxm1 protein, mouseHepatocyte Nuclear Factor 1-alphaHif1a protein, mouseHnf1a protein, mouseHypoxia-Inducible Factor 1, alpha SubunitMicroRNAsMIRN129 microRNA, mouseMIRN340 microRNA, mouseMyoD1 myogenic differentiation proteinMyoD ProteinMyogeninMyog protein, mousePromyelocytic Leukemia Zinc Finger ProteinTranscription FactorsZbtb16 protein, mouseCraniofacial developmentFeed-forward loopMicroRNARegulatory networkTranscription factor

Identifiers

PMID33234712
PMCPMC7774895
OpenAlexW3108480090

What OpenQuestion holds

Textmetadata
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.