Evidence map›Paper›PMID 35774010›Full record

ArticleJournal of dental research2022

Spatiotemporal MicroRNA-Gene Expression Network Related to Orofacial Clefts.

F Yan, L M Simon, A Suzuki, C Iwaya, P Jia, J Iwata, Z Zhao

Abstract read
In one paragraph

Article in Journal of dental research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

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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

7 authors.

F YanCenter for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA.ORCID 0000-0001-6231-5225
L M SimonTherapeutic Innovation Center, Baylor College of Medicine, Houston, TX, USA.
A SuzukiDepartment of Diagnostic and Biomedical Sciences, School of Dentistry, The University of Texas Health Science Center at Houston, Houston, TX, USA.ORCID 0000-0003-3163-8093
C IwayaDepartment of Diagnostic and Biomedical Sciences, School of Dentistry, The University of Texas Health Science Center at Houston, Houston, TX, USA.
P JiaCenter for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA.
J IwataDepartment of Diagnostic and Biomedical Sciences, School of Dentistry, The University of Texas Health Science Center at Houston, Houston, TX, USA.ORCID 0000-0003-3975-6836
Z ZhaoCenter for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA.

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
Deep learning for decoding genetic regulation and cellular maps in craniofacial developmentR01DE030122 · NIDCR · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI IWATA, JUNICHI, ZHAO, ZHONGMING · 2021 to 2023
$1.7M
Identification of microRNAs associated with cleft lipR03DE026509 · NIDCR · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI IWATA, JUNICHI · 2017 to 2018
$462k
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
Molecular Regulatory Network in Frontonasal DevelopmentR03DE028340 · NIDCR · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI IWATA, JUNICHI · 2019 to 2020
$309k
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
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
NIDCR NIH HHS R01 DE029818NIDCR NIH HHS R01 DE030122NIDCR 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 structures change dynamically in morphology during development through the coordinated regulation of various cellular molecules. However, it remains unclear how these complex mechanisms are regulated in a spatiotemporal manner. Here we applied natural cubic splines to model gene and microRNA (miRNA) expression from embryonic day (E) 10.5 to E14.5 in the proximal and distal regions of the maxillary processes to identify spatiotemporal patterns of gene and miRNA expression, followed by constructing corresponding regulatory networks. Three major groups of differentially expressed genes (DEGs) were identified, including 3,927 temporal, 314 spatial, and 494 spatiotemporal DEGs. Unsupervised clustering further resolved these spatiotemporal DEGs into 8 clusters with distinct expression patterns. Interestingly, we found 2 clusters of differentially expressed miRNAs: 1 had 80 miRNAs monotonically decreasing and the other had 97 increasing across developmental stages. To evaluate the phenotypic relevance of these DEGs during craniofacial development, we integrated data from the CleftGeneDB database and constructed the regulatory networks of genes related to orofacial clefts. Our analysis revealed 2 hub miRNAs, mmu-miR-325-3p and mmu-miR-384-5p, that repressed cleft-related genes

Indexed as

Cleft LipCleft PalateMicroRNAsAnimalsCore Binding Factor Alpha 1 SubunitGene ExpressionGene Expression ProfilingGene Regulatory NetworksMiceCore Binding Factor Alpha 1 SubunitMicroRNAscleft lipdevelopmental biologygene expression profilinggene regulatory networksnonlinear dynamicsspatiotemporal analysis

Identifiers

PMID35774010
PMCPMC9516630

What Socratic 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 Socratic graph.