Evidence map›Paper›PMID 31312353›Full record

ArticleAmerican journal of translational research2019

High-throughput sequencing analysis of the expression profile of microRNAs and target genes in mechanical force-induced osteoblastic/cementoblastic differentiation of human periodontal ligament cells.

Yun Wu, Yanjing Ou, Chufang Liao, Shanshan Liang, Yining Wang

Open access · greenAbstract read
PubMed Full text at PMC
In one paragraph

Article in American journal of translational research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 15% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

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  13. Roles of osteoclasts in alveolar bone remodeling.Genesis (New York, N.Y. : 2000) · 2022
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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

5 authors at 1 institution in 1 country.

Yun WuThe State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST) and The Key Laboratory of Oral Biomedicine Ministry of Education, School and Hospital of Stomatology, Wuhan University Wuhan, PR China.
Yanjing OuThe State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST) and The Key Laboratory of Oral Biomedicine Ministry of Education, School and Hospital of Stomatology, Wuhan University Wuhan, PR China.
Chufang LiaoThe State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST) and The Key Laboratory of Oral Biomedicine Ministry of Education, School and Hospital of Stomatology, Wuhan University Wuhan, PR China.
Shanshan LiangThe State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST) and The Key Laboratory of Oral Biomedicine Ministry of Education, School and Hospital of Stomatology, Wuhan University Wuhan, PR China.
Yining WangThe State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST) and The Key Laboratory of Oral Biomedicine Ministry of Education, School and Hospital of Stomatology, Wuhan University Wuhan, PR China.
Stomatology Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mechanical tension force directs the lineage commitment of periodontal ligament cells (PDLCs) to osteogenesis; however, the underlying mechanisms, especially those at the post-transcriptional level, remain unclear. In the present study, we developed an in vitro force-loading model for PDLCs. Then, high-throughput sequencing was used to identify the expression profile of microRNAs (miRNAs) for stretched PDLCs. The candidate target genes of differentially expressed miRNAs were predicted by bioinformatics analysis. A total of 47 miRNAs were found to be differentially expressed in stretched and non-stretched PDLCs; of these, 31 were upregulated and 16 were downregulated. Further, 9 osteogenesis-related miRNAs (miR-221-3p, miR-138-5p, miR-132-3p, miR-218-5p, miR-133a-3p, miR-145-3p, miR-143-5p, miR-486-3p, and miR-21-3p) were validated by quantitative reverse transcription-polymerase chain reaction (RT-qPCR). Gene Ontology (GO) and Kyoto Encyclopedia of Gene and Genome (KEGG) pathway analysis were then carried out to reveal the potential functions of predicted target genes. Among the top 20 enriched pathways, the Hippo signaling pathway was selected for further functional analysis. Several important components of the Hippo signaling pathway, including YAP1, WWTR1, TEAD2, CTGF, DVL2, GDF5, GLI2, LIMD1, WTIP, LATS1, and TEAD1, were predicted to be target genes of differentially expressed miRNAs and were determined to be upregulated in stretched PDLCs. Among them, YAP1, WWTR1, TEAD2, CTGF, DVL2, and GDF5 were positive regulators of osteogenesis. These findings may provide a reliable reference for future studies to elucidate the biological mechanisms of orthodontic tooth movement (OTM).

Indexed as

high-throughput sequencingmicroRNAorthodontic tooth movementosteogenesisPeriodontal ligament cells

Identifiers

PMID31312353
PMCPMC6614645
OpenAlexW2985867343

What OpenQuestion holds

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Registered trials

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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.