Evidence map›Paper›PMID 32155686›Full record

ArticleJournal of cellular and molecular medicine2020

Screening and functional prediction of differentially expressed circRNAs in proliferative human aortic smooth muscle cells.

Wei Chen, Jiajie Lin, Bin Li, Shanhu Cao, Huanhuan Li, Jianzhi Zhao, Kun Liu, Yiming Li, Yang Li, Shaoguang Sun

Open access · goldAbstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

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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 1 institution in 1 country.

Wei ChenDepartment of Biochemistry and Molecular Biology, Key Laboratory of Medical Biotechnology of Hebei Province, Institute of Medicine and Health, Hebei Medical University, Shijiazhuang, China.ORCID 0000-0002-8375-518X
Jiajie LinDepartment of Biochemistry and Molecular Biology, Key Laboratory of Medical Biotechnology of Hebei Province, Institute of Medicine and Health, Hebei Medical University, Shijiazhuang, China.ORCID 0000-0003-3338-6264
Bin LiDepartment of Biochemistry and Molecular Biology, Key Laboratory of Medical Biotechnology of Hebei Province, Institute of Medicine and Health, Hebei Medical University, Shijiazhuang, China.
Shanhu CaoDepartment of Biochemistry and Molecular Biology, Key Laboratory of Medical Biotechnology of Hebei Province, Institute of Medicine and Health, Hebei Medical University, Shijiazhuang, China.
Huanhuan LiDepartment of Biochemistry and Molecular Biology, Key Laboratory of Medical Biotechnology of Hebei Province, Institute of Medicine and Health, Hebei Medical University, Shijiazhuang, China.
Jianzhi ZhaoDepartment of Biochemistry and Molecular Biology, Key Laboratory of Medical Biotechnology of Hebei Province, Institute of Medicine and Health, Hebei Medical University, Shijiazhuang, China.
Kun LiuDepartment of Biochemistry and Molecular Biology, Key Laboratory of Medical Biotechnology of Hebei Province, Institute of Medicine and Health, Hebei Medical University, Shijiazhuang, China.
Yiming LiDepartment of Biochemistry and Molecular Biology, Key Laboratory of Medical Biotechnology of Hebei Province, Institute of Medicine and Health, Hebei Medical University, Shijiazhuang, China.
Yang LiDepartment of Biochemistry and Molecular Biology, Key Laboratory of Medical Biotechnology of Hebei Province, Institute of Medicine and Health, Hebei Medical University, Shijiazhuang, China.
Shaoguang SunDepartment of Biochemistry and Molecular Biology, Key Laboratory of Medical Biotechnology of Hebei Province, Institute of Medicine and Health, Hebei Medical University, Shijiazhuang, China.ORCID 0000-0002-2827-0948
Hebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vascular smooth muscle cell (VSMC) proliferation is the pathological base of vascular remodelling diseases. Circular RNAs (circRNAs) are important regulators involved in various biological processes. However, the function of circRNAs in VSMC proliferation regulation remains largely unknown. This study was conducted to identify the key differentially expressed circRNAs (DEcircRNAs) and predict their functions in human aortic smooth muscle cell (HASMC) proliferation. To achieve this, DEcircRNAs between proliferative and quiescent HASMCs were detected using a microarray, followed by quantitative real-time RT-PCR validation. A DEcircRNA-miRNA-DEmRNA network was constructed, and functional annotation was performed using Gene Ontology (GO) and KEGG pathway analysis. The function of hsa_circ_0002579 in HASMC proliferation was analysed by Western blot. The functional annotation of the DEcircRNA-miRNA-DEmRNA network indicated that the four DEcircRNAs might play roles in the TGF-β receptor signalling pathway, Ras signalling pathway, AMPK signalling pathway and Wnt signalling pathway. Twenty-seven DEcircRNAs with coding potential were screened. Hsa_circ_0002579 might be a pro-proliferation factor of HASMC. Overall, our study identified the key DEcircRNAs between proliferative and quiescent HASMCs, which might provide new important clues for exploring the functions of circRNAs in vascular remodelling diseases.

Indexed as

AortaCell Culture TechniquesCell ProliferationGene Expression Regulation, DevelopmentalGene OntologyGene Regulatory NetworksHumansMicroRNAsMuscle, Smooth, VascularMyocytes, Smooth MuscleOligonucleotide Array Sequence AnalysisRNA, CircularSignal TransductionMicroRNAsRNA, Circularcircular RNAscoding potentialHASMCsmicroRNA spongeproliferation

Identifiers

PMID32155686
PMCPMC7176856
OpenAlexW3011744684

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.