Evidence map›Paper›PMID 32547599›Full record

ArticleFrontiers in genetics2020

Differential Expression and Bioinformatics Analysis of CircRNA in PDGF-BB-Induced Vascular Smooth Muscle Cells.

Jiangtian Tian, Yahong Fu, Qi Li, Ying Xu, Xiangwen Xi, Yuqi Zheng, Li Yu, Zhuozhong Wang, Bo Yu, Jinwei Tian

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.8field-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

21 citing papers in PubMed, 27 citations in OpenAlex.

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  13. CircRNA circ-ITCH improves renal inflammation and fibrosis in streptozotocin-induced diabetic mice by regulating the miR-33a-5p/SIRT6 axis.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2021
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  15. Minor and major circRNAs in virus and host genomes.Journal of microbiology (Seoul, Korea) · 2021
    Review
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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.

Jiangtian TianKey Laboratory of Myocardial Ischemia, Chinese Ministry of Education, Harbin, China.
Yahong FuKey Laboratory of Myocardial Ischemia, Chinese Ministry of Education, Harbin, China.
Qi LiKey Laboratory of Myocardial Ischemia, Chinese Ministry of Education, Harbin, China.
Ying XuKey Laboratory of Myocardial Ischemia, Chinese Ministry of Education, Harbin, China.
Xiangwen XiKey Laboratory of Myocardial Ischemia, Chinese Ministry of Education, Harbin, China.
Yuqi ZhengKey Laboratory of Myocardial Ischemia, Chinese Ministry of Education, Harbin, China.
Li YuKey Laboratory of Myocardial Ischemia, Chinese Ministry of Education, Harbin, China.
Zhuozhong WangKey Laboratory of Myocardial Ischemia, Chinese Ministry of Education, Harbin, China.
Bo YuDepartment of Cardiology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Jinwei TianDepartment of Cardiology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atherosclerosis is mediated by various factors and plays an important pathological foundation for cardiovascular and cerebrovascular diseases. Abnormal vascular smooth muscle cells (VSMCs) proliferation and migration have an essential role in atherosclerotic lesion formation. Circular RNAs (circRNA) have been widely detected in different species and are closely related to various diseases. However, the expression profiles and molecular regulatory mechanisms of circRNAs in VSMCs are still unknown. We used high-throughput RNA-seq as well as bioinformatics tools to systematically analyze circRNA expression profiles in samples from different VSMC phenotypes. Polymerase chain reaction (PCR), Sanger sequencing, and qRT-PCR were performed for circRNA validation. A total of 22191 circRNAs corresponding to 6273 genes (host genes) in the platelet-derived growth factor (PDGF-BB) treated group, the blank control group or both groups, were detected, and 112 differentially expressed circRNAs were identified between the PDGF-BB treated and control groups, of which 59 were upregulated, and 53 were downregulated. We selected 9 circRNAs for evaluation of specific head-to-tail splicing, and 10 differentially expressed circRNAs between the two groups for qRT-PCR validation. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses enrichment analyses revealed that the parental genes of the circRNAs mainly participated in cardiac myofibril assembly and positive regulation of DNA-templated transcription, indicating that they might be involved in cardiovascular diseases. Finally, we constructed a circRNA-miRNA network based on the dysregulated circRNAs and VSMC-related microRNAs. Our study is the first to show the differential expression of circRNAs in PDGF-BB-induced VSMCs and may provide new ideas and targets for the prevention and therapy of vascular diseases.

Indexed as

cardiovascular diseaseceRNAcircRNARNA-seqVSMC

Identifiers

PMID32547599
PMCPMC7272660
OpenAlexW3028968356

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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.