Reconstruction of a lncRNA-Associated ceRNA Network in Endothelial Cells under Circumferential Stress

Joint Authors

Zhang, Kui
Dong, Ran
Huang, Zhuhui
Winata, William Adiwignya
Zhao, Yang
Li, Yang
Zhou, Ning
Zhou, Shaoyou
Fu, Wei
Qiao, Bokang
Li, Guoqi
Shao, Yihui
Zheng, Jubing

Source

Cardiology Research and Practice

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-02-14

Country of Publication

Egypt

No. of Pages

13

Main Subjects

Diseases

Abstract EN

Background.

Numerous studies have highlighted that long noncoding RNA (lncRNA) can indirectly regulate the expression of mRNAs by binding to microRNA (miRNA).

LncRNA-associated ceRNA networks play a vital role in the initiation and progression of several pathological mechanisms.

However, the lncRNA-miRNA-mRNA ceRNA network in endothelial cells under cyclic stretch is seldom studied.

Methods.

The miRNA, mRNA, and lncRNA expression profiles of 6 human umbilical vein endothelial cells (HUVECs) under circumferential stress were obtained by next-generation sequencing (NGS).

We identified the differential expression of miRNAs, mRNAs, and lncRNAs using the R software package GDCRNATools.

Cytoscape was adopted to construct a lncRNA-miRNA-mRNA ceRNA network.

In addition, through GO and KEGG pathway annotations, we analyzed gene functions and their related pathways.

We also adopted ELISA and TUNEL to investigate the effect of si-NEAT1 on endothelial inflammation and apoptosis.

Results.

We recognized a total of 32978 lncRNAs, 1046 miRNAs, and 31958 mRNAs in 6 samples; among them, 155 different expressed lncRNAs, 74 different expressed miRNAs, and 960 different mRNAs were adopted.

Based on the established theory, the ceRNA network was composed of 13 lncRNAs, 44 miRNAs, and 115 mRNAs.

We constructed and visualized a lncRNA-miRNA-mRNA network, and the top 20 nodes are identified after calculating their degrees.

The nodes with most degrees in three kinds of RNAs are hsa-miR-4739, NEAT1, and MAP3K2.

Functional analysis showed that different biological processes enriched in biological regulation, response to stimulus and cell communication.

Pathway analysis was mainly enriched in longevity regulating, cell cycle, mTOR, and FoxO signaling pathway.

Circumferential stress can significantly downregulate NEAT1, and after transducing si-NEAT1 for 24 h, inflammatory cytokine IL-6 and MCP-1 were significantly increased; furthermore, fewer TUNEL-positive cells were found in the si-NEAT1 treated group.

Conclusions.

The establishing of a ceRNA network can help further understand the mechanism of vein graft failure.

Our data demonstrated that NEAT1 may be a core factor among the mechanical stress factors and that cyclic stress can significantly reduce expression of NEAT1, give rise to inflammation in the early stage of endothelial dysfunction, and promote EC apoptosis, which may play an essential role in vein graft failure.

American Psychological Association (APA)

Huang, Zhuhui& Winata, William Adiwignya& Zhang, Kui& Zhao, Yang& Li, Yang& Zhou, Ning…[et al.]. 2020. Reconstruction of a lncRNA-Associated ceRNA Network in Endothelial Cells under Circumferential Stress. Cardiology Research and Practice،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1152333

Modern Language Association (MLA)

Huang, Zhuhui…[et al.]. Reconstruction of a lncRNA-Associated ceRNA Network in Endothelial Cells under Circumferential Stress. Cardiology Research and Practice No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1152333

American Medical Association (AMA)

Huang, Zhuhui& Winata, William Adiwignya& Zhang, Kui& Zhao, Yang& Li, Yang& Zhou, Ning…[et al.]. Reconstruction of a lncRNA-Associated ceRNA Network in Endothelial Cells under Circumferential Stress. Cardiology Research and Practice. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1152333

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1152333