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1/23/2023 6:09:16 PM | Browse: 81 | Download: 165
Publication Name World Journal of Psychiatry
Manuscript ID 80691
Country/Territory China
Category Psychiatry
Manuscript Type Basic Study
Article Title Identification and characterization of noncoding RNAs-associated competing endogenous RNA networks in major depressive disorder
Manuscript Source Invited Manuscript
All Author List Zhi-Li Zou, Yu Ye, Bo Zhou and Yuan Zhang
Funding Agency and Grant Number
Funding Agency Grant Number
National Key Research and Development Program of China No. 2020YFC2005500
Corresponding Author Yuan Zhang, MS, Assistant Professor, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Academy of Medical Sciences & Sichuan Provincial People’s Hospital, No. 32 First Ring Road West 2, Chengdu 610072, Sichuan Province, China. 447415054@qq.com
Key Words Major depressive disorder; Noncoding RNA; Competing endogenous RNA; Bioinformatics; Data mining
Core Tip Competing endogenous RNAs (ceRNAs) are novel regulatory molecules involved in a wide range of biological processes and diseases. This study explored the potential ceRNA networks (ceRNETs) involved in the pathogenesis of major depressive disorder (MDD) using bioinformatics data mining. A ceRNET comprising 3 miRNAs, 12 lncRNAs, and 33 mRNAs was constructed based on two public datasets obtained from the Gene Expression Omnibus database. Elucidating the correlation of the ceRNET with MDD opens new avenues to discover specific diagnostic biomarkers for MDD and expands our knowledge about this disease.
Citation Zou ZL, Ye Y, Zhou B, Zhang Y. Identification and characterization of noncoding RNAs-associated competing endogenous RNA networks in major depressive disorder. World J Psychiatry 2023; 13(2): 36-49
Received
2022-10-09 14:27
Peer-Review Started
2022-10-09 14:30
To Make the First Decision
Return for Revision
2022-11-27 06:30
Revised
2022-12-06 07:08
Second Decision
2023-01-20 03:30
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2023-01-23 18:09
Articles in Press
2023-01-23 18:09
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2023-02-01 07:01
ISSN 2220-3206 (online)
Open Access This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
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