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6/17/2022 3:19:26 AM | Browse: 249 | Download: 405
Publication Name World Journal of Clinical Cases
Manuscript ID 75804
Country China
Received
2022-02-17 02:34
Peer-Review Started
2022-02-17 02:37
To Make the First Decision
Return for Revision
2022-03-29 00:41
Revised
2022-03-30 03:43
Second Decision
2022-05-18 03:06
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2022-05-22 23:18
Articles in Press
2022-05-22 23:18
Publication Fee Transferred
Edit the Manuscript by Language Editor
2022-05-16 02:07
Typeset the Manuscript
2022-06-08 05:52
Publish the Manuscript Online
2022-06-17 03:19
ISSN 2307-8960 (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/
Copyright ©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved.
Article Reprints For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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Publisher Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website http://www.wjgnet.com
Category Dermatology
Manuscript Type Clinical and Translational Research
Article Title Identification of potential key molecules and signaling pathways for psoriasis based on weighted gene co-expression network analysis
Manuscript Source Unsolicited Manuscript
All Author List Xin Shu, Xiao-Xia Chen, Xin-Dan Kang, Min Ran, You-Lin Wang, Zhen-Kai Zhao and Cheng-Xin Li
ORCID
Author(s) ORCID Number
Cheng-Xin Li http://orcid.org/0000-0001-9862-031X
Funding Agency and Grant Number
Corresponding Author Cheng-Xin Li, Doctor, N/A, Department of Dermatology, The First Medical Center of Chinese PLA General Hospital, No. 28 Fuxing Road, Haidian District, Beijing 100853, China. dr_xincheng@163.com
Key Words Psoriasis; MicroRNAs; Weighted gene co-expression network analysis; Functional enrichment; MicroRNA-mRNA regulatory network
Core Tip Psoriasis is a common chronic, recurrent, immune-regulatory skin and joint disease. Although psoriasis is widespread and has significant negative impact on patients’ life quality, it has not yet been fully diagnosed and treated. Moreover, it is also associated with many other diseases. So far, psoriasis is still a treatable but incurable disease. We use weighted gene co-expression network analysis to identify key modules and microRNAs (miRNAs) related to psoriasis, and explore potential key pathways related to psoriasis through the targeting relationship of miRNA-mRNA. This provides new research ideas for the prevention and treatment of psoriasis in the future.
Publish Date 2022-06-17 03:19
Citation Shu X, Chen XX, Kang XD, Ran M, Wang YL, Zhao ZK, Li CX. Identification of potential key molecules and signaling pathways for psoriasis based on weighted gene co-expression network analysis. World J Clin Cases 2022; 10(18): 5965-5983
URL https://www.wjgnet.com/2307-8960/full/v10/i18/5965.htm
DOI https://dx.doi.org/10.12998/wjcc.v10.i18.5965
Full Article (PDF) WJCC-10-5965.pdf
Full Article (Word) WJCC-10-5965.docx
Manuscript File 75804_Auto_Edited-JRF-Filipodia CL-LS.docx
Answering Reviewers 75804-Answering reviewers.pdf
Audio Core Tip 75804-Audio core tip.m4a
Biostatistics Review Certificate 75804-Biostatistics statement.pdf
Conflict-of-Interest Disclosure Form 75804-Conflict-of-interest statement.pdf
Copyright License Agreement 75804-Copyright license agreement.pdf
Institutional Review Board Approval Form or Document 75804-Institutional review board statement.pdf
Non-Native Speakers of English Editing Certificate 75804-Language certificate.pdf
Peer-review Report 75804-Peer-review(s).pdf
Scientific Misconduct Check 75804-Bing-Fan JR-2.png
Scientific Editor Work List 75804-Scientific editor work list.pdf