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Articles Published Processes
6/17/2022 3:19:26 AM | Browse: 391 | Download: 861
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Received |
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2022-02-17 02:34 |
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Peer-Review Started |
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2022-02-17 02:37 |
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To Make the First Decision |
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Return for Revision |
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2022-03-29 00:41 |
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Revised |
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2022-03-30 03:43 |
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Second Decision |
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2022-05-18 03:06 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2022-05-22 23:18 |
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Articles in Press |
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2022-05-22 23:18 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2022-05-16 02:07 |
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Typeset the Manuscript |
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2022-06-08 05:52 |
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Publish the Manuscript Online |
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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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Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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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
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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 |
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Funding Agency and Grant Number |
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Corresponding Author |
Cheng-Xin Li, Doctor, N/A, 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 |
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