Volume 10, Issue 4 (July & August 2019)                   BCN 2019, 10(4): 401-408 | Back to browse issues page

XML Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Rezaei Tavirani M, Rezaei Tavirani S, Zadeh-Esmaeel M, Ahmadi N A. Introducing Critical Pain-related Genes: A System Biology Approach. BCN 2019; 10 (4) :401-408
URL: http://bcn.iums.ac.ir/article-1-1328-en.html
1- Proteomics Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Introduction: Pain is valuable in diagnosis and also warning of the patients. Many molecular reagents are introduced which are related to pain. In this research, the pain-related genes are screened to identify the critical ones. 
Methods: First, the pain-related genes were pulling out from the STRING database, and Cytoscape software was used to make the interactome unit. Then the central genes and their neighbors were analyzed. Finally, the genes were clustered, and the essential genes were introduced.
Results: After analyzing 159 genes of the network, FOS, IL6, TNF, TAC1, IL8, and KNG1 were identified as the essential genes. Further analysis revealed that 88 genes are directly connected to the central genes. More resolution led to ignoring TNF and IL8 and considering SCN-alpha and PAICS as additional critical nodes. 
Conclusion: Six critical genes related to pain were identified. They can be potentially considered as new drug targets. Further investigation is required to introduce the central genes as a pain killer.
Keywords: Drug, Database, Pain, Gene, Network
Full-Text [PDF 3579 kb]   |   |   Full-Text (HTML)   
Type of Study: Original | Subject: Behavioral Neuroscience
Received: 2018/09/5 | Accepted: 2019/01/10 | Published: 2019/07/1

Add your comments about this article : Your username or Email:

Send email to the article author

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Basic and Clinical Neuroscience

Designed & Developed by : Yektaweb