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Screening for Key Pathways Associated with the Development of Osteoporosis by Bioinformatics Analysis

Objectives. We aimed to find the key pathways associated with the development of osteoporosis. Methods. We downloaded expression profile data of GSE35959 and analyzed the differentially expressed genes (DEGs) in 3 comparison groups (old_op versus middle, old_op versus old, and old_op versus senescen...

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Autores principales: Liu, Yanqing, Wang, Yueqiu, Zhang, Yanxia, Liu, Zhiyong, Xiang, Hongfei, Peng, Xianbo, Chen, Bohua, Jia, Guyou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5390640/
https://www.ncbi.nlm.nih.gov/pubmed/28466021
http://dx.doi.org/10.1155/2017/8589347
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author Liu, Yanqing
Wang, Yueqiu
Zhang, Yanxia
Liu, Zhiyong
Xiang, Hongfei
Peng, Xianbo
Chen, Bohua
Jia, Guyou
author_facet Liu, Yanqing
Wang, Yueqiu
Zhang, Yanxia
Liu, Zhiyong
Xiang, Hongfei
Peng, Xianbo
Chen, Bohua
Jia, Guyou
author_sort Liu, Yanqing
collection PubMed
description Objectives. We aimed to find the key pathways associated with the development of osteoporosis. Methods. We downloaded expression profile data of GSE35959 and analyzed the differentially expressed genes (DEGs) in 3 comparison groups (old_op versus middle, old_op versus old, and old_op versus senescent). KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway enrichment analyses were carried out. Besides, Venn diagram analysis and gene functional interaction (FI) network analysis were performed. Results. Totally 520 DEGs, 966 DEGs, and 709 DEGs were obtained in old_op versus middle, old_op versus old, and old_op versus senescent groups, respectively. Lysosome pathway was the significantly enriched pathways enriched by intersection genes. The pathways enriched by subnetwork modules suggested that mitotic metaphase and anaphase and signaling by Rho GTPases in module 1 had more proteins from module. Conclusions. Lysosome pathway, mitotic metaphase and anaphase, and signaling by Rho GTPases may be involved in the development of osteoporosis. Furthermore, Rho GTPases may regulate the balance of bone resorption and bone formation via controlling osteoclast and osteoblast. These 3 pathways may be regarded as the treatment targets for osteoporosis.
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spelling pubmed-53906402017-05-02 Screening for Key Pathways Associated with the Development of Osteoporosis by Bioinformatics Analysis Liu, Yanqing Wang, Yueqiu Zhang, Yanxia Liu, Zhiyong Xiang, Hongfei Peng, Xianbo Chen, Bohua Jia, Guyou Biomed Res Int Research Article Objectives. We aimed to find the key pathways associated with the development of osteoporosis. Methods. We downloaded expression profile data of GSE35959 and analyzed the differentially expressed genes (DEGs) in 3 comparison groups (old_op versus middle, old_op versus old, and old_op versus senescent). KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway enrichment analyses were carried out. Besides, Venn diagram analysis and gene functional interaction (FI) network analysis were performed. Results. Totally 520 DEGs, 966 DEGs, and 709 DEGs were obtained in old_op versus middle, old_op versus old, and old_op versus senescent groups, respectively. Lysosome pathway was the significantly enriched pathways enriched by intersection genes. The pathways enriched by subnetwork modules suggested that mitotic metaphase and anaphase and signaling by Rho GTPases in module 1 had more proteins from module. Conclusions. Lysosome pathway, mitotic metaphase and anaphase, and signaling by Rho GTPases may be involved in the development of osteoporosis. Furthermore, Rho GTPases may regulate the balance of bone resorption and bone formation via controlling osteoclast and osteoblast. These 3 pathways may be regarded as the treatment targets for osteoporosis. Hindawi 2017 2017-03-30 /pmc/articles/PMC5390640/ /pubmed/28466021 http://dx.doi.org/10.1155/2017/8589347 Text en Copyright © 2017 Yanqing Liu et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Liu, Yanqing
Wang, Yueqiu
Zhang, Yanxia
Liu, Zhiyong
Xiang, Hongfei
Peng, Xianbo
Chen, Bohua
Jia, Guyou
Screening for Key Pathways Associated with the Development of Osteoporosis by Bioinformatics Analysis
title Screening for Key Pathways Associated with the Development of Osteoporosis by Bioinformatics Analysis
title_full Screening for Key Pathways Associated with the Development of Osteoporosis by Bioinformatics Analysis
title_fullStr Screening for Key Pathways Associated with the Development of Osteoporosis by Bioinformatics Analysis
title_full_unstemmed Screening for Key Pathways Associated with the Development of Osteoporosis by Bioinformatics Analysis
title_short Screening for Key Pathways Associated with the Development of Osteoporosis by Bioinformatics Analysis
title_sort screening for key pathways associated with the development of osteoporosis by bioinformatics analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5390640/
https://www.ncbi.nlm.nih.gov/pubmed/28466021
http://dx.doi.org/10.1155/2017/8589347
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