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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2017
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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. |
format | Online Article Text |
id | pubmed-5390640 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
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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