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

Joint Authors

Liu, Yanqing
Wang, Yueqiu
Zhang, Yanxia
Liu, Zhiyong
Xiang, Hongfei
Peng, Xianbo
Chen, Bohua
Jia, Guyou

Source

BioMed Research International

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-8, 8 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-03-30

Country of Publication

Egypt

No. of Pages

8

Main Subjects

Medicine

Abstract EN

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.

American Psychological Association (APA)

Liu, Yanqing& Wang, Yueqiu& Zhang, Yanxia& Liu, Zhiyong& Xiang, Hongfei& Peng, Xianbo…[et al.]. 2017. Screening for Key Pathways Associated with the Development of Osteoporosis by Bioinformatics Analysis. BioMed Research International،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1139171

Modern Language Association (MLA)

Liu, Yanqing…[et al.]. Screening for Key Pathways Associated with the Development of Osteoporosis by Bioinformatics Analysis. BioMed Research International No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1139171

American Medical Association (AMA)

Liu, Yanqing& Wang, Yueqiu& Zhang, Yanxia& Liu, Zhiyong& Xiang, Hongfei& Peng, Xianbo…[et al.]. Screening for Key Pathways Associated with the Development of Osteoporosis by Bioinformatics Analysis. BioMed Research International. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1139171

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1139171