Gene markers of fracture healing in early stage and the regulatory mechanism during the process using microarray analysis

Autor: Baochang Qi, Jieping Cheng, Lei Tan, Chengxue Wang
Rok vydání: 2016
Předmět:
0301 basic medicine
Genetic Markers
Candidate gene
RNA splicing
Down-Regulation
Cell Cycle Proteins
Computational biology
Protein degradation
Protein Serine-Threonine Kinases
Cell cycle
snRNP Core Proteins
03 medical and health sciences
lcsh:Orthopedic surgery
Proto-Oncogene Proteins
Gene expression
Medicine
Humans
Orthopedics and Sports Medicine
Protein Interaction Maps
Fracture healing
early stage
cell cycle
protein degradation
protein-protein interaction
Gene
Ribonucleoprotein
U5 Small Nuclear
Fracture Healing
business.industry
Microarray analysis techniques
Mechanism (biology)
Early stage
General Medicine
Microarray Analysis
Peptide Elongation Factors
Up-Regulation
Protein–protein interaction
lcsh:RD701-811
030104 developmental biology
Original Article
Surgery
business
Function (biology)
Zdroj: Volume: 0, Issue: 0
Acta Orthopaedica et Traumatologica Turcica
Acta Orthopaedica et Traumatologica Turcica, Vol 50, Iss 6, Pp 681-685 (2016)
ISSN: 1017-995X
DOI: 10.1016/j.aott.2016.02.003
Popis: Background: Fracture healing is considered as a complex process. Despite the standard clinical management, fracture patients with extra trauma would take long time for union and thus obtained a poor outcome. The study aimed to explore crucial markers and uncover the regulatory mechanisms on fracture healing in the early stage. Methods: Gene expression profile of GSE45156 was downloaded, in which 3 fractured samples and 3 unfractured samples were used in our present study. Based on the threshold value, differentially expressed genes (DEGs) were selected between two kinds of samples using limma package in R. Enrichment analysis of these DEGs was performed by DAVID software. Furthermore, protein-protein interaction (PPI) network was established integrating information in STRING database, and visualized by Cytoscape software. Results: We identified a set of 960 DEGs including 509 up-regulated and 451 down-regulated genes. Biological processes involving RNA splicing and cell cycle were significantly enriched for the up-regulated genes such as Snrpd2, Eftud2, Plk1 and Bub1b, whereas skeletal system development and bone development processes were predominant for down-regulated genes like Ubc. In the constructed PPI network, all the five genes were the predominant nodes, of which Snrpd2 was linked to Eftud2, while Bub1b was to interact with Plk1. Conclusion: Five candidate genes crucial for indicating the process of fracture in early stage were identified. Eftud2, Snrpd2, Bub1b and Plk1 might function through the involvement of cell-cycle-related BP, while Ubc might influence the protein degradation during bone development. However, more experimental validations are needed to confirm these results. DOI: 10.3944/AOTT.2016.15.0394This abstract belongs to the un-edited version of the article and is only for informative purposes. Published version may differ from the current version.
Databáze: OpenAIRE
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