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学科主题基础医学
Microarray gene expression profiling and bioinformatics analysis of premature ovarian failure in a rat model
Li, Ji1; Fan, Shengjun2,3; Han, Dongwei4; Xie, Jiaming4; Kuang, Haixue5; Ge, Pengling4,6
关键词Premature Ovarian Failure Expression Profiling Bioinformatics Analysis
刊名EXPERIMENTAL AND MOLECULAR PATHOLOGY
2014-12-01
DOI10.1016/j.yexmp.2014.10.015
97期:3页:535-541
收录类别SCI
文章类型Article
WOS标题词Science & Technology
类目[WOS]Pathology
资助者National Natural Science Foundation of China ; Chinese Ministry of Science and Technology ; Natural Science Foundation of Heilongjiang province ; Harbin Science and Technology Bureau of Heilongjiang Province ; National Natural Science Foundation of China ; Chinese Ministry of Science and Technology ; Natural Science Foundation of Heilongjiang province ; Harbin Science and Technology Bureau of Heilongjiang Province
研究领域[WOS]Pathology
关键词[WOS]ANIMAL-MODEL ; AUTOIMMUNITY ; MICRORNAS ; DISEASE ; WOMEN ; TOOL
英文摘要

Premature ovarian failure (POF) remains one of the major gynecological problems worldwide which affected 1% of women. Even though tremendous achievements had been acquired as opposed to years past, molecular pathogenesis associated with POF is still unclear and needs to be well-defined.

The aim of this study was to analyze the gene expression profiles in the POP rat model. To predict potential regulating factors, we firstly treated female Sprague Dawley (SD) rat with 4-vinylcyclohexene diepoxide (VCD). Total RNA from ovarian tissue was converted to cDNA and hybridized to mRNA Chip array. The differentially expressed genes (DEGs) were identified by two-sample t test and assessed using hierarchical clustering and Principal Component Analysis methods. Potential regulatory targets associated with these DEGs were constructed using BisoGenet in Cytoscape. Gene Ontology (GO) and functional enrichment analysis were performed using BiNGO and DAVID, respectively.

As the results, 25 DEGs were found to be closely associated with POP initiation. Hierarchical clustering and Principal Component Analysis on the transcriptional profiles revealed an excellent separation of the vehicle and POF compartments. Pathway enrichment analysis based on the disease-gene interaction network analysis led to the identification of two core signaling pathways that were strongly affected during POF initiation and progression: immune response and cardiovascular disorders.

In conclusion, we constructed a gene regulatory network associated with POF using the microarray gene expression profiling, and screened out some genes or transcription factors that may be used as potential molecular therapeutic targets for POP. (C) 2014 Elsevier Inc. All rights reserved.

语种英语
所属项目编号81273650 ; 2012ZX09103201-018 ; LC2011C03 ; 2011RFLXS024
资助者National Natural Science Foundation of China ; Chinese Ministry of Science and Technology ; Natural Science Foundation of Heilongjiang province ; Harbin Science and Technology Bureau of Heilongjiang Province ; National Natural Science Foundation of China ; Chinese Ministry of Science and Technology ; Natural Science Foundation of Heilongjiang province ; Harbin Science and Technology Bureau of Heilongjiang Province
WOS记录号WOS:000346685700029
引用统计
被引频次:3[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.bjmu.edu.cn/handle/400002259/57554
专题基础医学院
作者单位1.Heilongjinag Univ Chinese Med, Sch Basic Med Sci, Dept Formulas Tradit Chinese Med, Key Lab State Adm Tradit Chinese Med Peoples Repu, Harbin 150040, Peoples R China
2.Peking Univ, Hlth Sci Ctr, Sch Basic Med Sci, Dept Pharmacol,State Key Lab Nat & Biomimet Drugs, Beijing 100191, Peoples R China
3.Peking Univ, Beijing Key Lab Tumor Syst Biol, Beijing 100191, Peoples R China
4.Heilongjinag Univ Chinese Med, Sch Basic Med Sci, Dept Pharmacol, Harbin 150040, Peoples R China
5.Heilongjiang Univ Chinese Med, Dept Pharmacol, Key Lab, Minist Educ, Harbin 150040, Peoples R China
6.Harbin Med Univ, Key Lab Myocardial Ischemia, Chinese Minist Educ, Harbin 150086, Peoples R China
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GB/T 7714
Li, Ji,Fan, Shengjun,Han, Dongwei,et al. Microarray gene expression profiling and bioinformatics analysis of premature ovarian failure in a rat model[J]. EXPERIMENTAL AND MOLECULAR PATHOLOGY,2014,97(3):535-541.
APA Li, Ji,Fan, Shengjun,Han, Dongwei,Xie, Jiaming,Kuang, Haixue,&Ge, Pengling.(2014).Microarray gene expression profiling and bioinformatics analysis of premature ovarian failure in a rat model.EXPERIMENTAL AND MOLECULAR PATHOLOGY,97(3),535-541.
MLA Li, Ji,et al."Microarray gene expression profiling and bioinformatics analysis of premature ovarian failure in a rat model".EXPERIMENTAL AND MOLECULAR PATHOLOGY 97.3(2014):535-541.
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