辅助生育技术出生子代全基因组表达状况
首发时间:2013-12-19
摘要:目的:研究ART子代中基因表达谱与自然妊娠子代是否存在差异,阐明其差异程度及主要方面。材料与方法:应用Human Genome U133 Plus 2.0芯片,对ART子代和自然妊娠子代各8例进行检测,利用芯片显著性分析(significance analysis of microarray, SAM)建立两者之间的基因差异表达谱。采用分层聚类、GO(gene ontology)分类及信号通路(Pathway)分析对差异基因进行数据分析。收集我院出生的ART子代及自然妊娠子代脐血各40例,对关键基因及可能存在差异基因行荧光定量PCR检测。结果:采用SAM法得到两组间差异最为显著的159个基因。采用差异基因进行无监督的分层聚类,可完全区分ART子代和自然妊娠子代,而ICSI子代与IVF子代间差异不明显。GO分析证明差异基因中包括与生长和发育相关的基因。Pathway分析发现了几条信号通路差异变化有显著性,包括Toll样受体信号通路等。荧光定量PCR检测验证6个基因在两组间存在表达差异。结论:本研究发现ART子代中部分基因表达改变,其中与生长发育相关的基因在ART子代中表达降低,可能为ART子代低体重的一个机制。
关键词: 基因芯片 荧光定量PCR 分层聚类 GO分析 Pathway分析
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Expression profile of global genome in offspring conceived through assisted reproductive technology
Abstract:Objective:To investigate the expression profile of whole genome in ART-conceived offspring and pick the key genes differentially expressed for further study. Method: Microarray analysis included 8 babies conceived through ART and 8 controls. Gene expression profiling was completed using Affymetrix U133 Plus 2.0 oligonucleotide microarrays. Significance analysis of microarray (SAM) was applied to detect the genes differentially expressed between the two groups. Hierarchical clustering, GO analysis and Pathway analysis was used to identify the characteristics of the differentially expressed genes. Gene expression data were validated by quantitative real-time reverse-transcription polymerase chain reaction (RT-PCR). Forty ART babies and 40 controls were analyzed using real-time RT-PCR analysis. Result(s): Comparison of the gene profiles between ART babies and controls identified 159 differentially expressed genes. Hierarchical clustering showed that the gene profiles of ART babies and naturally conceived babies are distinct. GO analysis revealed that some genes involved in growth and development were down regulated in ART offspring. Pathway analysis highlighted several pathways including the toll like receptor signal pathway. To validate the gene expression data, eight genes were analyzed by real-time RT-PCR, which found that six gene were differentially expressed. Conclusion(s): This study provided the general expression profile of whole genome in ART-conceived offspring. These data provide a useful basis for understanding the molecular events leading to the increased risks in ART-conceived offspring and could be considered potential targets for further study.?????
Keywords: microarray real-time PCR clustering GO analysis pathway analysis
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