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基于内参的微阵列数据分析 2——HVE 基因间功能关联分析。

Internal standard-based analysis of microarray data2--analysis of functional associations between HVE-genes.

机构信息

Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA.

出版信息

Nucleic Acids Res. 2011 Oct;39(18):7881-99. doi: 10.1093/nar/gkr503. Epub 2011 Jun 28.

DOI:10.1093/nar/gkr503
PMID:21715372
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3185418/
Abstract

In this work we apply the Internal Standard-based analytical approach that we described in an earlier communication and here we demonstrate experimental results on functional associations among the hypervariably-expressed genes (HVE-genes). Our working assumption was that those genetic components, which initiate the disease, involve HVE-genes for which the level of expression is undistinguishable among healthy individuals and individuals with pathology. We show that analysis of the functional associations of the HVE-genes is indeed suitable to revealing disease-specific differences. We show also that another possible exploit of HVE-genes for characterization of pathological alterations is by using multivariate classification methods. This in turn offers important clues on naturally occurring dynamic processes in the organism and is further used for dynamic discrimination of groups of compared samples. We conclude that our approach can uncover principally new collective differences that cannot be discerned by individual gene analysis.

摘要

在这项工作中,我们应用了我们在之前的通讯中描述的基于内标分析的方法,并在这里展示了超可变表达基因(HVE-genes)之间功能关联的实验结果。我们的工作假设是,那些引发疾病的遗传成分涉及到 HVE-genes,这些基因在健康个体和病理个体中的表达水平没有区别。我们表明,对 HVE-genes 的功能关联的分析确实适合揭示疾病特异性差异。我们还表明,HVE-genes 的另一个可能的病理改变特征是使用多元分类方法。这反过来又为生物体中自然发生的动态过程提供了重要线索,并进一步用于比较样本组的动态区分。我们的结论是,我们的方法可以揭示出不能通过单个基因分析来识别的基本新的总体差异。

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