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人类脑膜瘤和蛛网膜中用于定量实时聚合酶链反应的合适内参基因的选择

Selection of suitable reference genes for quantitative real-time polymerase chain reaction in human meningiomas and arachnoidea.

作者信息

Pfister Christina, Tatabiga Marcos S, Roser Florian

机构信息

Department of Neurosurgery, University of Tuebingen, Hoppe-Seyler-Str,3, 72076 Tuebingen, Germany.

出版信息

BMC Res Notes. 2011 Aug 2;4:275. doi: 10.1186/1756-0500-4-275.

DOI:10.1186/1756-0500-4-275
PMID:21806841
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3166272/
Abstract

FINDINGS

At first 32 housekeeping genes were analyzed in six randomly chosen meningiomas, brain and dura mater using geNorm, NormFinder, Bestkeeper-1 software and the comparative ΔCt method. Reference genes were ranked according to an integration tool for analyzing reference genes expression based on those four algorithms. Eight highest ranked reference genes (CASC3, EIF2B1, IPO8, MRPL19, PGK1, POP4, PPIA, and RPL37A) plus GAPDH and ACTB were then analyzed in 35 meningiomas, arachnoidea, dura mater and normal brain. NormFinder and Bestkeeper-1 identified RPL37A as the most stable expressed gene in meningiomas and their normal control tissue. NormFinder also determined the best combination of genes: RPL37A and EIF2B1. Commonly used reference genes GAPDH and ACTB were considered least stable genes. The critical influence of reference genes on qPCR data analysis is shown for VEGFA transcription patterns.

BACKGROUND

In meningiomas quantitative real-time reverse transcription-polymerase chain reaction (qPCR) is most frequently used for accurate determination of gene expression using various reference genes. Although meningiomas are a heterogeneous group of tissue, no data have been reported to validate reference genes for meningiomas and their control tissues.

CONCLUSIONS

RPL37A is the optimal single reference gene for normalization of gene expression in meningiomas and their control tissues, although the use of the combination of RPL37A and EIF2B1 would provide more stable results.

摘要

研究结果

首先,使用geNorm、NormFinder、Bestkeeper-1软件和比较ΔCt方法,对随机选取的6个脑膜瘤、脑和硬脑膜样本中的32个管家基因进行了分析。根据一种基于这四种算法分析参考基因表达的整合工具,对参考基因进行了排名。然后,在35个脑膜瘤、蛛网膜、硬脑膜和正常脑组织中,对排名最高的8个参考基因(CASC3、EIF2B1、IPO8、MRPL19、PGK1、POP4、PPIA和RPL37A)以及GAPDH和ACTB进行了分析。NormFinder和Bestkeeper-1确定RPL37A是脑膜瘤及其正常对照组织中表达最稳定的基因。NormFinder还确定了最佳基因组合:RPL37A和EIF2B1。常用的参考基因GAPDH和ACTB被认为是最不稳定的基因。VEGFA转录模式显示了参考基因对qPCR数据分析的关键影响。

背景

在脑膜瘤中,定量实时逆转录聚合酶链反应(qPCR)最常用于使用各种参考基因准确测定基因表达。尽管脑膜瘤是一组异质性组织,但尚无数据报道对脑膜瘤及其对照组织的参考基因进行验证。

结论

RPL37A是脑膜瘤及其对照组织中基因表达标准化的最佳单一参考基因,尽管使用RPL37A和EIF2B1的组合会提供更稳定的结果。

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