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用于SYBR Green RT-qPCR研究的进入高原前后血液中内参基因的鉴定。

Identification of reference genes in blood before and after entering the plateau for SYBR green RT-qPCR studies.

作者信息

Xiao Jun, Li Xiaowei, Liu Juan, Fan Xiu, Lei Huifen, Li Cuiying

机构信息

Department of Blood Transfusion, General Hospital of Air Force, PLA, Beijing, China.

出版信息

PeerJ. 2017 Sep 27;5:e3726. doi: 10.7717/peerj.3726. eCollection 2017.

Abstract

BACKGROUND

Tibetans have lived at high altitudes for thousands of years, and they have unique physiological traits that enable them to tolerate this hypoxic environment. However, the genetic basis of these traits is still unknown. As a sensitive and highly efficient technique, RT-qPCR is widely used in gene expression analyses to provide insight into the molecular mechanisms underlying environmental changes. However, the quantitative analysis of gene expression in blood is limited by a shortage of stable reference genes for the normalization of mRNA levels. Thus, systematic approaches were used to identify potential reference genes.

RESULTS

The expression levels of eight candidate human reference genes (, , , , , , and ) were assessed in blood from hypoxic environments. The expression stability of these selected reference genes was evaluated using the geNorm, NormFinder and BestKeeper programs. Interestingly, was identified as the ideal reference gene for normalizing target gene expression in human blood before and after exposure to high-altitude conditions.

CONCLUSION

These results indicate that different reference genes should be selected for the normalization of gene expression in blood from different environmental settings.

摘要

背景

藏族人已在高海拔地区生活了数千年,他们拥有独特的生理特征,使他们能够耐受这种缺氧环境。然而,这些特征的遗传基础仍然未知。作为一种灵敏且高效的技术,逆转录定量聚合酶链反应(RT-qPCR)广泛应用于基因表达分析,以深入了解环境变化背后的分子机制。然而,血液中基因表达的定量分析受到用于mRNA水平标准化的稳定内参基因短缺的限制。因此,采用系统方法来鉴定潜在的内参基因。

结果

评估了来自缺氧环境血液中八个候选人类内参基因(、、、、、、和)的表达水平。使用geNorm、NormFinder和BestKeeper程序评估这些选定内参基因的表达稳定性。有趣的是,被确定为在暴露于高海拔条件前后用于标准化人类血液中靶基因表达的理想内参基因。

结论

这些结果表明,对于来自不同环境背景血液中的基因表达标准化,应选择不同的内参基因。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25f4/5622608/3305d7910429/peerj-05-3726-g001.jpg

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