在一项采用标准化RT (StaRT)-PCR的盲法研究中,多个实验室获得了可重复的基因表达测量

Erin L. Crawford MS*, Godfridus J. Peters PhD[dagger], Paul Noordhuis [dagger], Marianne G. Rots PhD[dagger], Martin Vondracek MS[Dagger], Roland C. Grafstr[ouml ]m DrMEDSc[Dagger], Kimberly Lieuallen BS[sect ], Gregory Lennon PhD[par ], Robert J. Zahorchak PhD[para ], Melanie J. Georgeson BS[para ], Anil Wali PhD[num ], John F. Lechner PhD**, Pan Sheng Fan MD*, M.Bashar Kahaleh MD*, Sadik A. Khuder DDS, PhD*, Kristy A. Warner PhD*, David A. Weaver DDS, PhD*, James C. Willey MD*
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引用次数: 0

摘要

背景:一种提供标准化数据、相对廉价和高通量的方法是开发有意义的基因表达数据库的先决条件,适合开展基于表达测量的多机构临床研究。标准化RT (StaRT)-PCR具有所有这些特征。此外,该方法必须具有可重复性。StaRT-PCR具有很高的实验室重复性。本研究的目的是确定StaRT-PCR是否提供类似的实验室间重复性。方法和结果:在一项盲法实验室间研究中,通过StaRT-PCR在提供给四个实验室的互补DNA样本中测量了十个基因的表达。9个可量化基因的实验室间比较平均变异系数为0.48。在所有的实验室中,有一种基因的表达量太低而无法测量。结论:由于StaRT-PCR数据是标准化和数字化的,并且该方法在多个实验室中可重复,因此可以建立一个有意义的基因表达数据库。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reproducible gene expression measurement among multiple laboratories obtained in a blinded study using standardized RT (StaRT)-PCR

Background: A method that provides standardized data and is relatively inexpensive and capable of high throughput is a prerequisite to the development of a meaningful gene expression database suitable for conducting multi-institutional clinical studies based on expression measurement. Standardized RT (StaRT)-PCR has all these characteristics. In addition, the method must be reproducible. StaRT-PCR has high intralaboratory reproducibility. The purpose of this study is to determine whether StaRT-PCR provides similar interlaboratory reproducibility. Methods and Results: In a blinded interlaboratory study, expression of ten genes was measured by StaRT-PCR in a complementary DNA sample provided to each of four laboratories. The average coefficient of variation for interlaboratory comparison of the nine quantifiable genes was 0.48. In all laboratories, expression of one of the genes was too low to be measured. Conclusion: Because StaRT-PCR data are standardized and numerical and the method is reproducible among multiple laboratories, it will allow development of a meaningful gene expression database.

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