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qPCR数据分析

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oriRNA
发布2018-06-19 17:36:35
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发布2018-06-19 17:36:35
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文章被收录于专栏:R语言___生物信息

How do you best analyze and display real-time PCR data with only dCt values?

Hi, I recently inherited a set of real-time PCR data for which there are two groups (vaccinated vs unvaccinated). We are interested in characterizing relative gene expression between the groups. However, the data set is more of a cross-sectional glance at the level of various immune gene transcripts at a given time-point (post-vaccination in one group), and we don't have a baseline for the subjects, making it impossible to calculate a ddCt and fold-change. My question then is whether I can show just the normalized Ct values (dCt) to demonstrate the relative expression between the groups. I have also read that 2^-dCt is acceptable, but I am having a hard time finding examples of that in the literature. I'd appreciate any advice or suggestions for articles that employ or explain this method in a little more detail. Thanks.

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原创声明:本文系作者授权腾讯云开发者社区发表,未经许可,不得转载。

如有侵权,请联系 cloudcommunity@tencent.com 删除。

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  • How do you best analyze and display real-time PCR data with only dCt values?
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