High-throughput RNA profiling via up-front sample parallelization
High-throughput RNA profiling via up-front sample parallelization
复制标题
DOI：
10.1038/nmeth.3311
复制
发表时间：
2015-04-01
期刊：
影响因子：
48
通讯作者：
Patel, Abhijit A.
中科院分区：
文献类型：
--
作者：
Narayan, Azeet;Bommakanti, Ananth;Patel, Abhijit A.
我们描述了一种称为模块化早期标记扩增（Meta）RNA分析的方法，该方法可以在许多样品中同时定量一系列microRNA或mRNA，并且需要的序列深度远低于现有的数字分析技术。该方法在逆转录过程中分配定量标签，以允许在竞争性扩增和深度测序之前预先合并样品。这种简单、可扩展且廉价的方法提高了大规模基因表达研究的实用性。
We describe a method called modular, early-tagged amplification (META) RNA profiling that can quantify a broad panel of microRNAs or mRNAs simultaneously across many samples and requires far less sequence depth than existing digital profiling technologies. The method assigns quantitative tags during reverse transcription to permit up-front sample pooling before competitive amplification and deep sequencing. This simple, scalable and inexpensive approach improves the practicality of large-scale gene expression studies.