Gregor Mendel Institute (GMI), Austrian Academy of Sciences, Vienna Biocenter (VBC), Dr. Bohr-Gasse 3, 1030, Vienna, Austria.
Sci Rep. 2017 Jul 19;7(1):5913. doi: 10.1038/s41598-017-06174-3.
Normalization of high-throughput small RNA sequencing (sRNA-Seq) data is required to compare sRNA levels across different samples. Commonly used relative normalization approaches can cause erroneous conclusions due to fluctuating small RNA populations between tissues. We developed a set of sRNA spike-in oligonucleotides (sRNA spike-ins) that enable absolute normalization of sRNA-Seq data across independent experiments, as well as the genome-wide estimation of sRNA:mRNA stoichiometries when used together with mRNA spike-in oligonucleotides.
高通量小 RNA 测序 (sRNA-Seq) 数据的归一化对于比较不同样本中的 sRNA 水平是必需的。由于组织间小 RNA 群体的波动,常用的相对归一化方法可能会导致错误的结论。我们开发了一组 sRNA 内参寡核苷酸 (sRNA 内参),这些内参可实现独立实验之间 sRNA-Seq 数据的绝对归一化,以及与 mRNA 内参寡核苷酸一起使用时 sRNA:mRNA 化学计量比的全基因组估计。