Department of Forensic Medicine, Kyoto University Graduate School of Medicine, Yoshida-Konoe-cho, Sakyo-ku, Kyoto 606-8501, Japan.
Department of Forensic Medicine, Kyoto University Graduate School of Medicine, Yoshida-Konoe-cho, Sakyo-ku, Kyoto 606-8501, Japan; Forensic Science Laboratory, Kyoto Prefectural Police Headquaters, 85-3, 85-4, Yabunouchi-cho, Kamigyo-ku, Kyoto 602-8550, Japan.
Forensic Sci Int Genet. 2018 Nov;37:135-142. doi: 10.1016/j.fsigen.2018.08.010. Epub 2018 Aug 18.
MicroRNA (miRNA) -based body fluid identification (BFID) plays a prominent role in a forensic practice, and the selected reference RNA is indispensable for a robust normalization in BFID performed using reverse transcription-quantitative PCR. In this study, we first examined sample quality using RNA integrity number, then evaluated the consistency of expression of candidate reference RNAs in 4 forensically relevant body fluids using NormFinder and BestKeeper, and lastly used each rank and index output from these tools for selecting the optimal reference RNA and the combination of the multiple RNAs using the RankAggreg package of R. We found that RNA integrity number was small in our samples, despite the use of pristine body fluids; 5S-rRNA was the optimal reference RNA for the identification of forensically relevant body fluids; and the combination of 5S-rRNA and miR-92a-3p and/or miR-484 enhanced the normalization quality. Our findings enable us to perform stringent normalization of the expression of body fluid-specific RNAs, and thus, can contribute to the development of small RNA-based BFID systems.
基于 microRNA (miRNA) 的体液识别 (BFID) 在法医学实践中起着重要作用,而选定的参考 RNA 对于使用逆转录定量 PCR 进行稳健的 BFID 标准化是必不可少的。在这项研究中,我们首先使用 RNA 完整性数量检查样本质量,然后使用 NormFinder 和 BestKeeper 评估候选参考 RNA 在 4 种法医学相关体液中的表达一致性,最后使用这些工具的每个等级和指数输出使用 R 中的 RankAggreg 包选择最佳参考 RNA 和多个 RNA 的组合。我们发现,尽管使用了原始体液,我们的样本中的 RNA 完整性数量很小;5S-rRNA 是法医相关体液识别的最佳参考 RNA;并且 5S-rRNA 和 miR-92a-3p 和/或 miR-484 的组合增强了标准化质量。我们的研究结果使我们能够对体液特异性 RNA 的表达进行严格的标准化,从而有助于基于小 RNA 的 BFID 系统的发展。