Lü Y H, Wang Z Q, Chen Y J, Chen L
School of Basic Medical Sciences, Shanghai University of Medicine & Health Sciences, Shanghai 201318, China.
Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China.
Fa Yi Xue Za Zhi. 2020 Dec;36(6):807-809. doi: 10.12116/j.issn.1004-5619.2020.06.011.
Postmortem interval (PMI) estimation has always been an important and difficult issue in the field of forensic pathology. In recent years, research progress on the estimation of PMI using RNA specific variation patterns after death has been made by researchers at home and aboard. This paper summarizes the specific application methods of messenger RNA and non-coding RNA for PMI estimation based on the literatures and discusses the existing problems and development trends, in order to provide technical reference for related studies and estimation practice.
死后间隔时间(PMI)的估计一直是法医病理学领域的一个重要且困难的问题。近年来,国内外研究者在利用死后RNA特异性变化模式估计PMI方面取得了研究进展。本文基于文献总结了信使RNA和非编码RNA在PMI估计中的具体应用方法,并探讨了存在的问题及发展趋势,以期为相关研究及估计实践提供技术参考。