Literature DB >> 23601718

The selection of endogenous genes in human postmortem tissues.

Heng Zhang1, Ping Zhang, Kai-Jun Ma, Ye-Hui Lv, Wen-Can Li, Cheng-Liang Luo, Li-Liang Li, Yi-Wen Shen, Meng He, Jie-Qing Jiang, Long Chen.   

Abstract

Precisely determining the postmortem interval (PMI), which is crucial to criminal and forensic cases, is a research in which quantitative RT-PCR (also known as qRT-PCR or real-time RT-PCR) has been used to analyse gene expression levels and data normalisation should be required to eliminate the differences among the samples. Therefore, it is quite necessary to find stable molecular biological markers in PMI determination research. In this study, we compared nine commonly used endogenous markers (containing ACTB, GAPDH, B2M, U6, 18S rRNA, hsa-mir-1, hsa-mir-9, hsa-mir-194-1 and hsa-mir-203) in the 109 human tissue samples obtained from autopsy at the aim of finding stable markers in human tissues with consideration of the impact of parameters (PMI and cause of death). After RNA was extracted from four tissues (heart, brain, kidney, skin), the Ct values of nine endogenous markers were obtained by qRT-PCR and assessed by geNorm software. The results showed that U6, GAPDH and 18S rRNA were the suitable markers in our set of samples in various corpse conditions, that B2M and ACTB were reliable internal controls in heart tissue only, and that microRNAs had such high M values that they should not be chosen for endogenous control genes.
Copyright © 2012 Forensic Science Society. Published by Elsevier Ireland Ltd. All rights reserved.

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Year:  2012        PMID: 23601718     DOI: 10.1016/j.scijus.2012.11.005

Source DB:  PubMed          Journal:  Sci Justice        ISSN: 1355-0306            Impact factor:   2.124


  7 in total

Review 1.  Analysis of RNA in the estimation of post-mortem interval: a review of current evidence.

Authors:  Salvatore Scrivano; Matteo Sanavio; Pamela Tozzo; Luciana Caenazzo
Journal:  Int J Legal Med       Date:  2019-07-18       Impact factor: 2.686

2.  Exploration of the R code-based mathematical model for PMI estimation using profiling of RNA degradation in rat brain tissue at different temperatures.

Authors:  Jianlong Ma; Hui Pan; Yan Zeng; Yehui Lv; Heng Zhang; Aimin Xue; Jieqing Jiang; Kaijun Ma; Long Chen
Journal:  Forensic Sci Med Pathol       Date:  2015-09-12       Impact factor: 2.007

3.  MicroRNA Stability in Postmortem FFPE Tissues: Quantitative Analysis Using Autoptic Samples from Acute Myocardial Infarction Patients.

Authors:  Yu Kakimoto; Hiroshi Kamiguchi; Eriko Ochiai; Fumiko Satoh; Motoki Osawa
Journal:  PLoS One       Date:  2015-06-05       Impact factor: 3.240

4.  MicroRNA-410-5p as a potential serum biomarker for the diagnosis of prostate cancer.

Authors:  Jiaqi Wang; Huamao Ye; Dandan Zhang; Yijun Hu; Xiya Yu; Long Wang; Changjing Zuo; Yongwei Yu; Guixia Xu; Shanrong Liu
Journal:  Cancer Cell Int       Date:  2016-02-19       Impact factor: 5.722

Review 5.  MicroRNAs as Useful Tools to Estimate Time Since Death. A Systematic Review of Current Literature.

Authors:  Aniello Maiese; Andrea Scatena; Andrea Costantino; Marco Di Paolo; Raffaele La Russa; Emanuela Turillazzi; Paola Frati; Vittorio Fineschi
Journal:  Diagnostics (Basel)       Date:  2021-01-03

6.  Quantitative analysis of noncoding RNA from paired fresh and formalin-fixed paraffin-embedded brain tissues.

Authors:  Yehui Lv; Shiying Li; Zhihong Li; Ruiyang Tao; Yu Shao; Yijiu Chen
Journal:  Int J Legal Med       Date:  2019-12-01       Impact factor: 2.686

7.  Postmortem mRNA expression patterns in left ventricular myocardial tissues and their implications for forensic diagnosis of sudden cardiac death.

Authors:  Gi Hoon Son; Seong Hwan Park; Yunmi Kim; Ji Yeon Kim; Jin Wook Kim; Sooyoung Chung; Yu-Hoon Kim; Hyun Kim; Juck-Joon Hwang; Joong-Seok Seo
Journal:  Mol Cells       Date:  2014-03-19       Impact factor: 5.034

  7 in total

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