Literature DB >> 24611529

A time course study demonstrating mRNA, microRNA, 18S rRNA, and U6 snRNA changes to estimate PMI in deceased rat's spleen.

Ye-hui Lv1, Kai-jun Ma, Heng Zhang, Meng He, Ping Zhang, Yi-wen Shen, Nan Jiang, Duan Ma, Long Chen.   

Abstract

Determining the postmortem interval (PMI) is important in criminal, civil, and forensic cases. We examined the feasibility of using the transcript abundances of mRNAs, 18S rRNA, U6 snRNA, and microRNAs as a means to estimate the PMI. We removed spleen tissues from rats at different PMIs under 4°C or 25°C and examined gene transcript abundances in these samples by RT-qPCR. Using the algorithm geNorm, we found that microRNAs to be appropriate control markers because they were less affected by PMI and temperature. We also characterized relationships between observed PMI and the transcript levels of the above-mentioned RNAs. GAPDH1 and ACTB1 fluctuated slightly like cubic curves, while GAPDH2 and ACTB2 decreased rapidly. 18S rRNA transcript level exhibited a parabolic-like trend at 25°C and exponential growth at 4°C, while U6 transcript level exhibited exponential decay at 25°C and a parabolic-like trend at 4°C. Following validation, we conclude that GAPDH2, ACTB2, and 18S rRNA are suitable makers in the accurate determination of PMI.
© 2014 American Academy of Forensic Sciences.

Entities:  

Keywords:  RNA; forensic pathology; forensic science; postmortem interval; reverse transcription quantitative real-time PCR; transcript abundance

Mesh:

Substances:

Year:  2014        PMID: 24611529     DOI: 10.1111/1556-4029.12447

Source DB:  PubMed          Journal:  J Forensic Sci        ISSN: 0022-1198            Impact factor:   1.832


  16 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.  Estimation of the human postmortem interval using an established rat mathematical model and multi-RNA markers.

Authors:  Ye-Hui Lv; Jian-Long Ma; Hui Pan; Yan Zeng; Li Tao; Heng Zhang; Wen-Can Li; Kai-Jun Ma; Long Chen
Journal:  Forensic Sci Med Pathol       Date:  2016-12-28       Impact factor: 2.007

3.  Distribution of miRNA expression across human tissues.

Authors:  Nicole Ludwig; Petra Leidinger; Kurt Becker; Christina Backes; Tobias Fehlmann; Christian Pallasch; Steffi Rheinheimer; Benjamin Meder; Cord Stähler; Eckart Meese; Andreas Keller
Journal:  Nucleic Acids Res       Date:  2016-02-25       Impact factor: 16.971

4.  Evaluating the potential of housekeeping genes, rRNAs, snRNAs, microRNAs and circRNAs as reference genes for the estimation of PMI.

Authors:  Chunyan Tu; Tieshuai Du; Chengchen Shao; Zengjia Liu; Liliang Li; Yiwen Shen
Journal:  Forensic Sci Med Pathol       Date:  2018-04-24       Impact factor: 2.007

5.  Postmortem expression of apoptosis-related genes in the liver of mice and their use for estimation of the time of death.

Authors:  Peter A Noshy
Journal:  Int J Legal Med       Date:  2020-09-10       Impact factor: 2.686

6.  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

7.  Integrated microRNA and messenger RNA analysis in aortic stenosis.

Authors:  Sean Coffey; Michael J A Williams; L Vicky Phillips; Ivor F Galvin; Richard W Bunton; Gregory T Jones
Journal:  Sci Rep       Date:  2016-11-23       Impact factor: 4.379

8.  Bias in recent miRBase annotations potentially associated with RNA quality issues.

Authors:  Nicole Ludwig; Meike Becker; Timo Schumann; Timo Speer; Tobias Fehlmann; Andreas Keller; Eckart Meese
Journal:  Sci Rep       Date:  2017-07-12       Impact factor: 4.379

9.  Using Postmortem hippocampi tissue can interfere with differential gene expression analysis of the epileptogenic process.

Authors:  João Paulo Lopes Born; Heloisa de Carvalho Matos; Mykaella Andrade de Araujo; Olagide Wagner Castro; Marcelo Duzzioni; José Eduardo Peixoto-Santos; João Pereira Leite; Norberto Garcia-Cairasco; Maria Luisa Paçó-Larson; Daniel Leite Góes Gitaí
Journal:  PLoS One       Date:  2017-08-04       Impact factor: 3.240

10.  The effects of storage temperature and duration of blood samples on DNA and RNA qualities.

Authors:  Lien-Hung Huang; Pei-Hsien Lin; Kuo-Wang Tsai; Liang-Jen Wang; Ying-Hsien Huang; Ho-Chang Kuo; Sung-Chou Li
Journal:  PLoS One       Date:  2017-09-19       Impact factor: 3.240

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