| Literature DB >> 24611529 |
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.Entities:
Keywords: RNA; forensic pathology; forensic science; postmortem interval; reverse transcription quantitative real-time PCR; transcript abundance
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Year: 2014 PMID: 24611529 DOI: 10.1111/1556-4029.12447
Source DB: PubMed Journal: J Forensic Sci ISSN: 0022-1198 Impact factor: 1.832