2015
DOI: 10.1007/s12024-015-9703-7
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Exploration of the R code-based mathematical model for PMI estimation using profiling of RNA degradation in rat brain tissue at different temperatures

Abstract: Precise estimation of postmortem interval (PMI) is crucial in some criminal cases. This study aims to find some optimal markers for PMI estimation and build a mathematical model that could be used in various temperature conditions. Different mRNA and microRNA markers in rat brain samples were detected using real-time fluorescent quantitative PCR at 12 time points within 144 h postmortem and at temperatures of 4, 15, 25, and 35 °C. Samples from 36 other rats were used to verify the animal mathematical model. Br… Show more

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Cited by 37 publications
(24 citation statements)
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“…These results suggested that gene expression changes vary with PMI, and this characteristic might be used to estimate the PMI. Several studies have suggested that mRNA can be used to estimate PMI 3, 9, 19, 31, 32 . Our study thus provides novel direction for selection of the most suitable mRNA indicator for estimating PMI accurately.…”
Section: Discussionmentioning
confidence: 99%
“…These results suggested that gene expression changes vary with PMI, and this characteristic might be used to estimate the PMI. Several studies have suggested that mRNA can be used to estimate PMI 3, 9, 19, 31, 32 . Our study thus provides novel direction for selection of the most suitable mRNA indicator for estimating PMI accurately.…”
Section: Discussionmentioning
confidence: 99%
“…Total RNA was extracted from the samples following the methods described by Ma et al [32]. Briefly, cDNA was generated using a PrimeScript RT Reagent Kit (Takara, Japan) according to the manufacturer's protocol, and 500 ng of total RNA was reverse transcribed by adding a polyA tail using a One-Step Prime-Script miRNA cDNA Synthesis Kit (Takara, Japan) according to the manufacturer's protocol for microRNA analysis.…”
Section: Methodsmentioning
confidence: 99%
“…Our experimental design provided "proof of principle" and did not consider factors such as temperature, which have been considered in other PMI models (e.g. [34]). Future studies are needed to incorporate the effects of temperature and the environment on PMI predictions in order to make the design more universal.…”
Section: Pmi Can Be Predicted From Transcript Abundances Of a Set Of mentioning
confidence: 99%