Correlation between RNA Degradation Patterns of Rat's Brain and Early PMI at Different Temperatures.
10.3969/j.issn.1004-5619.2016.03.002
- Author:
Ye Hui LÜ
1
;
Zhi Hong LI
1
;
Ya TUO
1
;
Li LIU
1
;
Kun LI
1
;
Jie BIAN
1
;
Jian Long MA
2
;
Long CHEN
2
Author Information
1. School of Basic Medical Science, Shanghai University of Medicine & Health Science, Shanghai 201318, China.
2. Department of Forensic Medicine, School of Basic Medical Science, Fudan University, Shanghai 200032, China.
- Publication Type:Journal Article
- Keywords:
RNA;
degradation;
forensic pathology;
postmortem intervals;
rats;
temperature
- MeSH:
Actins/metabolism*;
Animals;
Autopsy;
Brain/pathology*;
Genetic Markers;
MicroRNAs;
Models, Theoretical;
Postmortem Changes;
RNA Stability;
RNA, Small Nuclear;
Rats;
Rats, Sprague-Dawley;
Real-Time Polymerase Chain Reaction;
Regression Analysis;
Software;
Temperature;
Time Factors
- From:
Journal of Forensic Medicine
2016;32(3):165-170
- CountryChina
- Language:English
-
Abstract:
OBJECTIVES:To explore the correlation between early postmortem interval （PMI） and eight RNA markers of rat's brain at different temperatures.
METHODS:Total 222 SD rats were randomly divided into control group （PMI=0 h） and four experimental groups. And the rats in the experimental groups were sacrificed by cervical dislocation and respectively kept at 5 ℃, 15 ℃, 25 ℃ and 35 ℃ in a controlled environment chamber. The RNA was extracted from brain tissues, which was taken at 9 time points from 1 h to 24 h postmortem. The expression levels of eight markers, β-actin, GAPDH, RPS29, 18S rRNA, 5S rRNA, U6 snRNA, miRNA-9 and miRNA-125b, were detected using real-time fluorescent quantitative PCR, respectively. Proper internal reference was selected by geNorm software. Regression analysis of normalized RNA markers was performed by SPSS software. Mathematical model for PMI estimation was established using R software. Another 6 SD rats with known PMI were used to verify the mathematical model.
RESULTS:5S rRNA, miR-9 and miR-125b were suitable as internal reference markers for their stable expression. Both β-actin and GAPDH had well time-dependent degradation patterns and degraded continually with prolongation of PMI in 24 h postmortem. The mathematical model of the variation of ΔCt values with PMI and temperature was set up by R software and the model could be used for PMI estimation. The average error rates of model validation using β-actin and GAPDH were 14.1% and 22.2%, respectively.
CONCLUSIONS:The expression levels of β-actin and GAPDH are well correlated with PMI and environmental temperature. The mathematical model established in present study can provide references for estimating early PMI under various temperature conditions.
