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Cell Death-Associated Ribosomal RNA Cleavage in Postmortem Tissues and Its Forensic Applications

Title
Cell Death-Associated Ribosomal RNA Cleavage in Postmortem Tissues and Its Forensic Applications
Authors
Kim, Ji YeonKim, YunmiCha, Hyo KyeongLim, Hye YoungKim, HyungsubChung, SooyoungHwang, Juck-JoonPark, Seong HwanSon, Gi Hoon
Ewha Authors
정수영
SCOPUS Author ID
정수영scopus
Issue Date
2017
Journal Title
MOLECULES AND CELLS
ISSN
1016-8478JCR Link

0219-1032JCR Link
Citation
MOLECULES AND CELLS vol. 40, no. 6, pp. 410 - 417
Keywords
28S ribosomal RNA (rRNA)cell death-associated RNA cleavagepostmortem interval (PMI)RNA degradation
Publisher
KOREAN SOC MOLECULAR &

CELLULAR BIOLOGY
Indexed
SCIE; SCOPUS; KCI WOS scopus
Document Type
Article
Abstract
Estimation of postmortem interval (PMI) is a key issue in the field of forensic pathology. With the availability of quantitative analysis of RNA levels in postmortem tissues, several studies have assessed the postmortem degradation of constitutively expressed RNA species to estimate PMI. However, conventional RNA quantification as well as biochemical and physiological changes employed thus far have limitations related to standardization or normalization. The present study focuses on an interesting feature of the subdomains of certain RNA species, in which they are site-specifically cleaved during apoptotic cell death. We found that the D8 divergent domain of ribosomal RNA (rRNA) bearing cell death-related cleavage sites was rapidly removed during postmortem RNA degradation. In contrast to the fragile domain, the 5' terminal region of 28S rRNA was remarkably stable during the postmortem period. Importantly, the differences in the degradation rates between the two domains in mammalian 28S rRNA were highly proportional to increasing PMI with a significant linear correlation observed in mice as well as human autopsy tissues. In conclusion, we demonstrate that comparison of the degradation rates between domains of a single RNA species provides quantitative information on postmortem degradation states, which can be applied for the estimation of PMI.
DOI
10.14348/molcells.2017.0039
Appears in Collections:
스크랜튼대학 > 융합학부 > Journal papers
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