Microarray screening and qRT-PCR evaluation of microRNA markers for forensic body fluid identification

Cited 42 time in scopus
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Title
Microarray screening and qRT-PCR evaluation of microRNA markers for forensic body fluid identification
Author(s)
Jong Lyul Park; Seong Min Park; Oh Hyung Kwon; H C Lee; J Y Kim; H H Seok; W S Lee; S H Lee; Yong Sung Kim; K M Woo; Seon-Young Kim
Bibliographic Citation
Electrophoresis, vol. 35, no. 21, pp. 3062-3068
Publication Year
2014
Abstract
MicroRNAs (miRNA) are a class of small (∼22 nucleotides) noncoding RNAs that regulate diverse biological processes at the post-transcriptional level. MiRNAs have great potential for forensic body fluid identification because they are expressed in a tissue specific manner and are less prone to degradation. Previous studies reported several miRNAs as body fluid specific, but there are few overlaps among them. Here, we used a genome-wide miRNA microarray containing over 1700 miRNAs to assay 20 body fluid samples and identify novel miRNAs useful for forensic body fluid identification. Based on Shannon Entropy and Q-statistics, 203 miRNAs specifically expressed in each body fluid were first selected. Eight miRNAs were then selected as novel forensically relevant miRNA markers: miR-484 and miR-182 for blood, miR-223 and miR-145 for saliva, miR-2392 and miR-3197 for semen, and miR-1260b and miR-654-5p for vaginal secretions. When the eight selected miRNAs were evaluated in 40 additional body fluid samples by qRT-PCR, they showed high sensitivity and specificity for the identification of the target body fluid. We suggest that the eight miRNAs may be candidates for developing an effective molecular assay for forensic body fluid identification.
Keyword
Body fluid identificationForensicMicroRNA
ISSN
0173-0835
Publisher
Wiley
DOI
http://dx.doi.org/10.1002/elps.201400075
Type
Article
Appears in Collections:
Division of Biomedical Research > Personalized Genomic Medicine Research Center > 1. Journal Articles
Division of Biomedical Research > Genome Editing Research Center > 1. Journal Articles
Korea Bioinformation Center > 1. Journal Articles
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