Literature DB >> 23719955

Circulating microRNA for the identification of forensically relevant body fluids.

Erin K Hanson1, Jack Ballantyne.   

Abstract

The development of molecular genetics-based body fluid identification methods in forensic science has become necessary to provide greater sensitivity and specificity than that obtained using conventional serological and immunological methods. Numerous studies have demonstrated the ability to identify the body fluid origin of forensically relevant biological stains using messenger RNA expression analysis. However, the length of the amplified products used in these assays may not be ideal for use with highly degraded or environmentally compromised forensic casework samples. Therefore a novel approach to body fluid identification using small RNA profiling (e.g., microRNA or miRNA profiling) was developed in an attempt to improve the success of analysis with highly degraded samples. We have identified a set of nine differentially expressed miRNAs that permit the identification of the body fluid origin of forensic biological stains and in this chapter provide the detailed procedures for performing these assays.

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Year:  2013        PMID: 23719955     DOI: 10.1007/978-1-62703-453-1_18

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  3 in total

1.  Novel identification of biofluids using a multiplex methylation-specific PCR combined with single-base extension system.

Authors:  Yu-Chih Lin; Li-Chin Tsai; James Chun-I Lee; Kuo-Lan Liu; Jason Tze-Cheng Tzen; Adrian Linacre; Hsing-Mei Hsieh
Journal:  Forensic Sci Med Pathol       Date:  2016-03-14       Impact factor: 2.007

2.  Investigation of the Application of miR10b and miR135b in the Identification of Semen Stains.

Authors:  Dayue Tong; Yi Jin; Tianyu Xue; Xiaoyan Ma; Jinxiang Zhang; Xueling Ou; Jianding Cheng; Hongyu Sun
Journal:  PLoS One       Date:  2015-09-10       Impact factor: 3.240

Review 3.  Potential applications of microRNA profiling to forensic investigations.

Authors:  Claire L Glynn
Journal:  RNA       Date:  2019-10-28       Impact factor: 4.942

  3 in total

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