Title
Multiplex High Resolution Melt (Hrm) Messenger Rna Profiling Assays For Body Fluid Identification
Keywords
Body fluid identification; Forensic science; High resolution melt (HRM) analysis; Messenger RNA (mRNA) profiling
Abstract
Traditional body fluid identification methods use a variety of technologically diverse techniques that do not permit the identification of all body fluids. Definitive identification of the biological material present can be crucial to a fuller understanding of the circumstances pertaining to a crime. Thus definitive molecular based strategies for the conclusive identification of forensically relevant biological fluids need to be developed. Messenger (mRNA) profiling is an example of such a molecular based approach. Current mRNA body fluid identification assays typically involve either capillary electrophoresis (CE) or quantitative RT-PCR (qRT-PCR) platforms, each with its own limitations. Both platforms require the use of expensive fluorescently labeled primers or probes. CE-based assays require separate amplification and detection steps thus increasing the time required for analysis. For qRT-PCR assays, only 3 or 4 markers can be included in a single reaction since each requires a different fluorescent dye. To simplify mRNA profiling assays and to reduce the time and cost of analysis, we have developed multiplex high resolution melt (HRM) assays that provide an identification of all forensically relevant biological fluids and tissues. © 2013 Elsevier Ireland Ltd.
Publication Date
10-28-2013
Publication Title
Forensic Science International: Genetics Supplement Series
Volume
4
Issue
1
Number of Pages
-
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1016/j.fsigss.2013.10.064
Copyright Status
Unknown
Socpus ID
84889882136 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84889882136
STARS Citation
Hanson, E. K. and Ballantyne, J., "Multiplex High Resolution Melt (Hrm) Messenger Rna Profiling Assays For Body Fluid Identification" (2013). Scopus Export 2010-2014. 6371.
https://stars.library.ucf.edu/scopus2010/6371