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      Rapid and inexpensive body fluid identification by RNA profiling-based multiplex High Resolution Melt (HRM) analysis

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          Abstract

          Positive identification of the nature of biological material present on evidentiary items can be crucial for understanding the circumstances surrounding a crime. However, traditional protein-based methods do not permit the identification of all body fluids and tissues, and thus molecular based strategies for the conclusive identification of all forensically relevant biological fluids and tissues need to be developed. Messenger RNA (mRNA) profiling is an example of such a molecular-based approach. Current mRNA body fluid identification assays involve 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 analysis time. For qRT-PCR assays, only 3-4 markers can be included in a single reaction since each requires a different fluorescent dye.

          To simplify mRNA profiling assays, and reduce the time and cost of analysis, we have developed single- and multiplex body fluid High Resolution Melt (HRM) assays for the identification of common forensically relevant biological fluids and tissues. The incorporated biomarkers include IL19 (vaginal secretions), IL1F7 (skin), ALAS2 (blood), MMP10 (menstrual blood), HTN3 (saliva) and TGM4 (semen).  The HRM assays require only unlabeled PCR primers and a single saturating intercalating fluorescent dye (Eva Green). Each body-fluid-specific marker can easily be identified by the presence of a distinct melt peak. Usually, HRM assays are used to detect variants or isoforms for a single gene target. However, we have uniquely developed duplex and triplex HRM assays to permit the simultaneous detection of multiple targets per reaction. Here we describe the development and initial performance evaluation of the developed HRM assays. The results demonstrate the potential use of HRM assays for rapid, and relatively inexpensive, screening of biological evidence.

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          Sensitivity and specificity of single-nucleotide polymorphism scanning by high-resolution melting analysis.

          Screening for heterozygous sequence changes in PCR products, also known as "mutation scanning", is an important tool for genetic research and clinical applications. Conventional methods require a separation step. We evaluated the sensitivity and specificity of homogeneous scanning, using a saturating DNA dye and high-resolution melting. Heterozygous single-nucleotide polymorphism (SNP) detection was studied in three different sequence backgrounds of 40%, 50%, and 60% GC content. PCR products of 50-1000 bp were generated in the presence of LCGreen I. After fluorescence normalization and temperature overlay, melting curve shape was used to judge the presence or absence of heterozygotes among 1632 cases. For PCR products of 300 bp or less, all 280 heterozygous and 296 wild-type cases were correctly called without error. In 672 cases between 400 and 1000 bp with the mutation centered, the sensitivity and specificity were 96.1% and 99.4%, respectively. When the sequence background and product size with the greatest error rate were used, the sensitivity of off-center SNPs (384 cases) was 95.6% with a specificity of 99.4%. Most false negatives occurred with SNPs that were compared with an A or T wild type sequence. High-resolution melting analysis with the dye LCGreen I identifies heterozygous single-base changes in PCR products with a sensitivity and specificity comparable or superior to nonhomogeneous techniques. The error rate of scanning depends on the PCR product size and the type of base change, but not on the position of the SNP. The technique requires only PCR reagents, the dye LCGreen I, and 1-2 min of closed-tube, post-PCR analysis.
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            High-resolution melting analysis (HRMA): more than just sequence variant screening.

            Transition of the double-stranded DNA molecule to its two single strands, DNA denaturation or melting, has been used for many years to study DNA structure and composition. Recent technological advances have improved the potential of this technology, especially to detect variants in the DNA sequence. Sensitivity and specificity were increased significantly by the development of so-called saturating DNA dyes and by improvements in the instrumentation to measure the melting behavior (improved temperature precision combined with increased measurements per time unit and drop in temperature). Melt analysis using these new instruments has been designated high-resolution melting curve analysis (HRM or HRMA). Based on its ease of use, simplicity, flexibility, low cost, nondestructive nature, superb sensitivity, and specificity, HRMA is quickly becoming the tool of choice to screen patients for pathogenic variants. Here we will briefly discuss the latest developments in HRMA and review in particular other applications that have thus far received less attention, including presequence screening, single nucleotide polymorphism (SNP) typing, methylation analysis, quantification (copy number variants and mosaicism), an alternative to gel-electrophoresis and clone characterization. Together, these diverse applications make HRMA a multipurpose technology and a standard tool that should be present in any laboratory studying nucleic acids.
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              A hierarchy of propositions: deciding which level to address in casework

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                Author and article information

                Journal
                F1000Res
                F1000Res
                F1000Research
                F1000Research
                F1000Research (London, UK )
                2046-1402
                26 February 2014
                2013
                : 2
                : 281
                Affiliations
                [1 ]National Center for Forensic Science, Orlando, FL 32816-2367, USA
                [2 ]Department of Chemistry, University of Central Florida, Orlando, FL 32816-2366, USA
                [1 ]Department of Human Biological Traces, Netherlands Forensic Institute, The Hague, Netherlands
                [1 ]Department of Human Biological Traces, Netherlands Forensic Institute, The Hague, Netherlands
                University of Central Florida, USA
                [1 ]Vrije Universiteit Brussel, Brussels, Belgium
                University of Central Florida, USA
                Author notes

                Author Jack Ballantyne conceived the study, designed the experiments, reviewed and analyzed results. Author Erin Hanson assisted with the design of experiments, performed the laboratory work, and reviewed and analyzed results. Both authors prepared and edited the manuscript.

                Competing interests: No competing interests were disclosed.

                Competing interests: No competing interests were disclosed.

                Competing interests: No competing interests were disclosed.

                Competing interests: No competing interests were disclosed.

                Competing interests: No competing interests were disclosed.

                Competing interests: No competing interests were disclosed.

                Article
                10.12688/f1000research.2-281.v2
                3976110
                24715968
                87751981-74eb-4ea3-9c97-b57c5d3dd419
                Copyright: © 2014 Hanson EK and Ballantyne J

                This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                Data associated with the article are available under the terms of the Creative Commons Zero "No rights reserved" data waiver (CC0 1.0 Public domain dedication).

                History
                : 25 February 2014
                Funding
                Funded by: State of Florida
                Funded by: University of Central Florida
                Support for this project was provided by the State of Florida through the National Center for Forensic Science at the University of Central Florida. The opinions, findings and conclusions or recommendations expressed in this publication are those of the authors and do not necessarily reflect those of the State of Florida. No grants were involved in supporting this work.
                The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Articles
                Bioinformatics
                Medical Genetics

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