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Erschienen in: Forensic Science, Medicine and Pathology 1/2017

27.12.2016 | Technical Report

High resolution melt curve analysis based on methylation status for human semen identification

verfasst von: Caitlyn Fachet, Lawrence Quarino, K. Joy Karnas

Erschienen in: Forensic Science, Medicine and Pathology | Ausgabe 1/2017

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Abstract

A high resolution melt curve assay to differentiate semen from blood, saliva, urine, and vaginal fluid based on methylation status at the Dapper Isoform 1 (DACT1) gene was developed. Stains made from blood, saliva, urine, semen, and vaginal fluid were obtained from volunteers and DNA was isolated using either organic extraction (saliva, urine, and vaginal fluid) or Chelex® 100 extraction (blood and semen). Extracts were then subjected to bisulfite modification in order to convert unmethylated cytosines to uracil, consequently creating sequences whose amplicons have melt curves that vary depending on their initial methylation status. When primers designed to amplify the promoter region of the DACT1 gene were used, DNA from semen samples was distinguishable from other fluids by a having a statistically significant lower melting temperature. The assay was found to be sperm-significant since semen from a vasectomized man produced a melting temperature similar to the non-semen body fluids. Blood and semen stains stored up to 5 months and tested at various intervals showed little variation in melt temperature indicating the methylation status was stable during the course of the study. The assay is a more viable method for forensic science practice than most molecular-based methods for body fluid stain identification since it is time efficient and utilizes instrumentation common to forensic biology laboratories. In addition, the assay is advantageous over traditional presumptive chemical methods for body fluid identification since results are confirmatory and the assay offers the possibility of multiplexing which may test for multiple body fluids simultaneously.
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Metadaten
Titel
High resolution melt curve analysis based on methylation status for human semen identification
verfasst von
Caitlyn Fachet
Lawrence Quarino
K. Joy Karnas
Publikationsdatum
27.12.2016
Verlag
Springer US
Erschienen in
Forensic Science, Medicine and Pathology / Ausgabe 1/2017
Print ISSN: 1547-769X
Elektronische ISSN: 1556-2891
DOI
https://doi.org/10.1007/s12024-016-9825-6

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