Title

Rna/Dna Co-Analysis From Blood Stains - Results Of A Second Collaborative Ednap Exercise

Keywords

Blood; Body fluid identification; EDNAP exercise; Forensic science; mRNA profiling; RNA/DNA co-extraction

Abstract

A second collaborative exercise on RNA/DNA co-analysis for body fluid identification and STR profiling was organized by the European DNA Profiling Group (EDNAP). Six human blood stains, two blood dilution series (5-0.001 μl blood) and, optionally, bona fide or mock casework samples of human or non-human origin were analyzed by the participating laboratories using a RNA/DNA co-extraction or solely RNA extraction method. Two novel mRNA multiplexes were used for the identification of blood: a highly sensitive duplex (HBA, HBB) and a moderately sensitive pentaplex (ALAS2, CD3G, ANK1, SPTB and PBGD). The laboratories used different chemistries and instrumentation. All of the 18 participating laboratories were able to successfully isolate and detect mRNA in dried blood stains. Thirteen laboratories simultaneously extracted RNA and DNA from individual stains and were able to utilize mRNA profiling to confirm the presence of blood and to obtain autosomal STR profiles from the blood stain donors. The positive identification of blood and good quality DNA profiles were also obtained from old and compromised casework samples. The method proved to be reproducible and sensitive using different analysis strategies. The results of this collaborative exercise involving a RNA/DNA co-extraction strategy support the potential use of an mRNA based system for the identification of blood in forensic casework that is compatible with current DNA analysis methodology. © 2011 Elsevier Ireland Ltd. All rights reserved.

Publication Date

1-1-2012

Publication Title

Forensic Science International: Genetics

Volume

6

Issue

1

Number of Pages

70-80

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1016/j.fsigen.2011.02.004

Socpus ID

82655181293 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/82655181293

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