Title

Multiplex Mrna Profiling For The Identification Of Body Fluids

Keywords

Blood identification; Body fluid identification; Menstrual blood identification; mRNA profiling; Multiplex RT-PCR; RNA; Saliva identification; Semen identification; Vaginal secretions identification

Abstract

We report the development of a multiplex reverse transcription-polymerase chain reaction (RT-PCR) method for the definitive identification of the body fluids that are commonly encountered in forensic casework analysis, namely blood, saliva, semen, and vaginal secretions. Using selected genes that we have identified as being expressed in a tissue-specific manner we have developed a multiplex RT-PCR assay which is composed of eight body fluid-specific genes and that is optimized for the detection of blood, saliva, semen, and vaginal secretions as single or mixed stains. The genes include β-spectrin (SPTB) and porphobilinogen deaminase (PBGD) for blood, statherin (STATH) and histatin 3 (HTN3) for saliva, protamine 1 (PRM1) and protamine 2 (PRM2) for semen, and human beta-defensin 1 (HBD-1) and mucin 4 (MUC4) for vaginal secretions. The known or presumed functions of these genes suggest an extremely restricted pattern of gene expression, which is a basic requirement for incorporation into a tissue-specific assay. The methodology is based upon gene expression profiling analysis in which the body fluid-specific genes are identified by detecting the presence of appropriate mRNA species using capillary electrophoresis/laser induced fluorescence. An mRNA-based approach, such as the multiplex RT-PCR method described in the present work, allows for the facile identification of the tissue components present in a body fluid stain and could supplant the battery of serological and biochemical tests currently employed in the forensic serology laboratory. © 2005 Elsevier Ireland Ltd. All rights reserved.

Publication Date

8-11-2005

Publication Title

Forensic Science International

Volume

152

Issue

1

Number of Pages

1-12

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1016/j.forsciint.2005.02.020

Socpus ID

20444399544 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/20444399544

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