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Forensic transcriptome analysis using massively parallel sequencing

Haas, Cordula; Neubauer, Jacqueline; Salzmann, Andrea Patrizia; Hanson, Erin; Ballantyne, Jack (2021). Forensic transcriptome analysis using massively parallel sequencing. Forensic Science International. Genetics, 52:102486.

Abstract

The application of transcriptome analyses in forensic genetics has experienced tremendous growth and development in the past decade. The earliest studies and main applications were body fluid and tissue identification, using targeted RNA transcripts and a reverse transcription endpoint PCR method. A number of markers have been identified for the forensically most relevant body fluids and tissues and the method has been successfully used in casework. The introduction of Massively Parallel Sequencing (MPS) opened up new perspectives and opportunities to advance the field. Contrary to genomic DNA where two copies of an autosomal DNA segment are present in a cell, abundant RNA species are expressed in high copy numbers. Even whole transcriptome sequencing (RNA-Seq) of forensically relevant body fluids and of postmortem material was shown to be possible. This review gives an overview on forensic transcriptome analyses and applications. The methods cover whole transcriptome as well as targeted MPS approaches. High resolution forensic transcriptome analyses using MPS are being applied to body fluid/ tissue identification, determination of the age of stains and the age of the donor, the estimation of the post-mortem interval and to post mortem death investigations.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > Institute of Legal Medicine
Dewey Decimal Classification:340 Law
610 Medicine & health
510 Mathematics
Scopus Subject Areas:Health Sciences > Pathology and Forensic Medicine
Life Sciences > Genetics
Uncontrolled Keywords:Pathology and Forensic Medicine, Genetics
Language:English
Date:1 May 2021
Deposited On:23 Mar 2021 14:37
Last Modified:25 Dec 2024 02:37
Publisher:Elsevier
ISSN:1872-4973
OA Status:Hybrid
Publisher DOI:https://doi.org/10.1016/j.fsigen.2021.102486
PubMed ID:33657509
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