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Forensic transcriptome analysis using massively parallel sequencing

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ELSEVIER IRELAND LTD
DOI: 10.1016/j.fsigen.2021.102486

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Forensic science; Massively Parallel Sequencing (MPS); RNA; Transcriptome; Body fluid; tissue identification; cSNPs; TsD; Donor age; PMI; Cardiac causes of death

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Transcriptome analyses have seen significant growth in forensic genetics in recent years, with applications such as body fluid and tissue identification, determining stain and donor age, estimating post-mortem interval, and conducting post mortem death investigations. The introduction of Massively Parallel Sequencing (MPS) has opened up new possibilities for this field, allowing for high-resolution analyses and whole transcriptome sequencing of forensically relevant materials.
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.

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