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Transcription and microbial profiling of body fluids using a massively parallel sequencing approach


Salzmann, Andrea Patrizia; Russo, Giancarlo; Aluri, Sirisha; Haas, Cordula (2019). Transcription and microbial profiling of body fluids using a massively parallel sequencing approach. Forensic Science International. Genetics, 43:102149.

Abstract

Analysis of biological evidence typically begins with a preliminary screening for the presence of biological fluids, traditionally with enzymatic or immunologic tests and of late by RNA profiling. The goal of this study was to create a whole transcriptome protocol, to view potential degradation effects in forensically relevant body fluids. Total RNA from fresh and aged blood, menstrual blood, saliva, semen, skin and vaginal secretion was analyzed with a massively parallel sequencing method. Two RNA-Seq library protocols with and without rRNA depletion were tested and compared. The rRNA depletion step had a negative influence on the sequencing quality and on the downstream analyses. From the human and bacterial RNA sequences, source-specific signatures could be identified. Aged samples showed in general a higher level of RNA degradation and decreased bacterial diversity. In summary, we could show that transcriptional profiling and metagenome analysis are powerful tools to provide additional information about the trace evidence.

Abstract

Analysis of biological evidence typically begins with a preliminary screening for the presence of biological fluids, traditionally with enzymatic or immunologic tests and of late by RNA profiling. The goal of this study was to create a whole transcriptome protocol, to view potential degradation effects in forensically relevant body fluids. Total RNA from fresh and aged blood, menstrual blood, saliva, semen, skin and vaginal secretion was analyzed with a massively parallel sequencing method. Two RNA-Seq library protocols with and without rRNA depletion were tested and compared. The rRNA depletion step had a negative influence on the sequencing quality and on the downstream analyses. From the human and bacterial RNA sequences, source-specific signatures could be identified. Aged samples showed in general a higher level of RNA degradation and decreased bacterial diversity. In summary, we could show that transcriptional profiling and metagenome analysis are powerful tools to provide additional information about the trace evidence.

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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 November 2019
Deposited On:16 Dec 2019 11:44
Last Modified:22 Apr 2020 21:45
Publisher:Elsevier
ISSN:1872-4973
OA Status:Closed
Publisher DOI:https://doi.org/10.1016/j.fsigen.2019.102149
PubMed ID:31470211
Project Information:
  • : FunderSNSF
  • : Grant ID310030L_175854
  • : Project TitleDetermination of the Time since Deposition (TsD) of biological traces

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