Literature DB >> 24552886

A collaborative European exercise on mRNA-based body fluid/skin typing and interpretation of DNA and RNA results.

M van den Berge1, A Carracedo2, I Gomes3, E A M Graham4, C Haas5, B Hjort6, P Hoff-Olsen7, O Maroñas8, B Mevåg7, N Morling6, H Niederstätter9, W Parson10, P M Schneider3, D Syndercombe Court11, A Vidaki11, T Sijen12.   

Abstract

The European Forensic Genetics Network of Excellence (EUROFORGEN-NoE) undertook a collaborative project on mRNA-based body fluid/skin typing and the interpretation of the resulting RNA and DNA data. Although both body fluids and skin are composed of a variety of cell types with different functions and gene expression profiles, we refer to the procedure as 'cell type inference'. Nine laboratories participated in the project and used a 20-marker multiplex to analyse samples that were centrally prepared and thoroughly tested prior to shipment. Specimens of increasing complexity were assessed that ranged from reference PCR products, cDNAs of indicated or unnamed cell type source(s), to challenging mock casework stains. From this specimen set, information on the overall sensitivity and specificity of the various markers was obtained. In addition, the reliability of a scoring system for inference of cell types was assessed. This scoring system builds on replicate RNA analyses and the ratio observed/possible peaks for each cell type [1]. The results of the exercise support the usefulness of this scoring system. When interpreting the data obtained from the analysis of the mock casework stains, the participating laboratories were asked to integrate the DNA and RNA results and associate donor and cell type where possible. A large variation for the integrated interpretations of the DNA and RNA data was obtained including correct interpretations. We infer that with expertise in analysing RNA profiles, clear guidelines for data interpretation and awareness regarding potential pitfalls in associating donors and cell types, mRNA-based cell type inference can be implemented for forensic casework.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Body fluid identification; EUROFORGEN exercise; Forensic science; RNA interpretation; mRNA profiling

Mesh:

Substances:

Year:  2014        PMID: 24552886     DOI: 10.1016/j.fsigen.2014.01.006

Source DB:  PubMed          Journal:  Forensic Sci Int Genet        ISSN: 1872-4973            Impact factor:   4.882


  11 in total

1.  Simultaneous analysis of nuclear and mitochondrial DNA, mRNA and miRNA from backspatter from inside parts of firearms generated by shots at "triple contrast" doped ballistic models.

Authors:  Melanie Grabmüller; Christian Schyma; Jan Euteneuer; Burkhard Madea; Cornelius Courts
Journal:  Forensic Sci Med Pathol       Date:  2015-07-26       Impact factor: 2.007

2.  Specific microbes of saliva and vaginal fluid of Guangdong Han females based on 16S rDNA high-throughput sequencing.

Authors:  Hongyan Huang; Ting Yao; Weibin Wu; Chuangyan Zhai; Tianshan Guan; Yali Song; Yunxia Sun; Cheng Xiao; Peiyan Liang; Ling Chen
Journal:  Int J Legal Med       Date:  2019-01-04       Impact factor: 2.686

3.  DNA and RNA profiling of excavated human remains with varying postmortem intervals.

Authors:  M van den Berge; D Wiskerke; R R R Gerretsen; J Tabak; T Sijen
Journal:  Int J Legal Med       Date:  2016-09-14       Impact factor: 2.686

4.  Improving body fluid identification in forensic trace evidence-construction of an immunochromatographic test array to rapidly detect up to five body fluids simultaneously.

Authors:  Hannah Holtkötter; Kristina Schwender; Peter Wiegand; Heidi Peiffer; Marielle Vennemann
Journal:  Int J Legal Med       Date:  2017-10-29       Impact factor: 2.686

5.  Marker evaluation for differentiation of blood and menstrual fluid by methylation-sensitive SNaPshot analysis.

Authors:  Hannah Holtkötter; Kristina Schwender; Peter Wiegand; Heidi Pfeiffer; Marielle Vennemann
Journal:  Int J Legal Med       Date:  2018-01-25       Impact factor: 2.686

6.  Establishment of a co-analysis system for personal identification and body fluid identification: a preliminary report.

Authors:  Yuanyuan Xiao; Dezhi Chen; Duo Peng; Zhilong Li; Shengqiu Qu; Ranran Zhang; Guihong Liu; Yazi Zheng; Mengyu Tan; Jiaming Xue; Yimin Zhang; Jing Zhu; Weibo Liang
Journal:  Int J Legal Med       Date:  2022-09-08       Impact factor: 2.791

7.  Human Organ Tissue Identification by Targeted RNA Deep Sequencing to Aid the Investigation of Traumatic Injury.

Authors:  Erin Hanson; Jack Ballantyne
Journal:  Genes (Basel)       Date:  2017-11-10       Impact factor: 4.096

8.  A Proposed Procedure for Discriminating between Nasal Secretion and Saliva by RT-qPCR.

Authors:  Tomoko Akutsu; Ken Watanabe
Journal:  Diagnostics (Basel)       Date:  2020-07-26

9.  Methylation Markers for the Identification of Body Fluids and Tissues from Forensic Trace Evidence.

Authors:  Sophia Forat; Bruno Huettel; Richard Reinhardt; Rolf Fimmers; Gerhard Haidl; Dominik Denschlag; Klaus Olek
Journal:  PLoS One       Date:  2016-02-01       Impact factor: 3.240

10.  Distinct spectrum of microRNA expression in forensically relevant body fluids and probabilistic discriminant approach.

Authors:  Shuntaro Fujimoto; Sho Manabe; Chie Morimoto; Munetaka Ozeki; Yuya Hamano; Eriko Hirai; Hirokazu Kotani; Keiji Tamaki
Journal:  Sci Rep       Date:  2019-10-04       Impact factor: 4.379

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