title: Evaluating the forensic application of 19 target microRNAs as biomarkers in body fluid and tissue identification.
abstract: RNA-based body fluid and tissue identification has evolved as a promising and reliable new technique to classify type and source of biological evidence in crime cases. In particular, mRNA-based approaches are currently on the rise to replace conventional protein-based methods and are increasingly implemented into forensic casework. However, degradation of these nucleic acid molecules can cause issues on laboratory scale and need to be considered for a credible investigation. For this reason, the analysis of miRNAs using qPCR has been proposed to be a sensitive and specific approach to identify the origin of a biological trace taking advantage of their small size and resistance to degradation. Despite the straightforward workflow of this method, suitable endogenous controls are inevitable when performing real-time PCR to ensure accurate normalization of gene expression data in order to allow a meaningful interpretation. In this regard, we have validated reference genes for a set of forensically relevant body fluids and tissues (blood, saliva, semen, vaginal secretions, menstrual blood and skin) and tested 15 target genes aiming to identify abovementioned sample types. Our data showed that preselected endogenous controls (miR26b, miR92 and miR484) and miR144, initially selected as potential marker for the detection of menstrual blood, were the most stable expressed genes among our set of samples. Normalizing qPCR data with these four validated references revealed that only five miRNA markers are necessary to differentiate between the six different cell types selected in this study. Nevertheless, our observations in the present study indicate that miRNA analysis methods may not provide straightforward data interpretation strategies required for an implementation in forensic casework.
authors.affiliation: Institute of Legal Medicine, Faculty of Medicine, University of Cologne, Cologne, Germany. Electronic address: Miriam.Sirker@uk-koeln.de.
authors.forename: M
authors.initials: M
authors.lastname: Sirker
authors.affiliation: Institute of Biometrics, Informatics and Epidemiology, University of Bonn, Bonn, Germany.
authors.forename: R
authors.initials: R
authors.lastname: Fimmers
authors.affiliation: Institute of Legal Medicine, Faculty of Medicine, University of Cologne, Cologne, Germany.
authors.forename: P M
authors.initials: PM
authors.lastname: Schneider
authors.affiliation: Institute of Legal Medicine, Faculty of Medicine, University of Cologne, Cologne, Germany.
authors.forename: I
authors.initials: I
authors.lastname: Gomes
mesh_terms: D001774:Blood Chemical Analysis; D002582:Cervix Mucus / Q000737:chemistry; D005260:Female; D053803:Forensic Genetics; D005819:Genetic Markers; D006801:Humans; D008297:Male; D008598:Menstruation; D035683:MicroRNAs / Q000235:genetics*; D060888:Real-Time Polymerase Chain Reaction; D012463:Saliva / Q000737:chemistry; D012661:Semen / Q000737:chemistry; D012867:Skin / Q000737:chemistry
chemical_list: D005819:Genetic Markers; D035683:MicroRNAs
keywords: Body fluid identification; Forensic science; Normalization; RT qPCR; Skin; miRNA profiling