ABSTRACT
The potential application of mRNA for the identification of biological fluids using molecular techniques has been a recent development in forensic serology. Constitutively expressed housekeeping genes can assess the amount of mRNA recovered from a sample, establish its suitability for downstream applications, and provide a reference point to corroborate the identity of the fluid. qPCR was utilized to compare the expression levels of housekeeping genes from forensic-like body fluid stains to establish the most appropriate assessment of human mRNA quantity prior to profiling. Although variability was observed between fluids and individuals, results indicated that beta-2 microglobulin exhibited the highest expression for all body fluids examined and across donors. A one-way analysis of variance was performed for housekeeping gene variability between donors (at the α, 0.05, significance level), and the results indicated significant differences for semen, vaginal secretions, and menstrual blood.
Subject(s)
Gene Expression Profiling , RNA, Messenger/metabolism , Actins/genetics , Adult , Analysis of Variance , Blood Chemical Analysis , Cervix Mucus/chemistry , Cyclophilin A/genetics , Female , Forensic Genetics , Gene Expression , Glyceraldehyde 3-Phosphate/genetics , Humans , Male , Menstruation , Middle Aged , Phosphoglycerate Kinase/genetics , Real-Time Polymerase Chain Reaction , Ribosomal Proteins/genetics , Saliva/chemistry , Semen/chemistry , beta 2-Microglobulin/geneticsABSTRACT
The identification of forensically relevant human body fluids through messenger RNA (mRNA) profiling is of interest to the forensic community. Previous studies have proposed several tissue-specific mRNA markers to achieve this goal. Seven markers for the following genes were selected for evaluation in this study: histatin 3 (HTN3) and statherin (STATH) for saliva, mucin 4 (MUC4) for vaginal secretions, matrix metalloproteinase 7 (MMP7) for menstrual blood, delta-aminolevulinate synthase 2 (ALAS2) for peripheral blood, and protamine 2 (PRM2) and transglutaminase 4 (TGM4) for semen. The expression of these markers was examined in each body fluid. All mRNA markers were present in their target body fluids. Peripheral blood and saliva showed little cross-reactivity with the selected markers. However, a high level of cross-reactivity was observed between the vaginal secretion marker MUC4 and saliva stains. Semen showed a high level of cross-reactivity with the selected markers. Co-expression of the predicted body fluid markers was detected in menstrual blood and vaginal secretion stains. The expression pattern of these mRNA markers varied through the menstrual cycle time points tested. Differences in gene expression levels and marker cross-reactivity were observed in the donors tested. Despite the presence of cross-reactivity and co-expression, each of the body fluids examined have distinct gene expression profiles, allowing for body fluid identification based on mRNA profiling.
Subject(s)
Cervix Mucus/metabolism , Menstruation/blood , RNA, Messenger/metabolism , Saliva/metabolism , Semen/metabolism , 5-Aminolevulinate Synthetase/genetics , DNA Primers , Electrophoresis, Capillary , Female , Gene Expression Profiling , Genetic Markers , Histatins/genetics , Humans , Male , Matrix Metalloproteinase 7/genetics , Mucin-4/genetics , Polymerase Chain Reaction , Protamines/genetics , Salivary Proteins and Peptides/genetics , Transglutaminases/geneticsABSTRACT
Quantification of RNA is essential for various molecular biology studies. In this work, three quantification methods were evaluated: ultraviolet (UV) absorbance, microcapillary electrophoresis (MCE), and fluorescence-based quantification. Viral, bacterial, and eukaryotic RNA were measured in the 500 to 0.05-ng microl(-1) range via an ND-1000 spectrophotometer (UV), Agilent RNA 6000 kits (MCE), and Quant-iT RiboGreen assay (fluorescence). The precision and accuracy of each method were assessed and compared with a concentration derived independently using inductively coupled plasma-optical emission spectroscopy (ICP-OES). Cost, operator time and skill, and required sample volumes were also considered in the evaluation. Results indicate an ideal concentration range for each quantification technique to optimize accuracy and precision. The ND-1000 spectrophotometer exhibits high precision and accurately quantifies a 1-microl sample in the 500 to 5-ng microl(-1) range. The Quant-iT RiboGreen assay demonstrates high precision in the 1 to 0.05-ng microl(-1) range but is limited to lower RNA concentrations and is more costly than the ND-1000 spectrophotometer. The Agilent kits exhibit less precision than the ND-1000 spectrophotometer and Quant-iT RiboGreen assays in the 500 to 0.05-ng microl(-1) range. However, the Agilent kits require 1 microl of sample and can determine the integrity of the RNA, a useful feature for verifying whether the isolation process was successful.
