Partial validation of multiplexed real-time quantitative PCR assays for forensic body fluid identification

High-throughput sperm screening using one-step RT-qPCR: Improvement and re-evaluation

Sperm identification is crucial in sexual assault cases. While microscopic analysis is the gold standard for sperm detection, it is a laborious procedure even for trained personnel. Reverse transcription-quantitative real-time PCR (RT-qPCR) can enhance the screening by detecting sperm-specific mRNA markers, such as protamine 2 (PRM2). This study aimed to develop a one-step RT-qPCR assay targeting PRM2 mRNA. Our assay was capable of detecting as low as 0.01 μL of semen with high specificity and demonstrated successful detection of PRM2 mRNA in simulated-case samples. Owing to the simple workflow involved, our assay requires <30 min for RNA extraction and <60 min for RT-qPCR. Our assay enables high-throughput sperm screening and offers a promising strategy for enhancing the workflow of sexual assault cases.

Towards the identification of body fluids using RT-LAMP isothermal amplification coupled with CRISPR-Cas12a

While often necessary in sexual assault cases, confirmatory identification of body fluids can be a lengthy and/or costly process. In particular, the detection of vaginal fluid and menstrual fluid in forensic casework is limited to endpoint reverse-transcription PCR to detect fluid-specific messenger RNA (mRNA) markers as there are no robust chemical or enzymatic techniques available for these fluids. Similarly, testing for rectal mucosa is not possible with standard methods, the presence of which would provide probative value in cases of alleged anal penetration, although mRNA-based markers have recently been described. Reverse-transcription loop-mediated isothermal amplification (RT-LAMP) is an alternative technique that enables detection of mRNA at a single temperature (usually 60-65℃) for 10-30 minutes and has comparable sensitivity to PCR. We describe the coupling of RT-LAMP amplification (60℃ for 30 minutes) with CRISPR-mediated fluorescent detection of the body fluid specific mRNA markers MMP3 (menstrual fluid), CYP2B7P (vaginal material), TNP1 (spermatozoa), KLK2 (semen), and MUC12 (rectal mucosa). Following temperature optimization and final selection of RT-LAMP-CRISPR assays, their specificity across circulatory blood, buccal, menstrual fluid, vaginal material, semen, and rectal mucosa was assessed. Most assays were specific for their intended target body fluid, although MMP3 and CYP2B7P were detected in some rectal mucosa samples, the latter of which has been observed previously in the literature. A preliminary sensitivity assessment in target fluids was determined by a dilution series over six logs of RNA input. A range of assay approaches were investigated to develop a protocol suitable for use in a forensic screening laboratory. This included the determination of fluorescent assay results by eye, use of lyophilised reagents, and RT-LAMP and CRISPR reactions undertaken in one-tube in a lower resource setting.

Developing an interpretation model for body fluid identification

Criminal investigations, particularly sexual assaults, frequently require the identification of body fluid type in addition to body fluid donor to provide context. In most cases this can be achieved by conventional methods, however, in certain scenarios, alternative molecular methods are required. An example of this is the detection of menstrual fluid and vaginal material, which are not able to be identified using conventional techniques. Endpoint reverse-transcription PCR (RT-PCR) is currently used for this purpose to amplify body fluid specific messenger RNA (mRNA) transcripts in forensic casework. Real-time quantitative reverse-transcription PCR (RT-qPCR) is a similar method but utilises fluorescent markers to generate quantitative results in the form of threshold cycle (Cq) values. Despite the uncertainty surrounding body fluid identification, most interpretation guidelines utilise categorical statements. Probabilistic modelling is more realistic as it reflects biological variation as well as the known performance of the method. This research describes the application of various machine learning models to single-source mRNA profiles obtained by RT-qPCR and assesses their performance. Multinomial logistic regression (MLR), Naïve Bayes (NB), and linear discriminant analysis (LDA) were used to discriminate between the following body fluid categories: saliva, circulatory blood, menstrual fluid, vaginal material, and semen. We identified that the performance of MLR was somewhat improved when the quantitative dataset of the original Cq values was used (overall accuracy of approximately 0.95) rather than presence/absence coded data (overall accuracy of approximately 0.94). This indicates that the quantitative information obtained by RT-qPCR amplification is useful in assigning body fluid class. Of the three classification methods, MLR performed the best. When we utilised receiver operating characteristic curves to observe performance by body fluid class, it was clear that all methods found difficulty in classifying menstrual blood samples. Future work will involve the modelling of body fluid mixtures, which are common in samples analysed as part of sexual assault investigations.

Indirect DNA Transfer and Forensic Implications: A Literature Review

Progress in DNA profiling techniques has made it possible to detect even the minimum amount of DNA at a crime scene (i.e., a complete DNA profile can be produced using as little as 100 pg of DNA, equivalent to only 15-20 human cells), leading to new defense strategies. While the evidence of a DNA trace is seldom challenged in court by a defendant's legal team, concerns are often raised about how the DNA was transferred to the location of the crime. This review aims to provide an up-to-date overview of the experimental work carried out focusing on indirect DNA transfer, analyzing each selected paper, the experimental method, the sampling technique, the extraction protocol, and the main results. Scopus and Web of Science databases were used as the search engines, including 49 papers. Based on the results of this review, one of the factors that influence secondary transfer is the amount of DNA shed by different individuals. Another factor is the type and duration of contact between individuals or objects (generally, more intimate or prolonged contact results in more DNA transfer). A third factor is the nature and quality of the DNA source. However, there are exceptions and variations depending on individual characteristics and environmental conditions. Considering that secondary transfer depends on multiple factors that interact with each other in unpredictable ways, it should be considered a complex and dynamic phenomenon that can affect forensic investigation in various ways, for example, placing a subject at a crime scene who has never been there. Correct methods and protocols are required to detect and prevent secondary transfer from compromising forensic evidence, as well as the correct interpretation through Bayesian networks. In this context, the definition of well-designed experimental studies combined with the use of new forensic techniques could improve our knowledge in this challenging field, reinforcing the value of DNA evidence in criminal trials.