Can mRNA markers distinguish traces generated by different types of contact?

Bhoelai, Bryan; Jong, Bas de; Sijen, Titia

doi:10.1016/j.fsigss.2013.10.001

Cited by 3 publications

(1 citation statement)

References 4 publications

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“…These researchers acknowledge that if touch DNA consisted of naked DNA in body secretions such as sweat or sebaceous fluid, skin-specific mRNA markers may be present at a concentration too low to be detected. Several mRNA markers were used to determine whether different epidermal layers could help identify the type of activity, such as a firm grip or a casual touch, that gave rise to a transfer (Bhoelai et al 2013). The study did not establish any relationship with the type of contact.…”

Section: Mechanisms Of Dna Transfermentioning

confidence: 99%

(Draft) DNA Mixture Interpretation

Butler¹

2021

Preprint

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The initial release of this report is a draft document, and we welcome comments and feedback from readers. All relevant submitted comments will be made publicly available and will be considered when finalizing this report. Do not include personal information, such as account numbers or Social Security numbers, or names of other individuals. Do not submit confidential business information, or otherwise proprietary, sensitive, or protected information. We will not post or consider comments that contain profanity, vulgarity, threats, or other inappropriate language or like content. During the 60-day comment period, comments may be sent to scientificfoundationreviews@nist.gov. All comments, including commenter name and affiliation, will be published at https://www.nist.gov/dna-mixture-interpretation-nist-scientific-foundation-review. Certain commercial entities, equipment, or materials may be identified in this document in order to describe an experimental procedure or concept adequately. Such identification is not intended to imply recommendation or endorsement by the authors or the National Institute of Standards and Technology, nor is it intended to imply that the entities, materials, or equipment are necessarily the best available for the purpose.

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Section: Mechanisms Of Dna Transfermentioning

confidence: 99%

(Draft) DNA Mixture Interpretation

Butler¹

2021

Preprint

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

Berge

Carracedo

Gomes

et al. 2014

Forensic Science International: Genetics

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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.

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