Literature DB >> 29173452

Practical evaluation of an RNA-based saliva identification method.

Ken Watanabe1, Tomoko Akutsu2, Ayari Takamura2, Koichi Sakurada3.   

Abstract

Identifying saliva in samples found at crime scenes is important to clarify the tissue origin of DNA obtained for identification of individuals. Recently, a novel messenger RNA-based approach using two saliva-specific markers, Statherin (STATH) and Histatin 3 (HTN3), has been reported. This method can identify saliva more specifically than conventional amylase-based methods. Here, we performed several evaluations related to applying this method to real-world forensic work. First, we evaluated the effects of exposure to blue light (450nm) or to the reagent on Phadebas paper, which are direct methods used to locate saliva stains, on the stability of the RNA markers. The results demonstrate that exposure to the two direct tests did not affect the stability of the RNA markers. Second, we performed a comparative analysis of RNA-based and amylase-based conventional methods to examine the sensitivity and stability of the markers under various storage conditions. Although there was no difference in the sensitivity of the two methods for detecting 1-day-old saliva stains, a time-course study demonstrated that the RNA saliva markers were less stable than amylase, especially in wet conditions. During this time-course experiment, the stability of human DNA was also investigated. Although DNA was also unstable in wet conditions, it was more stable than the RNA markers in dry conditions. Taking the above results into consideration, we suggest that the RNA method could be introduced to current saliva identification procedures and should be used as a supplementary method to strongly support identification of saliva by the amylase-based method.
Copyright © 2017 The Chartered Society of Forensic Sciences. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Body fluid identification; Messenger RNA; Real-time polymerase chain reaction; Saliva

Mesh:

Substances:

Year:  2017        PMID: 29173452     DOI: 10.1016/j.scijus.2017.07.001

Source DB:  PubMed          Journal:  Sci Justice        ISSN: 1355-0306            Impact factor:   2.124


  6 in total

1.  Overcoming challenges in human saliva gene expression measurements.

Authors:  Patrick Ostheim; Ales Tichý; Igor Sirak; Marie Davidkova; Marketa Markova Stastna; Gabriela Kultova; Tatjana Paunesku; Gayle Woloschak; Matthaeus Majewski; Matthias Port; Michael Abend
Journal:  Sci Rep       Date:  2020-07-07       Impact factor: 4.379

2.  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

3.  Examining potential confounding factors in gene expression analysis of human saliva and identifying potential housekeeping genes.

Authors:  P Ostheim; S W Alemu; A Tichý; I Sirak; M Davidkova; M Markova Stastna; G Kultova; S Schuele; T Paunesku; G Woloschak; S A Ghandhi; S A Amundson; M Haimerl; C Stroszczynski; M Port; M Abend
Journal:  Sci Rep       Date:  2022-02-10       Impact factor: 4.379

4.  Estimating the Time Since Deposition of Saliva Stains With a Targeted Bacterial DNA Approach: A Proof-of-Principle Study.

Authors:  Celia Díez López; Manfred Kayser; Athina Vidaki
Journal:  Front Microbiol       Date:  2021-06-02       Impact factor: 5.640

Review 5.  Current Methods for Body Fluid Identification Related to Sexual Crime: Focusing on Saliva, Semen, and Vaginal Fluid.

Authors:  Koichi Sakurada; Ken Watanabe; Tomoko Akutsu
Journal:  Diagnostics (Basel)       Date:  2020-09-14

Review 6.  Dental Radiographic/Digital Radiography Technology along with Biological Agents in Human Identification.

Authors:  Mohsen Yazdanian; Shahryar Karami; Elahe Tahmasebi; Mostafa Alam; Kamyar Abbasi; Mahdi Rahbar; Hamid Tebyaniyan; Reza Ranjbar; Alexander Seifalian; Alireza Yazdanian
Journal:  Scanning       Date:  2022-01-18       Impact factor: 1.932

  6 in total

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