Literature DB >> 36076078

Establishment of a co-analysis system for personal identification and body fluid identification: a preliminary report.

Yuanyuan Xiao1, Dezhi Chen1, Duo Peng1, Zhilong Li2, Shengqiu Qu1, Ranran Zhang1, Guihong Liu1, Yazi Zheng1, Mengyu Tan1, Jiaming Xue1, Yimin Zhang1, Jing Zhu3, Weibo Liang4.   

Abstract

Analysis of genetic markers can provide clues for case investigation. Short tandem repeat (STR) detection and analysis are widely used for both personal identification and parentage testing. However, DNA analysis currently cannot provide sufficient information for body fluid identification. Tissue or cell sources of samples can be identified by detecting body fluid-specific mRNA markers, which have been studied thoroughly. Integrating STR profiling and mRNA expression patterns can provide more information than conventional methods for investigations and the reconstruction of crime scenes; this can be achieved by DNA/RNA co-extraction technology, which is economical, efficient, and suitable for low-template samples. Here, we propose a co-analysis system based on the PowerPlex 16 kit. This system can simultaneously amplify 25 markers, including 15 STRs, one non-STR amelogenin, and nine mRNA markers (three blood-specific, two saliva-specific, two semen-specific, and two housekeeping gene markers). The specificity and sensitivity of the co-analysis system were determined and aged and degraded samples were used to validate the stability of the co-analysis system. Finally, different DNA/RNA ratios and various carriers were evaluated. The results showed that the DNA/RNA co-analysis system correctly identified different types of body fluid stains. The STR profiles obtained using the co-analysis system were identical to those obtained using the PP16 kit, which demonstrates that the mRNA primers used did not affect STR profiling. Complete STR and mRNA profiles could be obtained from 1/8 portions of buccal swabs, 1/16 portions of swabs of blood and semen samples, 0.1 cm2 of blood samples, 0.25 cm2 of semen samples, and 1.0 cm2 saliva samples. Additionally, our findings indicate that complete STR and mRNA profiles can be obtained with this system from blood and semen samples when the DNA/RNA ratio is 1:1/32. This study suggests that the co-analysis system could be used for simultaneous personal identification and body fluid identification.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Body fluid identification; DNA; Forensic science; RNA co-extraction; mRNA profiling

Mesh:

Substances:

Year:  2022        PMID: 36076078     DOI: 10.1007/s00414-022-02886-y

Source DB:  PubMed          Journal:  Int J Legal Med        ISSN: 0937-9827            Impact factor:   2.791


  44 in total

1.  Identification of forensically relevant body fluids using a panel of differentially expressed microRNAs.

Authors:  Erin K Hanson; Helge Lubenow; Jack Ballantyne
Journal:  Anal Biochem       Date:  2009-02-03       Impact factor: 3.365

2.  Body fluid identification by integrated analysis of DNA methylation and body fluid-specific microbial DNA.

Authors:  Ajin Choi; Kyoung-Jin Shin; Woo Ick Yang; Hwan Young Lee
Journal:  Int J Legal Med       Date:  2013-09-20       Impact factor: 2.686

3.  Potential forensic application of DNA methylation profiling to body fluid identification.

Authors:  Hwan Young Lee; Myung Jin Park; Ajin Choi; Ja Hyun An; Woo Ick Yang; Kyoung-Jin Shin
Journal:  Int J Legal Med       Date:  2011-04-06       Impact factor: 2.686

Review 4.  A genomic view of short tandem repeats.

Authors:  Melissa Gymrek
Journal:  Curr Opin Genet Dev       Date:  2017-02-16       Impact factor: 5.578

5.  DNA methylation-based age prediction from saliva: High age predictability by combination of 7 CpG markers.

Authors:  Sae Rom Hong; Sang-Eun Jung; Eun Hee Lee; Kyoung-Jin Shin; Woo Ick Yang; Hwan Young Lee
Journal:  Forensic Sci Int Genet       Date:  2017-04-09       Impact factor: 4.882

Review 6.  DNA methylation-based biomarkers and the epigenetic clock theory of ageing.

Authors:  Steve Horvath; Kenneth Raj
Journal:  Nat Rev Genet       Date:  2018-06       Impact factor: 53.242

7.  Tissue specific differentially methylated regions (TDMR): Changes in DNA methylation during development.

Authors:  Fei Song; Saleh Mahmood; Srimoyee Ghosh; Ping Liang; Domminic J Smiraglia; Hiroki Nagase; William A Held
Journal:  Genomics       Date:  2008-11-13       Impact factor: 5.736

Review 8.  DNA methylation at the crossroads of gene and environment interactions.

Authors:  Pui-Pik Law; Michelle L Holland
Journal:  Essays Biochem       Date:  2019-12-20       Impact factor: 8.000

Review 9.  DNA Methylation and Psychiatric Disorders.

Authors:  Chunyu Liu; Chuan Jiao; Kangli Wang; Ning Yuan
Journal:  Prog Mol Biol Transl Sci       Date:  2018-04-11       Impact factor: 3.622

10.  Early-life social experience affects offspring DNA methylation and later life stress phenotype.

Authors:  Zachary M Laubach; Julia R Greenberg; Julie W Turner; Tracy M Montgomery; Malit O Pioon; Maggie A Sawdy; Laura Smale; Raymond G Cavalcante; Karthik R Padmanabhan; Claudia Lalancette; Bridgett vonHoldt; Christopher D Faulk; Dana C Dolinoy; Kay E Holekamp; Wei Perng
Journal:  Nat Commun       Date:  2021-07-20       Impact factor: 14.919

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