Literature DB >> 23937933

RNA cell typing and DNA profiling of mixed samples: can cell types and donors be associated?

Joyce Harteveld1, Alexander Lindenbergh, Titia Sijen.   

Abstract

Forensic samples regularly involve mixtures, which are readily recognised in forensic analyses. Combined DNA and mRNA profiling is an upcoming forensic practice to examine donors and cell types from the exact same sample. From DNA profiles individual genotypes may be deconvoluted, but to date no studies have established whether the cell types identified in corresponding RNA profiles can be associated with individual donors. Although RNA expression levels hold many variables from which an association may not be expected, proof of concept is important to forensic experts who may be cross examined about this possible correlation in court settings. Clearly, the gender-specificity of certain body fluids (semen, vaginal mucosa, menstrual secretion) can be instructive. However, when donors of the same gender or gender-neutral cell types are involved, alternatives are needed. Here we analyse basic two-component mixtures (two cell types provided by different donors) composed of six different cell types, and assess whether the heights of DNA and RNA peaks may guide association of donor and cell type. Divergent results were obtained; for some mixtures RNA peak heights followed the DNA results, but for others the major DNA component did not present higher RNA peaks. Also, variation in mixture ratios was observed for RNA profiling replicates and when different donor couples gave the same two body fluids. As sample degradation may affect the two nucleic acids and/or distinct cell types differently (and thus influence donor and cell type association), mixtures were subjected to elevated temperature or UV-light. Variation in DNA and RNA stability was observed both between and within cell types and depended on the method inducing degradation. Taken together, we discourage to associate cell types and donors from peak heights when performing RNA and DNA profiling.
Copyright © 2013 Forensic Science Society. Published by Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Cell typing; Degradation; Forensic science; Mixed samples; RNA mixtures; RNA profiling

Mesh:

Substances:

Year:  2013        PMID: 23937933     DOI: 10.1016/j.scijus.2013.02.001

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


  6 in total

1.  DNA and RNA profiling of excavated human remains with varying postmortem intervals.

Authors:  M van den Berge; D Wiskerke; R R R Gerretsen; J Tabak; T Sijen
Journal:  Int J Legal Med       Date:  2016-09-14       Impact factor: 2.686

2.  Assigning forensic body fluids to donors in mixed body fluids by targeted RNA/DNA deep sequencing of coding region SNPs.

Authors:  S Ingold; G Dørum; E Hanson; J Ballantyne; C Haas
Journal:  Int J Legal Med       Date:  2020-01-27       Impact factor: 2.686

3.  Development of a mRNA profiling multiplex for the inference of organ tissues.

Authors:  Alexander Lindenbergh; Margreet van den Berge; Roelof-Jan Oostra; Cindy Cleypool; Annette Bruggink; Ate Kloosterman; Titia Sijen
Journal:  Int J Legal Med       Date:  2013-07-10       Impact factor: 2.686

4.  Human Organ Tissue Identification by Targeted RNA Deep Sequencing to Aid the Investigation of Traumatic Injury.

Authors:  Erin Hanson; Jack Ballantyne
Journal:  Genes (Basel)       Date:  2017-11-10       Impact factor: 4.096

Review 5.  On the Identification of Body Fluids and Tissues: A Crucial Link in the Investigation and Solution of Crime.

Authors:  Titia Sijen; SallyAnn Harbison
Journal:  Genes (Basel)       Date:  2021-10-28       Impact factor: 4.096

6.  Development of highly sensitive and specific mRNA multiplex system (XCYR1) for forensic human body fluids and tissues identification.

Authors:  Yan Xu; Jianhui Xie; Yu Cao; Huaigu Zhou; Yuan Ping; Liankang Chen; Lihua Gu; Wei Hu; Gang Bi; Jianye Ge; Xin Chen; Ziqin Zhao
Journal:  PLoS One       Date:  2014-07-03       Impact factor: 3.240

  6 in total

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