Literature DB >> 29602061

Enhanced DNA mixture deconvolution of sexual offense samples using the DEPArray™ system.

Victoria R Williamson1, Taylor M Laris1, Rita Romano2, Michael A Marciano3.   

Abstract

The interpretation of DNA mixtures remains a significant challenge in the analysis of forensic evidence. The ability to selectively identify, collect, and analyze single cells or groups of cells has wide implications in the analysis of forensic samples and the subsequent deconvolution of DNA mixtures, particularly in the processing and interpretation of sexual offense evidence where the deconvolution of heterogeneous sources is essential. Single cell separation technology can be used to address this mixture separation challenge, specifically using the DEPArray™ system from Menarini Silicon Biosystems. We propose that the DEPArray™ will enable enhancements to the standard workflow for forensic biology/DNA analytical laboratories. We have demonstrated that the DEPArray™ workflow will lead to fewer mixture samples, enable purification of sperm and epithelial cell fractions without the need for differential extraction, improve the amplification success rate of samples and improve the interpretation of low template DNA samples. Sperm profiles were identified in 27 of 32 DEPArray™ processed samples, with 26 of 27 (96.2%) yielding single source profiles. In contrast, single source profiles were obtained from 9 of 28 (32.1%) differentially extracted samples. The use of the DEPArray™ also eliminates the need for additional confirmatory tests for the presence of human sperm and permits direct identification of the type and number of cells being analyzed eliminating the need for qPCR-based DNA quantification.
Copyright © 2018 The Author(s). Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  DNA mixture; Deconvolution; Differential extraction; Sexual offense; Single-cell analysis; Spermatozoa

Mesh:

Substances:

Year:  2018        PMID: 29602061     DOI: 10.1016/j.fsigen.2018.03.001

Source DB:  PubMed          Journal:  Forensic Sci Int Genet        ISSN: 1872-4973            Impact factor:   4.882


  8 in total

1.  Towards developing forensically relevant single-cell pipelines by incorporating direct-to-PCR extraction: compatibility, signal quality, and allele detection.

Authors:  Nidhi Sheth; Harish Swaminathan; Amanda J Gonzalez; Ken R Duffy; Catherine M Grgicak
Journal:  Int J Legal Med       Date:  2021-01-23       Impact factor: 2.686

2.  Comparison between MACSprep™ forensic sperm microbead kit and Erase Sperm Isolation kit for the enrichment of sperm fractions recovered from sexual assault samples.

Authors:  Frederic Grosjean; Marylou Favre; Vincent Castella
Journal:  Int J Legal Med       Date:  2022-06-30       Impact factor: 2.686

3.  Optical tweezers as an effective tool for spermatozoa isolation from mixed forensic samples.

Authors:  Nicole Auka; Michael Valle; Bobby D Cox; Peter D Wilkerson; Tracey Dawson Cruz; Joseph E Reiner; Sarah J Seashols-Williams
Journal:  PLoS One       Date:  2019-02-07       Impact factor: 3.240

Review 4.  Transcriptome variation in human populations and its potential application in forensics.

Authors:  P Daca-Roszak; E Zietkiewicz
Journal:  J Appl Genet       Date:  2019-08-10       Impact factor: 3.240

5.  Revisiting single cell analysis in forensic science.

Authors:  Davis R L Watkins; Dan Myers; Hannah E Xavier; Michael A Marciano
Journal:  Sci Rep       Date:  2021-03-29       Impact factor: 4.379

6.  Precision DNA Mixture Interpretation with Single-Cell Profiling.

Authors:  Jianye Ge; Jonathan L King; Amy Smuts; Bruce Budowle
Journal:  Genes (Basel)       Date:  2021-10-20       Impact factor: 4.096

7.  Cell Subsampling Recovers Probative DNA Profile Information from Unresolvable/Undetectable Minor Donors in Mixtures.

Authors:  Kaitlin Huffman; Erin Hanson; Jack Ballantyne
Journal:  Genes (Basel)       Date:  2022-06-22       Impact factor: 4.141

8.  Pushing the Boundaries: Forensic DNA Phenotyping Challenged by Single-Cell Sequencing.

Authors:  Marta Diepenbroek; Birgit Bayer; Katja Anslinger
Journal:  Genes (Basel)       Date:  2021-08-30       Impact factor: 4.096

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.