Literature DB >> 30121738

Whose blood is it? Application of DEPArray™ technology for the identification of individual/s who contributed blood to a mixed stain.

K Anslinger1, B Bayer2.   

Abstract

The interpretation and statistical evaluation of mixed DNA profiles often presents a particular challenge in forensic DNA investigations. Only in specific combinations can single cellular components of a mixture be assigned to one contributor. In this study, the DEPArray™ technology, which enables image-assisted immunofluorescent-sorting of rare single cells using dielectrophoretic (DEP) forces, was applied together with different preliminary tests to identify the individual/s who contributed blood to a given mixture. The technique was successfully applied in two routine casework samples. In order to ascertain how old a stain can be and still be processed successfully, white blood cells from two 10- and one 27-year-old stains were investigated. Depending on the stain's age, the associated DNA degradation level and the number of target cells successfully isolated, the final profile reflects a compromise between the gain of information due to isolation of pure cells of a specific cell type from a single contributor and the loss of discriminatory power due to incomplete profiles caused by DNA degradation.

Keywords:  Cell separation; Cold case; DEPArray™ technology; Mixed DNA profiles; White blood cells

Mesh:

Year:  2018        PMID: 30121738     DOI: 10.1007/s00414-018-1912-7

Source DB:  PubMed          Journal:  Int J Legal Med        ISSN: 0937-9827            Impact factor:   2.686


  2 in total

Review 1.  DEPArray™ system: An automatic image-based sorter for isolation of pure circulating tumor cells.

Authors:  Mariano Di Trapani; Nicolò Manaresi; Gianni Medoro
Journal:  Cytometry A       Date:  2018-12       Impact factor: 4.355

2.  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

  2 in total

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