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Analysis of red autofluorescence (650-670nm) in epidermal cell populations and its potential for distinguishing contributors to 'touch' biological samples [version 1; referees: 2 approved]

Authors :
Cristina E. Stanciu
M. Katherine Philpott
Eduardo E. Bustamante
Ye Jin Kwon
Christopher J. Ehrhardt
Source :
F1000Research, Vol 5 (2016)
Publication Year :
2016
Publisher :
F1000 Research Ltd, 2016.

Abstract

Interpretation of touch DNA mixtures poses a significant challenge for forensic caseworking laboratories. Front end techniques that facilitate separation of contributor cell populations before DNA extraction are a way to circumvent this problem. The goal of this study was to survey intrinsic fluorescence of epidermal cells collected from touch surfaces and investigate whether this property could potentially be used to discriminate between contributor cell populations in a biological mixture. Analysis of red autofluorescence (650-670nm) showed that some contributors could be distinguished on this basis. Variation was also observed between autofluorescence profiles of epidermal cell populations from a single contributor sampled on different days. This dataset suggests that red autofluorescence may be a useful marker for identifying distinct cell populations in some mixtures. Future efforts should continue to investigate the extrinsic or intrinsic factors contributing to this signature, and to identify additional biomarkers that could complement this system.

Details

Language :
English
ISSN :
20461402
Volume :
5
Database :
Directory of Open Access Journals
Journal :
F1000Research
Publication Type :
Academic Journal
Accession number :
edsdoj.f63cfa076ac445e4ad1b7d3d0075371a
Document Type :
article
Full Text :
https://doi.org/10.12688/f1000research.8036.1