Literature DB >> 10404147

Separation of sperm and vaginal cells based on ploidy, MHC class I-, CD45-, and cytokeratin expression for enhancement of DNA typing after sexual assault.

W M Schoell1, M Klintschar, R Mirhashemi, D Strunk, A Giuliani, G Bogensberger, B Pertl.   

Abstract

BACKGROUND: Successful DNA typing after rape is limited when only a few sperm and numerous vaginal cells are recovered from a swab, resulting in an extremely unfavorable ratio of male to female DNA. The goal of this study was to develop a protocol involving sperm cell sorting with flow cytometry based on differences in ploidy, major histocompatibility (MHC) class I, CD45 and cytokeratin expression.
METHODS: Vaginal lavages were mixed with serially diluted ejaculate. After immunostaining and stoichiometric nuclear staining, spermatocytes were isolated by fluorescence-activated cell sorting. All sorted cells were used for DNA extraction and subsequent quantitative fluorescent multiplex polymerase chain reaction. The preferential lysis was performed for comparison.
RESULTS: The sorting procedure was superior to the preferential lysis method within all tested dilutions. One documented case of rape was examined with both procedures and only after cell sorting with flow cytometry was the male DNA identified.
CONCLUSIONS: We were able to show that separation of sperm and vaginal cells using cell sorting with flow cytometry may be crucial when there is only a few sperm detectable after rape. Copyright 1999 Wiley-Liss, Inc.

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Year:  1999        PMID: 10404147     DOI: 10.1002/(sici)1097-0320(19990801)36:4<319::aid-cyto6>3.3.co;2-c

Source DB:  PubMed          Journal:  Cytometry        ISSN: 0196-4763


  8 in total

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Review 2.  Separation/extraction, detection, and interpretation of DNA mixtures in forensic science (review).

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3.  Simplification of complex DNA profiles using front end cell separation and probabilistic modeling.

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4.  Fluorescence- and magnetic-activated cell sorting strategies to separate spermatozoa involving plural contributors from biological mixtures for human identification.

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5.  Analysis of cellular autofluorescence in touch samples by flow cytometry: implications for front end separation of trace mixture evidence.

Authors:  M Katherine Philpott; Cristina E Stanciu; Ye Jin Kwon; Eduardo E Bustamante; Susan A Greenspoon; Christopher J Ehrhardt
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6.  Flow cytometry dataset for cells collected from touched surfaces.

Authors:  Ye Jin Kwon; Cristina E Stanciu; M Katherine Philpott; Christopher J Ehrhardt
Journal:  F1000Res       Date:  2016-03-23

7.  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

8.  Label-free analysis of the characteristics of a single cell trapped by acoustic tweezers.

Authors:  Min Gon Kim; Jinhyoung Park; Hae Gyun Lim; Sangpil Yoon; Changyang Lee; Jin Ho Chang; K Kirk Shung
Journal:  Sci Rep       Date:  2017-10-26       Impact factor: 4.379

  8 in total

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