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DNA Profiling of Spermatozoa by Laser Capture Microdissection and Low Volume-PCR

Overview of attention for article published in PLOS ONE, August 2011
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Title
DNA Profiling of Spermatozoa by Laser Capture Microdissection and Low Volume-PCR
Published in
PLOS ONE, August 2011
DOI 10.1371/journal.pone.0022316
Pubmed ID
Authors

Cai-xia Li, Jun-ping Han, Wen-yan Ren, An-quan Ji, Xiu-lan Xu, Lan Hu

Abstract

Genetic profiling of sperm from complex biological mixtures such as sexual assault casework samples requires isolation of a pure sperm population and the ability to analyze low abundant samples. Current standard procedure for sperm isolation includes preferential lysis of epithelial contaminants followed by collection of intact sperm by centrifugation. While effective for samples where sperm are abundant, this method is less effective when samples contain few spermatozoa. Laser capture microdissection (LCM) is a proven method for the isolation of cells biological mixtures, even when found in low abundance. Here, we demonstrate the efficacy of LCM coupled with on-chip low volume PCR (LV-PCR) for the isolation and genotyping of low abundance sperm samples. Our results indicate that this method can obtain complete profiles (13-16 loci) from as few as 15 sperm cells with 80% reproducibility, whereas at least 40 sperm cells are required to profile 13-16 loci by standard 'in-tube' PCR. Further, LCM and LV-PCR of a sexual assault casework sample generated a DNA genotype that was consistent with that of the suspect. This method was unable, however, to analyze a casework sample from a gang rape case in which two or more sperm contributors were in a mixed population. The results indicate that LCM and LV-PCR is sensitive and effective for genotyping sperm from sperm/epithelial cell mixtures when epithelial lysis may be insufficient due to low abundance of sperm; LCM and LV-PCR, however, failed in a casework sample when spermatozoa from multiple donors was present, indicating that further study is necessitated.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 2%
Unknown 40 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 17%
Student > Ph. D. Student 6 15%
Other 5 12%
Student > Master 5 12%
Student > Doctoral Student 4 10%
Other 8 20%
Unknown 6 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 29%
Biochemistry, Genetics and Molecular Biology 7 17%
Medicine and Dentistry 4 10%
Nursing and Health Professions 2 5%
Engineering 2 5%
Other 5 12%
Unknown 9 22%