Literature DB >> 11950901

Toward efficient analysis of mutations in single cells from ethanol-fixed, paraffin-embedded, and immunohistochemically stained tissues.

Ernst Heinmöller1, Qiang Liu, Yuan Sun, Gudrun Schlake, Kathleen A Hill, Larry M Weiss, Steve S Sommer.   

Abstract

Only a few studies have demonstrated successful molecular analysis after whole genome amplification using single cells dissected from paraffin-embedded tissues. The results in these studies were limited by low-amplification efficiency and high rates of allele dropout. In the present study, the amplification rate using a thoroughly modified primer extension and preamplification-PCR protocol was improved significantly for single cells microdissected from paraffin-embedded and immunohistochemically stained tissues. Tissue fixation with ethanol (85%) and the addition of 0.2 mmol/L EDTA helped to achieve an amplification rate between 67% (segments 200 to 400 bp) and 72% (segments <200 bp). Normal tissue sections were immunohistochemically double stained for overabundance of p53 protein and proliferating cell nuclear antigen. Microdissection of single cells was performed with a manual micromanipulator equipped with a Tungsten needle. Sequence analysis of the TP53 gene was performed after improved primer extension preamplification-PCR and multiplex PCR from single microdissected cells. The rate of allele dropout was at least 68%. These technical advances facilitate routine mutation analysis using a single cell or a few cells microdissected from routinely processed paraffin-embedded normal and tumor tissues. Allele dropout still represents a serious problem in single-cell mutation analysis, especially in samples with limited template DNA and prone to DNA damage.

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Year:  2002        PMID: 11950901     DOI: 10.1038/labinvest.3780437

Source DB:  PubMed          Journal:  Lab Invest        ISSN: 0023-6837            Impact factor:   5.662


  7 in total

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6.  A simple strategy for reducing false negatives in calling variants from single-cell sequencing data.

Authors:  Cong Ji; Zong Miao; Xionglei He
Journal:  PLoS One       Date:  2015-04-13       Impact factor: 3.240

7.  Amplification of multiple genomic loci from single cells isolated by laser micro-dissection of tissues.

Authors:  Dan Frumkin; Adam Wasserstrom; Shalev Itzkovitz; Alon Harmelin; Gideon Rechavi; Ehud Shapiro
Journal:  BMC Biotechnol       Date:  2008-02-20       Impact factor: 2.563

  7 in total

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