<?xml version="1.0" encoding="utf-8"?>
<export-example>
  <doc>
    <id>642</id>
    <completedYear>2011</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>6</pageNumber>
    <edition/>
    <issue>11</issue>
    <volume>6</volume>
    <type>article</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Quantitative High-Resolution Genomic Analysis of Single Cancer Cells</title>
    <abstract language="eng">During cancer progression, specific genomic aberrations arise that can determine the scope of the disease and can be used as predictive or prognostic markers. The detection of specific gene amplifications or deletions in single blood-borne or disseminated tumour cells that may give rise to the development of metastases is of great clinical interest but technically challenging. In this study, we present a method for quantitative high-resolution genomic analysis of single cells. Cells were isolated under permanent microscopic control followed by high-fidelity whole genome amplification and subsequent analyses by fine tiling array-CGH and qPCR. The assay was applied to single breast cancer cells to analyze the chromosomal region centred by the therapeutical relevant EGFR gene. This method allows precise quantitative analysis of copy number variations in single cell diagnostics.</abstract>
    <parentTitle language="eng">PLoS ONE</parentTitle>
    <identifier type="issn">1932-6203</identifier>
    <identifier type="urn">urn:nbn:de:kobv:526-opus4-6426</identifier>
    <enrichment key="SourceTitle">Hannemann J, Meyer-Staeckling S, Kemming D, Alpers I, Joosse SA, Pospisil H, et al. (2011) Quantitative High-Resolution Genomic Analysis of Single Cancer Cells. PLoS ONE 6(11): e26362. doi:10.1371/journal.pone.0026362</enrichment>
    <enrichment key="DOI_VoR">https://doi.org/10.1371/journal.pone.0026362</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 2.0 Generic</licence>
    <author>Juliane Hannemann</author>
    <author>Sönke Meyer-Staeckling</author>
    <author>Dirk Kemming</author>
    <author>Iris Alpers</author>
    <author>Simon A. Joosse</author>
    <author>Heike Pospisil</author>
    <author>Stefan Kurtz</author>
    <author>Jennifer Görndt</author>
    <author>Klaus Püschel</author>
    <author>Sabine Riethdorf</author>
    <author>Klaus Pantel</author>
    <author>Burkhard Brandt</author>
    <collection role="ddc" number="616">Krankheiten</collection>
    <collection role="institutes" number="">Fachbereich Ingenieurwesen / Wirtschaftsingenieurwesen (bis 8/2014)</collection>
    <collection role="open_access" number="">open_access</collection>
    <collection role="green_open_access" number="1">Gold Open Access</collection>
    <thesisPublisher>Technische Hochschule Wildau</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-th-wildau/files/642/journal.pone.0026362.pdf</file>
  </doc>
</export-example>
