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AUTOMATED ZINC PROTEINS EXTRACTION FROM PROSTATIC CANCER CELLS USING MAGNETIC PARTICLES

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26620%2F12%3APU126801" target="_blank" >RIV/00216305:26620/12:PU126801 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    AUTOMATED ZINC PROTEINS EXTRACTION FROM PROSTATIC CANCER CELLS USING MAGNETIC PARTICLES

  • Original language description

    Prostate cancer is a huge problem in modern world, mainly in the developed countries. It is important to diagnose this disease as soon as possible due to its high mortality. Prostate tissue has a unique ability to accumulate zinc ions. However cancer prostate tissue loses this ability. It is therefore possible to help the diagnosis of the prostate cancer via the isolation of zinc proteins contained in prostatic tissue. This isolation can be carried out using magnetic particles modified with anti-Zn-II-antibodies. Our objective was to create a procedure for isolation of zinc proteins from prostatic cells using magnetic particles and automated pipetting station. Cell lines PNT1A and LNCaP were used for experiments. Cell line PNT1A represents healthy prostate tissue, line LNCaP represent cancer tissue. There was decreasing level (10%) of Zn-II ions observed in the cancer prostatic cell lines for the 25 and 50 mu M concentrations of zinc.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    30204 - Oncology

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2012

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    MENDELNET 2012

  • ISBN

    978-80-7375-836-3

  • ISSN

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    1174-1182

  • Publisher name

    Neuveden

  • Place of publication

    Neuveden

  • Event location

    Mendel Univ, Fac Agron, Brno

  • Event date

    Nov 21, 2012

  • Type of event by nationality

    CST - Celostátní akce

  • UT code for WoS article

    000366461200137