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Comparative proteomic profiling of culture filtrate proteins of less and highly virulent Francisella tularensis strains

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11160%2F10%3A00300542" target="_blank" >RIV/00216208:11160/10:00300542 - isvavai.cz</a>

  • Alternative codes found

    RIV/00027162:_____/10:#0000705

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Comparative proteomic profiling of culture filtrate proteins of less and highly virulent Francisella tularensis strains

  • Original language description

    Despite the dynamic progress, which has been made in last few years, important questions regarding Francisella pathogenicity still remain to be answered. In this study, we investigated the protein composition of the culture filtrate proteins of highly virulent F. tularensis subsp. tularensis, strain SCHU S4 and attenuated F. tularensis subsp. holarctica, live vaccine strain using a comparative proteomic analysis.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    EE - Microbiology, virology

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2010

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Proteomics

  • ISSN

    1615-9853

  • e-ISSN

  • Volume of the periodical

    10

  • Issue of the periodical within the volume

    24

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    11

  • Pages from-to

  • UT code for WoS article

    000285882200015

  • EID of the result in the Scopus database