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Kinetic modelling and meta-analysis of the B. subtilis SigA regulatory network during spore germination and outgrowth

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388971%3A_____%2F17%3A00477942" target="_blank" >RIV/61388971:_____/17:00477942 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11310/17:10362597

  • Result on the web

    <a href="http://dx.doi.org/10.1016/j.bbagrm.2017.06.003" target="_blank" >http://dx.doi.org/10.1016/j.bbagrm.2017.06.003</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.bbagrm.2017.06.003" target="_blank" >10.1016/j.bbagrm.2017.06.003</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Kinetic modelling and meta-analysis of the B. subtilis SigA regulatory network during spore germination and outgrowth

  • Original language description

    This study describes the meta-analysis and kinetic modelling of gene expression control by sigma factor SigA of Bacillus subtilis during germination and outgrowth based on microarray data from 14 time points. The analysis computationally models the direct interaction among SigA, SigA-controlled sigma factor genes (sigh, sigH, sigD, sigX), and their target genes. Of the > 800 known genes in the SigA regulon, as extracted from databases, 311 genes were analysed, and 190 were confirmed by the kinetic model as being controlled by SigA. For the remaining genes, alternative regulators satisfying kinetic constraints were suggested. The kinetic analysis suggested another 214 genes as potential SigA targets. The modelling was able to (i) create a particular SigA-controlled gene expression network that is active under the conditions for which the expression time series was obtained, and where SigA is the dominant regulator, (ii) suggest new potential SigA target genes, and (iii) fmd other possible regulators of a given gene or suggest a new mechanism of its control by identifying a matching profile of unknown regulator(s). Selected predicted regulatory interactions were experimentally tested, thus validating the model.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10606 - Microbiology

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Biochimica et Biophysica Acta-Gene Regulatory Mechanisms

  • ISSN

    1874-9399

  • e-ISSN

  • Volume of the periodical

    1860

  • Issue of the periodical within the volume

    8

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    11

  • Pages from-to

    894-904

  • UT code for WoS article

    000407658800008

  • EID of the result in the Scopus database

    2-s2.0-85024900599