Počet záznamů: 1  

Systems genetic analysis of brown adipose tissue function

  1. 1.
    SYSNO ASEP0489317
    Druh ASEPJ - Článek v odborném periodiku
    Zařazení RIVJ - Článek v odborném periodiku
    Poddruh JČlánek ve WOS
    NázevSystems genetic analysis of brown adipose tissue function
    Tvůrce(i) Pravenec, Michal (FGU-C) RID, ORCID
    Saba, L. M. (US)
    Zídek, Václav (FGU-C) RID
    Landa, Vladimír (FGU-C) RID
    Mlejnek, Petr (FGU-C) RID, ORCID
    Šilhavý, Jan (FGU-C) RID, ORCID
    Šimáková, Miroslava (FGU-C) RID, ORCID
    Strnad, Hynek (UMG-J) RID
    Trnovská, J. (CZ)
    Škop, V. (CZ)
    Hüttl, M. (CZ)
    Marková, I. (CZ)
    Oliyarnyk, O. (CZ)
    Malínská, H. (CZ)
    Kazdová, L. (CZ)
    Smith, H. (US)
    Tabakoff, B. (US)
    Zdroj.dok.Physiological Genomics. - : American Physiological Society - ISSN 1094-8341
    Roč. 50, č. 1 (2018), s. 52-66
    Poč.str.15 s.
    Jazyk dok.eng - angličtina
    Země vyd.US - Spojené státy americké
    Klíč. slovabrown adipose tissue ; coexpression modules ; quantitative trait locus ; recombinant inbred strains ; spontaneously hypertensive rat
    Vědní obor RIVEB - Genetika a molekulární biologie
    Obor OECDHuman genetics
    CEPGA13-04420S GA ČR - Grantová agentura ČR
    Institucionální podporaFGU-C - RVO:67985823 ; UMG-J - RVO:68378050
    UT WOS000425922500005
    EID SCOPUS85043459014
    DOI10.1152/physiolgenomics.00091.2017
    AnotaceBrown adipose tissue (BAT) has been suggested to play an important role in lipid and glucose metabolism in rodents and possibly also in humans. In the current study, we used genetic and correlation analyses in the BXH/HXB recombinant inbred (RI) strains, derived from Brown Norway (BN) and spontaneously hypertensive rats (SHR), to identify genetic determinants of BAT function. Linkage analyses revealed a quantitative trait locus (QTL) associated with interscapular BAT mass on chromosome 4 and two closely linked QTLs associated with glucose oxidation and glucose incorporation into BAT lipids on chromosome 2. Using weighted gene coexpression network analysis (WGCNA) we identified 1,147 gene coexpression modules in the BAT from BXH/HXB rats and mapped their module eigengene QTLs. Through an unsupervised analysis, we identified modules related to BAT relative mass and function. The Coral4.1 coexpression module is associated with BAT relative mass (includes Cd36 highly connected gene), and the Darkseagreen coexpression module is associated with glucose incorporation into BAT lipids (includes Hiat1, Fmo5, and Sort1 highly connected transcripts). Because multiple statistical criteria were used to identify candidate modules, significance thresholds for individual tests were not adjusted for multiple comparisons across modules. In summary, a systems genetic analysis using genomic and quantitative transcriptomic and physiological information has produced confirmation of several known genetic factors and significant insight into novel genetic components functioning in BAT and possibly contributing to traits characteristic of the metabolic syndrome.
    PracovištěFyziologický ústav
    KontaktLucie Trajhanová, lucie.trajhanova@fgu.cas.cz, Tel.: 241 062 400
    Rok sběru2019
Počet záznamů: 1  

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