Systems genetic analysis of brown adipose tissue function
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378050%3A_____%2F18%3A00489317" target="_blank" >RIV/68378050:_____/18:00489317 - isvavai.cz</a>
Alternative codes found
RIV/67985823:_____/18:00489317 RIV/00023001:_____/18:00076555
Result on the web
<a href="http://dx.doi.org/10.1152/physiolgenomics.00091.2017" target="_blank" >http://dx.doi.org/10.1152/physiolgenomics.00091.2017</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1152/physiolgenomics.00091.2017" target="_blank" >10.1152/physiolgenomics.00091.2017</a>
Alternative languages
Result language
angličtina
Original language name
Systems genetic analysis of brown adipose tissue function
Original language description
Brown 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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30101 - Human genetics
Result continuities
Project
<a href="/en/project/GA13-04420S" target="_blank" >GA13-04420S: The role of brown adipose tissue in the pathogenesis of metabolic syndrome in the rat: genetic and correlation analyses</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Physiological Genomics
ISSN
1094-8341
e-ISSN
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Volume of the periodical
50
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
15
Pages from-to
52-66
UT code for WoS article
000425922500005
EID of the result in the Scopus database
2-s2.0-85043459014