-
Je něco špatně v tomto záznamu ?
Systems genetic analysis of brown adipose tissue function
M. Pravenec, LM. Saba, V. Zídek, V. Landa, P. Mlejnek, J. Šilhavý, M. Šimáková, H. Strnad, J. Trnovská, V. Škop, M. Hüttl, I. Marková, O. Oliyarnyk, H. Malínská, L. Kazdová, H. Smith, B. Tabakoff,
Jazyk angličtina Země Spojené státy americké
Typ dokumentu časopisecké články, Research Support, N.I.H., Extramural, práce podpořená grantem
NLK
Free Medical Journals
od 1999 do Před 1 rokem
Open Access Digital Library
od 1999-07-01
- MeSH
- genetická predispozice k nemoci genetika MeSH
- glukosa metabolismus MeSH
- hnědá tuková tkáň metabolismus MeSH
- krysa rodu rattus MeSH
- lokus kvantitativního znaku genetika MeSH
- metabolický syndrom genetika metabolismus MeSH
- potkani inbrední BN MeSH
- potkani inbrední SHR MeSH
- zvířata MeSH
- Check Tag
- krysa rodu rattus MeSH
- mužské pohlaví MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Research Support, N.I.H., Extramural MeSH
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.
Institute for Clinical and Experimental Medicine Prague Czech Republic
Institute of Molecular Genetics of the Czech Academy of Sciences Prague Czech Republic
Institute of Physiology of the Czech Academy of Sciences Prague Czech Republic
Citace poskytuje Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc19013019
- 003
- CZ-PrNML
- 005
- 20190416113024.0
- 007
- ta
- 008
- 190405s2018 xxu f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1152/physiolgenomics.00091.2017 $2 doi
- 035 __
- $a (PubMed)29127223
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a xxu
- 100 1_
- $a Pravenec, Michal $u Institute of Physiology of the Czech Academy of Sciences , Prague , Czech Republic.
- 245 10
- $a Systems genetic analysis of brown adipose tissue function / $c M. Pravenec, LM. Saba, V. Zídek, V. Landa, P. Mlejnek, J. Šilhavý, M. Šimáková, H. Strnad, J. Trnovská, V. Škop, M. Hüttl, I. Marková, O. Oliyarnyk, H. Malínská, L. Kazdová, H. Smith, B. Tabakoff,
- 520 9_
- $a 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.
- 650 _2
- $a hnědá tuková tkáň $x metabolismus $7 D002001
- 650 _2
- $a zvířata $7 D000818
- 650 _2
- $a genetická predispozice k nemoci $x genetika $7 D020022
- 650 _2
- $a glukosa $x metabolismus $7 D005947
- 650 _2
- $a mužské pohlaví $7 D008297
- 650 _2
- $a metabolický syndrom $x genetika $x metabolismus $7 D024821
- 650 _2
- $a lokus kvantitativního znaku $x genetika $7 D040641
- 650 _2
- $a krysa rodu Rattus $7 D051381
- 650 _2
- $a potkani inbrední BN $7 D011914
- 650 _2
- $a potkani inbrední SHR $7 D011918
- 655 _2
- $a časopisecké články $7 D016428
- 655 _2
- $a Research Support, N.I.H., Extramural $7 D052061
- 655 _2
- $a práce podpořená grantem $7 D013485
- 700 1_
- $a Saba, Laura M $u Department of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus , Aurora, Colorado.
- 700 1_
- $a Zídek, Václav $u Institute of Physiology of the Czech Academy of Sciences , Prague , Czech Republic.
- 700 1_
- $a Landa, Vladimír $u Institute of Physiology of the Czech Academy of Sciences , Prague , Czech Republic.
- 700 1_
- $a Mlejnek, Petr $u Institute of Physiology of the Czech Academy of Sciences , Prague , Czech Republic.
- 700 1_
- $a Šilhavý, Jan $u Institute of Physiology of the Czech Academy of Sciences , Prague , Czech Republic.
- 700 1_
- $a Šimáková, Miroslava $u Institute of Physiology of the Czech Academy of Sciences , Prague , Czech Republic.
- 700 1_
- $a Strnad, Hynek $u Institute of Molecular Genetics of the Czech Academy of Sciences , Prague , Czech Republic.
- 700 1_
- $a Trnovská, Jaroslava $u Institute for Clinical and Experimental Medicine, Prague, Czech Republic.
- 700 1_
- $a Škop, Vojtěch $u Institute for Clinical and Experimental Medicine, Prague, Czech Republic.
- 700 1_
- $a Hüttl, Martina $u Institute for Clinical and Experimental Medicine, Prague, Czech Republic.
- 700 1_
- $a Marková, Irena $u Institute for Clinical and Experimental Medicine, Prague, Czech Republic.
- 700 1_
- $a Oliyarnyk, Olena $u Institute for Clinical and Experimental Medicine, Prague, Czech Republic.
- 700 1_
- $a Malínská, Hana $u Institute for Clinical and Experimental Medicine, Prague, Czech Republic.
- 700 1_
- $a Kazdová, Ludmila $u Institute for Clinical and Experimental Medicine, Prague, Czech Republic.
- 700 1_
- $a Smith, Harry $u Department of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus , Aurora, Colorado. Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus , Aurora, Colorado.
- 700 1_
- $a Tabakoff, Boris $u Department of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus , Aurora, Colorado.
- 773 0_
- $w MED00013840 $t Physiological genomics $x 1531-2267 $g Roč. 50, č. 1 (2018), s. 52-66
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/29127223 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y a $z 0
- 990 __
- $a 20190405 $b ABA008
- 991 __
- $a 20190416113050 $b ABA008
- 999 __
- $a ok $b bmc $g 1392329 $s 1051324
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2018 $b 50 $c 1 $d 52-66 $e 20171110 $i 1531-2267 $m Physiological genomics $n Physiol Genomics $x MED00013840
- LZP __
- $a Pubmed-20190405