Uncovering the liver's role in immunity through RNA co-expression networks
Jazyk angličtina Země Spojené státy americké Médium print-electronic
Typ dokumentu časopisecké články, práce podpořená grantem, Research Support, N.I.H., Extramural
Grantová podpora
R24 AA013162
NIAAA NIH HHS - United States
R24 AA012885
NIAAA NIH HHS - United States
P30 DK048522
NIDDK NIH HHS - United States
P50 AA011999
NIAAA NIH HHS - United States
P01 HL035018
NHLBI NIH HHS - United States
PubMed
27401171
PubMed Central
PMC5002042
DOI
10.1007/s00335-016-9656-5
PII: 10.1007/s00335-016-9656-5
Knihovny.cz E-zdroje
- MeSH
- genová ontologie MeSH
- imunitní systém metabolismus MeSH
- játra imunologie metabolismus MeSH
- Lod skóre MeSH
- lokus kvantitativního znaku MeSH
- potkani inbrední SHR MeSH
- RNA genetika metabolismus MeSH
- sekvenční analýza RNA MeSH
- transkriptom MeSH
- vazebná nerovnováha MeSH
- zvířata MeSH
- Check Tag
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Research Support, N.I.H., Extramural MeSH
- Názvy látek
- RNA MeSH
Gene co-expression analysis has proven to be a powerful tool for ascertaining the organization of gene products into networks that are important for organ function. An organ, such as the liver, engages in a multitude of functions important for the survival of humans, rats, and other animals; these liver functions include energy metabolism, metabolism of xenobiotics, immune system function, and hormonal homeostasis. With the availability of organ-specific transcriptomes, we can now examine the role of RNA transcripts (both protein-coding and non-coding) in these functions. A systems genetic approach for identifying and characterizing liver gene networks within a recombinant inbred panel of rats was used to identify genetically regulated transcriptional networks (modules). For these modules, biological consensus was found between functional enrichment analysis and publicly available phenotypic quantitative trait loci (QTL). In particular, the biological function of two liver modules could be linked to immune response. The eigengene QTLs for these co-expression modules were located at genomic regions coincident with highly significant phenotypic QTLs; these phenotypes were related to rheumatoid arthritis, food preference, and basal corticosterone levels in rats. Our analysis illustrates that genetically and biologically driven RNA-based networks, such as the ones identified as part of this research, provide insight into the genetic influences on organ functions. These networks can pinpoint phenotypes that manifest through the interaction of many organs/tissues and can identify unannotated or under-annotated RNA transcripts that play a role in these phenotypes.
Department of Biology University of Colorado at Colorado Springs Colorado Springs CO 80918 USA
Department of Model Diseases Institute of Physiology Czech Academy of Sciences Prague Czech Republic
Department of Pharmacology University of California San Diego La Jolla CA 92093 USA
Department of Pharmacology University of Colorado School of Medicine Aurora CO 80045 USA
Department of Veterans Affairs Great Los Angeles Healthcare System Los Angeles CA 90089 USA
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