Uncovering the liver’s role in immunity through RNA co-expression networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985823%3A_____%2F16%3A00462379" target="_blank" >RIV/67985823:_____/16:00462379 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/s00335-016-9656-5" target="_blank" >http://dx.doi.org/10.1007/s00335-016-9656-5</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s00335-016-9656-5" target="_blank" >10.1007/s00335-016-9656-5</a>
Alternative languages
Result language
angličtina
Original language name
Uncovering the liver’s role in immunity through RNA co-expression networks
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
EB - Genetics and molecular biology
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GAP301%2F12%2F0696" target="_blank" >GAP301/12/0696: Transgenic rescue analysis of down-regulated genes involved in catecholamine biosynthesis in adrenal medulla of the spontaneously hypertensive rat</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Mammalian Genome
ISSN
0938-8990
e-ISSN
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Volume of the periodical
27
Issue of the periodical within the volume
9-10
Country of publishing house
US - UNITED STATES
Number of pages
16
Pages from-to
469-484
UT code for WoS article
000382400300003
EID of the result in the Scopus database
2-s2.0-84978076957