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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

  • Czech description

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

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

  • 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