WeightNameValue
1000 Titel
  • Elucidating Molecular Networks That Either Affect or Respond to Plasma Cortisol Concentration in Target Tissues of Liver and Muscle
1000 Autor/in
  1. Ponsuksili, Siriluck |
  2. Du, Yang |
  3. Muráni, Eduard |
  4. Schwerin, Manfred |
  5. Wimmers, Klaus |
1000 Erscheinungsjahr 2012
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2012-11-07
1000 Erschienen in
1000 Quellenangabe
  • 192(3): 1109-1122
1000 FRL-Sammlung
1000 Verlagsversion
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3522154/ |
  • https://dx.doi.org/10.1534%2Fgenetics.112.143081 |
1000 Ergänzendes Material
  • http://www.genetics.org/content/192/3/1109.supplemental |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Cortisol is a steroid hormone with important roles in regulating immune and metabolic functions and organismal responses to external stimuli are mediated by the glucocorticoid system. Dysregulation of the afferent and efferent axis of glucocorticoid signaling have adverse effects on growth, health status, and well-being. Glucocorticoid secretion and signaling show large interindividual variation that has a considerable genetic component; however, little is known about the underlying genetic variants. Here, we used trait-correlated expression analysis, screening for expression quantitative trait loci (eQTL), genome-wide association (GWA) studies, and causality modeling to identify candidate genes in porcine liver and muscle that affect or respond to plasma cortisol levels. Through trait-correlated expression, we characterized transcript activities in many biological functions in liver and muscle. Candidates from the list of trait-correlated expressed genes were narrowed using only those genes with an eQTL, and these were further prioritized by determining whether their expression was predicted to be related to variation in plasma cortisol levels. Using network edge orienting (NEO), a causality modeling algorithm, 26 of 990 candidates in liver were predicted to affect and 70 to respond to plasma cortisol levels. Of 593 candidates in muscle that were correlated with cortisol levels and were regulated by eQTL, 2 and 25 were predicted as effective and responsive, respectively, to plasma cortisol levels. Comprehensive data integration has helped to elucidate the complex molecular networks contributing to cortisol levels and thus its subsequent metabolic effects. The discrimination of up- and downstream effects of transcripts affecting or responding to plasma cortisol concentrations improves the understanding of the biology of complex traits related to growth, health, and well-being.
1000 Sacherschließung
lokal quantitative trait networks
lokal genome-wide association (GWA)
lokal network edge orienting (NEO)
lokal expression quantitative traits loci (eQTL)
lokal cortisol concentration
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/creator/UG9uc3Vrc2lsaSwgU2lyaWx1Y2s=|http://orcid.org/0000-0002-5707-513X|https://frl.publisso.de/adhoc/creator/TXVyw6FuaSwgRWR1YXJk|https://frl.publisso.de/adhoc/creator/U2Nod2VyaW4sIE1hbmZyZWQ=|http://orcid.org/0000-0002-9523-6790
1000 Label
1000 Förderer
  1. Deutsche Forschungsgemeinschaft |
  2. Leibniz-Institut für Nutztierbiologie (FBN) |
1000 Fördernummer
  1. FOR 753; PO 753/7-1; WI 1754/10-14
  2. -
1000 Förderprogramm
  1. -
  2. -
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Deutsche Forschungsgemeinschaft |
    1000 Förderprogramm -
    1000 Fördernummer FOR 753; PO 753/7-1; WI 1754/10-14
  2. 1000 joinedFunding-child
    1000 Förderer Leibniz-Institut für Nutztierbiologie (FBN) |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6410292.rdf
1000 Erstellt am 2018-09-20T14:05:33.040+0200
1000 Erstellt von 122
1000 beschreibt frl:6410292
1000 Bearbeitet von 16
1000 Zuletzt bearbeitet Wed Apr 22 08:40:59 CEST 2020
1000 Objekt bearb. Wed Apr 22 08:40:58 CEST 2020
1000 Vgl. frl:6410292
1000 Oai Id
  1. oai:frl.publisso.de:frl:6410292 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

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