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  •   Ιδρυματικό Αποθετήριο Πανεπιστημίου Θεσσαλίας
  • Επιστημονικές Δημοσιεύσεις Μελών ΠΘ (ΕΔΠΘ)
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ.
  • Προβολή τεκμηρίου
  •   Ιδρυματικό Αποθετήριο Πανεπιστημίου Θεσσαλίας
  • Επιστημονικές Δημοσιεύσεις Μελών ΠΘ (ΕΔΠΘ)
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ.
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Ιδρυματικό Αποθετήριο Πανεπιστημίου Θεσσαλίας
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The human GPCR signal transduction network

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Συγγραφέας
Kontou P., Pavlopoulou A., Dimou N., Theodoropoulou M., Braliou G., Tsaousis G., Pavlopoulos G., Hamodrakas S., Bagos P.
Ημερομηνία
2021
Γλώσσα
en
DOI
10.1007/s13721-020-00278-z
Λέξη-κλειδί
Cell membranes
Gene expression
Histology
Ligands
Molecules
Risk assessment
Signal transduction
Tissue
Disease development
Disease risk prediction model
Disease risks
Expression profile
G protein coupled receptors
G protein-coupled receptor network analyse
Gene expression profiles
Risk prediction models
Tissue specificity
Tissue-specific expression
Proteins
amyloid beta protein
angiotensinogen
complement component C3
endothelin 1
G protein coupled receptor
glutamate receptor
kininogen
lipocortin 1
low density lipoprotein cholesterol
messenger RNA
Article
diastolic blood pressure
disease association
gene
gene expression
phenotype
prescription
protein protein interaction
risk factor
RNA sequence
signal transduction
systolic blood pressure
tissue specificity
Springer
Εμφάνιση Μεταδεδομένων
Επιτομή
The eukaryotic cell surface G protein-coupled receptors (GPCRs) interact with a wide spectrum of ligands. The intracellular transmission of the extracellular signal is mediated by the selective coupling of GPCRs to G proteins, which, in turn, activate downstream effectors. GPCRs are of paramount pharmacological importance, with approximately 40% of all commercial drugs targeting these proteins. Herein, we have made an effort to unravel the molecular mechanisms underlying the GPCR-mediated signaling pathway and the way this pathway is associated with diseases. Network-based approaches were utilized to delineate the GPCR pathway, incorporating data from gene expression profiles across eleven healthy tissues and disease–gene associations from three diverse resources. The associations between the tissue-specific expression profiles of the disease-related genes along with the relative risk of disease development were further investigated. In the GPCR-activated pathway, the signal was found to be amplified at the successive steps of the pathway so that the effector molecules are highly expressed compared to ligands. This amplification effect was more pronounced when the respective genes encoding the particular proteins were associated with diseases. It was also found that co-expressed genes, corresponding to interacting molecules in affected tissues, may constitute powerful predictive markers for disease development. A disease risk prediction model based on tissue-specific expression profiles of the disease-associated genes was also generated. These findings could be applied to clinical settings. © 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH, AT part of Springer Nature.
URI
http://hdl.handle.net/11615/75102
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  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ. [19735]

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