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  •   Ιδρυματικό Αποθετήριο Πανεπιστημίου Θεσσαλίας
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  •   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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Cadherin and Wnt signaling pathways as key regulators in diabetic nephropathy

Thumbnail
Συγγραφέας
Tziastoudi M., Tsezou A., Stefanidis I.
Ημερομηνία
2021
Γλώσσα
en
DOI
10.1371/journal.pone.0255728
Λέξη-κλειδί
albumin
cadherin
chemokine
creatinine
cytokine
intercellular adhesion molecule 1
interferon
interleukin 18
monocyte chemotactic protein 1
transcription factor RUNX2
Wnt protein
cadherin
albuminuria
angiogenesis
Article
atherosclerosis
bioinformatics
cell adhesion
cell membrane
chronic kidney failure
coronary artery calcification
diabetes mellitus
diabetic nephropathy
estimated glomerular filtration rate
false discovery rate
Fisher exact test
gene expression
gene locus
gene ontology
genome-wide association study
glomerulus filtration rate
human
kidney disease
lipid metabolism
macroalbuminuria
mathematical model
network analysis
non insulin dependent diabetes mellitus
protein analysis
protein protein interaction
RNA sequence
signal transduction
Wnt signaling
biology
cluster analysis
diabetic nephropathy
genetic linkage
genetics
human genome
pathology
software
Wnt signaling
Cadherins
Cluster Analysis
Computational Biology
Diabetic Nephropathies
Gene Ontology
Genetic Linkage
Genome, Human
Humans
Software
Wnt Signaling Pathway
Public Library of Science
Εμφάνιση Μεταδεδομένων
Επιτομή
Aim A recent meta-analysis of genome-wide linkage studies (GWLS) has identified multiple genetic regions suggestive of linkage with DN harboring hundreds of genes. Moving this number of genetic loci forward into biological insight is truly the next step. Here, we approach this challenge with a gene ontology (GO) analysis in order to yield biological and functional role to the genes, an over-representation test to find which GO terms are enriched in the gene list, pathway analysis, as well as protein network analysis. Method GO analysis was performed using protein analysis through evolutionary relationships (PANTHER) version 14.0 software and P-values less than 0.05 were considered statistically significant. GO analysis was followed by over-representation test for the identification of enriched terms. Statistical significance was calculated by Fisher's exact test and adjusted using the false discovery rate (FDR) for correction of multiple tests. Cytoscape with the relevant plugins was used for the construction of the protein network and clustering analysis. Results The GO analysis assign multiple GO terms to the genes regarding the molecular function, the biological process and the cellular component, protein class and pathway analysis. The findings of the over-representation test highlight the contribution of cell adhesion regarding the biological process, integral components of plasma membrane regarding the cellular component, chemokines and cytokines with regard to protein class, while the pathway analysis emphasizes the contribution of Wnt and cadherin signaling pathways. Conclusions Our results suggest that a core feature of the pathogenesis of DN may be a disturbance in Wnt and cadherin signaling pathways, whereas the contribution of chemokines and cytokines need to be studied in additional studies. Copyright: © 2021 Tziastoudi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
URI
http://hdl.handle.net/11615/80248
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  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ. [19735]

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