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dc.creatorTziastoudi M., Tsezou A., Stefanidis I.en
dc.date.accessioned2023-01-31T10:21:51Z
dc.date.available2023-01-31T10:21:51Z
dc.date.issued2021
dc.identifier10.1371/journal.pone.0255728
dc.identifier.issn19326203
dc.identifier.urihttp://hdl.handle.net/11615/80248
dc.description.abstractAim 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.en
dc.language.isoenen
dc.sourcePLoS ONEen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85113337195&doi=10.1371%2fjournal.pone.0255728&partnerID=40&md5=aa2187bad6304b0376f52af5e82ae9bf
dc.subjectalbuminen
dc.subjectcadherinen
dc.subjectchemokineen
dc.subjectcreatinineen
dc.subjectcytokineen
dc.subjectintercellular adhesion molecule 1en
dc.subjectinterferonen
dc.subjectinterleukin 18en
dc.subjectmonocyte chemotactic protein 1en
dc.subjecttranscription factor RUNX2en
dc.subjectWnt proteinen
dc.subjectcadherinen
dc.subjectalbuminuriaen
dc.subjectangiogenesisen
dc.subjectArticleen
dc.subjectatherosclerosisen
dc.subjectbioinformaticsen
dc.subjectcell adhesionen
dc.subjectcell membraneen
dc.subjectchronic kidney failureen
dc.subjectcoronary artery calcificationen
dc.subjectdiabetes mellitusen
dc.subjectdiabetic nephropathyen
dc.subjectestimated glomerular filtration rateen
dc.subjectfalse discovery rateen
dc.subjectFisher exact testen
dc.subjectgene expressionen
dc.subjectgene locusen
dc.subjectgene ontologyen
dc.subjectgenome-wide association studyen
dc.subjectglomerulus filtration rateen
dc.subjecthumanen
dc.subjectkidney diseaseen
dc.subjectlipid metabolismen
dc.subjectmacroalbuminuriaen
dc.subjectmathematical modelen
dc.subjectnetwork analysisen
dc.subjectnon insulin dependent diabetes mellitusen
dc.subjectprotein analysisen
dc.subjectprotein protein interactionen
dc.subjectRNA sequenceen
dc.subjectsignal transductionen
dc.subjectWnt signalingen
dc.subjectbiologyen
dc.subjectcluster analysisen
dc.subjectdiabetic nephropathyen
dc.subjectgenetic linkageen
dc.subjectgeneticsen
dc.subjecthuman genomeen
dc.subjectpathologyen
dc.subjectsoftwareen
dc.subjectWnt signalingen
dc.subjectCadherinsen
dc.subjectCluster Analysisen
dc.subjectComputational Biologyen
dc.subjectDiabetic Nephropathiesen
dc.subjectGene Ontologyen
dc.subjectGenetic Linkageen
dc.subjectGenome, Humanen
dc.subjectHumansen
dc.subjectSoftwareen
dc.subjectWnt Signaling Pathwayen
dc.subjectPublic Library of Scienceen
dc.titleCadherin and Wnt signaling pathways as key regulators in diabetic nephropathyen
dc.typejournalArticleen


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