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https://hdl.handle.net/123456789/1576
Τύπος: | Άρθρο σε επιστημονικό περιοδικό |
Τίτλος: | Meta-analysis and bioinformatics detection of susceptibility genes in diabetic nephropathy |
Συγγραφέας: | [EL] Τζιαστούδη, Μαρία[EN] Tziastoudi, Maria [EL] Χολέβας, Χρήστος[EN] Cholevas, Christos [EL] Θεοχαρίδης, Θεοχάρης[EN] Theoharides, Theoharis [EL] Στεφανίδης, Ιωάννης[EN] Stefanidis, Ioannis |
Ημερομηνία: | 21/12/2021 |
Περίληψη: | The latest meta-analysis of genome-wide linkage studies (GWLS) identified nine cytogenetic locations suggestive of a linkage with diabetic nephropathy (DN) due to type 1 diabetes mellitus (T1DM) and seven locations due to type 2 diabetes mellitus (T2DM). In order to gain biological insight about the functional role of the genes located in these regions and to prioritize the most significant genetic loci for further research, we conducted a gene ontology analysis with an over representation test for the functional annotation of the protein coding genes. Protein analysis through evolutionary relationships (PANTHER) version 16.0 software and Cytoscape with the relevant plugins were used for the gene ontology analysis, and the overrepresentation test and STRING database were used for the construction of the protein network. The findings of the over-representation test highlight the contribution of immune related molecules like immunoglobulins, cytokines, and chemokines with regard to the most overrepresented protein classes, whereas the most enriched signaling pathways include the VEGF signaling pathway, the Cadherin pathway, the Wnt pathway, the angiogenesis pathway, the p38 MAPK pathway, and the EGF receptor signaling pathway. The common section of T1DM and T2DM results include the significant over representation of immune related molecules, and the Cadherin and Wnt signaling pathways that could constitute potential therapeutic targets for the treatment of DN, irrespective of the type of diabetes. |
Γλώσσα: | Αγγλικά |
Σελίδες: | 15 |
DOI: | 10.3390/ijms23010020 |
EISSN: | 1422-0067 |
Θεματική κατηγορία: | [EL] Μοριακή ιατρική[EN] Molecular Medicine |
Λέξεις-κλειδιά: | diabetic nephropathy; Meta-analysis; gene ontology; protein network; genes; signaling pathway |
Κάτοχος πνευματικών δικαιωμάτων: | © 2021 by the authors. Licensee MDPI, Basel, Switzerland. |
Όροι και προϋποθέσεις δικαιωμάτων: | This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/). |
Ηλεκτρονική διεύθυνση του τεκμηρίου στον εκδότη: | https://www.mdpi.com/1422-0067/23/1/20 |
Ηλεκτρονική διεύθυνση περιοδικού: | https://www.mdpi.com/journal/ijms |
Τίτλος πηγής δημοσίευσης: | International Journal of Molecular Sciences |
Τεύχος: | 1 |
Τόμος: | 23 |
Σελίδες τεκμηρίου (στην πηγή): | Article no 20 |
Σημειώσεις: | This research was co-financed by Greece and the European Union (European Social Fund- ESF) through the Operational Program «Human Resources Development, Education, and Lifelong Learning» in the context of the project “Reinforcement of Postdoctoral Researchers, 2nd Cycle” (MIS-5033021), implemented by the State Scholarships Foundation (ΙΚΥ). |
Εμφανίζεται στις συλλογές: | Μεταδιδακτορικοί ερευνητές |
Αρχεία σε αυτό το τεκμήριο:
Αρχείο | Περιγραφή | Σελίδες | Μέγεθος | Μορφότυπος | Έκδοση | Άδεια | |
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15. Tziastoudi.pdf | 3.9 MB | Adobe PDF | Δημοσιευμένη/του Εκδότη | Δείτε/ανοίξτε |