An
In-silico Study
Regenerative Medicine
Retinal Tissue Engineering
Systems Biology
Effective Growth Factors
Journal
Journal of ophthalmic & vision research
ISSN: 2008-2010
Titre abrégé: J Ophthalmic Vis Res
Pays: United Arab Emirates
ID NLM: 101497643
Informations de publication
Date de publication:
Historique:
received:
15
08
2019
accepted:
21
03
2020
entrez:
1
2
2021
pubmed:
2
2
2021
medline:
2
2
2021
Statut:
epublish
Résumé
Considering the significance of retinal disorders and the growing need to employ tissue engineering in this field, In this study, a regeneration gene database was used. All 21 protein-coding genes participating in retinal regeneration were considered as a protein-protein interaction (PPI) network via the "STRING App" in "Cytoscape 3.7.2" software. The resultant graph possessed 21 nodes as well as 37 edges. Gene ontology (GO) analysis, as well as the centrality analysis, revealed the most effective proteins in retinal regeneration. According to the biological processes and the role of each protein in different pathways, selecting the correct one is possible through the information that the network provides. Eye development, detection of the visible light, visual perception, photoreceptor cell differentiation, camera-type eye development, eye morphogenesis, and angiogenesis are the major biological processes in retinal regeneration. Based on the GO analysis, SHH, STAT3, FGFR1, OPN4, ITGAV, RAX, and RPE65 are effective in retinal regeneration via the biological processes. In addition, based on the centrality analysis, four proteins have the greatest influence on retinal regeneration: SHH, IGF1, STAT3, and ASCL1. With the intention of applying the most impressive growth factors in retinal engineering, it seems logical to pay attention to SHH, STAT3, and RPE65. Utilizing these proteins can lead to fabricate high efficiency engineered retina via all aforementioned biological processes.
Identifiants
pubmed: 33520128
doi: 10.18502/jovr.v16i1.8251
pmc: PMC7841276
doi:
Types de publication
Journal Article
Langues
eng
Pagination
56-67Informations de copyright
Copyright © 2021 Beheshtizadeh et al.
Déclaration de conflit d'intérêts
The authors declare that they have no conflict of interest.
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