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Deciphering the molecular landscape of ionising radiation-induced eye damage with the help of genomic data mining.
Baralic, Katarina; Bozovic, Predrag; Dukic-Cosic, Danijela.
Affiliation
  • Baralic K; University of Belgrade, Faculty of Pharmacy, Department of Toxicology "Akademik Danilo Soldatovic", Belgrade, Serbia.
  • Bozovic P; University of Belgrade Vinca Institute of Nuclear Sciences, Department of Radiation and Environmental Protection, Belgrade, Serbia.
  • Dukic-Cosic D; University of Belgrade, Faculty of Pharmacy, Department of Toxicology "Akademik Danilo Soldatovic", Belgrade, Serbia.
Arh Hig Rada Toksikol ; 75(2): 91-101, 2024 Jun 01.
Article in En | MEDLINE | ID: mdl-38963141
ABSTRACT
Even at low levels, exposure to ionising radiation can lead to eye damage. However, the underlying molecular mechanisms are not yet fully understood. We aimed to address this gap with a comprehensive in silico approach to the issue. For this purpose we relied on the Comparative Toxicogenomics Database (CTD), ToppGene Suite, Cytoscape, GeneMANIA, and Metascape to identify six key regulator genes associated with radiation-induced eye damage (ATM, CRYAB, SIRT1, TGFB1, TREX1, and YAP1), all of which have physical interactions. Some of the identified molecular functions revolve around DNA repair mechanisms, while others are involved in protein binding, enzymatic activities, metabolic processes, and post-translational protein modifications. The biological processes are mostly centred on response to DNA damage, the p53 signalling pathway in particular. We identified a significant role of several miRNAs, such as hsa-miR-183 and hsamiR-589, in the mechanisms behind ionising radiation-induced eye injuries. Our study offers a valuable method for gaining deeper insights into the adverse effects of radiation exposure.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Radiation, Ionizing / Data Mining Limits: Humans Language: En Journal: Arh Hig Rada Toksikol Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Radiation, Ionizing / Data Mining Limits: Humans Language: En Journal: Arh Hig Rada Toksikol Year: 2024 Document type: Article