Identification of cardiac premature senescence markers through GEO database interaction approach

Background: Cardiomyocytes are cardiac muscle cells where premature senescence can occur. The availability of in silico research regarding premature senescence in cardiomyocytes is still limited. Purpose: This in silico research aims to identify marker of cardiac premature senescence through the...

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Main Authors: Tiwuk Susantiningsih, Ani Retno Prijanti, Novi Silvia Hardiany, Fadilah
Format: Article
Language:English
Published: Indonesian Society for Biochemistry and Molecular Biology 2024-08-01
Series:Acta Biochimica Indonesiana
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Online Access:https://pbbmi.org/newjurnal/index.php/actabioina/article/view/110
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Summary:Background: Cardiomyocytes are cardiac muscle cells where premature senescence can occur. The availability of in silico research regarding premature senescence in cardiomyocytes is still limited. Purpose: This in silico research aims to identify marker of cardiac premature senescence through the GEO database interaction approach. Methods: This research used the GEO database with the GeneCards website approach using four keywords: premature senescence AND cardiovascular AND cardiomyocytes AND p53 followed by Cytoscape 3.9.1 analysis and StringDB analysis. Results: From 1,046 proteins obtained, analyzed by using Cytoscape Tools series 3.9.1 resulted to 100 proteins having the highest score and continued with StringDB analysis with 16 proteins. Conclusion: From the GeneCards, Cytoscape, and StringDB data, analysis of protein interactions in cardiac premature senescence showed that the protein-protein interactions with the highest scores were TP53, CDK2, and PTEN.
ISSN:2654-6108
2654-3222