Identification of cardiac premature senescence markers through GEO database interaction approach

Tiwuk Susantiningsih (Department of Biochemistry Faculty of Medicine, UPN Veteran Jakarta, Jakarta, Indonesia)
Ani Retno Prijanti (Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Indonesia, Jakarta, Indonesia)
Novi Silvia Hardiany (Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Indonesia, Jakarta, Indonesia)
Fadilah (Department of Medical Chemistry, Faculty of Medicine, University of Indonesia, Jakarta, Indonesia)

Acta Biochimica Indonesiana
Vol. 7 No. 1 (2024): Acta Biochimica Indonesiana

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.