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: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Indonesian Society for Biochemistry and Molecular Biology
2024-08-01
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| Series: | Acta Biochimica Indonesiana |
| Subjects: | |
| 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.
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| ISSN: | 2654-6108 2654-3222 |