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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| Format: | Article |
| Language: | English |
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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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| author | Tiwuk Susantiningsih Ani Retno Prijanti Novi Silvia Hardiany Fadilah |
| author_facet | Tiwuk Susantiningsih Ani Retno Prijanti Novi Silvia Hardiany Fadilah |
| author_sort | Tiwuk Susantiningsih |
| collection | DOAJ |
| description |
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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| format | Article |
| id | doaj-art-ad456a42a1c34b9e86daed47cee1e908 |
| institution | Kabale University |
| issn | 2654-6108 2654-3222 |
| language | English |
| publishDate | 2024-08-01 |
| publisher | Indonesian Society for Biochemistry and Molecular Biology |
| record_format | Article |
| series | Acta Biochimica Indonesiana |
| spelling | doaj-art-ad456a42a1c34b9e86daed47cee1e9082025-02-08T03:04:50ZengIndonesian Society for Biochemistry and Molecular BiologyActa Biochimica Indonesiana2654-61082654-32222024-08-017110.32889/actabioina.110Identification of cardiac premature senescence markers through GEO database interaction approach Tiwuk Susantiningsih0Ani Retno Prijanti1Novi Silvia Hardiany2Fadilah3Department of Biochemistry Faculty of Medicine, UPN Veteran Jakarta, Jakarta, IndonesiaDepartment of Biochemistry and Molecular Biology, Faculty of Medicine, University of Indonesia, Jakarta, Indonesia Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Indonesia, Jakarta, Indonesia Department of Medical Chemistry, Faculty of Medicine, University of Indonesia, Jakarta, Indonesia 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. https://pbbmi.org/newjurnal/index.php/actabioina/article/view/110p53database GEOpremature cardiac senescenceGEO database |
| spellingShingle | Tiwuk Susantiningsih Ani Retno Prijanti Novi Silvia Hardiany Fadilah Identification of cardiac premature senescence markers through GEO database interaction approach Acta Biochimica Indonesiana p53 database GEO premature cardiac senescence GEO database |
| title | Identification of cardiac premature senescence markers through GEO database interaction approach |
| title_full | Identification of cardiac premature senescence markers through GEO database interaction approach |
| title_fullStr | Identification of cardiac premature senescence markers through GEO database interaction approach |
| title_full_unstemmed | Identification of cardiac premature senescence markers through GEO database interaction approach |
| title_short | Identification of cardiac premature senescence markers through GEO database interaction approach |
| title_sort | identification of cardiac premature senescence markers through geo database interaction approach |
| topic | p53 database GEO premature cardiac senescence GEO database |
| url | https://pbbmi.org/newjurnal/index.php/actabioina/article/view/110 |
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