Identification of cardiac premature senescence markers through GEO database interaction approach

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 GEO...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Acta Biochimica Indonesiana 2024-08, Vol.7 (1), p.110
Hauptverfasser: Susantiningsih, Tiwuk, Prijanti, Ani Retno, Hardiany, Novi Silvia, Fadilah
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 1
container_start_page 110
container_title Acta Biochimica Indonesiana
container_volume 7
creator Susantiningsih, Tiwuk
Prijanti, Ani Retno
Hardiany, Novi Silvia
Fadilah
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.
doi_str_mv 10.32889/actabioina.110
format Article
fullrecord <record><control><sourceid>crossref</sourceid><recordid>TN_cdi_crossref_primary_10_32889_actabioina_110</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_32889_actabioina_110</sourcerecordid><originalsourceid>FETCH-crossref_primary_10_32889_actabioina_1103</originalsourceid><addsrcrecordid>eNqVj71uAjEQhK0okUCBmnZfALB9hDh1BIQqDb3Z-PZyJmCfdk2Rt-eIkKhTzTTz8yk1MXpWWefe5hgKfsUcE86M0Q9qaJcvi2llrX28-aXRbqDGIgettXWv1cLpodpva0olNjFgiTlBbiAg1xEDdEwnLGcmEEokgVIgOCH_EAuUlvP5u4XN6hNq7LdRCGIqxP2TaxF2HWcM7Ug9NXgUGt_0Wc3Xq937xzRwFmFqfMexb_31Rvs_Fn9n8T1L9f_EBUgEV3k</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Identification of cardiac premature senescence markers through GEO database interaction approach</title><source>EZB-FREE-00999 freely available EZB journals</source><creator>Susantiningsih, Tiwuk ; Prijanti, Ani Retno ; Hardiany, Novi Silvia ; Fadilah</creator><creatorcontrib>Susantiningsih, Tiwuk ; Prijanti, Ani Retno ; Hardiany, Novi Silvia ; Fadilah</creatorcontrib><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.</description><identifier>ISSN: 2654-6108</identifier><identifier>EISSN: 2654-3222</identifier><identifier>DOI: 10.32889/actabioina.110</identifier><language>eng</language><ispartof>Acta Biochimica Indonesiana, 2024-08, Vol.7 (1), p.110</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0000-0002-8120-3138 ; 0000-0003-0663-2714 ; 0000-0003-3359-5189 ; 0000-0002-5276-7997</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Susantiningsih, Tiwuk</creatorcontrib><creatorcontrib>Prijanti, Ani Retno</creatorcontrib><creatorcontrib>Hardiany, Novi Silvia</creatorcontrib><creatorcontrib>Fadilah</creatorcontrib><title>Identification of cardiac premature senescence markers through GEO database interaction approach</title><title>Acta Biochimica Indonesiana</title><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.</description><issn>2654-6108</issn><issn>2654-3222</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNqVj71uAjEQhK0okUCBmnZfALB9hDh1BIQqDb3Z-PZyJmCfdk2Rt-eIkKhTzTTz8yk1MXpWWefe5hgKfsUcE86M0Q9qaJcvi2llrX28-aXRbqDGIgettXWv1cLpodpva0olNjFgiTlBbiAg1xEDdEwnLGcmEEokgVIgOCH_EAuUlvP5u4XN6hNq7LdRCGIqxP2TaxF2HWcM7Ug9NXgUGt_0Wc3Xq937xzRwFmFqfMexb_31Rvs_Fn9n8T1L9f_EBUgEV3k</recordid><startdate>20240804</startdate><enddate>20240804</enddate><creator>Susantiningsih, Tiwuk</creator><creator>Prijanti, Ani Retno</creator><creator>Hardiany, Novi Silvia</creator><creator>Fadilah</creator><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0002-8120-3138</orcidid><orcidid>https://orcid.org/0000-0003-0663-2714</orcidid><orcidid>https://orcid.org/0000-0003-3359-5189</orcidid><orcidid>https://orcid.org/0000-0002-5276-7997</orcidid></search><sort><creationdate>20240804</creationdate><title>Identification of cardiac premature senescence markers through GEO database interaction approach</title><author>Susantiningsih, Tiwuk ; Prijanti, Ani Retno ; Hardiany, Novi Silvia ; Fadilah</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-crossref_primary_10_32889_actabioina_1103</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Susantiningsih, Tiwuk</creatorcontrib><creatorcontrib>Prijanti, Ani Retno</creatorcontrib><creatorcontrib>Hardiany, Novi Silvia</creatorcontrib><creatorcontrib>Fadilah</creatorcontrib><collection>CrossRef</collection><jtitle>Acta Biochimica Indonesiana</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Susantiningsih, Tiwuk</au><au>Prijanti, Ani Retno</au><au>Hardiany, Novi Silvia</au><au>Fadilah</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identification of cardiac premature senescence markers through GEO database interaction approach</atitle><jtitle>Acta Biochimica Indonesiana</jtitle><date>2024-08-04</date><risdate>2024</risdate><volume>7</volume><issue>1</issue><spage>110</spage><pages>110-</pages><issn>2654-6108</issn><eissn>2654-3222</eissn><abstract>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.</abstract><doi>10.32889/actabioina.110</doi><orcidid>https://orcid.org/0000-0002-8120-3138</orcidid><orcidid>https://orcid.org/0000-0003-0663-2714</orcidid><orcidid>https://orcid.org/0000-0003-3359-5189</orcidid><orcidid>https://orcid.org/0000-0002-5276-7997</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 2654-6108
ispartof Acta Biochimica Indonesiana, 2024-08, Vol.7 (1), p.110
issn 2654-6108
2654-3222
language eng
recordid cdi_crossref_primary_10_32889_actabioina_110
source EZB-FREE-00999 freely available EZB journals
title Identification of cardiac premature senescence markers through GEO database interaction approach
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-24T19%3A59%3A33IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-crossref&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Identification%20of%20cardiac%20premature%20senescence%20markers%20through%20GEO%20database%20interaction%20approach&rft.jtitle=Acta%20Biochimica%20Indonesiana&rft.au=Susantiningsih,%20Tiwuk&rft.date=2024-08-04&rft.volume=7&rft.issue=1&rft.spage=110&rft.pages=110-&rft.issn=2654-6108&rft.eissn=2654-3222&rft_id=info:doi/10.32889/actabioina.110&rft_dat=%3Ccrossref%3E10_32889_actabioina_110%3C/crossref%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true