The result of enrich GO analysis.

<div><p>Cirrhosis is a common endpoint in various chronic liver diseases, and often causes hepatocellular carcinoma. Studies have revealed the significant role of disulfidptosis in the occurrence and development of hepatocellular carcinoma; however, our understanding of this role is limi...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Yiqian Liu (392940) (author)
مؤلفون آخرون: Ruixin Zhang (48813) (author), Xiaojie Sun (583553) (author), Wei Cui (92129) (author), Lixin Liu (676169) (author)
منشور في: 2025
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_version_ 1852014928982966272
author Yiqian Liu (392940)
author2 Ruixin Zhang (48813)
Xiaojie Sun (583553)
Wei Cui (92129)
Lixin Liu (676169)
author2_role author
author
author
author
author_facet Yiqian Liu (392940)
Ruixin Zhang (48813)
Xiaojie Sun (583553)
Wei Cui (92129)
Lixin Liu (676169)
author_role author
dc.creator.none.fl_str_mv Yiqian Liu (392940)
Ruixin Zhang (48813)
Xiaojie Sun (583553)
Wei Cui (92129)
Lixin Liu (676169)
dc.date.none.fl_str_mv 2025-11-12T18:26:54Z
dc.identifier.none.fl_str_mv 10.1371/journal.pone.0334459.s007
dc.relation.none.fl_str_mv https://figshare.com/articles/dataset/The_result_of_enrich_GO_analysis_/30602401
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Biophysics
Biochemistry
Microbiology
Cell Biology
Genetics
Molecular Biology
Immunology
Biological Sciences not elsewhere classified
weighted gene co
networks using genemania
immunohistochemical experiments confirmed
gene expression omnibus
gene expression data
expression network analysis
experimental evidence confirm
immune cell populations
immune cell infiltration
novel diagnostic biomarkers
new therapeutic targets
genes mainly promote
differentially expressed genes
div >< p
identify potential disulfidptosis
immune cells
therapeutic target
related biomarkers
identify hub
shared genes
hub genes
strong useful
sample gsea
related signature
potential utility
oxidative metabolism
hepatocellular carcinoma
gsva ).
gsea ),
efficient disulfidptosis
early diagnosis
cytokine pathways
cxcl8 </
common endpoint
28 types
dc.title.none.fl_str_mv The result of enrich GO analysis.
dc.type.none.fl_str_mv Dataset
info:eu-repo/semantics/publishedVersion
dataset
description <div><p>Cirrhosis is a common endpoint in various chronic liver diseases, and often causes hepatocellular carcinoma. Studies have revealed the significant role of disulfidptosis in the occurrence and development of hepatocellular carcinoma; however, our understanding of this role is limited. Therefore, we aimed to identify potential disulfidptosis-related biomarkers for cirrhosis. We obtained the gene expression data of patients with cirrhosis from the Gene Expression Omnibus (GEO) database. Subsequently, weighted gene co-expression network analysis was performed, and the “limma” package was used to screen for differentially expressed genes (DEGs) associated with disulfidptosis. Significantly altered biological pathways were identified using Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), Gene Set Enrichment Analysis (GSEA), and Gene Set Variation Analysis (GSVA). We constructed protein–protein interaction (PPI) networks using GeneMANIA and generated receiver operating characteristic (ROC) curves to identify hub-shared genes. Additionally, we assessed the distribution of immune cell populations in cirrhotic and control specimens using single-sample GSEA (ssGSEA) and explored their relationship with hub genes. Six hub genes (<i>CXCL12, COL1A1, CXCR4, COL1A2, CCR7,</i> and <i>CXCL8</i>) were closely associated with disulfidptosis-related DEGs. Further immunohistochemical experiments confirmed the potential of <i>CCR7, CXCL12, CXCR4,</i> and <i>CXCL8</i> as novel diagnostic biomarkers and suggested their potential as new therapeutic targets. These genes mainly promote the development of liver cirrhosis through the oxidative metabolism and cytokine pathways. Furthermore, we observed positive correlations among 23 of the 28 types of immune cells. This study highlights the potential utility of immune cell infiltration and efficient disulfidptosis-related early diagnostic biomarkers in cirrhosis, and highlights its strong useful as a therapeutic target, offering potential clinical application value.</p></div>
eu_rights_str_mv openAccess
id Manara_4d95dc80a0e0dcc2f34ca60e707aaa66
identifier_str_mv 10.1371/journal.pone.0334459.s007
network_acronym_str Manara
network_name_str ManaraRepo
oai_identifier_str oai:figshare.com:article/30602401
publishDate 2025
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv CC BY 4.0
spelling The result of enrich GO analysis.Yiqian Liu (392940)Ruixin Zhang (48813)Xiaojie Sun (583553)Wei Cui (92129)Lixin Liu (676169)BiophysicsBiochemistryMicrobiologyCell BiologyGeneticsMolecular BiologyImmunologyBiological Sciences not elsewhere classifiedweighted gene conetworks using genemaniaimmunohistochemical experiments confirmedgene expression omnibusgene expression dataexpression network analysisexperimental evidence confirmimmune cell populationsimmune cell infiltrationnovel diagnostic biomarkersnew therapeutic targetsgenes mainly promotedifferentially expressed genesdiv >< pidentify potential disulfidptosisimmune cellstherapeutic targetrelated biomarkersidentify hubshared geneshub genesstrong usefulsample gsearelated signaturepotential utilityoxidative metabolismhepatocellular carcinomagsva ).gsea ),efficient disulfidptosisearly diagnosiscytokine pathwayscxcl8 </common endpoint28 types<div><p>Cirrhosis is a common endpoint in various chronic liver diseases, and often causes hepatocellular carcinoma. Studies have revealed the significant role of disulfidptosis in the occurrence and development of hepatocellular carcinoma; however, our understanding of this role is limited. Therefore, we aimed to identify potential disulfidptosis-related biomarkers for cirrhosis. We obtained the gene expression data of patients with cirrhosis from the Gene Expression Omnibus (GEO) database. Subsequently, weighted gene co-expression network analysis was performed, and the “limma” package was used to screen for differentially expressed genes (DEGs) associated with disulfidptosis. Significantly altered biological pathways were identified using Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), Gene Set Enrichment Analysis (GSEA), and Gene Set Variation Analysis (GSVA). We constructed protein–protein interaction (PPI) networks using GeneMANIA and generated receiver operating characteristic (ROC) curves to identify hub-shared genes. Additionally, we assessed the distribution of immune cell populations in cirrhotic and control specimens using single-sample GSEA (ssGSEA) and explored their relationship with hub genes. Six hub genes (<i>CXCL12, COL1A1, CXCR4, COL1A2, CCR7,</i> and <i>CXCL8</i>) were closely associated with disulfidptosis-related DEGs. Further immunohistochemical experiments confirmed the potential of <i>CCR7, CXCL12, CXCR4,</i> and <i>CXCL8</i> as novel diagnostic biomarkers and suggested their potential as new therapeutic targets. These genes mainly promote the development of liver cirrhosis through the oxidative metabolism and cytokine pathways. Furthermore, we observed positive correlations among 23 of the 28 types of immune cells. This study highlights the potential utility of immune cell infiltration and efficient disulfidptosis-related early diagnostic biomarkers in cirrhosis, and highlights its strong useful as a therapeutic target, offering potential clinical application value.</p></div>2025-11-12T18:26:54ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pone.0334459.s007https://figshare.com/articles/dataset/The_result_of_enrich_GO_analysis_/30602401CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/306024012025-11-12T18:26:54Z
spellingShingle The result of enrich GO analysis.
Yiqian Liu (392940)
Biophysics
Biochemistry
Microbiology
Cell Biology
Genetics
Molecular Biology
Immunology
Biological Sciences not elsewhere classified
weighted gene co
networks using genemania
immunohistochemical experiments confirmed
gene expression omnibus
gene expression data
expression network analysis
experimental evidence confirm
immune cell populations
immune cell infiltration
novel diagnostic biomarkers
new therapeutic targets
genes mainly promote
differentially expressed genes
div >< p
identify potential disulfidptosis
immune cells
therapeutic target
related biomarkers
identify hub
shared genes
hub genes
strong useful
sample gsea
related signature
potential utility
oxidative metabolism
hepatocellular carcinoma
gsva ).
gsea ),
efficient disulfidptosis
early diagnosis
cytokine pathways
cxcl8 </
common endpoint
28 types
status_str publishedVersion
title The result of enrich GO analysis.
title_full The result of enrich GO analysis.
title_fullStr The result of enrich GO analysis.
title_full_unstemmed The result of enrich GO analysis.
title_short The result of enrich GO analysis.
title_sort The result of enrich GO analysis.
topic Biophysics
Biochemistry
Microbiology
Cell Biology
Genetics
Molecular Biology
Immunology
Biological Sciences not elsewhere classified
weighted gene co
networks using genemania
immunohistochemical experiments confirmed
gene expression omnibus
gene expression data
expression network analysis
experimental evidence confirm
immune cell populations
immune cell infiltration
novel diagnostic biomarkers
new therapeutic targets
genes mainly promote
differentially expressed genes
div >< p
identify potential disulfidptosis
immune cells
therapeutic target
related biomarkers
identify hub
shared genes
hub genes
strong useful
sample gsea
related signature
potential utility
oxidative metabolism
hepatocellular carcinoma
gsva ).
gsea ),
efficient disulfidptosis
early diagnosis
cytokine pathways
cxcl8 </
common endpoint
28 types