{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Sun X"],"funding":["Research Program of Science and Technology at Universities of Inner Mongolia Autonomous Region","National Natural Science Foundation of China"],"pagination":["1111812"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9977830"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["10"],"pubmed_abstract":["<h4>Objective</h4>This study aimed to analyze potential biomarkers for systemic sclerosis (SSc) by constructing lncRNA-miRNA-mRNA networks in circulating exosomes (cirexos).<h4>Materials and methods</h4>Differentially expressed mRNAs (DEmRNAs) and lncRNAs (DElncRNAs) in SSc cirexos were screened using high-throughput sequencing and detected with real-time quantitative PCR (RT-qPCR). Differentially expressed genes (DEGs) were analyzed using the DisGeNET, GeneCards, GSEA4.2.3, Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases. Receiver operating characteristic (ROC) curves, correlation analyses, and a double-luciferase reporter gene detection assay were used to analyze competing endogenous RNA (ceRNA) networks and clinical data.<h4>Results</h4>In this study, 28"],"journal":["Frontiers in medicine"],"pubmed_title":["Identification of lncRNA-miRNA-mRNA networks in circulating exosomes as potential biomarkers for systemic sclerosis."],"pmcid":["PMC9977830"],"funding_grant_id":["2019MS08055","81860294","2021MS08045"],"pubmed_authors":["Wang B","Ding T","Geng L","Fei H","Sun X","Chang Z","Wang Y"],"additional_accession":[]},"is_claimable":false,"name":"Identification of lncRNA-miRNA-mRNA networks in circulating exosomes as potential biomarkers for systemic sclerosis.","description":"<h4>Objective</h4>This study aimed to analyze potential biomarkers for systemic sclerosis (SSc) by constructing lncRNA-miRNA-mRNA networks in circulating exosomes (cirexos).<h4>Materials and methods</h4>Differentially expressed mRNAs (DEmRNAs) and lncRNAs (DElncRNAs) in SSc cirexos were screened using high-throughput sequencing and detected with real-time quantitative PCR (RT-qPCR). Differentially expressed genes (DEGs) were analyzed using the DisGeNET, GeneCards, GSEA4.2.3, Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases. Receiver operating characteristic (ROC) curves, correlation analyses, and a double-luciferase reporter gene detection assay were used to analyze competing endogenous RNA (ceRNA) networks and clinical data.<h4>Results</h4>In this study, 28","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023","modification":"2025-04-21T23:46:41.335Z","creation":"2025-04-05T19:13:22.25Z"},"accession":"S-EPMC9977830","cross_references":{"pubmed":["36873898"],"doi":["10.3389/fmed.2023.1111812"]}}