{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Tan Z"],"funding":["Zijin program of Zhejiang University School","Science Technology Foundation of Jiangxi Province","Health Innovative Talents in Zhejiang Province"],"pagination":["127"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10170809"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["24(1)"],"pubmed_abstract":["<h4>Background</h4>Congenital pulmonary airway malformation (CPAM) is the most frequent pulmonary developmental malformation and the pathophysiology remains poorly understood. This study aimed to identify the characteristic gene expression patterns and the marker genes essential to CPAM.<h4>Methods</h4>Tissues from the cystic area displaying CPAM and the area of normal appearance were obtained during surgery. Bulk RNA sequencing (RNA-seq) and single-cell RNA sequencing (scRNA-seq) were performed for integrating analysis. Iterative weighted gene correlation network analysis (iWGCNA) was used to identify specifically expressed genes to CPAM.<h4>Results</h4>In total, 2074 genes were significantly differentially expressed between the CPAM and control areas. Of these differentially expressed ge"],"journal":["Respiratory research"],"pubmed_title":["Integrated bulk and single-cell RNA-sequencing reveals SPOCK2 as a novel biomarker gene in the development of congenital pulmonary airway malformation."],"pmcid":["PMC10170809"],"funding_grant_id":["20212BAG70003","2022-16","2021KY762"],"pubmed_authors":["Chen Q","Yu L","Li J","Zhang J","Li F","Chen H","Xue Z","Zhang S","Huang T","Shu Q","Tan Z","Gao Y","Liang L"],"additional_accession":[]},"is_claimable":false,"name":"Integrated bulk and single-cell RNA-sequencing reveals SPOCK2 as a novel biomarker gene in the development of congenital pulmonary airway malformation.","description":"<h4>Background</h4>Congenital pulmonary airway malformation (CPAM) is the most frequent pulmonary developmental malformation and the pathophysiology remains poorly understood. This study aimed to identify the characteristic gene expression patterns and the marker genes essential to CPAM.<h4>Methods</h4>Tissues from the cystic area displaying CPAM and the area of normal appearance were obtained during surgery. Bulk RNA sequencing (RNA-seq) and single-cell RNA sequencing (scRNA-seq) were performed for integrating analysis. Iterative weighted gene correlation network analysis (iWGCNA) was used to identify specifically expressed genes to CPAM.<h4>Results</h4>In total, 2074 genes were significantly differentially expressed between the CPAM and control areas. Of these differentially expressed ge","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 May","modification":"2025-04-27T01:39:52.217Z","creation":"2025-04-06T18:18:19.533Z"},"accession":"S-EPMC10170809","cross_references":{"pubmed":["37165378"],"doi":["10.1186/s12931-023-02436-z"]}}