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Integrated bulk and single-cell RNA-sequencing reveals SPOCK2 as a novel biomarker gene in the development of congenital pulmonary airway malformation
by
Liang, Liang
, Tan, Zheng
, Yu, Lan
, Chen, Qiang
, Zhang, Jian
, Li, Jianhua
, Xue, Ziru
, Chen, Hongyu
, Zhang, Shouhua
, Shu, Qiang
, Gao, Yue
, Huang, Ting
, Li, Fengxia
in
Analysis
/ Biomarkers
/ Biomarkers - metabolism
/ Bulk RNA sequencing
/ Care and treatment
/ Congenital pulmonary airway malformation
/ Cystic Adenomatoid Malformation of Lung, Congenital - metabolism
/ Cysts
/ Datasets
/ Diagnosis
/ Epithelium
/ Epithelium - metabolism
/ Gene expression
/ Gene sequencing
/ Genes
/ Genetic disorders
/ Genomes
/ Humans
/ Immune response
/ iWGCNA
/ Lung - metabolism
/ Medicine
/ Medicine & Public Health
/ Modules
/ Network analysis
/ Ontology
/ Pneumology/Respiratory System
/ Principal components analysis
/ Proteins
/ Proteoglycans
/ Pulmonary function tests
/ Respiratory tract
/ Ribonucleic acid
/ RNA
/ RNA - genetics
/ RNA - metabolism
/ RNA sequencing
/ Single-cell RNA sequencing
/ SPOCK2
/ STX11
/ Therapeutic targets
2023
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Integrated bulk and single-cell RNA-sequencing reveals SPOCK2 as a novel biomarker gene in the development of congenital pulmonary airway malformation
by
Liang, Liang
, Tan, Zheng
, Yu, Lan
, Chen, Qiang
, Zhang, Jian
, Li, Jianhua
, Xue, Ziru
, Chen, Hongyu
, Zhang, Shouhua
, Shu, Qiang
, Gao, Yue
, Huang, Ting
, Li, Fengxia
in
Analysis
/ Biomarkers
/ Biomarkers - metabolism
/ Bulk RNA sequencing
/ Care and treatment
/ Congenital pulmonary airway malformation
/ Cystic Adenomatoid Malformation of Lung, Congenital - metabolism
/ Cysts
/ Datasets
/ Diagnosis
/ Epithelium
/ Epithelium - metabolism
/ Gene expression
/ Gene sequencing
/ Genes
/ Genetic disorders
/ Genomes
/ Humans
/ Immune response
/ iWGCNA
/ Lung - metabolism
/ Medicine
/ Medicine & Public Health
/ Modules
/ Network analysis
/ Ontology
/ Pneumology/Respiratory System
/ Principal components analysis
/ Proteins
/ Proteoglycans
/ Pulmonary function tests
/ Respiratory tract
/ Ribonucleic acid
/ RNA
/ RNA - genetics
/ RNA - metabolism
/ RNA sequencing
/ Single-cell RNA sequencing
/ SPOCK2
/ STX11
/ Therapeutic targets
2023
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Integrated bulk and single-cell RNA-sequencing reveals SPOCK2 as a novel biomarker gene in the development of congenital pulmonary airway malformation
by
Liang, Liang
, Tan, Zheng
, Yu, Lan
, Chen, Qiang
, Zhang, Jian
, Li, Jianhua
, Xue, Ziru
, Chen, Hongyu
, Zhang, Shouhua
, Shu, Qiang
, Gao, Yue
, Huang, Ting
, Li, Fengxia
in
Analysis
/ Biomarkers
/ Biomarkers - metabolism
/ Bulk RNA sequencing
/ Care and treatment
/ Congenital pulmonary airway malformation
/ Cystic Adenomatoid Malformation of Lung, Congenital - metabolism
/ Cysts
/ Datasets
/ Diagnosis
/ Epithelium
/ Epithelium - metabolism
/ Gene expression
/ Gene sequencing
/ Genes
/ Genetic disorders
/ Genomes
/ Humans
/ Immune response
/ iWGCNA
/ Lung - metabolism
/ Medicine
/ Medicine & Public Health
/ Modules
/ Network analysis
/ Ontology
/ Pneumology/Respiratory System
/ Principal components analysis
/ Proteins
/ Proteoglycans
/ Pulmonary function tests
/ Respiratory tract
/ Ribonucleic acid
/ RNA
/ RNA - genetics
/ RNA - metabolism
/ RNA sequencing
/ Single-cell RNA sequencing
/ SPOCK2
/ STX11
/ Therapeutic targets
2023
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Integrated bulk and single-cell RNA-sequencing reveals SPOCK2 as a novel biomarker gene in the development of congenital pulmonary airway malformation
Journal Article
Integrated bulk and single-cell RNA-sequencing reveals SPOCK2 as a novel biomarker gene in the development of congenital pulmonary airway malformation
2023
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Overview
Background
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.
Methods
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.
Results
In total, 2074 genes were significantly differentially expressed between the CPAM and control areas. Of these differentially expressed genes (DEGs), 1675 genes were up-regulated and 399 genes were down-regulated. Gene ontology analysis revealed these DEGs were specifically enriched in ciliated epithelium and involved in immune response. We also identified several CPAM-related modules by iWGCNA, among them, P15_I4_M3 module was the most influential module for distinguishing CPAMs from controls. By combining the analysis of the expression dataset from RNA-seq and scRNA-seq,
SPOCK2, STX11
, and
ZNF331
were highlighted in CPAM.
Conclusions
Through our analysis of expression datasets from both scRNA-seq and bulk RNA-seq of tissues obtained from patients with CPAM, we identified the characteristic gene expression patterns associated with the condition. Our findings suggest that
SPOCK2
could be a potential biomarker gene for the diagnosis and therapeutic target in the development of CPAM, whereas
STX11
and
ZNF331
might serve as prognostic markers for this condition. Further investigations with larger samples and function studies are necessary to confirm the involvement of these genes in CPAM.
Publisher
BioMed Central,BioMed Central Ltd,Nature Publishing Group,BMC
Subject
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