Single-cell transcriptomics reveal cell type-specific molecular changes and altered intercellular communications in chronic obstructive pulmonary disease
Download from source ↗Dataset overview
Single-cell transcriptomics highlights immunological dysregulations of monocytes in the pathobiology of COPD.
Abstract
<h4>Background</h4>Chronic obstructive pulmonary disease (COPD) is a common respiratory disease, whose pathogenetic complexity was strongly associated with aging/smoking and poorly understood.<h4>Methods</h4>Here we performed single-cell RNA sequencing (scRNA-seq) analysis of 66,610 cells from COPD and age-stratified control lung tissues of donors with different smoking histories to prioritize cell types most perturbed in COPD lungs in aging/smoking dependent or independent manner. By performing an array of advanced bioinformatic analyses, such as gene set enrichment analysis, trajectory analysis, cell-cell interactions analysis, regulatory potential analysis, weighted correlation network analysis, functional interaction analysis, and gene set variation analysis, we integrated cell-type-level alterations into a system-level malfunction and provided a more clarified COPD pathological model containing specific mechanisms by which aging and smoking facilitate COPD development. Finally, we integrated the publicly available scRNA-seq data of 9 individuals, resulting in a total of 110,931 cells, and replicated the analyses to enhance the credibility of our findings.<h4>Results</h4>Our study pointed to enrichment of COPD molecular alteration in monocytes, which further induced a previously unrecognized pro-inflammatory effect on alveolar epithelial cells. In addition, aged monocytes and club cells facilitated COPD development via maintaining an autoimmune airway niche. Unexpectedly, macrophages, whose defect to resolve inflammation was long-recognized in COPD pathogenesis, primarily induced an imbalance of sphingolipids rheostat in a smoking-dependent way. These findings were validated in a meta-analysis including other public single-cell transcriptomic data.<h4>Conclusions</h4>In sum, our study provided a clarified view of COPD pathogenesis and demonstrated the potential of targeting monocytes in COPD diagnosis and treatment.
doi:10.1186/s12931-022-02293-2 ↗ PMID 36539833 ↗ PMC9764587 ↗
Study facts
- Organism
- Homo sapiens
- Platform
- BD Rhapsody
- Age group
- adult
- Disease groups
- —
- Anatomical sites
- lung
Data availability
- Raw counts
- Processed matrix
File types
TXT
Files and samples
- lung9
| Accession | Sample | Tissue | Molecule |
|---|---|---|---|
GSM5226822 |
COPD1 | lung | total RNA |
GSM5226823 |
COPD2 | lung | total RNA |
GSM5226824 |
COPD3 | lung | total RNA |
GSM5226825 |
ctl_o1 | lung | total RNA |
GSM5226826 |
ctl_o2 | lung | total RNA |
GSM5226827 |
ctl_o3 | lung | total RNA |
GSM5226828 |
ctl_y1 | lung | total RNA |
GSM5226829 |
ctl_y2 | lung | total RNA |
GSM5226830 |
ctl_y3 | lung | total RNA |
Strengths & limitations for reuse
Strengths
- Raw reads are advertised
- Raw counts are advertised
- Processed matrices are advertised
- Cell metadata are advertised
Limitations
- Not documented: participant counts are documented
Extraction evidence & provenance
Each extracted field is shown with the source excerpt and location used to resolve it.
Assay
| Field | Value | Evidence |
|---|---|---|
assay.assay_type |
single-cell RNA sequencing |
single-cell RNA sequencing (scRNA-seq) analysis Section |
assay.library_chemistry |
BD Rhapsody WTA Amplification Kit |
scRNA-seq libraries were constructed using BD Rhapsody™ WTA Amplification Kit (BD, 633801) Section |
assay.platform |
BD Rhapsody |
scRNA-seq libraries were constructed using BD Rhapsody™ WTA Amplification Kit (BD, 633801) Section |
assay.reference_genome |
GENCODE v29 |
Genome_build: GENCODE v29 Section |
assay.sequencing_type |
scrna_seq |
single-cell RNA-seq analysis for lung of COPD and age-stratified control lung tissues of donors with different smoking histories Section |
Cohort
| Field | Value | Evidence |
|---|---|---|
cohort.age_group |
adult from source |
GEO age characteristics: 63; 73; 50; 73; 71; 75; 28; 35; 27 Section |
Data_Assets
| Field | Value | Evidence |
|---|---|---|
data_assets.cell_metadata |
True |
GSE171541_CellType_Metadata.txt.gz Section |
data_assets.open_access |
True |
"ftplink": "ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE171nnn/GSE171541/" Section |
data_assets.participant_metadata |
True |
"age": "63", "group": "smoker", "tissue": "lung", "disease": "COPD" Section |
data_assets.processed_matrix |
True |
Supplementary_files_format_and_content: tab-delimited text files include expression matrix and cell type metadata Section |
data_assets.raw_counts |
True |
GSE171541_UMI_count.txt.gz Section |
data_assets.raw_reads |
True |
SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRP313634 Section |
Processing
| Field | Value | Evidence |
|---|---|---|
processing.quality_control_reported |
True |
Cells filtered with < 301 expressed genes or > 30% UMIs originating from mitochondrial Section |
Specimens
| Field | Value | Evidence |
|---|---|---|
specimens.anatomical_sites |
['lung'] |
"tissue": "lung" Section |
specimens.number_of_cells |
66610 |
analysis of 66,610 cells from COPD and age-stratified control lung tissues Section |
specimens.number_of_samples |
9 |
"n_samples": 9 Section |