Foundry120 atlas

Single-Cell Transcriptomic Analysis of Human Lung Reveals Complex Multicellular Changes During Pulmonary Fibrosis II

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Dataset overview

Participants 17
Samples 17
Reuse readiness 4.6/10 evidence-backed score

Single-Cell Transcriptomic Analysis of Human Lung Provides Insights into the Pathobiology of Pulmonary Fibrosis.

Abstract

<b>Rationale:</b> The contributions of diverse cell populations in the human lung to pulmonary fibrosis pathogenesis are poorly understood. Single-cell RNA sequencing can reveal changes within individual cell populations during pulmonary fibrosis that are important for disease pathogenesis. <b>Objectives:</b> To determine whether single-cell RNA sequencing can reveal disease-related heterogeneity within alveolar macrophages, epithelial cells, or other cell types in lung tissue from subjects with pulmonary fibrosis compared with control subjects. <b>Methods:</b> We performed single-cell RNA sequencing on lung tissue obtained from eight transplant donors and eight recipients with pulmonary fibrosis and on one bronchoscopic cryobiospy sample from a patient with idiopathic pulmonary fibrosis. We validated these data using <i>in situ</i> RNA hybridization, immunohistochemistry, and bulk RNA-sequencing on flow-sorted cells from 22 additional subjects. <b>Measurements and Main Results:</b> We identified a distinct, novel population of profibrotic alveolar macrophages exclusively in patients with fibrosis. Within epithelial cells, the expression of genes involved in Wnt secretion and response was restricted to nonoverlapping cells. We identified rare cell populations including airway stem cells and senescent cells emerging during pulmonary fibrosis. We developed a web-based tool to explore these data. <b>Conclusions:</b> We generated a single-cell atlas of pulmonary fibrosis. Using this atlas, we demonstrated heterogeneity within alveolar macrophages and epithelial cells from subjects with pulmonary fibrosis. These results support the feasibility of discovery-based approaches using next-generation sequencing technologies to identify signaling pathways for targeting in the development of personalized therapies for patients with pulmonary fibrosis.

Study facts

Organism
Homo sapiens
Platform
10x Genomics Chromium Single Cell Controller; Illumina HiSeq 4000
Age group
Disease groups
Anatomical sites

Data availability

  • Raw counts
  • Processed matrix

File types H5

Files and samples

Strengths & limitations for reuse

Strengths

  • Raw reads are advertised
  • Raw counts are advertised
  • Processed matrices are advertised
  • Participant counts are documented

Limitations

  • Not documented: cell metadata are advertised
Extraction evidence & provenance

Each extracted field is shown with the source excerpt and location used to resolve it.

Assay

FieldValueEvidence
assay.assay_type single-cell RNA sequencing
single cell RNA-seq libraries were generated

Section series_overall_design, offset —

assay.library_chemistry 10x Genomics 3' V2 chemistry
10x Genomics, 3' single-cell RNA-seq, V2 chemistry (Protocol CG00052 Rev B).

Section samples, offset —

assay.platform 10x Genomics Chromium Single Cell Controller; Illumina HiSeq 4000
using 3' V2 chemistry kit on Chromium Single cell controller (10x Genomics)

Section series_overall_design, offset —

assay.reference_genome GRCh38
Genome_build: GRCh38

Section samples, offset —

assay.sequencing_type scrna_seq
single cell RNA-seq libraries were generated

Section series_overall_design, offset —

Cohort

FieldValueEvidence
cohort.total_participants 17
Single-cell suspensions from eight donor lungs and nine lungs from patients with various forms of pulmonary fibrosis were prepared

Section series_overall_design, offset —

Data_Assets

FieldValueEvidence
data_assets.processed_matrix True
Supplementary_files_format_and_content: Raw and filtered matrices in HDF5 format.

Section samples, offset —

data_assets.raw_counts True
This GEO submission contains only processed data (raw counts tables in HDF5 format)

Section series_overall_design, offset —

data_assets.raw_reads True
raw data (FASTQ files) available from dbGaP/SRA (phs001750.v1.p1).

Section series_overall_design, offset —

Specimens

FieldValueEvidence
specimens.number_of_samples 17
"n_samples": 17

Section series_summary, offset —