A high-resolution cell atlas of the domestic pig lung and an online platform for exploring lung single-cell data

J Genet Genomics. 2021 May 20;48(5):411-425. doi: 10.1016/j.jgg.2021.03.012. Epub 2021 Apr 30.

Abstract

The genetically engineered pig is regarded as an optimal source of organ transplantation for humans and an excellent model for human disease research, given its comparable physiology to human beings. A myriad of single-cell RNA sequencing (scRNA-seq) data on humans has been reported, but such data on pigs are scarce. Here, we apply scRNA-seq technology to study the cellular heterogeneity of 3-month-old pig lungs, generating the single-cell atlas of 13,580 cells covering 16 major cell types. Based on these data, we systematically characterize the similarities and differences in the cellular cross-talk and expression patterns of respiratory virus receptors in each cell type of pig lungs compared with human lungs. Furthermore, we analyze pig lung xenotransplantation barriers and reported the cell-type expression patterns of 10 genes associated with pig-to-human immunobiological incompatibility and coagulation dysregulation. We also investigate the conserved transcription factors (TFs) and their candidate target genes and constructed five conserved TF regulatory networks in the main cell types shared by pig and human lungs. Finally, we present a comprehensive and openly accessible online platform, ScdbLung. Our scRNA-seq atlas of the domestic pig lung and ScdbLung database can guide pig lung research and clinical applicability.

Keywords: Cross-species comparison; Lung single-cell platform; Pig lung; Signaling pathway; Transcription factor regulation; scRNA-seq.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Biomarkers
  • Computational Biology / methods
  • Conserved Sequence
  • Databases, Genetic
  • Disease Susceptibility / immunology
  • Evolution, Molecular
  • Gene Expression Profiling*
  • Genetic Predisposition to Disease
  • Host-Pathogen Interactions / genetics
  • Humans
  • Lung / metabolism*
  • Molecular Sequence Annotation
  • RNA-Seq
  • Single-Cell Analysis / methods*
  • Sus scrofa / genetics*
  • Swine
  • Transcriptome*
  • Web Browser

Substances

  • Biomarkers