Breathing fresh air into respiratory research with single-cell RNA sequencing.
IF: 9.553
Cited by: 8


The complex cellular heterogeneity of the lung poses a unique challenge to researchers in the field. While the use of bulk RNA sequencing has become a ubiquitous technology in systems biology, the technique necessarily averages out individual contributions to the overall transcriptional landscape of a tissue. Single-cell RNA sequencing (scRNA-seq) provides a robust, unbiased survey of the transcriptome comparable to bulk RNA sequencing while preserving information on cellular heterogeneity. In just a few years since this technology was developed, scRNA-seq has already been adopted widely in respiratory research and has contributed to impressive advancements such as the discoveries of the pulmonary ionocyte and of a profibrotic macrophage population in pulmonary fibrosis. In this review, we discuss general technical considerations when considering the use of scRNA-seq and examine how leading investigators have applied the technology to gain novel insights into respiratory biology, from development to disease. In addition, we discuss the evolution of single-cell technologies with a focus on spatial and multi-omics approaches that promise to drive continued innovation in respiratory research.


Spatial Gene Expression
Spatial Transcriptomics
Spatial Omics

MeSH terms

Computational Biology
Gene Expression Profiling
Lung Diseases
Pulmonary Medicine
Sequence Analysis, RNA
Single-Cell Analysis


Alexander, Michael J
Budinger, G R Scott
Reyfman, Paul A

Recommend literature

Similar data