Article ; Online: Breathing fresh air into respiratory research with single-cell RNA sequencing.
European respiratory review : an official journal of the European Respiratory Society
2020 Volume 29, Issue 156
Abstract: ... 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 ... the evolution of single-cell technologies with a focus on spatial and multi-omics approaches that promise ...
Abstract | 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. |
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MeSH term(s) | Computational Biology/methods ; Gene Expression Profiling ; Humans ; Lung Diseases/genetics ; Pulmonary Medicine/trends ; Sequence Analysis, RNA/methods ; Single-Cell Analysis/methods ; Transcriptome | |||||
Keywords | covid19 | |||||
Language | English | |||||
Publishing date | 2020-07-03 | |||||
Publishing country | England | |||||
Document type | Journal Article ; Review | |||||
ZDB-ID | 1077620-5 | |||||
ISSN | 1600-0617 ; 0905-9180 | |||||
ISSN (online) | 1600-0617 | |||||
ISSN | 0905-9180 | |||||
DOI | 10.1183/16000617.0060-2020 | |||||
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Database | MEDical Literature Analysis and Retrieval System OnLINE |
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