Northwestern University, Feinberg School of Medicine, Dept of Medicine, Division of Pulmonary and Critical Care Medicine, Chicago, IL, USA.
Eur Respir Rev. 2020 Jul 3;29(156). doi: 10.1183/16000617.0060-2020. Print 2020 Jun 30.
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.
肺部复杂的细胞异质性给该领域的研究人员带来了独特的挑战。虽然批量 RNA 测序已成为系统生物学中无处不在的技术,但该技术必然会平均化组织整体转录景观中个体的贡献。单细胞 RNA 测序(scRNA-seq)在保留细胞异质性信息的同时,提供了与批量 RNA 测序相当的转录组稳健、无偏的调查。自这项技术发展以来的短短几年中,scRNA-seq 已在呼吸研究中广泛采用,并为令人印象深刻的进展做出了贡献,例如发现了肺离子细胞和肺纤维化中的致纤维化巨噬细胞群。在这篇综述中,我们讨论了在考虑使用 scRNA-seq 时的一般技术注意事项,并研究了主要研究人员如何应用该技术来深入了解呼吸生物学,从发育到疾病。此外,我们还讨论了单细胞技术的演变,重点介绍了空间和多组学方法,这些方法有望推动呼吸研究的持续创新。