Looking at the developing lung in single-cell resolution.
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IF: 6.011
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Cited by: 2
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Abstract

Lung development is a complicated and delicate process, facilitated by spatially and temporarily coordinated cross talk of up to 40 cell types. Developmental origin and heterogeneity of lung cell lineages in context of lung development have been a focus of research efforts for decades. Bulk RNA and protein measurements, RNA and protein labeling, and lineage tracing techniques have been traditionally employed. However, the complex and heterogeneous nature of lung tissue presents a particular challenge when identifying subtle changes in gene expression in individual cell types. Rapidly developing single-cell RNA sequencing (scRNA-seq) techniques allow for unbiased and robust assessment of complex cellular dynamics during biological processes in unprecedented ways. Discovered a decade ago, scRNA-seq has been applied in respiratory research to understand lung cellular composition and to identify novel cell types. Still, very few studies to date have addressed the single-cell transcriptome in healthy or aberrantly developing lung. In this review, we discuss principal discoveries with scRNA-seq in the field of prenatal and postnatal lung development. In addition, we examine challenges and expectations, and propose future steps associated with the use of scRNA-seq to study developmental lung diseases.

Keywords

Seurat
Omics
Spatial Transcriptomics
Gene Expression
development
lung
scRNA-seq
transcriptomics

MeSH terms

Animals
Biomarkers
Computational Biology
Gene Expression Regulation, Developmental
Humans
Lung
Sequence Analysis, RNA
Single-Cell Analysis
Transcriptome

Authors

Mižíková, I
Thébaud, B

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