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The dynamic transcriptional landscape of mammalian organogenesis at single cell resolution

ABSTRACT: The dynamic transcriptional landscape of mammalian organogenesis at single cell resolution

PROVIDER: PRJNA490754 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR7827210_1.fastq.gz	Fastqsanger.gz
	SRR7827210_2.fastq.gz	Fastqsanger.gz
	SRR7827220_1.fastq.gz	Fastqsanger.gz
	SRR7827220_2.fastq.gz	Fastqsanger.gz
	SRR7827230_1.fastq.gz	Fastqsanger.gz

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The dynamic transcriptional landscape of mammalian organogenesis at single cell resolution

Project description:During mammalian organogenesis, the cells of the three germ layers transform into an embryo that includes most major internal and external organs. The key regulators of developmental defects can be studied during this crucial period, but conventional approaches lack the throughput and resolution to obtain a global view of the molecular states and trajectories of a rapidly diversifying and expanding number of cell types. Here we set out to investigate the transcriptional dynamics of mouse development during organogenesis at single cell resolution. With an improved single cell combinatorial indexing-based protocol (‘sci-RNA-seq3’), we profiled over 2 million cells derived from 61 mouse embryos staged between 9.5 and 13.5 days of gestation (E9.5 to E13.5; 10 to 15 replicates per timepoint). We identify hundreds of expanding, contracting and transient cell types, many of which are only detected because of the depth of cellular coverage obtained here, and define the corresponding sets of cell type-specific marker genes, several of which we validate by whole mount in situ hybridization. We explore the dynamics of proliferation and gene expression within cell types over time, including focused analyses of the apical ectodermal ridge, limb mesenchyme and skeletal muscle. With a new algorithm (Monocle 3), we identify the major single cell developmental trajectories of mouse organogenesis, and within these discover examples of distinct paths to the same endpoint, i.e. branching and convergence. These data comprise a foundational resource for mammalian developmental biology, and are made available in a way that will facilitate their ongoing annotation by the research community.

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