MorphoSeq: Full Single-Cell Transcriptome Dynamics Up to Gastrulation in a Chordate.

ABSTRACT: Single-cell RNA sequencing (scRNA-seq) provides a leap forward in resolving cellular diversity and developmental trajectories but fails to comprehensively delineate the spatial organization and precise cellular makeup of individual embryos. Here, we reconstruct from scRNA-seq and light sheet imaging data a canonical digital embryo that captures the genome-wide gene expression trajectory of every single cell at every cell division in the 18 lineages up to gastrulation in the ascidian Phallusia mammillata. By using high-coverage scRNA-seq, we devise a computational framework that stratifies single cells of individual embryos into cell types without prior knowledge. Unbiased transcriptome data analysis mapped each cell's physical position and lineage history, yielding the complete history of

SUBMITTER: Sladitschek HL 

PROVIDER: S-EPMC7237864 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature