Portal de Periódicos da CAPES

Single-cell mapping of gene expression landscapes and lineage in the zebrafish embryo

2018; American Association for the Advancement of Science; Volume: 360; Issue: 6392 Linguagem: Inglês

10.1126/science.aar4362

1095-9203

Daniel E. Wagner, Caleb Weinreb, Zach M. Collins, James Briggs, Sean G. Megason, Allon M. Klein,

Cell Image Analysis Techniques

High-throughput mapping of cellular differentiation hierarchies from single-cell data promises to empower systematic interrogations of vertebrate development and disease. Here we applied single-cell RNA sequencing to >92,000 cells from zebrafish embryos during the first day of development. Using a graph-based approach, we mapped a cell-state landscape that describes axis patterning, germ layer formation, and organogenesis. We tested how clonally related cells traverse this landscape by developing a transposon-based barcoding approach (TracerSeq) for reconstructing single-cell lineage histories. Clonally related cells were often restricted by the state landscape, including a case in which two independent lineages converge on similar fates. Cell fates remained restricted to this landscape in embryos lacking the chordin gene. We provide web-based resources for further analysis of the single-cell data.