Single-cell mapping of gene expression landscapes and lineage in the zebrafish embryo.
Science
; 360(6392): 981-987, 2018 06 01.
Article
en En
| MEDLINE
| ID: mdl-29700229
ABSTRACT
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.
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Pez Cebra
/
Regulación del Desarrollo de la Expresión Génica
/
Proteínas de Pez Cebra
/
Evolución Clonal
Límite:
Animals
Idioma:
En
Año:
2018
Tipo del documento:
Article