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Dataset Information

Simultaneous single-cell profiling of lineages and cell types in the vertebrate brain.


ABSTRACT: The lineage relationships among the hundreds of cell types generated during development are difficult to reconstruct. A recent method, GESTALT, used CRISPR-Cas9 barcode editing for large-scale lineage tracing, but was restricted to early development and did not identify cell types. Here we present scGESTALT, which combines the lineage recording capabilities of GESTALT with cell-type identification by single-cell RNA sequencing. The method relies on an inducible system that enables barcodes to be edited at multiple time points, capturing lineage information from later stages of development. Sequencing of ∼60,000 transcriptomes from the juvenile zebrafish brain identified >100 cell types and marker genes. Using these data, we generate lineage trees with hundreds of branches that help uncover

SUBMITTER: Raj B 

PROVIDER: S-EPMC5938111 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature