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Systematic mapping of cell state trajectories, cell lineage, and perturbations in the zebrafish embryo using single cell transcriptomics

GSE112294 Danio rerio Expression profiling by high throughput sequencing 18 samples Submitted 2018/04/26 Platform GPL20828
Summary
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 chordin-deficient embryos. We provide web-based resources for further analysis of the single-cell data.
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Direct links to NCBI, no account and no request form: the whole study as GSE112294_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 18 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA445487 and SRA study SRP136369. Searching any of these in the dataset finder brings you back here.

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