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Whole organism lineage tracing by combinatorial and cumulative genome editing

GSE81713 Homo sapiens; Danio rerio Expression profiling by high throughput sequencing; Genome variation profiling by high throughput sequencing 136 samples Submitted 2016/05/26 Platform GPL15520Platform GPL20828Platform GPL21930
Summary
Multicellular systems develop from single cells through a lineage, but current lineage tracing approaches scale poorly to whole organisms. Here we use genome editing to progressively introduce and accumulate diverse mutations in a DNA barcode over multiple rounds of cell division. The barcode, an array of CRISPR/Cas9 target sites, records lineage relationships in the patterns of mutations shared between cells. In cell culture and zebrafish, we show that rates and patterns of editing are tunable, and that thousands of lineage-informative barcode alleles can be generated. By sampling hundreds of thousands of cells from individual zebrafish, we find that most cells in adult zebrafish organs derive from relatively few embryonic progenitors. Genome editing of synthetic target arrays for lineage tracing (GESTALT) will help generate large-scale maps of cell lineage in multicellular systems.
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Direct links to NCBI, no account and no request form: the whole study as GSE81713_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 136 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA322340 and SRA study SRP075493. Searching any of these in the dataset finder brings you back here.

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