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Whole-organism lineage tracing by combinatorial and cumulative genome editing
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 4519609
Author(s) McKenna, Aaron; Findlay, Gregory M.; Gagnon, James A.; Horwitz, Marshall S.; Schier, Alexander F.; Shendure, Jay
Author(s) at UniBasel Schier, Alexander
Year 2016
Title Whole-organism lineage tracing by combinatorial and cumulative genome editing
Journal Science (New York, N.Y.)
Volume 353
Number 6298
Pages / Article-Number aaf7907
Mesh terms Animals; Bacterial Proteins; CRISPR-Associated Protein 9; CRISPR-Cas Systems; Cell Division, genetics; Cell Lineage; Cell Tracking, methods; DNA Barcoding, Taxonomic; Endonucleases; Genetic Engineering, methods; Mutation; Single-Cell Analysis; Stem Cells, cytology, metabolism; Zebrafish; Zygote
Abstract Multicellular systems develop from single cells through distinct lineages. However, current lineage-tracing approaches scale poorly to whole, complex 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 clustered regularly interspaced short palindromic repeats (CRISPR)/Cas9 target sites, marks cells and enables the elucidation of lineage relationships via 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 organs derive from relatively few embryonic progenitors. In future analyses, genome editing of synthetic target arrays for lineage tracing (GESTALT) can be used to generate large-scale maps of cell lineage in multicellular systems for normal development and disease.
ISSN/ISBN 1095-9203
URL https://science.sciencemag.org/content/353/6298/aaf7907
edoc-URL https://edoc.unibas.ch/74116/
Full Text on edoc No
Digital Object Identifier DOI 10.1126/science.aaf7907
PubMed ID http://www.ncbi.nlm.nih.gov/pubmed/27229144
Document type (ISI) Journal Article
 
   

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