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Recording development with single cell dynamic lineage tracing.
McKenna, Aaron; Gagnon, James A.
Afiliação
  • McKenna A; Department of Molecular and Systems Biology, Geisel School of Medicine, Dartmouth College, Hanover, NH 03755, USA aaron.mckenna@dartmouth.edu james.gagnon@utah.edu.
  • Gagnon JA; Center for Cell and Genome Science, University of Utah, Salt Lake City, UT 84112, USA aaron.mckenna@dartmouth.edu james.gagnon@utah.edu.
Development ; 146(12)2019 06 27.
Article em En | MEDLINE | ID: mdl-31249005
ABSTRACT
Every animal grows from a single fertilized egg into an intricate network of cell types and organ systems. This process is captured in a lineage tree a diagram of every cell's ancestry back to the founding zygote. Biologists have long sought to trace this cell lineage tree in individual organisms and have developed a variety of technologies to map the progeny of specific cells. However, there are billions to trillions of cells in complex organisms, and conventional approaches can only map a limited number of clonal populations per experiment. A new generation of tools that use molecular recording methods integrated with single cell profiling technologies may provide a solution. Here, we summarize recent breakthroughs in these technologies, outline experimental and computational challenges, and discuss biological questions that can be addressed using single cell dynamic lineage tracing.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biologia do Desenvolvimento / Linhagem da Célula / Análise de Célula Única Limite: Animals / Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biologia do Desenvolvimento / Linhagem da Célula / Análise de Célula Única Limite: Animals / Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article