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Recording development with single cell dynamic lineage tracing
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 organi...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Company of Biologists Ltd
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6602349/ https://www.ncbi.nlm.nih.gov/pubmed/31249005 http://dx.doi.org/10.1242/dev.169730 |
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author | McKenna, Aaron Gagnon, James A. |
author_facet | McKenna, Aaron Gagnon, James A. |
author_sort | McKenna, Aaron |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6602349 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | The Company of Biologists Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-66023492019-07-16 Recording development with single cell dynamic lineage tracing McKenna, Aaron Gagnon, James A. Development Review 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. The Company of Biologists Ltd 2019-06-15 2019-06-27 /pmc/articles/PMC6602349/ /pubmed/31249005 http://dx.doi.org/10.1242/dev.169730 Text en © 2019. Published by The Company of Biologists Ltd http://creativecommons.org/licenses/by/4.0This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed. |
spellingShingle | Review McKenna, Aaron Gagnon, James A. Recording development with single cell dynamic lineage tracing |
title | Recording development with single cell dynamic lineage tracing |
title_full | Recording development with single cell dynamic lineage tracing |
title_fullStr | Recording development with single cell dynamic lineage tracing |
title_full_unstemmed | Recording development with single cell dynamic lineage tracing |
title_short | Recording development with single cell dynamic lineage tracing |
title_sort | recording development with single cell dynamic lineage tracing |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6602349/ https://www.ncbi.nlm.nih.gov/pubmed/31249005 http://dx.doi.org/10.1242/dev.169730 |
work_keys_str_mv | AT mckennaaaron recordingdevelopmentwithsinglecelldynamiclineagetracing AT gagnonjamesa recordingdevelopmentwithsinglecelldynamiclineagetracing |