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  Molecular recording of mammalian Embryogenesis

Chan, M. M., Smith, Z. D., Grosswendt, S., Kretzmer, H., Norman, T. M., Adamson, B., et al. (2019). Molecular recording of mammalian Embryogenesis. Nature, 570(7759), 77-82. doi:10.1038/s41586-019-1184-5.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0004-9923-8 Version Permalink: http://hdl.handle.net/21.11116/0000-0004-9924-7
Genre: Journal Article

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© 2019 Springer Nature Publishing AG
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 Creators:
Chan, Michelle M. , Author
Smith, Zachary D. , Author
Grosswendt, Stefanie1, Author              
Kretzmer, Helene1, Author              
Norman, Thomas M. , Author
Adamson, Britt , Author
Jost, Marco, Author
Quinn, Jeffrey J. , Author
Yang, Dian, Author
Jones, Matthew G. , Author
Khodaverdian, Alex, Author
Nir, Yosef, Author
Meissner, Alexander1, Author              
Weissman, Jonathan S., Author
Affiliations:
1Dept. of Genome Regulation (Head: Alexander Meissner), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_2379694              

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 Abstract: Ontogeny describes the emergence of complex multicellular organisms from single totipotent cells. This field is particularly challenging in mammals, owing to the indeterminate relationship between self-renewal and differentiation, variation in progenitor field sizes, and internal gestation in these animals. Here we present a flexible, high-information, multi-channel molecular recorder with a single-cell readout and apply it as an evolving lineage tracer to assemble mouse cell-fate maps from fertilization through gastrulation. By combining lineage information with single-cell RNA sequencing profiles, we recapitulate canonical developmental relationships between different tissue types and reveal the nearly complete transcriptional convergence of endodermal cells of extra-embryonic and embryonic origins. Finally, we apply our cell-fate maps to estimate the number of embryonic progenitor cells and their degree of asymmetric partitioning during specification. Our approach enables massively parallel, high-resolution recording of lineage and other information in mammalian systems, which will facilitate the construction of a quantitative framework for understanding developmental processes.

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Language(s): eng - English
 Dates: 2019-05-132019-06
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.1038/s41586-019-1184-5
PMID: 31086336
 Degree: -

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Title: Nature
  Abbreviation : Nature
Source Genre: Journal
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Publ. Info: London : Nature Publishing Group
Pages: 6 Volume / Issue: 570 (7759) Sequence Number: - Start / End Page: 77 - 82 Identifier: ISSN: 0028-0836
CoNE: https://pure.mpg.de/cone/journals/resource/954925427238