TY - JOUR
T1 - Molecular recording of mammalian embryogenesis
AU - Chan, Michelle M.
AU - Smith, Zachary D.
AU - Grosswendt, Stefanie
AU - Kretzmer, Helene
AU - Norman, Thomas M.
AU - Adamson, Britt
AU - Jost, Marco
AU - Quinn, Jeffrey J.
AU - Yang, Dian
AU - Jones, Matthew G.
AU - Khodaverdian, Alex
AU - Yosef, Nir
AU - Meissner, Alexander
AU - Weissman, Jonathan S.
N1 - Publisher Copyright:
© 2019, The Author(s), under exclusive licence to Springer Nature Limited.
PY - 2019/6/6
Y1 - 2019/6/6
N2 - 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.
AB - 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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U2 - 10.1038/s41586-019-1184-5
DO - 10.1038/s41586-019-1184-5
M3 - Article
C2 - 31086336
AN - SCOPUS:85065790772
SN - 0028-0836
VL - 570
SP - 77
EP - 82
JO - Nature
JF - Nature
IS - 7759
ER -