Molecular recording of mammalian embryogenesis

被引:249
作者
Chan, Michelle M. [1 ,2 ]
Smith, Zachary D. [3 ,4 ,5 ]
Grosswendt, Stefanie [6 ]
Kretzmer, Helene [6 ]
Norman, Thomas M. [1 ,2 ]
Adamson, Britt [1 ,2 ,13 ]
Jost, Marco [1 ,2 ,7 ]
Quinn, Jeffrey J. [1 ,2 ]
Yang, Dian [1 ,2 ]
Jones, Matthew G. [1 ,2 ,8 ]
Khodaverdian, Alex [9 ,10 ]
Yosef, Nir [9 ,10 ,11 ,12 ]
Meissner, Alexander [3 ,4 ,6 ]
Weissman, Jonathan S. [1 ,2 ]
机构
[1] Univ Calif San Francisco, Dept Cellular & Mol Pharmacol, San Francisco, CA 94143 USA
[2] Univ Calif San Francisco, Howard Hughes Med Inst, San Francisco, CA 94143 USA
[3] Broad Inst MIT & Harvard, Cambridge, MA 02142 USA
[4] Harvard Univ, Dept Stem Cell & Regenerat Biol, Cambridge, MA 02138 USA
[5] Harvard Univ, Dept Mol & Cellular Biol, Cambridge, MA 02138 USA
[6] Max Planck Inst Mol Genet, Dept Genome Regulat, Berlin, Germany
[7] Univ Calif San Francisco, Dept Microbiol & Immunol, San Francisco, CA 94143 USA
[8] Univ Calif San Francisco, Integrat Program Quantitat Biol, San Francisco, CA 94143 USA
[9] Univ Calif Berkeley, Dept Elect Engn & Comp Sci, Berkeley, CA 94720 USA
[10] Univ Calif Berkeley, Ctr Computat Biol, Berkeley, CA 94720 USA
[11] Chan Zuckerberg Biohub, San Francisco, CA USA
[12] Ragon Inst Massachusetts Gen Hosp MIT & Harvard U, Cambridge, MA USA
[13] Princeton Univ, Dept Mol Biol, Lewis Sigler Inst, Princeton, NJ USA
基金
美国国家卫生研究院;
关键词
LINEAGE; CELLS; REVEALS; EXPRESSION; EMBRYO; DNA;
D O I
10.1038/s41586-019-1184-5
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
收藏
页码:77 / +
页数:20
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