Rxivist logo

Rxivist combines preprints from bioRxiv with data from Twitter to help you find the papers being discussed in your field. Currently indexing 65,351 bioRxiv papers from 289,483 authors.

Molecular recording of mammalian embryogenesis

By Michelle M. Chan, Zachary D Smith, Stefanie Grosswendt, Helene Kretzmer, Thomas Norman, Britt Adamson, Marco Jost, Jeffrey J Quinn, Dian Yang, Alexander Meissner, Jonathan S Weissman

Posted 03 Aug 2018
bioRxiv DOI: 10.1101/384925 (published DOI: 10.1038/s41586-019-1184-5)

Understanding the emergence of complex multicellular organisms from single totipotent cells, or ontogenesis, represents a foundational question in biology. The study of mammalian development is particularly challenging due to the difficulty of monitoring embryos in utero, the variability of progenitor field sizes, and the indeterminate relationship between the generation of uncommitted progenitors and their progression to subsequent stages. Here, we present a flexible, high information, multi-channel molecular recorder with a single cell (sc) readout and apply it as an evolving lineage tracer to define a mouse cell fate map from fertilization through gastrulation. By combining lineage information with scRNA-seq profiles, we recapitulate canonical developmental relationships between different tissue types and reveal an unexpected transcriptional convergence of endodermal cells from extra-embryonic and embryonic origins, illustrating how lineage information complements scRNA-seq to define cell types. Finally, we apply our cell fate map to estimate the number of embryonic progenitor cells and the degree of asymmetric partitioning within the pluripotent epiblast during specification. Our approach enables massively parallel, high-resolution recording of lineage and other information in mammalian systems to facilitate a quantitative framework for describing developmental processes.

Download data

  • Downloaded 4,075 times
  • Download rankings, all-time:
    • Site-wide: 641 out of 65,351
    • In developmental biology: 10 out of 1,935
  • Year to date:
    • Site-wide: 751 out of 65,351
  • Since beginning of last month:
    • Site-wide: 3,522 out of 65,351

Altmetric data


Downloads over time

Distribution of downloads per paper, site-wide


Sign up for the Rxivist weekly newsletter! (Click here for more details.)


News