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Measuring and modeling single-cell heterogeneity and fate decision in mouse embryos.

Annu. Rev. Genet. 54, 167-187 (2020)
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Cellular heterogeneity is a property of any living system; however, its relationship with cellular fate decision remains an open question. Recent technological advances have enabled valuable insights, especially in complex systems such as the mouse embryo. In this review, we discuss recent studies that characterize cellular heterogeneity at different levels during mouse development, from the two-cell stage up to gastrulation. In addition to key experimental findings, we review mathematical modeling approaches that help researchers interpret these findings. Disentangling the role of heterogeneity in cell fate decision will likely rely on the refined integration of experiments, large-scale omics data, and mathematical modeling, complemented by the use of synthetic embryos and gastruloids as promising in vitro models.
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Publication type Article: Journal article
Document type Review
Keywords Cell Fate Decision ; Heterogeneity ; Modeling ; Mouse Embryo ; Single Cell; Primitive Endoderm; Gene-expression; Lineage Segregation; Stem-cells; Epiblast; Differentiation; Specification; Pluripotency; Nanog; Mass
Language english
Publication Year 2020
HGF-reported in Year 2020
ISSN (print) / ISBN 0066-4197
e-ISSN 1545-2948
Quellenangaben Volume: 54, Issue: , Pages: 167-187 Article Number: , Supplement: ,
Publisher Annual Reviews
Publishing Place 4139 El Camino Way, Po Box 10139, Palo Alto, Ca 94303-0897 Usa
Reviewing status Peer reviewed
POF-Topic(s) 30204 - Cell Programming and Repair
30205 - Bioengineering and Digital Health
30203 - Molecular Targets and Therapies
Research field(s) Stem Cell and Neuroscience
Enabling and Novel Technologies
Helmholtz Diabetes Center
PSP Element(s) G-506290-001
G-506200-001
G-503800-001
G-502890-001
Grants H2020 Marie Sklodowska-Curie Actions Initial Training Networks (ITN) EpiSyStem and ChromDesign
German Research Council
Helmholtz Association
Joachim Herz Stiftung Add-on Fellowship for Interdisciplinary Life Science
Scopus ID 85096815568
PubMed ID 32867543
Erfassungsdatum 2020-12-20