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Quantitative lineage tracing strategies to resolve multipotency in tissue-specific stem cells

Authors :
Wuidart, Aline
Ousset, Marielle
Rulands, Steffen
Simons, Benjamin D
Van Keymeulen, Alexandra
Blanpain, Cédric
Laboratory of Stem Cells and Cancer, Université Libre de Bruxelles (ULB), Brussels 1070, Belgium.
Max Planck Institute for the Physics of Complex Systems (MPI-PKS)
Max-Planck-Gesellschaft
University of Cambridge [UK] (CAM)
Rulands, Steffen [0000-0001-6398-1553]
Simons, Benjamin [0000-0002-3875-7071]
Apollo - University of Cambridge Repository
Source :
Genes and Development, Genes and Development, Cold Spring Harbor Laboratory Press, 2016, 30 (11), pp.1261-1277. ⟨10.1101/gad.280057.116⟩, Genes & development, 30 (11
Publication Year :
2016
Publisher :
HAL CCSD, 2016.

Abstract

Lineage tracing has become the method of choice to study the fate and dynamics of stem cells (SCs) during development, homeostasis, and regeneration. However, transgenic and knock-in Cre drivers used to perform lineage tracing experiments are often dynamically, temporally, and heterogeneously expressed, leading to the initial labeling of different cell types and thereby complicating their interpretation. Here, we developed two methods: the first one based on statistical analysis of multicolor lineage tracing, allowing the definition of multipotency potential to be achieved with high confidence, and the second one based on lineage tracing at saturation to assess the fate of all SCs within a given lineage and the "flux" of cells between different lineages. Our analysis clearly shows that, whereas the prostate develops from multipotent SCs, only unipotent SCs mediate mammary gland (MG) development and adult tissue remodeling. These methods offer a rigorous framework to assess the lineage relationship and SC fate in different organs and tissues.<br />SCOPUS: ar.j<br />info:eu-repo/semantics/published

Details

Language :
English
ISSN :
08909369
Database :
OpenAIRE
Journal :
Genes and Development, Genes and Development, Cold Spring Harbor Laboratory Press, 2016, 30 (11), pp.1261-1277. ⟨10.1101/gad.280057.116⟩, Genes & development, 30 (11
Accession number :
edsair.doi.dedup.....5602644ae6222d744dc64bede2497b09
Full Text :
https://doi.org/10.1101/gad.280057.116⟩