Synchronization of endothelial Dll4-Notch dynamics switch blood vessels from branching to expansion

  1. Benedetta Ubezio
  2. Raquel Agudo Blanco
  3. Ilse Geudens
  4. Fabio Stanchi
  5. Thomas Mathivet
  6. Martin L Jones
  7. Anan Ragab
  8. Katie Bentley
  9. Holger Gerhardt  Is a corresponding author
  1. London Research Institute, United Kingdom
  2. Vesalius Research Center, VIB, Belgium
  3. Harvard Medical School, United States

Abstract

Formation of a regularly branched blood vessel network is crucial in development and physiology. Here we show that the expression of the Notch ligand Dll4 fluctuates in individual endothelial cells within sprouting vessels in the mouse retina in vivo and in correlation with dynamic cell movement in mouse embryonic stem cell-derived sprouting assays. We also find that sprout elongation and branching associates with a highly differential phase pattern of Dll4 between endothelial cells. Stimulation with pathologically high levels of Vegf, or overexpression of Dll4, leads to Notch dependent synchronization of Dll4 fluctuations within clusters, both in vitro and in vivo. Our results demonstrate that the Vegf-Dll4/Notch feedback system normally operates to generate heterogeneity between endothelial cells driving branching, whilst synchronization drives vessel expansion. We propose that this sensitive phase transition in the behaviour of the Vegf-Dll4/Notch feedback loop underlies the morphogen function of Vegfa in vascular patterning.

Article and author information

Author details

  1. Benedetta Ubezio

    Vascular Biology Laboratory, London Research Institute, London, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  2. Raquel Agudo Blanco

    Vascular Biology Laboratory, London Research Institute, London, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  3. Ilse Geudens

    Vascular Patterning Laboratory, Vesalius Research Center, VIB, Leuven, Belgium
    Competing interests
    The authors declare that no competing interests exist.
  4. Fabio Stanchi

    Vascular Patterning Laboratory, Vesalius Research Center, VIB, Leuven, Belgium
    Competing interests
    The authors declare that no competing interests exist.
  5. Thomas Mathivet

    Vascular Patterning Laboratory, Vesalius Research Center, VIB, Leuven, Belgium
    Competing interests
    The authors declare that no competing interests exist.
  6. Martin L Jones

    Vascular Biology Laboratory, London Research Institute, London, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  7. Anan Ragab

    Vascular Biology Laboratory, London Research Institute, London, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  8. Katie Bentley

    Computational Biology Laboratory, Center for Vascular Biology Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, United States
    Competing interests
    The authors declare that no competing interests exist.
  9. Holger Gerhardt

    Vascular Biology Laboratory, London Research Institute, London, United Kingdom
    For correspondence
    holger.gerhardt@mdc-berlin.de
    Competing interests
    The authors declare that no competing interests exist.

Reviewing Editor

  1. Tanya T Whitfield, University of Sheffield, United Kingdom

Ethics

Animal experimentation: Mice were maintained at London Research Institute under standard husbandry conditions. All protocols were approved by the UK Home Office (P80/2391). Glioblastoma studies were performed at the Vesalius Research Center, VIB, KU Leuven where housing and all experimental animal procedures were performed in accordance with Belgian law on animal care and were approved by the Institutional Animal Care and Research Advisory Committee of the K. U. Leuven (P105/2012).

Version history

  1. Received: October 7, 2015
  2. Accepted: April 11, 2016
  3. Accepted Manuscript published: April 13, 2016 (version 1)
  4. Version of Record published: June 6, 2016 (version 2)
  5. Version of Record updated: May 9, 2017 (version 3)

Copyright

© 2016, Ubezio et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 4,749
    views
  • 1,280
    downloads
  • 100
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Benedetta Ubezio
  2. Raquel Agudo Blanco
  3. Ilse Geudens
  4. Fabio Stanchi
  5. Thomas Mathivet
  6. Martin L Jones
  7. Anan Ragab
  8. Katie Bentley
  9. Holger Gerhardt
(2016)
Synchronization of endothelial Dll4-Notch dynamics switch blood vessels from branching to expansion
eLife 5:e12167.
https://doi.org/10.7554/eLife.12167

Share this article

https://doi.org/10.7554/eLife.12167

Further reading

    1. Computational and Systems Biology
    David Geller-McGrath, Kishori M Konwar ... Jason E McDermott
    Tools and Resources

    The reconstruction of complete microbial metabolic pathways using ‘omics data from environmental samples remains challenging. Computational pipelines for pathway reconstruction that utilize machine learning methods to predict the presence or absence of KEGG modules in incomplete genomes are lacking. Here, we present MetaPathPredict, a software tool that incorporates machine learning models to predict the presence of complete KEGG modules within bacterial genomic datasets. Using gene annotation data and information from the KEGG module database, MetaPathPredict employs deep learning models to predict the presence of KEGG modules in a genome. MetaPathPredict can be used as a command line tool or as a Python module, and both options are designed to be run locally or on a compute cluster. Benchmarks show that MetaPathPredict makes robust predictions of KEGG module presence within highly incomplete genomes.

    1. Computational and Systems Biology
    2. Evolutionary Biology
    Kenya Hitomi, Yoichiro Ishii, Bei-Wen Ying
    Research Article

    As the genome encodes the information crucial for cell growth, a sizeable genomic deficiency often causes a significant decrease in growth fitness. Whether and how the decreased growth fitness caused by genome reduction could be compensated by evolution was investigated here. Experimental evolution with an Escherichia coli strain carrying a reduced genome was conducted in multiple lineages for approximately 1000 generations. The growth rate, which largely declined due to genome reduction, was considerably recovered, associated with the improved carrying capacity. Genome mutations accumulated during evolution were significantly varied across the evolutionary lineages and were randomly localized on the reduced genome. Transcriptome reorganization showed a common evolutionary direction and conserved the chromosomal periodicity, regardless of highly diversified gene categories, regulons, and pathways enriched in the differentially expressed genes. Genome mutations and transcriptome reorganization caused by evolution, which were found to be dissimilar to those caused by genome reduction, must have followed divergent mechanisms in individual evolutionary lineages. Gene network reconstruction successfully identified three gene modules functionally differentiated, which were responsible for the evolutionary changes of the reduced genome in growth fitness, genome mutation, and gene expression, respectively. The diversity in evolutionary approaches improved the growth fitness associated with the homeostatic transcriptome architecture as if the evolutionary compensation for genome reduction was like all roads leading to Rome.