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ACE-OF-SPACE SIGNED

Analysis, control, and engineering of spatiotemporal pattern formation

Total Cost €

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EC-Contrib. €

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Partnership

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 ACE-OF-SPACE project word cloud

Explore the words cloud of the ACE-OF-SPACE project. It provides you a very rough idea of what is the project "ACE-OF-SPACE" about.

bmp    body    understand    colonies    homogeneous    symmetry    temporally    mechanisms    embryonic    gain    talk    self    optogenetics    synthetic    organ    initially    analyze    identical    systems    quantitative    precursors    interact    first    embryogenesis    molecules    questions    allocation    asymmetric    engineer    organize    opens    risk    independent    biology    regulated    experimentally    signals    stem    organizing    cell    stability    beta    reaction    adult    engineering    mediated    mouse    insights    tissues    form    tissue    indicates    mammalian    space    cells    tgf    sources    orchestrate    begun    break    patterns    superfamily    nodal    modeling    arise    time    bacterial    prior    patterning    plan    mathematical    absence    differentiate    developmental    zebrafish    maternal    strategies    members    combination    underlying    secondary    unclear    suggest    demonstrated    patterned    theoretical    unknown    extra    cross    signal    imaging    previously    thought    central    small    signaling    axes    biophysical    mysterious    vertebrate    axis    minimal    sufficient    opposing    embryos    pattern    asymmetries    diffusion    mechanism    population   

Project "ACE-OF-SPACE" data sheet

The following table provides information about the project.

Coordinator
MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV 

Organization address
address: HOFGARTENSTRASSE 8
city: MUENCHEN
postcode: 80539
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Germany [DE]
 Total cost 1˙997˙750 €
 EC max contribution 1˙997˙750 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2019-COG
 Funding Scheme ERC-COG
 Starting year 2020
 Duration (year-month-day) from 2020-07-01   to  2025-06-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV DE (MUENCHEN) coordinator 1˙997˙750.00

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 Project objective

A central problem in developmental biology is to understand how tissues are patterned in time and space - how do identical cells differentiate to form the adult body plan? Patterns often arise from prior asymmetries in developing embryos, but there is also increasing evidence for self-organizing mechanisms that can break the symmetry of an initially homogeneous cell population. These patterning processes are mediated by a small number of signaling molecules, including the TGF-β superfamily members BMP and Nodal. While we have begun to analyze how biophysical properties such as signal diffusion and stability contribute to axis formation and tissue allocation during vertebrate embryogenesis, three key questions remain. First, how does signaling cross-talk control robust patterning in developing tissues? Opposing sources of Nodal and BMP are sufficient to produce secondary zebrafish axes, but it is unclear how the signals interact to orchestrate this mysterious process. Second, how do signaling systems self-organize to pattern tissues in the absence of prior asymmetries? Recent evidence indicates that axis formation in mammalian embryos is independent of maternal and extra-embryonic tissues, but the mechanism underlying this self-organized patterning is unknown. Third, what are the minimal requirements to engineer synthetic self-organizing systems? Our theoretical analyses suggest that self-organizing reaction-diffusion systems are more common and robust than previously thought, but this has so far not been experimentally demonstrated. We will address these questions in zebrafish embryos, mouse embryonic stem cells, and bacterial colonies using a combination of quantitative imaging, optogenetics, mathematical modeling, and synthetic biology. In addition to providing insights into signaling and development, this high-risk/high-gain approach opens exciting new strategies for tissue engineering by providing asymmetric or temporally regulated signaling in organ precursors.

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