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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.

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

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

Map

 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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