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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.

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

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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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