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

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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