Opendata, web and dolomites


A combined in vitro and in vivo approach to dissect biochemical network evolution.

Total Cost €


EC-Contrib. €






Project "EvoCellBio" data sheet

The following table provides information about the project.


Organization address
address: STEVINWEG 1
city: DELFT
postcode: 2628 CN

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 Netherlands [NL]
 Total cost 1˙500˙000 €
 EC max contribution 1˙500˙000 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2017-STG
 Funding Scheme ERC-STG
 Starting year 2018
 Duration (year-month-day) from 2018-02-01   to  2023-01-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    TECHNISCHE UNIVERSITEIT DELFT NL (DELFT) coordinator 1˙500˙000.00


 Project objective

How do organisms evolve? I propose to study how biochemical networks reorganize during evolution without compromising fitness. This is a complex problem: firstly, it is hard to know if a mutation increased fitness because this depends on the environment it arose in, which is typically unknown. Secondly, it is hard to find out how adaptive mutations improve fitness, because in cells, all biochemical networks are connected. I will reduce the complexity by two approaches, focused on symmetry-breaking in budding yeast, a functionally conserved process, which is the first step for polarity establishment and essential for proliferation. First, I will study how adaptive mutations improve fitness in yeast cells, which are evolved after the deletion of an important symmetry-breaking gene. I will use fluorescent live-cell microscopy of polarisation markers to measure fitness, defined as the rate of symmetry breaking. I will combine my data with a kinetic mathematical model to determine how specific network structures facilitate evolutionary network reorganisation. Second, to test predicted network structures, I will build minimal evolvable networks for symmetry breaking in vitro. In my definition of such a network, all of the components are essential for either fitness or evolvability. I will encapsulate the necessary proteins in emulsion droplets to form a functional evolvable network and use fluorescence microscopy to measure its fitness (the rate of a single protein-spot formation on a droplet membrane) and evolvability (the number of accessible neutral or adaptive mutations in the one-step mutational landscape of the network). Next, I will study how increasing the number of components affects the network’s evolvability and fitness. This research will explain how proteins essential in one species have been lost in closely related species. My expertise with in vitro systems, modelling, biophysics and evolution makes me uniquely qualified for this ambitious project.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "EVOCELLBIO" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email ( and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "EVOCELLBIO" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.1.)

MADEFUN (2019)

Regulation of Brain Macrophage Development and Function

Read More  

DistMaP (2019)

Distributed and Massively Parallel Graph Algorithms

Read More  

H I C I (2020)

Transcriptional and epigenetic control of tissue regenerative HB-EGF in autoimmune CNS inflammation

Read More