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Barcoding gene expression dynamics at single-molecule resolution

Total Cost €


EC-Contrib. €






 DYNOME project word cloud

Explore the words cloud of the DYNOME project. It provides you a very rough idea of what is the project "DYNOME" about.

instances    resolution    parallel    variations    gene    cells    barcoding    heritable    transcription    transparent    organisms    single    invasions    detect    questions    inherently    communicate    dynome    decision    answers    bleach    expression    switch    phenotype    molecule    biology    bursts    lineage    laws    basic    time    sciences    cerevisiae    stochastic    dynamics    cell    steer    monitor    breakthrough    tool    harmful    colour    code    insufficient    decipher    lab    beneficial    generations    bio    pending    platform    population    combines    coli    temporally    subtilis    variability    bacterial    tolerance    protein    kinetics    genes    mrna    statistical    physics    accessible    levels    models    functionalities    tracking    innovative    morse    eukaryotic    individuality    characterise    events    strategy    random    answer    tremendous    bacteria    super    chip    decrypting    rates    bioreactors    biological    resistance    cycle    translation    drug    networks    drugs    resolve    six    impacts    genetic    burst    noise    kinetic    arises    differentiation   

Project "DYNOME" data sheet

The following table provides information about the project.


Organization address
address: HERZL STREET 234
postcode: 7610001

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 Israel [IL]
 Total cost 2˙368˙531 €
 EC max contribution 2˙368˙531 € (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 2020-02-01   to  2025-01-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    WEIZMANN INSTITUTE OF SCIENCE IL (REHOVOT) coordinator 2˙368˙531.00


 Project objective

Gene expression is an inherently stochastic process. Random expression bursts cause tremendous cell-to-cell variations in mRNA and protein levels. The consequences are beneficial in some instances, e.g., in cell differentiation, and harmful in others, e.g., in bacterial drug tolerance. A key interest in biology is therefore to decipher the kinetics that characterise this noise. What is the distribution of transcription rates in a cell population? Are gene expression dynamics heritable? Do gene networks communicate via the ‘Morse code’ of expression burst? Detailed answers to these questions are pending due to insufficient methods to temporally resolve gene expression noise at single-molecule resolution. A ‘transparent cell’ is needed for which transcription and translation kinetics is accessible for many genes in parallel. DYNOME is my answer to this challenge. DYNOME combines (i) a super-resolution detect-and-bleach strategy, (ii) multi-colour barcoding to monitor up to six genes in parallel, (iii) a lineage tracking tool, and (iv), lab-on-a-chip bioreactors to steer growth conditions. Using this innovative bio-dynamics platform, I will monitor gene expression dynamics at the single-molecule level for many genes in single cells at the same time over many generations. My targets for DYNOME are stochastic decision-making events in bacteria and in eukaryotic cells that include (i) a stochastic phenotype switch (B. subtilis), (ii) the development of non-genetic drug resistance (E. coli), and (iii) cell cycle control (S. cerevisiae). The results will reach far beyond these organisms. Decrypting cell-individuality with kinetic models will be a breakthrough both in basic and in applied sciences with impacts on the development of drugs against bacterial invasions, the design of new and useful functionalities in cells, and on our understanding of how biological variability arises from the laws of statistical physics.

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

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