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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.

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

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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