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DYNOME SIGNED

Barcoding gene expression dynamics at single-molecule resolution

Total Cost €

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EC-Contrib. €

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Partnership

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 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.

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

Project "DYNOME" data sheet

The following table provides information about the project.

Coordinator
WEIZMANN INSTITUTE OF SCIENCE 

Organization address
address: HERZL STREET 234
city: REHOVOT
postcode: 7610001
website: www.weizmann.ac.il

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

 Partnership

Take a look of project's partnership.

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

Map

 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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