Opendata, web and dolomites

Cell2Cell SIGNED

What makes a successfull pathogen? Understanding the impact of cell-to-cell heterogeneity in chromatin structure on infection and adaptation

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 Cell2Cell project word cloud

Explore the words cloud of the Cell2Cell project. It provides you a very rough idea of what is the project "Cell2Cell" about.

understand    bioinformatics    lasting    prepared    serve    cancer    unveiling    microbial    yeast    phenotypic    lack    of    genomics    worldwide    millions    unicellular    renders    size    enabled    outcome    cell2cell    technologies    pathogen    successful    chromatin    academia    noise    pathogens    overcome    population    host    caused    limitations    establishing    previously    multicellular    enormous    modern    decades    epigenetic    variability    infectious    infection    experts    structural    decrease    people    proposes    organisms    establishment    elucidation    infections    individual    burden    signal    hypothesized    give    kill    degree    cellular    immune    scientists    revealed    heterogeneity    organization    started    insights    dna    genetic    barriers    developmental    molecular    cell    demands    small    challenged    genome    train    skilled    industry    revolutionize    tools    biology    adapt    single    evade    plays    changing    employ    environments    models    diseases    plasticity    sequence    little    species    mechanisms    endeavor    stage   

Project "Cell2Cell" data sheet

The following table provides information about the project.

Coordinator
LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN 

Organization address
address: GESCHWISTER SCHOLL PLATZ 1
city: MUENCHEN
postcode: 80539
website: www.uni-muenchen.de

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 3˙889˙769 €
 EC max contribution 3˙889˙769 € (100%)
 Programme 1. H2020-EU.1.3.1. (Fostering new skills by means of excellent initial training of researchers)
 Code Call H2020-MSCA-ITN-2019
 Funding Scheme MSCA-ITN-ETN
 Starting year 2019
 Duration (year-month-day) from 2019-11-01   to  2023-10-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN DE (MUENCHEN) coordinator 1˙011˙153.00
2    HELMHOLTZ ZENTRUM MUENCHEN DEUTSCHES FORSCHUNGSZENTRUM FUER GESUNDHEIT UND UMWELT GMBH DE (NEUHERBERG) participant 505˙576.00
3    THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD UK (OXFORD) participant 303˙172.00
4    KAROLINSKA INSTITUTET SE (STOCKHOLM) participant 281˙982.00
5    SCHWEIZERISCHES TROPEN- UND PUBLIC HEALTH-INSTITUT CH (Basel) participant 281˙276.00
6    INSTITUT CURIE FR (PARIS) participant 274˙802.00
7    STICHTING KATHOLIEKE UNIVERSITEIT NL (NIJMEGEN) participant 265˙619.00
8    WEIZMANN INSTITUTE OF SCIENCE IL (REHOVOT) participant 263˙500.00
9    INSTITUTO DE MEDICINA MOLECULAR JOAO LOBO ANTUNES PT (LISBOA) participant 237˙720.00
10    EPIGENETIKS GENETIK BIYOINFORMATIK YAZILIM AS TR (ISTANBUL) participant 235˙248.00
11    CELLSORTER MUSZAKI KUTATO ES FEJLESZTO KFT HU (BUDAPEST) participant 229˙715.00

Map

 Project objective

Infectious diseases kill millions of people worldwide every year. Decades of research have revealed important insights into the molecular mechanisms pathogens employ to establish lasting infections, yet little is known about what renders individual pathogens within a microbial population more successful at establishing an infection than others. Recent advances in single-cell technologies have started to revolutionize modern biology, unveiling an enormous degree of cell-to-cell heterogeneity. Often, phenotypic variability is not caused by genetic changes in the DNA sequence, but by epigenetic changes in the structural organization of DNA called chromatin. In multicellular organisms, this epigenetic plasticity plays a key role in developmental processes and cancer. In unicellular pathogens, cell-to-cell heterogeneity is hypothesized to promote the establishment of infections by allowing the pathogen to adapt to changing environments or evade the host immune response. To decrease the burden of infectious diseases, it is therefore, necessary to better understand how infections are enabled by cellular heterogeneity at the chromatin level of the pathogen. Several limitations have previously challenged this endeavor, including small genome size (i.e. low signal-to-noise) and the lack of knowledge of how chromatin is organized in pathogens. Cell2Cell proposes to overcome these barriers by bringing together (1) experts in pathogen biology; (2) the use of unicellular yeast species to serve as chromatin models; (3) single-cell technologies; (4) bioinformatics tools. Using state of the art technologies, we will train early stage researchers to identify the molecular mechanisms that control cell-to-cell heterogeneity in pathogens. The proposed research will contribute to the elucidation of how heterogeneity affects the outcome of diseases and give rise to highly skilled scientists that are well prepared to face the demands of modern genomics research in academia and industry.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "CELL2CELL" 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 (fabio@fabiodisconzi.com) 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 "CELL2CELL" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.3.1.)

i-CONN (2019)

Interdisciplinary connectivity: Understanding and managing complex systems using connectivity science

Read More  

BIGMATH (2018)

Big Data Challenges for Mathematics

Read More  

synBIOcarb (2018)

Synthetic biology of carbohydrate-binding proteins: engineering protein-carbohydrate interactions for diagnostics and cell targeting

Read More