Opendata, web and dolomites

DecodingInfection SIGNED

Decoding the host-pathogen interspecies crosstalk at a multiparametric single-cell level

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 DecodingInfection project word cloud

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

obtain    documented    intracellular    reduce    outcomes    anticipate    macrophages    driving    simultaneously    agents    biology    strategies    cells    heterogeneous    generation    recruitment    trigger    populations    dynamic    multiparametric    overlooking    global    groundwork    predictors    engage    informative    molecular    health    paradigms    lay    stages    accurate    transcriptional    complexity    subpopulations    first    event    emergence    thereby    macrophage    vivo    reconstruct    threat    immune    data    repertoire    disease    salmonella    preliminary    vitro    pathogens    pathogen    rely    readouts    enteric    heterogeneity    outcome    ultimately    critical    cell    mice    interactions    diverse    population    specialized    complete    bulk    necessitating    underlie    colonization    individual    bacteria    adaptable    pathogenesis    fundamentally    shift    bacterial    infection    eventual    encounters    point    single    infectious    prevail    host    stage    description    therapeutic    progression    diversity    details    profile    physiology    characterizing   

Project "DecodingInfection" 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 1˙499˙999 €
 EC max contribution 1˙499˙999 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2017-STG
 Funding Scheme ERC-STG
 Starting year 2017
 Duration (year-month-day) from 2017-10-01   to  2022-09-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    WEIZMANN INSTITUTE OF SCIENCE IL (REHOVOT) coordinator 1˙499˙999.00

Map

Leaflet | Map data © OpenStreetMap contributors, CC-BY-SA, Imagery © Mapbox

 Project objective

Bacterial pathogens remain a significant threat to global health, necessitating a better understanding of host-pathogen biology. While various evidence point to early infection as a key event in the eventual progression to disease, our recent preliminary data show that during this stage, highly adaptable and dynamic host cells and bacteria engage in complex, diverse interactions that contribute to well-documented heterogeneous outcomes of infection. However, current methodologies rely on measurements of bulk populations, thereby overlooking this diversity that can trigger different outcomes. This application focuses on understanding heterogeneity during the first stages of infection in order to reduce the complexity of these interactions into informative readouts of population physiology and predictors of infection outcome. We will apply multiparametric single-cell analysis to obtain an accurate and complete description of infection with the enteric intracellular pathogen Salmonella of macrophages in vitro, and in early stages of mice colonization. We will characterize the molecular details that underlie distinct infection outcomes of individual encounters, to reconstruct the repertoire of host and pathogen strategies that prevail at critical stages of early infection. We propose the following three objectives: (1) Develop methodologies to simultaneously profile host and pathogen transcriptional changes on a single cell level; 2) Characterizing the molecular details that underlie the formation of subpopulations during macrophage infection; and (3) Determine how host and pathogen encounters in vivo result in emergence of specialized subpopulations, recruitment of immune cells and pathogen dissemination. We anticipate that this work will fundamentally shift our paradigms of infectious disease pathogenesis and lay the groundwork for the development of a new generation of therapeutic agents targeting the specific host-pathogen interactions ultimately driving disease.

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

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

EVOCELFATE (2019)

Evolution of cell fate specification modes in spiral cleavage

Read More  

ENTRAPMENT (2019)

Septins: from bacterial entrapment to cellular immunity

Read More  

BALANCE (2019)

Mapping Dispersion Spectroscopically in Large Gas-Phase Molecular Ions

Read More