Opendata, web and dolomites

CancerFluxome SIGNED

Cancer Cellular Metabolism across Space and Time

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 CancerFluxome project word cloud

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

spatio    extensively    alterations    tca    dynamics    front    hallmark    fluxomics    averaging    flux    altered    intriguing    subcellular    energetic    selectively    changing    anti    fluxes    drugs    explore    disentangle    demands    mitochondria    combining    clinical    thermodynamic    cellular    glutaminolysis    oncogenic    variability    computational    benefit    biosynthesis    metabolic    oscillations    oxidative    tracing    rapid    central    spatial    fundamentally    adapt    anabolic    view    shuttling    regulated    compartments    evidences    instrumental    limited    cancer    network    preliminary    originating    population    mutations    reductive    artefacts    vs    meet    fulfil    cofactors    synchronization    revisit    quantifying    tumorigenesis    temporal    cycle    accumulating    events    intermediates    bioenergetics    oncogene    spectrometry    fractionation    efficiency    cell    considering    isotope    reveal    endeavour    cytoplasm    mitochondrial    tumorigenic    mass    lack    cells    metabolism   

Project "CancerFluxome" data sheet

The following table provides information about the project.

Coordinator
TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY 

Organization address
address: SENATE BUILDING TECHNION CITY
city: HAIFA
postcode: 32000
website: www.technion.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˙481˙250 €
 EC max contribution 1˙481˙250 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2016-STG
 Funding Scheme ERC-STG
 Starting year 2017
 Duration (year-month-day) from 2017-02-01   to  2022-01-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY IL (HAIFA) coordinator 1˙481˙250.00

Map

 Project objective

The metabolism of cancer cells is altered to meet cellular requirements for growth, providing novel means to selectively target tumorigenesis. While extensively studied, our current view of cancer cellular metabolism is fundamentally limited by lack of information on variability in metabolic activity between distinct subcellular compartments and cells.

We propose to develop a spatio-temporal fluxomics approach for quantifying metabolic fluxes in the cytoplasm vs. mitochondria as well as their cell-cycle dynamics, combining mass-spectrometry based isotope tracing with cell synchronization, rapid cellular fractionation, and computational metabolic network modelling.

Spatio-temporal fluxomics will be used to revisit and challenge our current understanding of central metabolism and its induced adaptation to oncogenic events – an important endeavour considering that mitochondrial bioenergetics and biosynthesis are required for tumorigenesis and accumulating evidences for metabolic alterations throughout the cell-cycle.

Our preliminary results show intriguing oscillations between oxidative and reductive TCA cycle flux throughout the cell-cycle. We will explore the extent to which cells adapt their metabolism to fulfil the changing energetic and anabolic demands throughout the cell-cycle, how metabolic oscillations are regulated, and their benefit to cells in terms of thermodynamic efficiency. Spatial flux analysis will be instrumental for investigating glutaminolysis - a ‘hallmark’ metabolic adaptation in cancer involving shuttling of metabolic intermediates and cofactors between mitochondria and cytoplasm.

On a clinical front, our spatio-temporal fluxomics analysis will enable to disentangle oncogene-induced flux alterations, having an important tumorigenic role, from artefacts originating from population averaging. A comprehensive view of how cells adapt their metabolism due to oncogenic mutations will reveal novel targets for anti-cancer drugs.

 Publications

year authors and title journal last update
List of publications.
2019 Shoval Lagziel, Won Dong Lee, Tomer Shlomi
Studying metabolic flux adaptations in cancer through integrated experimental-computational approaches
published pages: , ISSN: 1741-7007, DOI: 10.1186/s12915-019-0669-x
BMC Biology 17/1 2020-03-05
2017 Eunyong Ahn, Praveen Kumar, Dzmitry Mukha, Amit Tzur, Tomer Shlomi
Temporal fluxomics reveals oscillations in TCA cycle flux throughout the mammalian cell cycle
published pages: 953, ISSN: 1744-4292, DOI: 10.15252/msb.20177763
Molecular Systems Biology 13/11 2019-06-13
2019 Shoval Lagziel, Won Dong Lee, Tomer Shlomi
Inferring cancer dependencies on metabolic genes from large-scale genetic screens
published pages: , ISSN: 1741-7007, DOI: 10.1186/s12915-019-0654-4
BMC Biology 17/1 2019-06-06
2019 Won Dong Lee, Dzmitry Mukha, Elina Aizenshtein, Tomer Shlomi
Spatial-fluxomics provides a subcellular-compartmentalized view of reductive glutamine metabolism in cancer cells
published pages: 1351, ISSN: 2041-1723, DOI: 10.1038/s41467-019-09352-1
Nature Communications 10/1 2019-06-06

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

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

AST (2019)

Automatic System Testing

Read More  

CohoSing (2019)

Cohomology and Singularities

Read More  

QLite (2019)

Quantum Light Enterprise

Read More