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.

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

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.)

CHIPTRANSFORM (2018)

On-chip optical communication with transformation optics

Read More  

QUAMAP (2019)

Quasiconformal Methods in Analysis and Applications

Read More  

AST (2019)

Automatic System Testing

Read More