Opendata, web and dolomites

MATRICAN SIGNED

Matrix during cancer progression

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 MATRICAN project word cloud

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

proteomics    translated    critical    components    breaking    patients    drive    marked    subsequent    deaths    transgenic    clinic    global    organs    interactions    alterations    relevance    tumours    repopulation    stages    decrease    spatio    pancreatic    cells    metastatic    combat    structural    leaving    orthotopic    decellularise    mapping    ms    regulates    extracellular    human    tumour    mouse    fundamental    pathological    structurally    quantitative    90    patient    responsible    breast    benefit    cellular    cell    validate    metastasis    erc    lines    discovered    fibrillogenesis    progression    samples    structure    situ    perturbation    strategies    tissue    repopulated    biochemical    models    3d    bearing    disease    normal    stiffness    cancer    play    live    validation    intact    ecm    proteins    spectrometry    ground    mass    impacts    lab    upregulated    mice    driving    primary    functional    composition    imaging    evolution    lack    scaffolds    matrix   

Project "MATRICAN" data sheet

The following table provides information about the project.

Coordinator
KOBENHAVNS UNIVERSITET 

Organization address
address: NORREGADE 10
city: KOBENHAVN
postcode: 1165
website: www.ku.dk

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 Denmark [DK]
 Project website https://erlerlab.com/matrican/
 Total cost 1˙997˙500 €
 EC max contribution 1˙997˙500 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2015-CoG
 Funding Scheme ERC-COG
 Starting year 2016
 Duration (year-month-day) from 2016-09-01   to  2021-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    KOBENHAVNS UNIVERSITET DK (KOBENHAVN) coordinator 1˙997˙500.00

Map

 Project objective

The extracellular matrix (ECM) is known to play a critical role in driving cancer progression, and yet we lack knowledge of its composition and structure. The goal of my ERC project is to investigate how alterations in biochemical composition and structural properties of the ECM during cancer progression impact on cell behaviour to drive metastasis, which is responsible for over 90% of cancer patient deaths. In order to do this, my lab has developed a method to in situ decellularise organs leaving structurally intact ECM scaffolds for subsequent analysis or for repopulation to study cell-ECM interactions in situ. We have deployed our method to decellularise primary tumour and metastatic organs in mice bearing orthotopic breast cancer tumours for subsequent quantitative global mass spectrometry (MS) proteomics, spatio-structural mapping of ECM components in 3D, and live imaging of repopulated cells. We observed fundamental alterations in ECM composition and structure between normal and tumour, and primary and metastatic tissue. We have selected two ECM components specifically upregulated in metastatic organs for subsequent validation. We discovered a marked decrease in proteins associated with fibrillogenesis in metastatic organs and will investigate the impact of this on metastatic ECM stiffness. We will decellularise organs from transgenic mouse models of breast and pancreatic cancer, at specific stages during cancer progression to determine the evolution of global ECM composition and structure, and how this impacts on cell behaviour through functional perturbation. Finally, we shall validate relevance of findings to human disease through use of human cancer lines and analysis of human patient samples. The research proposed will provide ground-breaking insight into how the ECM regulates cellular behaviour during normal and pathological conditions, and will test new strategies to combat metastasis that could be translated into the clinic to benefit cancer patients.

 Publications

year authors and title journal last update
List of publications.
2019 Alejandro E Mayorca-Guiliani, Oliver Willacy, Chris D. Madsen, Maria Rafaeva, Stefanie Elisabeth Heumüller, Felix Bock, Gerhard Sengle, Manuel Koch, Thomas Imhof, Frank Zaucke, Raimund Wagener, Takako Sasaki, Janine T. Erler, Raphael Reuten
Decellularization and antibody staining of mouse tissues to map native extracellular matrix structures in 3D
published pages: , ISSN: 1754-2189, DOI: 10.1038/s41596-019-0225-8
Nature Protocols 2019-11-14
2019 Ulrich Blache, Edward R Horton, Tian Xia, Erwin M Schoof, Lene H Blicher, Angelina Schönenberger, Jess G Snedeker, Ivan Martin, Janine T Erler, Martin Ehrbar
Mesenchymal stromal cell activation by breast cancer secretomes in bioengineered 3D microenvironments
published pages: e201900304, ISSN: 2575-1077, DOI: 10.26508/lsa.201900304
Life Science Alliance 2/3 2019-08-06

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

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

HyperCube (2020)

HyperCube: Gram scale production of ferrite nanocubes and thermo-responsive polymer coated nanocubes for medical applications and further exploitation in other hyperthermia fields

Read More  

RESOURCE Q (2019)

Efficient Conversion of Quantum Information Resources

Read More  

SoftHandler (2019)

Commercial feasibility of an integrated soft robotic system for industrial handling

Read More