Opendata, web and dolomites

RhabdoEvo SIGNED

Deciphering the cellular origin and evolution of malignant rhabdoid tumors

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "RhabdoEvo" data sheet

The following table provides information about the project.

Coordinator
PRINSES MAXIMA CENTRUM VOOR KINDERONCOLOGIE BV 

Organization address
address: HEIDELBERGLAAN 25
city: UTRECHT
postcode: 3584CS
website: www.prinsesmaximacentrum.nl

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 Netherlands [NL]
 Total cost 1˙500˙000 €
 EC max contribution 1˙500˙000 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2019-STG
 Funding Scheme ERC-STG
 Starting year 2019
 Duration (year-month-day) from 2019-12-01   to  2024-11-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    PRINSES MAXIMA CENTRUM VOOR KINDERONCOLOGIE BV NL (UTRECHT) coordinator 1˙500˙000.00

Map

 Project objective

Introduction How tumors adapt to changing environmental conditions and treatment is a major unsolved problem frustrating effective therapy. Rhabdoid tumors are highly aggressive pediatric tumors with a low survival rate. They occur in multiple tissues, including brain and kidney, and likely originate as a consequence of aberrant differentiation during development. Understanding the origin of rhabdoid tumors and the relationship with normal development is crucial for investigating new treatment options. The almost certain appearance of therapy resistance, low mutation burden, and recent epigenetic profiling suggest the existence of epigenetic heterogeneity within rhabdoid tumors. We hypothesize that epigenetic heterogeneity within rhabdoid tumors underlies their aggressive behavior. Goal I previously exploited organoid models and CRISPR technology to study colorectal cancer progression. My lab now developed a protocol to, for the first time, efficiently grow rhabdoid tumor organoids from patient tissue. We are in the unique position to identify the cellular origin of rhabdoid tumors and the key molecular mechanisms driving disease progression and therapy resistance. Approach We will I) apply single-cell epigenomic and transcriptomic analyses on tumor tissue for in-depth characterization of the cellular identity and heterogeneity within rhabdoid tumors II) combine our unique rhabdoid tumor organoids with genetic lineage tracing technology to reveal clonal dynamics in rhabdoid tumor progression and therapy resistance III) perform retrospective lineage tracing using somatic mutations to track down the cell-of-origin of rhabdoid tumors. Innovation Our integrative use of state-of-the-art technologies on unique patient-derived tissue and tumor organoids will provide comprehensive insights into the origin, heterogeneity and progression of rhabdoid tumors. This will also establish novel approaches for other cancer research as well as new concepts for improving therapy.

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

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

FatVirtualBiopsy (2020)

MRI toolkit for in vivo fat virtual biopsy

Read More  

MITOvTOXO (2020)

Understanding how mitochondria compete with Toxoplasma for nutrients to defend the host cell

Read More  

TransTempoFold (2019)

A need for speed: mechanisms to coordinate protein synthesis and folding in metazoans

Read More