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EscaPI SIGNED

Exploring the non-genetic (i.e. ePIgenetic) mechanisms that contribute to therapy Escape in melanoma

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 EscaPI project word cloud

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

context    predictive    anticipate    stochastic    experiments    evolution    clinically    background    single    multiplexed    patients    scientist    cells    personal    drug    develops    reprogramming    epigenetic    resistance    models    advantage    qualified    transition    date    tracing    acquisition    staining    achievements    close    versus    alterations    anticancer    lab    pool    underlying    data    epigenomics    ensured    sequencing    cell    search    subpopulation    skills    broaden    jcm    independent    minimal    acquired    tolerance    combination    heterogeneous    drugs    unclear    performing    barcoding    thought    disease    dna    view    biomarkers    tolerant    mainly    manner    mrd    melanoma    indicates    profiles    mechanisms    lineage    technologies    epigenomic    combining    computational    drive    undergo    genetic    involvement    vivo    resolution    residual    collaborations    percentage    phenotypes    omics    absence    clinical    epigenetics    experts    me    dynamic    depletion   

Project "EscaPI" data sheet

The following table provides information about the project.

Coordinator
VIB VZW 

Organization address
address: RIJVISSCHESTRAAT 120
city: ZWIJNAARDE - GENT
postcode: 9052
website: www.vib.be

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 Belgium [BE]
 Total cost 178˙320 €
 EC max contribution 178˙320 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2019
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2020
 Duration (year-month-day) from 2020-04-01   to  2022-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    VIB VZW BE (ZWIJNAARDE - GENT) coordinator 178˙320.00

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 Project objective

Resistance to anticancer drugs, which often develops from a heterogeneous pool of drug-tolerant cells known as minimal residual disease (MRD), is thought to mainly occur through acquisition of genetic alterations. Emerging evidence indicates that drug resistance may also be acquired in absence of a genetic cause. It remains unclear, however, whether genetic versus non-genetic mechanisms of resistance are selected in a stochastic manner, and what are the epigenomics mechanisms underlying the transition from drug-tolerance to resistance. This project aims at identifying the drug-tolerant subpopulation(s) that drive non-genetic resistance by performing lineage tracing and depletion experiments in pre-clinical models. Taking advantage of up-to-date technologies combining in vivo barcoding and single-cell multi-omics approaches, this project aims to provide a dynamic and integrated view of the evolution of epigenomic profiles -at single-cell resolution- before, during and after acquisition of drug resistance phenotypes in a in vivo clinically-relevant context. A third objective of this proposal is to search for predictive biomarkers of non-genetic resistance and to assess the percentage of melanoma patients that undergo non-genetic resistance through combination of multiplexed staining and targeted DNA sequencing. The success of this project is ensured by my personal background in epigenetics and related data computational analysis, the achievements of the JCM lab in melanoma epigenetic reprogramming and the close collaborations with experts in single-cell multi-omics fields. I anticipate that my involvement in this project will broaden my skills and knowledge and help me become a high-qualified European independent scientist.

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The information about "ESCAPI" are provided by the European Opendata Portal: CORDIS opendata.

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