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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.

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

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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