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ONCOmetENHANCERS SIGNED

Elucidating the Role of Enhancer Methylation Variation in Cancer and Developing Enhancer-based Markers and Targets for Precision Medicine

Total Cost €

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EC-Contrib. €

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Partnership

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 ONCOmetENHANCERS project word cloud

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

elucidate    promoter    mechanisms    therapy    power    unclear    markers    precision    regulatory    coding    decade    prediction    lack    class    methylation    effect    genes    tuning    disease    risk    enhancers    verification    utilizing    mutations    inter    transcriptional    environmental    transform    circuits    genomes    genetic    cancer    causal    levels    predictive    models    basis    glioblastoma    predisposition    expression    genetically    modification    last    manipulate    explore    influenced    sequences    dna    breast    underlying    sites    gene    massive    whereas    enhancer    link    epigenetically    methodology    pave    medical    differences    relationships    methodologically    driver    explained    drug    variations    form    efforts    pairing    sequence    predict    assessing    ultimately    putative    systematic    diagnosis    hypothesis    informative    tumor    progression    discovered    patient    genomic    serve    biopsies    tools    epigenetic   

Project "ONCOmetENHANCERS" data sheet

The following table provides information about the project.

Coordinator
THE HEBREW UNIVERSITY OF JERUSALEM 

Organization address
address: EDMOND J SAFRA CAMPUS GIVAT RAM
city: JERUSALEM
postcode: 91904
website: www.huji.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 2˙000˙000 €
 EC max contribution 2˙000˙000 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2016-COG
 Funding Scheme ERC-COG
 Starting year 2017
 Duration (year-month-day) from 2017-04-01   to  2022-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE HEBREW UNIVERSITY OF JERUSALEM IL (JERUSALEM) coordinator 2˙000˙000.00

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 Project objective

Cancer is a growing medical problem which genetic and environmental basis is not clearly understood. Massive efforts over the last decade have identified differences in cancer gene expression that cannot be explained by coding sequences or promoter variations, whereas the effect of transcriptional enhancers remains unclear due to the lack of an effective way to link enhancers with their controlled genes. Recently, we discovered a class of inter-tumor, inter-patient DNA methylation variations in putative enhancers that predict changes in gene expression levels with much greater power than promoter or sequence analyses. The overall goal of this proposal is to determine if changes in enhancer methylation form part of the genomic basis of cancer. Our aim is to elucidate methylation-influenced disease regulatory circuits that affect cancer driver and risk genes and may ultimately serve as markers for disease progression and drug response. Utilizing a new genomic methodology, which allows systematic prediction and verification of gene-enhancer pairing, I will test the above hypothesis in two disease models: breast cancer and glioblastoma. I will methodologically assess numerous potential enhancers across the disease genomes and explore the effects of genetic and epigenetic mutations and variations at these sites. Informative sites will then be evaluated as markers of gene expression level in tumor biopsies. Ultimately, I will apply novel tools to manipulate selected enhancers genetically and epigenetically, thus investigating the causal relationships between enhancer methylation and gene expression, and assessing the potential for tuning gene expression levels by enhancer methylation modification. This study may transform our understanding of the mechanisms underlying disease predisposition, determine the regulatory circuits of key disease genes, lead to improved diagnosis and predictive abilities, and may pave the way for precision epigenetic therapy.

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