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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.

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

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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