Objective
Tumor development emerges from an accumulation of somatic alterations that together enable malignant growth. These alterations are immensely diverse and the fate of a cell acquiring an alteration may depend on other alterations already present. Despite our progress in mapping the cancer genetic landscape and an expanding catalogue of cancer genes, a need arises to establish how alterations in cancer genes interact to transform healthy cells into cancer cells. Many fundamental questions regarding genomic interactions remain open. For example, we do not know which proteins make up signaling pathway hubs and in which genetic contexts, how genetic alterations interact functionally, how cancer genetic alterations influence the interaction with T cells and how these affect patient response to therapy. The recent growth in the number of genomics data sets gives rise to a parallel increase in statistical power to detect more complex associations allowing robust analyses of complex interrelated genomic networks. In this proposal we suggest to employ our expertise and unique toolsets, to shed new light on the complex interrelated networks formed in melanoma. We propose to combine state-of-the art high content tools with mechanistic studies to discover the structure of signaling-hub organization in melanoma (Aim 1), functionally characterize the complex genetic interactions within the melanoma genome using genome engineering approaches (Aim 2), and to decipher the immuno-genetic interactions between melanoma and T cells (Aim 3). Importantly, we will try to bridge the knowledge gap in deciphering melanoma-specific gene interactions, protein interactions and interactions with T cells by creating new tools and experimental models. Our findings should make an important step towards an unprecedented, thorough and multifaceted understanding of melanoma biology. More broadly, we believe these approaches provide a paradigm for addressing similarly complex questions in other cancers.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- medical and health sciences clinical medicine oncology skin cancer melanoma
- natural sciences biological sciences biochemistry biomolecules proteins
- natural sciences biological sciences genetics genomes
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
ERC-COG - Consolidator Grant
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2017-COG
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
7610001 Rehovot
Israel
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.