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INHuMAN SIGNED

Intra-tumoral heterogeneity in NRAS-driven metastatic melanoma

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 INHuMAN project word cloud

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

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Project "INHuMAN" 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 166˙320 €
 EC max contribution 166˙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-2018
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2019
 Duration (year-month-day) from 2019-04-01   to  2021-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    VIB VZW BE (ZWIJNAARDE - GENT) coordinator 166˙320.00

Map

 Project objective

Metastasis is largely refractory to therapy and, thereby, responsible for 90% of cancer-related deaths. An incomplete view of the mechanisms that drive metastasis has been a major barrier to rational development of effective therapeutics and prognostic diagnostics for metastatic patients. There is increasing evidence that this multi-step process involves reversible non-genetic reprogramming events allowing cancer cells to acquire diverse phenotypic features needed to migrate, invade, intra/extra-vasate and actively adapt to the varying environment (stress) they encounter. Understanding metastasis therefore requires methodologies that capture the magnitude and dynamics of non-genetic reprogramming in 4D (space and time) at the single-cell resolution. The advent of reliable single-cell multi-Omics analytical tools allows the simultaneous profiling of single cell’s genome, epigenome and transcriptome. Integrating single-cell profiling with lineage tracing provides a robust framework for defining cell fate transitions, intermediate states and trajectory inference. The host lab has recently used such a powerful combination of approaches to study the cellular origin of melanoma, the early molecular events associated with initiation of the disease and to portray cell state dynamics during therapy response. I propose to exploit this know-how to perform a longitudinal and exhaustive analysis of the diversity and trajectories of melanoma cell states during metastatic dissemination using a clinically-relevant mouse model of melanoma, a disease with a very high metastatic propensity. The gene regulatory networks underlying the identified metastatic cell states will be deciphered and the data exploited to develop therapeutic modalities targeting (amenable) drivers of state switching that contribute to early key steps of the metastatic process. The project is expected to lead to new avenues for early detection and interception of metastatic melanoma.

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

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