Opendata, web and dolomites

SILENT SIGNED

Silent mutations in cancer

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 SILENT project word cloud

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

decade    characterization    lab    gene    give    regulation    modes    driver    couple    systematically    silico    fact    transcribed    expression    predicted    regulate    acid    people    our    tumor    sequence    mrnas    genome    assumed    analysed    400    translated    protein    samples    mutated    shown    mrna    amino    data    exert    special    turn    broad    cell    largely    functions    rank    voice    poorly    think    cellular    genetic    visible    innocent    filter    pathogenesis    encode    mechanisms    experimental    ignored    alter    meaningless    synonymous    delineate    bioinformatics    translation    defects    expertise    11    happens    coding    community    wet    methodology    landscape    behavior    transcription    capacity    explored    perform    mutations    dysregulation    despite    contains    efficiency    genes    difficult    first    cancer    proteins    statistics    previously    website    implications    hypothesized    pathogenic    public    thousands    events    underestimated    discover    silent    purpose   

Project "SILENT" data sheet

The following table provides information about the project.

Coordinator
KATHOLIEKE UNIVERSITEIT LEUVEN 

Organization address
address: OUDE MARKT 13
city: LEUVEN
postcode: 3000
website: www.kuleuven.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 1˙999˙977 €
 EC max contribution 1˙999˙977 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2019-COG
 Funding Scheme ERC-COG
 Starting year 2020
 Duration (year-month-day) from 2020-05-01   to  2025-04-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    KATHOLIEKE UNIVERSITEIT LEUVEN BE (LEUVEN) coordinator 1˙999˙977.00

Map

 Project objective

Our genome contains 20 000 genes, which are transcribed into mRNAs. These mRNAs are then in turn translated into proteins that exert the cellular functions. In the past decade, researchers have analysed the genetic sequence of all protein coding genes in thousands of tumor samples, with the aim to identify gene defects (‘mutations’) that cause cancer. In most of these studies, only gene mutations that cause amino acid changes in the proteins for which they encode were analysed, and it was assumed that mutations that do not cause amino acid changes (=synonymous or silent mutations) are innocent and meaningless events in cancer pathogenesis. Despite the fact that synonymous mutations have thus largely been ignored by cancer researchers, there are a couple of synonymous mutations that have been shown to promote cancer. This happens via highly novel and poorly understood mechanisms of gene expression dysregulation that occur at the level of gene transcription to mRNA or at the level of translation of the mRNA into protein. Since the role of synonymous mutations in cancer has not been systematically explored so far, and since there is thus evidence that these mutations are not as ‘silent’ and innocent as many people think, we hypothesized that the pathogenic role of synonymous mutations in cancer is largely underestimated. First, we will delineate the landscape of synonymous driver mutations in cancer. For this purpose, we will develop bioinformatics and statistics approaches to identify relevant synonymous mutations in previously generated sequence data from 11 400 tumor samples. Furthermore, we will apply in silico methods to rank identified mutations and filter out the mutations that are predicted to most efficiently promoting cancer. For 50 of the mutations that are predicted to be pathogenic, we will perform wet lab experimental testing of their capacity to alter gene expression level and to promote cancer cell behavior. Special attention will go to mutations that affect poorly characterized mechanisms to regulate the efficiency of protein translation of the mutated gene, because our lab has a strong expertise in this field. Results from this project may also be relevant for more classical non-synonymous mutations, because the novel modes of gene expression regulation we will discover might also be relevant for such mutations, and the project may thus have broad very implications in the cancer field. Synonymous mutations are currently difficult to find for researchers. We will make these mutations visible via a public website and we will make the methodology we develop in this project available to the research community. This project will thus give silent synonymous mutations a voice through their first comprehensive characterization in cancer.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "SILENT" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.1.1.)

ENUF (2019)

Evaluation of Novel Ultra-Fast selective III-V Epitaxy

Read More  

REAL (2019)

Rights and Egalitarianism

Read More  

Diverge (2019)

Generation of ultra-deep libraries of transcriptional activators for gene therapy

Read More