Opendata, web and dolomites

SystGeneEdit SIGNED

Dissecting quantitative traits and their underlying genetic interactions via systematic genome editing

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 SystGeneEdit project word cloud

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

efforts    traits    multiple    variation    variants    throughput    environment    assay    backgrounds    modulate    generate    genes    contributions    roles    naturally    circumvent    systematically    systematic    indels    strains    genomic    date    functional    principles    biological    limited    clear    relevance    engineering    insertion    limitations    single    polymorphisms    rapid    models    subtle    editing    greatest    guiding    diverse    nucleotide    ubiquity    despite    verified    data    species    combine    barcodes    competitive    predictive    interactions    snvs    background    dissect    small    unravelling    unprecedented    overexpression    reveal    crispr    genome    environmental    functionally    strain    tools    fitness    dna    pleiotropic    create    aid    interrogation    diversity    quantitative    contexts    partly    insights    primarily    phenotypes    combined    pairwise    occurring    variations    sequence    cerevisiae    pooled    collection    genomics    screens    cellular    function    deletion    perturbation    isolation    profiling    genetic    human    phenotypic    connected   

Project "SystGeneEdit" data sheet

The following table provides information about the project.

Coordinator
EUROPEAN MOLECULAR BIOLOGY LABORATORY 

Organization address
address: Meyerhofstrasse 1
city: HEIDELBERG
postcode: 69117
website: http://www.embl.de

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 Germany [DE]
 Total cost 2˙499˙995 €
 EC max contribution 2˙499˙995 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2016-ADG
 Funding Scheme ERC-ADG
 Starting year 2017
 Duration (year-month-day) from 2017-11-01   to  2022-10-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    EUROPEAN MOLECULAR BIOLOGY LABORATORY DE (HEIDELBERG) coordinator 2˙499˙995.00

Map

 Project objective

Despite the ubiquity of genome sequence data, unravelling the contributions of genetic variation to phenotypic diversity remains one of the greatest challenges in genomics. This is partly due to our very limited knowledge of how multiple variations combine to create phenotypes. There is a clear need for a systematic, perturbation-based approach to study the phenotypic consequences of genetic variants in different genomic and environmental contexts. Previous efforts have primarily used loss-of-function or overexpression approaches, but it is known that subtle, naturally occurring variants have the most relevance for complex, quantitative traits. Our proposal aims to dissect these effects by systematically engineering and functionally profiling naturally occurring single-nucleotide variants (SNVs) and small insertion/deletion polymorphisms (indels) in the S. cerevisiae species in three diverse genetic backgrounds. To generate such an unprecedented collection, we will apply a high-throughput CRISPR approach that allows rapid isolation of sequence-verified strains. DNA barcodes integrated into the genome of each strain will enable pooled, competitive growth, which will reveal how variants modulate fitness as a function of environment and genetic background. We will test our collection for pairwise and higher order interactions, assay their impact on cellular processes and dissect pleiotropic roles of highly connected genes. Our work will circumvent the key limitations in current high-throughput genome editing screens and enable the largest interrogation of the functional impact of genetic variation in different environmental and genetic contexts to date. The combined insights and tools generated by our work will aid in developing predictive models of the effects of genetic variation within specific environmental and biological contexts, providing guiding principles for understanding the consequences of human genetic variation.

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

MITOvTOXO (2020)

Understanding how mitochondria compete with Toxoplasma for nutrients to defend the host cell

Read More  

REAL (2019)

Rights and Egalitarianism

Read More