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SystGeneEdit SIGNED

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

Total Cost €

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EC-Contrib. €

0

Partnership

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 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.

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

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

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 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.

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

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