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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. €

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Partnership

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 Outcomes and results

 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.

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

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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