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.

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

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.)

Aware (2019)

Aiding Antibiotic Development with Deep Analysis of Resistance Evolution

Read More  

ENUF (2019)

Evaluation of Novel Ultra-Fast selective III-V Epitaxy

Read More  

CARBYNE (2020)

New carbon reactivity rules for molecular editing

Read More