Opendata, web and dolomites

Aggregation selection

Genome-wide screen of aggregation selection

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "Aggregation selection" data sheet

The following table provides information about the project.

Coordinator
UNITED KINGDOM RESEARCH AND INNOVATION 

There are not information about this coordinator. Please contact Fabio for more information, thanks.

 Coordinator Country United Kingdom [UK]
 Total cost 195˙454 €
 EC max contribution 195˙454 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2014
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2015
 Duration (year-month-day) from 2015-08-01   to  2017-07-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNITED KINGDOM RESEARCH AND INNOVATION UK (SWINDON) coordinator 195˙454.00
2    MEDICAL RESEARCH COUNCIL UK (SWINDON) coordinator 0.00

Map

 Project objective

As protein aggregation is associated with numerous neurodegenerative diseases, several groups study the mechanism of aggregation formation and its regulation within the cell. However, besides the association with disease, some aggregates also have a functional purpose, e.g. temporary storage of hormones. This suggests that the outcome on cell fitness is determined by the relative contribution of aggregation formation, and its effect: either loss-of-function or gain-of-function. Previous genome-wide screens already identified important processes to maintain proteome stability, but none of these quantifies the origin of the aggregation effect or considers that aggregation could be beneficial for the cell. Knowledge of how each of these are regulated, is essential to obtain a complete model of the aggregation process. Recently, the host lab developed a unique method, based on a population genetics approach using yeast, that is able to simulate these toxic and beneficial effects triggered by the aggregation process. By exploiting this model using knock-out studies, I will determine the impact of each knock-out on cell fitness, quantify what is contributing to this effect (e.g. gain-of-function) and decipher how the knock-out influences the protein aggregation process. This knowledge will allow us to explore new drug targets in order to control protein aggregation.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "AGGREGATION SELECTION" 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 "AGGREGATION SELECTION" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.3.2.)

AMPLE (2019)

A Study of the Notion of Ampleness in Model Theory and Tits Buildings

Read More  

PopulistFP (2019)

The Populist Politics of Foreign Policy

Read More  

InterTJRPB (2019)

The Interplay between Transitional Justice and Reconciliation in Peacebuilding

Read More