Opendata, web and dolomites

NextGen RiBiomics

Next Generation Proteomic Analysis of Pre-Ribosomal Proteome Dynamics Coupled to Glucose Metabolism in Caner Cells

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 NextGen RiBiomics project word cloud

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

glucose    combining    expertise    systematic    survival    technological    lines    frequently    software    yeast    silac    integration    searchable    purification    rrna    40s    isolated    intracellular    showing    regulate    space    incorporate    cell    carry    laboratory    cellular    varied    dynamics    consuming    me    respectively    cells    optimise    60s    deprivation    proteome    treatment    ribosome    tumour    first    instrumentation    hela    strategies    methodology    biogenesis    training    grown    quantitative    occurs    proteomics    90s    group    measuring    suppressed    generation    aid    ribi    corresponding    cancer    compare    solid    community    data    proteins    components    time    mcf7    particles    refers    ribosomes    contained    lamond    proceeds    status    eukaryotic    ngp    ribosomal    peptracker    connection    analyze    human    thanks    host    nucleolar    adenocarcinoma    database    isolation    energy    47s    characterised    deregulation   

Project "NextGen RiBiomics" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITY OF DUNDEE 

Organization address
address: Nethergate
city: DUNDEE
postcode: DD1 4HN
website: www.dundee.ac.uk

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 United Kingdom [UK]
 Project website http://www.lamondlab.com/
 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 2016
 Duration (year-month-day) from 2016-04-01   to  2018-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITY OF DUNDEE UK (DUNDEE) coordinator 195˙454.00

Map

 Project objective

The research field of proteomics proceeds rapidly thanks to recent technological advances of instrumentation, methodology, and software development. Next Generation Proteomics (NGP) refers to the integration of these three areas to provide a systematic approach for measuring proteome dynamics in both time and space during various cellular responses. In this proposal, I will analyze pre-ribosomal proteome dynamics in response to intracellular energy status using a NGP approach. Specifically, I will determine how cancer cells regulate Ribosome Biogenesis (RiBi) to aid their survival under conditions of energy deprivation, which frequently occurs in connection with solid tumour development. The host laboratory is well known for developing and applying NGP strategies and will provide me with training and access to all of the equipment and resources required. To carry out this project I will first optimise methods for purification of human pre-ribosomal particles, combining my existing knowledge of RiBi with expertise from the Lamond group in nucleolar isolation. I will then use a quantitative proteomics approach to analyze pre-ribosomes isolated from cells grown under conditions of varied glucose deprivation. I will compare the components of pre-40S, pre-60S and pre-90S particles, respectively, using SILAC and the PepTracker software developed in the Lamond group. This project is based on my recent data showing that 47S pre-rRNA processing, which occurs in pre-90S particles, is suppressed by glucose deprivation in human adenocarcinoma HeLa and MCF7 cell lines. As the proteins contained in human pre-ribosomes are less well characterised than the corresponding yeast proteins, I will incorporate these results in a searchable database of human RiBi factors that will be freely available to the community. As RiBi is the most energy-consuming process in eukaryotic cell the results of this project may lead to novel cancer treatment strategies which target deregulation of RiBi.

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

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

TOPOCIRCUS (2019)

Simulations of Topological Phases in Superconducting Circuits

Read More  

ICARUS (2020)

Information Content of locAlisation: fRom classical to qUantum Systems

Read More  

Mel.Photo.Protect (2019)

Unraveling the Photoprotecting Mechanism of Melanin - From a Library of Fragments to Simulation of Spectra and Function

Read More