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.

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

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.)

POSPORI (2019)

Polymer Optical Sensors for Prolonged Overseeing the Robustness of civil Infrastructures

Read More  

ACES (2019)

Antarctic Cyclones: Expression in Sea Ice

Read More  

INSPiRE (2018)

The Influence of Information Search on Preference Formation and Choice

Read More