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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

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 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.

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

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.

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The information about "NEXTGEN RIBIOMICS" are provided by the European Opendata Portal: CORDIS opendata.

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