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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

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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.

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

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

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 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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