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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.

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

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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