BIOSPEC

How biochemical networks encode biological specificity: Modulation of cell migration by isoform specific ERK and Akt signaling

 Coordinatore UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN 

 Organization address address: BELFIELD
city: DUBLIN
postcode: 4

contact info
Titolo: Ms.
Nome: Lauren
Cognome: Montague
Email: send email
Telefono: +353 1 716 6832
Fax: +353 1 716 6856

 Nazionalità Coordinatore Ireland [IE]
 Totale costo 181˙350 €
 EC contributo 181˙350 €
 Programma FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call FP7-PEOPLE-IIF-2008
 Funding Scheme MC-IIF
 Anno di inizio 2009
 Periodo (anno-mese-giorno) 2009-03-02   -   2011-03-01

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN

 Organization address address: BELFIELD
city: DUBLIN
postcode: 4

contact info
Titolo: Ms.
Nome: Lauren
Cognome: Montague
Email: send email
Telefono: +353 1 716 6832
Fax: +353 1 716 6856

IE (DUBLIN) coordinator 181˙350.77
2    The Beatson Institute for Cancer Research

 Organization address address: "GARSCUBE ESTATE, SWITCHBACK ROAD"
city: GLASGOW
postcode: G61 1BD

contact info
Titolo: Ms.
Nome: Montague
Cognome: Lauren
Email: send email
Telefono: 35317166832
Fax: 35317166856

UK (GLASGOW) participant 0.00

Mappa


 Word cloud

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data    model    biochemical    gradient    spatiotemporal    specificity    akt    migration    modeling    roles    dynamics    erk    encode    isoforms    egf    induced    signaling    cell    biological    networks    list    mechanistic    parts   

 Obiettivo del progetto (Objective)

'Understanding how biochemical signaling networks encode biological specificity is a fundamental challenge for biologists in the 21st century. Genome sequences by providing the “parts list” for such signaling networks, were expected to advance insight. However, it has become clear that to understand specificity analyzing only the “parts list” is not enough; it is the complex orchestration of these parts’s expression, interactions, activation, and deactivation in both space and time that encode biological specificity. Thus, understanding the biological specificity code requires investigating the spatiotemporal dynamics of biochemical signaling networks. This proposal focuses on understanding how the spatiotemporal dynamics of epidermal growth factor (EGF) gradient-induced signaling and associated feedback loops encode a cell’s decision to migrate and invade. A particular focus is on the isoform-specific roles of ERK1, ERK2, Akt1, and Akt2. Traditionally, these protein isoforms have been assumed to have very similar roles in the phenotypic response to EGF signaling. However, our preliminary data show that these isoforms have very distinct, opposing roles for control of EGF gradient-induced cell migration in an aggressively migrating mammalian cell line. To measure, interpret, and understand EGF gradient-induced signaling and the resultant cell migration, we propose using an interdisciplinary, systems biology approach combining modern biochemistry, quantitative mass spectrometry, live-cell imaging, spatially-resolved mechanistic modeling, and empirical data-driven modeling. Model-based experimental design will be the hub that connects modeling with experiments through an iterative model building cycle. As result we hope to gain a mechanistic understanding of how EGF gradient signals are spatially propagated through a cell, coupled with the ability to predict cell migration outcomes based on the spatiotemporal signaling patterns.'

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