INTEGRAGEING

Modelling human ageing: developing and interrogating an integrated model of ageing to identify causal relationships between hormonal changes and gene expression changes

 Coordinatore THE UNIVERSITY OF LIVERPOOL 

 Organization address address: Brownlow Hill, Foundation Building 765
city: LIVERPOOL
postcode: L69 7ZX

contact info
Titolo: Ms.
Nome: Catherine
Cognome: Cowton
Email: send email
Telefono: +44151 794 4688

 Nazionalità Coordinatore United Kingdom [UK]
 Totale costo 200˙371 €
 EC contributo 200˙371 €
 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-2011-IEF
 Funding Scheme MC-IEF
 Anno di inizio 2012
 Periodo (anno-mese-giorno) 2012-11-15   -   2014-11-14

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    THE UNIVERSITY OF LIVERPOOL

 Organization address address: Brownlow Hill, Foundation Building 765
city: LIVERPOOL
postcode: L69 7ZX

contact info
Titolo: Ms.
Nome: Catherine
Cognome: Cowton
Email: send email
Telefono: +44151 794 4688

UK (LIVERPOOL) coordinator 200˙371.80

Mappa

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 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

relationships    ageing    related    mechanisms    expression    hormonal    causal    gene    model    age   

 Obiettivo del progetto (Objective)

'Ageing has a profound impact on human society and modern medicine, yet it remains a major puzzle of biology. Both hormonal and gene expression changes have been implicated as causal mechanisms of ageing. It is not clear, however, which molecular or physiological changes are more important drivers of the process of ageing or how they influence each other. This project aims to develop and interrogate an integrated model of ageing to identify causal relationships between age-related changes at different biological levels. Specifically, this project aims to: 1) Build a mathematical model of age-related gene expression and hormonal changes with age; 2) Determine the causal relationship between these age-related changes using in silico analyses. 3) Develop a new model of ageing based on the results obtained to highlight the new causal relationships identified.'

Introduzione (Teaser)

EU funding has enabled researchers to investigate the causal mechanisms of ageing to prevent or resolve age-related disorders

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