Coordinatore | QUEEN MARY UNIVERSITY OF LONDON
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Nazionalità Coordinatore | United Kingdom [UK] |
Totale costo | 1˙492˙686 € |
EC contributo | 1˙492˙686 € |
Programma | FP7-IDEAS-ERC
Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) |
Code Call | ERC-2012-StG_20111012 |
Funding Scheme | ERC-SG |
Anno di inizio | 2013 |
Periodo (anno-mese-giorno) | 2013-08-01 - 2018-07-31 |
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1 |
QUEEN MARY UNIVERSITY OF LONDON
Organization address
address: 327 MILE END ROAD contact info |
UK (LONDON) | hostInstitution | 1˙492˙686.00 |
2 |
QUEEN MARY UNIVERSITY OF LONDON
Organization address
address: 327 MILE END ROAD contact info |
UK (LONDON) | hostInstitution | 1˙492˙686.00 |
Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.
'This work proposes the development of novel material and fabrication platforms to generate strong, tunable, and highly biomimetic nanofibrous hydrogel scaffolds with an unparalleled level of control of both signaling and mechanical properties. The break-through element is the combination of elastin-like polymers (ELPs) and self-assembling peptide amphiphiles (PAs) to create nanofibrous hydrogels with an unprecedented combination of strength, tenability, and bioactivity. The proposed work aims to provide solutions to the current main limitations of self-assembling hydrogels. In addition, it describes novel fabrication methods to create unique biomimetic environments. The work is divided into 2 work packages. The first Work Package (WP1) aims to develop two material platforms designed to combine the benefits of ELPs and PAs. The second Work Package (WP2) aims to develop scaffold fabrication platforms with unprecedented complexity and precision exhibiting defined hierarchical features and spatio-temporal control of physical and chemical signals designed for cartilage or disc therapies. All the scaffolds will be validated in vitro using human cells. This is a critical component for the generation of human-based models and more efficient regenerative therapies.'