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FAKIR SIGNED

Focal Adhesion Kinetics In nanosurface Recognition

Total Cost €

EC-Contrib. €

Partnership

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Outcomes and
results

FAKIR project word cloud

Explore the words cloud of the FAKIR project. It provides you a very rough idea of what is the project "FAKIR" about.

regulates previously area manner cytoskeletal regenerative length nanoscale tension explored cameras fabricate understand resolution interactions topographies turn scales point map predictable functional function found microscopy units learning phones forces influence appropriate classify mobile biomaterials topographical contact topography precise interaction types substrate correlate migrate depends read though gain discovery focal proteins aided cell adherent medicine adhesions nanofabrication rule nanotopographies machine cells surface provision reverse arrangement materials architectural blueprint recognition first environment structural substrates combining

Project "FAKIR" data sheet

The following table provides information about the project.

Coordinator	UNIVERSITY OF GLASGOW Organization address address: UNIVERSITY AVENUE city: GLASGOW postcode: G12 8QQ website: www.gla.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]
Total cost	2˙128˙895 €
EC max contribution	2˙128˙895 € (100%)
Programme	1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
Code Call	ERC-2014-CoG
Funding Scheme	ERC-COG
Starting year	2015
Duration (year-month-day)	from 2015-08-01 to 2020-07-31

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	UNIVERSITY OF GLASGOW UNIVERSITY OF GLASGOW Organization address address: UNIVERSITY AVENUE city: GLASGOW postcode: G12 8QQ website: www.gla.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.	UK (GLASGOW)	coordinator	2˙128˙895.00

Map

Project objective

The provision of advanced functional materials in the area of regenerative medicine and discovery applications depends on many different factors to provide the appropriate targeted function. As adherent cells also read their environment through substrate interactions there is a great interest in developing such substrates in a predictable manner. Their first point of contact is through their focal adhesions and it is also though them that forces are applied allowing the cell to migrate and establish cytoskeletal tension which in turn regulates cell function. The objective of this project is to investigate the cell-substrate interaction at the nanoscale and correlate that to the surface topography for predictable biomaterials. Through the application of state-of-the-art nanofabrication we will fabricate precise surface topographies with length scales comparable to the structural units found in the focal adhesions. The aim is to map and understand the topographical influence in the architectural arrangement of the proteins in the adhesions. Aided by high resolution microscopy we will classify cell types on different nanotopographies. Combining that information with machine learning, we will be able to gain information about cell characteristics from the rule set. That information can also be used in reverse to identify cell types with the previously defined characteristic. This approach is similar to face recognition seen on cameras and mobile phones. The proposed research project will not only provide insight to an area of biomaterials not previously explored, yet aim to provide a blueprint for future design of biomaterials.

Publications

List of publications.
year	authors and title	journal	last update
2017	Hassan M. Rostam, Paul M. Reynolds, Morgan R. Alexander, Nikolaj Gadegaard, Amir M. Ghaemmaghami Image based Machine Learning for identification of macrophage subsets published pages: , ISSN: 2045-2322, DOI: 10.1038/s41598-017-03780-z	Scientific Reports 7/1	2019-09-02
2016	E. Huethorst, M. Hortigon, V. Zamora-Rodriguez, P. M. Reynolds, F. Burton, G. Smith, N. Gadegaard Enhanced Human-Induced Pluripotent Stem Cell Derived Cardiomyocyte Maturation Using a Dual Microgradient Substrate published pages: 2231-2239, ISSN: 2373-9878, DOI: 10.1021/acsbiomaterials.6b00426	ACS Biomaterials Science & Engineering 2/12	2019-09-02
2016	John M. Stormonth-Darling, Anwer Saeed, Paul M. Reynolds, Nikolaj Gadegaard Injection Molding Micro- and Nanostructures in Thermoplastic Elastomers published pages: 964-971, ISSN: 1438-7492, DOI: 10.1002/mame.201600011	Macromolecular Materials and Engineering 301/8	2019-09-02

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