Superresolution and correlative microscopy to study cell adhesion on nanopatterned substrates

Lead Research Organisation: University of Glasgow
Department Name: School of Engineering

Abstract

As cells adhere to surfaces, they form focal adhesions which link the cells mechanically to their surroundings but also provide important signalling too. With the invention of superresolution microscopy it has become possible to study the proteins involved in these adhesions at a molecular level. The improvement in detail is typically 10 times with a resolution of about 20 nm. At the same time semiconductor technologies have made it possible to control patterns with a precision similar to the size of the proteins. This opens up the possibilities to potentially manipulate the adhesions at a molecular level. These interactions can be visualised with a combination of superresolution and scanning electron microscopy, known as correlative microscopy. This project will use advanced microscopy and genetically engineered cells to investigate the adhesion formation on a range of nanopatterned surfaces. The aim will be to correlate the formation of the focal adhesions with the design parameters with a view to produce engineered materials for regenerative medicine.

Publications

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Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/N509668/1 01/10/2016 30/09/2021
1804171 Studentship EP/N509668/1 03/10/2016 31/03/2020 Emma Barbour
 
Description The topographies used through out this research have shown to affect how cells adhere and adapt to their environment. During this research we have designed and manufactured a novel substrate using micron sized pillars superimposed with nanopatterned arrays of pits on the pillar top. The results from this work are interesting as the cell lines used have different responses to the topographical (nanopit array) and mechanical (pillar) cues.
Exploitation Route The substrate manufacture could be improved to allow for improved reliability and larger yield. The biological results could be used with a variety of cells types to increase the information collected to ensure reliability.
Sectors Healthcare,Manufacturing, including Industrial Biotechology,Pharmaceuticals and Medical Biotechnology