Abstract/Details

Mechanical characterisation of bone cells and their glycocalyx

Marcotti, Stefania.   University of Sheffield (United Kingdom) ProQuest Dissertations Publishing,  2017. 13840766.

Abstract (summary)

Mechanotransduction refers to the process by which a cell is able to translate mechanical stimulation into biochemical signals. In bone, mechanotransduction regulates how cells detect environmental stimuli and use these to direct towards bone deposition or resorption. The mechanical properties of bone cells have an impact on the way mechanical stimulation is sensed, however, little evidence is available about how these properties influence mechanotransduction. The aim of the present Thesis was to quantify the mechanical properties of bone cells with a combined experimental and computational approach. Atomic force microscopy was employed to quantify the stiffness of bone cells and their glycocalyx. Changes in cell stiffness during osteocytogenesis were explored. Single molecule force spectroscopy of glycocalyx components was performed to evaluate their anchoring to the cytoskeleton. A single cell finite element model was designed to discern the contributions of sub-cellular components in response to simulated cell nano-indentation. Wide ranges of variation were found for bone cell stiffness and a method was proposed to determine suitable sample sizes to capture population heterogeneity. By targeting single components of the bone glycocalyx, it was possible to hypothesise different mechanotransduction mechanisms depending on the hyaluronic acid attachment to the cytoskeleton. The developed computational framework showed similar results to the nano-indentation experiments and highlighted the role of the actin cytoskeleton in withstanding compression and distributing strain within the cell.

Indexing (details)


Subject
Mechanical properties;
Cytoskeleton
Identifier / keyword
(UMI)AAI13840766; Social sciences
Title
Mechanical characterisation of bone cells and their glycocalyx
Author
Marcotti, Stefania
Number of pages
0
Degree date
2017
School code
0716
Source
DAI-C 77/09, Dissertation Abstracts International
Place of publication
Ann Arbor
Country of publication
United States
University/institution
University of Sheffield (United Kingdom)
University location
England
Degree
Ph.D.
Source type
Dissertation or Thesis
Language
English
Document type
Dissertation/Thesis
Note
Bibliographic data provided by EThOS, the British Library’s UK thesis service: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.736553
Dissertation/thesis number
13840766
ProQuest document ID
2176272123
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Document URL
https://www.proquest.com/docview/2176272123