Thesis Topic Details

Topic ID:
2869
Title:
Bioinformatic analysis of glycosaminoglycan structures.
Supervisor:
John Whitelock
Research Area:
Biomedical Engineering, Bioinformatics, Biochemistry
Associated Staff
Assessor:
Marc Wilkins
Topic Details
Status:
Active
Type:
R & D
Programs:
BIOM BINF
Group Suitable:
No
Industrial:
Yes
Pre-requisites:
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Description:
Growth factors stimulate cell proliferation and differentiation, functions which make them useful in tissue engineering. The attachment of growth factors to tissue is achieved by glycosaminoglycans (GAGs) such as heparan sulfate.
The aim of this project is to map heparan sulfate in tissue engineered cells, and characterise these chains using electrophoresis and mass spectrometry. This project requires the student to utilise existing glycan databases to analyse mass spectroscopy results and develop methods to visualise GAG structures.
Comments:
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Past Student Reports
  Joseph COPTY in s1, 2011
Bioinformatic analysis of glycosaminoglycan structures.
 

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