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The Tubulin Code: understanding Tubulin structure, function and organisation in the brain

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  • Full or part time
    Prof M Peckham
    Dr D Tomlinson
    Dr C Tiede
  • Application Deadline
    No more applications being accepted
  • Competition Funded PhD Project (European/UK Students Only)
    Competition Funded PhD Project (European/UK Students Only)

Project Description

The brain is full of microtubules. These important structures are essential for directing trafficking of proteins, organelles and RNA from the cell body to the synapses and back again. However, the tubulin isoforms that make up microtubules are diverse, and contain many different types of post-translational modifications (PTMs), the so-called ‘tubulin code’. This large tubulin diversity must be important for neuronal function, but it is unclear why and how. The goal of this project is to use novel tools (small non-antibody binding proteins called ‘Affimers’) that specifically recognise tubulin isoforms and/or PTMs to understand how tubulin diversity contributes to neuronal function. The project will use a range of techniques, from protein expression and purification, to super-resolution microscopy, in vitro imaging assays and Cryo-EM, to investigate the structure of pure tubulin isoforms.

Funding Notes

White Rose BBSRC Doctoral Training Partnership in Mechanistic Biology
4 year fully-funded programme of integrated research and skills training, starting Oct 2019:
• Research Council Stipend
• UK/EU Tuition Fees
• Conference allowance
• Research Costs

At least a 2:1 honours degree or equivalent. We welcome students with backgrounds in biological, chemical or physical sciences, or mathematical backgrounds with an interest in biological questions.
EU candidates require 3 years of UK residency in order to receive full studentship

Not all projects advertised will be funded; the DTP will appoint a limited number of candidates via a competitive process.

How good is research at University of Leeds in Biological Sciences?

FTE Category A staff submitted: 60.90

Research output data provided by the Research Excellence Framework (REF)

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