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CNWY40140 Emerging Proteomic Technologies

About the course

Designed for students who wish to understand principles, practice and applications of proteomics and critically assess emerging strategies in this rapidly expanding field.

Credits ECTS 5

Dates May 9th - May 31st 2011

Schedule 10 x 3 hour seminars (10am - 1pm)

Module co-ordinator   Dr Giuliano Elia

Venue  UCD Conway Institute lecture theatre

Registration Open - Deadline: April 29th 2011 

Places available 50

Course structure

The module will be delivered in 10 stand-alone blocks, each one composed of 3hr seminar-style sessions (mornings) and 4hr search of literature data and production of written reports (afternoons)

Credit requirements

You will be assessed on the basis of:

  • Mid-course & end course evaluation session: problem-based assessment
  • Relevant literature review and 4-page reports on specified aspects of the module

What does it cover?

  • Introduction and basics of protein biochemistry
  • Gel-based and gel-free separations
  • Mass Spectrometric techniques
  • Post-translational modifications and Interactomics
  • Protein arrays technology
  • Proteomic Bioinformatics
  • Validation techniques
  • Clinical Applications of Proteomics

Why enrol?

On completion, you will be able to:

  • Demonstrate knowledge of protein properties and awareness of techniques for protein separation and purification
  • Have acquired understanding of gel-based and gel-free proteomic approaches
  • Understand the principles of MALDI and ESI
  • Demonstrate knowledge of mass spectrometry and of the different mass analyzers and detectors
  • Demonstrate critical awareness of post-translational modifications of proteins and of methods for their analysis
  • Be familiar with the different techniques to study protein-protein interactions
  • Demonstrate understanding of protein array technology and of the principles of recombinant protein cloning and expression
  • Demonstrate understanding of the theory of mass spectrometry data handling with some of the most common bioinformatic algorithms
  • Demonstrate understanding of a number of validation techniques, both antibody-based and mass spectrometry-based
  • Be able to evaluate and describe the impact of proteomic applications of proteomics analyses to relevant biomedical and clinical set-ups
  • Be able to critically assess the difficulties involved in investigating the different clinical specimens

Next steps