Latest News

  • 25/08/2014
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    Head of Department Professor Kurt Krause is one of the scientists featured in an article on Ebola Virus in the August 23-29 edition of the New Zealand Listener.
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  • 05/08/2014
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    Professor Parry Guilford has been awarded nearly $200,000 from the Breast Cancer Research Fellowship for a two-year project he is leading, titled “Synthetic lethal targeting of lobular breast cancer.
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  • 04/08/2014, Matt Prouse
    Tate Seminar Graphical Abstract Matt Prouse
    This is the latest in a series of reports on seminars given by visiting speakers. Each report is written by one of our fourth year students as the "Communicating Science" component of their course assessment, and includes a graphical abstract, which should tell the whole story in one small diagram.
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  • Event Calendar

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    This calendar shows scheduled speaking events such as seminars and journal clubs. Dates with events scheduled are highlighted in blue, click on one of these to go to a page of event details.

    The small arrows pointing at each week are links to that week's events.

  • Featured publication

    Anne von Zychlinski, Michael Williams, Sally McCormick, and Torsten Kleffmann, Journal of proteomics, 2014

    Counting proteins: Researchers of the Biochemistry Department and Department of Medicine undertook an approach to decipher the exact stoichiometry of individual proteins per lipoprotein particle. They used mass spectrometry-based absolute protein quantification to measure the number of different protein species associated with VLDL (very low density lipoprotein), LDL (low density lipoprotein), Lp(a) [lipoprotein (a)] and HDL (high density lipoprotein) particles. An unfavourable balance between the different plasma lipoproteins is correlated with the development of cardiovascular disease. However, simply the ratio between LDL (bad cholesterol) and HDL (good cholesterol) alone is not a robust predictor for the development of cardiovascular disease. The researchers hypothesise that the stoichiometry of lipoprotein-associated proteins provides further insights into an individual's predisposition for disease such as heart disease or diabetes and may help to identifying new candidate biomarkers to better predict the risk of disease.

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