Agilent Technologies Announces Collaboration with Florey Institute of Neuroscience and Mental Health

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Agilent Technologies Announces Collaboration with Florey Institute of Neuroscience and Mental Health

13 Nov, 2013

Published over 12 years ago. See the latest and most current information on News.

Agilent Technologies Inc have announced a collaboration with the Florey Institute of Neuroscience and Mental Health that will allow scientists to detect and measure metals at the protein level directly from tissue in neurodegenerative diseases such as motor neuron, Parkinson’s and Alzheimer’s.  

For scientists and researchers, the ability to monitor and measure a set of proteins that have metal-binding capacity (metalloproteins) could lead to significant advances in their understanding of disease mechanisms and normal biological processes. Unlocking the role of metalloproteins will provide a more complete picture of what goes wrong during disease processes. This understanding could create new opportunities to develop therapies that target specific metalloprotein dysfunction.   

“This is an important breakthrough for the scientific community as we push forward for more effective treatments for a range of neurological and psychiatric conditions,” said Dr Blaine Roberts, Senior Research Scientist at the Florey Institute of Neuroscience and Mental Health.

Scientists recognise that a role for metals in neurodegenerative disease exists but have been able to secure very little molecular detail at the protein level for how changes in the levels of metals such as copper, iron or zinc translate to altered cellular function and disease.

  

The Metalloproteomics Laboratory at the Florey specialises in quantitatively determining the changes of metalloproteins directly from biological material using liquid chromatography techniques coupled with the Agilent 7700 ICP-MS (inductively coupled plasma mass spectrometry). These techniques allow scientists to conduct direct comparison of metalloproteins quickly, produce detailed metalloprotein maps and, most important, reveal the range and complexity of metalloproteins that exist in those biological samples.

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