Universität Rostock, 2014
Abstract: Using the non-ionic detergent Triton X-114, hydrophobic proteins and possible Alzheimer's disease related amyloid beta 42 oligomer species were extracted from mouse brain tissue. Extracted proteins were identified following SDS PAGE by LC-MS/MS data analysis and characterised based on the relation of grand average hydropathicity index (GRAVY) to extraction phase, cellular location and function. A SEC-MS method was developed with the prospective aim of providing simultaneous detection of multiple oligomeric Abeta 42 species using characteristic charge state distributions.
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