10.18453/rosdok_id00001361 Fritz, Ria Ria Fritz http://d-nb.info/gnd/1054019487 Universität Rostock 2014 540 Chemistry & allied sciences 2014 en http://purl.uni-rostock.de/rosdok/id00001361 urn:nbn:de:gbv:28-diss2014-0113-4 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.