Cloud point extraction of proteins and characterisation by liquid chromatography and mass spectrometry Fritz, Ria , 1984- Text theses Text Hochschulschrift 2013 2013 eng electronic resourceremoteComputermedienOnline-Ressourcetext/htmlapplication/pdfOnline-Ressource Ill., graph. Darst. 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. vorgelegt von Ria Fritz Rostock, Univ., Mathematisch-Naturwiss. Fak., Diss., 2014 543.84 543.65 540 35.29 35.26 http://rosdok.uni-rostock.de/resolve?urn=urn:nbn:de:gbv:28-diss2014-0113-4 http://rosdok.uni-rostock.de/resolve?urn=urn:nbn:de:gbv:28-diss2014-0113-4&pdf http://nbn-resolving.de/urn:nbn:de:gbv:28-diss2014-0113-4 Cloud point extraction of proteins and characterisation by liquid chromatography and mass spectrometry--(DE-627)788272039 urn:nbn:de:gbv:28-diss2014-0113-4 oclc: 935563487 ppn: (DE-627)793167361