Publikation: Dissertationsschrift

Cloud point extraction of proteins and characterisation by liquid chromatography and mass spectrometry

Grunddaten
Abstract
Autoren
Einrichtung

Grunddaten

Titel	Cloud point extraction of proteins and characterisation by liquid chromatography and mass spectrometry
Erscheinungsjahr	2013
Publikationsform	Elektronische Ressource
Publikationsart	Dissertationsschrift
Sprache	Englisch
Letzte Änderung	22.08.2014 02:15:27
Bearbeitungsstatus	durch UB Rostock abschließend validiert
Dauerhafte URL	http://purl.uni-rostock.de/fodb/pub/45602
Links zu Katalogen

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.

Autor

Fritz, Ria

Einrichtung

MNF/Institut für Chemie (IfCh)