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CE MALDI-TOF/TOF MS for multiplexed quantification of proteins in human ventricular cerebrospinal fluid.

Journal article
Authors Aida Zuberovic
Magnus Wetterhall
Jörg Hanrieder
Jonas Bergquist
Published in Electrophoresis
Volume 30
Issue 10
Pages 1836-43
ISSN 1522-2683
Publication year 2009
Published at Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry
Pages 1836-43
Language en
Links dx.doi.org/10.1002/elps.200800714
Keywords Brain Injuries, cerebrospinal fluid, Cerebrospinal Fluid Proteins, analysis, Electrophoresis, Capillary, methods, Humans, Peptides, cerebrospinal fluid, Proteomics, methods, Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization, methods
Subject categories Neurochemistry, Analytical Chemistry

Abstract

CE, interfaced off-line to MALDI-TOF/TOF MS, was for the first time used to quantitatively monitor the protein content in complex biological and clinical samples with iTRAQ labeling. The usefulness and advantage of iTRAQ labeling, in combination, with CE MALDI-TOF/TOF MS is demonstrated on mixtures of protein standards and by a case study on human ventricular cerebrospinal fluid samples collected from a patient with traumatic brain injury during patient recovery. Mixtures of five standard proteins were initially analyzed to optimize the experimental conditions for the CE MALDI-MS and MS/MS analysis. The interactions of proteins and peptides with the capillary inner wall during CE separation were minimized using PolyE-323 modified capillaries. The analysis of the ventricular cerebrospinal fluid samples yielded 43 significantly (p < 0.05 MudPIT scoring) identified proteins that could be quantitatively monitored over time. The identified changes in protein levels for several of these proteins are well in line with the reports from previous studies on protein patterns that could be related to the post-traumatic processes of traumatic brain injury. This study shows that the presented approach, combining isobaric tags with CE MALDI-TOF/TOF MS, is a useful choice for quantitative proteomic analysis.

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