Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/8457
Title: Quantitative analysis of differentially expressed brain proteins in the EAE-model for multiple sclerosis
Authors: DANIELS, Ruth 
VAN SUMMEREN, Anke 
BAETEN, Kurt 
NOBEN, Jean-Paul 
HENDRIKS, Jerome 
STINISSEN, Piet 
ROBBEN, Johan 
Issue Date: 2008
Publisher: ELSEVIER SCIENCE BV
Source: JOURNAL OF NEUROIMMUNOLOGY, 197(2). p. 175-175
Abstract: The aim of this study is the identification of MS-related proteins (and possible candidate-biomarkers) through comparison by DIGE of the protein profiles in the brain stem of EAE animals and healthy controls in different stages of the disease. DIGE simultaneously separates two protein samples and an internal standard in a single two-dimensional gel and requires fluorescent protein labelling. Labelled samples are multiplexed which reduces gel-in-gel-variability. Inclusion of an internal standard (sum of all samples) allows for proven quantitative analysis of protein expression profiles. Using this approach, we analysed "blood-free" brain stems of 12 Lewis-rats (feminine, 7 weeks old), 9 of which were immunised (MBP in combination with CFA) to induce EAE, and 3 of which were controls. Four groups were compared (induction of disease, top, recovery, and control) with 3 biological replicas per condition. Preliminary analysis showed differential proteins over the four conditions. Moreover, different types of expression profiles were observed. An in-depth analysis of the DIGE results in combination with protein identification by mass spectrometry is undertaken. Due to sample collection on different stages after immunization, expression dynamics can be examined in order to bring a better understanding of this disease.
Publication appears at doi: 10.1016/j.jneuroim.2008.04.005
Notes: Transnatl Univ Limburg, Sch Life Sci, Diepenbeek, Belgium. Hasslet Univ, Biomed Res Inst BIOMED, Diepenbeek, Belgium.
Document URI: http://hdl.handle.net/1942/8457
ISSN: 0165-5728
e-ISSN: 1872-8421
ISI #: 000258388700117
Category: M
Type: Journal Contribution
Appears in Collections:Research publications

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