Literature DB >> 21406261

Characterisation of the variation of mouse brain proteome by two-dimensional electrophoresis.

István Földi1, Géza Müller, Botond Penke, Tamás Janáky.   

Abstract

Neuroproteomics is aimed to study the molecular organisation of the nervous system at the protein level. Two-dimensional electrophoresis is the most frequently used technique in quantitative proteomics. The aim of this study was to assess the experimental and biological variations on this proteomic platform using mouse brain tissue. Mice are the most generally used lab animals for modelling human disease or investigating the effect of a drug-candidate or a treatment. Experimental design plays a crucial role in quantitative proteomics, hence understanding and minimizing the variables is essential. Our results indicate that the technical variance dominantly contributes to the total variance in mouse brain and the genetic background has a negligible effect on the total variation. The results also characterise the anticipated variation using mouse brain for proteomic study hence they should be useful for future experimental design in other proteomics laboratories.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21406261     DOI: 10.1016/j.jprot.2011.03.006

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  3 in total

1.  Proteomic analysis of six- and twelve-month hippocampus and cerebellum in a murine Down syndrome model.

Authors:  Guido N Vacano; David S Gibson; Abdullah Arif Turjoman; Jeremy W Gawryluk; Jonathan D Geiger; Mark Duncan; David Patterson
Journal:  Neurobiol Aging       Date:  2017-11-26       Impact factor: 4.673

2.  A proteome map of primary cultured rat Schwann cells.

Authors:  Mi Shen; Yuhua Ji; Shuqiang Zhang; Haiyan Shi; Gang Chen; Xiaosong Gu; Fei Ding
Journal:  Proteome Sci       Date:  2012-03-23       Impact factor: 2.480

3.  Interindividual variation in the proteome of human peripheral blood mononuclear cells.

Authors:  Evelyne Maes; Bart Landuyt; Inge Mertens; Liliane Schoofs
Journal:  PLoS One       Date:  2013-04-11       Impact factor: 3.240

  3 in total

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