Literature DB >> 12758110

Proteomics in brain research: potentials and limitations.

Gert Lubec1, Kurt Krapfenbauer, Michael Fountoulakis.   

Abstract

The advent of proteomics techniques has been enthusiastically accepted in most areas of biology and medicine. In neuroscience, a host of applications was proposed ranging from neurotoxicology, neurometabolism, determination of the proteome of the individual brain areas in health and disease, to name a few. Only recently, the limitations of the method have been shown, hampering the rapid spreading of the technology, which in principle consists of two-dimensional gel electrophoresis with in-gel protein digestion of protein spots and identification by mass-spectrometrical approaches or microsequencing. The identification, including quantification using specific software, of brain protein classes, like enzymes, cytoskeleton proteins, heat shock proteins/chaperones, proteins of the transcription and translation machinery, synaptosomal proteins, antioxidant proteins, is a clear domain of proteomics. Furthermore, the concomitant detection of several hundred proteins on a gel allows the demonstration of an expressional pattern, rather generated by a reliable, protein-chemical method than by immunoreactivity, proposed by protein-arrays. An additional advantage is that hitherto unknown proteins, so far only proposed from their nucleic acid structure, designated as hypothetical proteins, can be identified as brain proteins. As to shortcomings and disadvantages of the method we would point to the major problem, the failure to separate hydrophobic proteins. There is so far no way to analyse the vast majority of these proteins in gels. Several other analytical problems need to be overcome, but once the latter problem can be solved, there is nothing to stop the method for a large scale analysis of membrane proteins in neuroscience.

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Year:  2003        PMID: 12758110     DOI: 10.1016/s0301-0082(03)00036-4

Source DB:  PubMed          Journal:  Prog Neurobiol        ISSN: 0301-0082            Impact factor:   11.685


  22 in total

1.  Assessment of protein expression levels after transient global cerebral ischemia using an antibody microarray analysis.

Authors:  Maria Irene Ayuso; Lidia García-Bonilla; Maria Elena Martín; Matilde Salinas
Journal:  Neurochem Res       Date:  2010-05-11       Impact factor: 3.996

Review 2.  Neurogenetics II: complex disorders.

Authors:  A F Wright
Journal:  J Neurol Neurosurg Psychiatry       Date:  2005-05       Impact factor: 10.154

3.  Molecular diversity of rat brain proteins as revealed by proteomic analysis.

Authors:  Jae-Won Yang; Jean-François Juranville; Harald Höger; Michael Fountoulakis; Gert Lubec
Journal:  Mol Divers       Date:  2005       Impact factor: 2.943

Review 4.  Genetics, transcriptomics, and proteomics of Alzheimer's disease.

Authors:  Andreas Papassotiropoulos; Michael Fountoulakis; Travis Dunckley; Dietrich A Stephan; Eric M Reiman
Journal:  J Clin Psychiatry       Date:  2006-04       Impact factor: 4.384

5.  Mass spectrometry-based proteomics and peptidomics for biomarker discovery in neurodegenerative diseases.

Authors:  Xin Wei; Lingjun Li
Journal:  Int J Clin Exp Pathol       Date:  2008-06-20

6.  Disruption of glutamate receptors at Shank-postsynaptic platform in Alzheimer's disease.

Authors:  Yuesong Gong; Carol F Lippa; Jinghua Zhu; Qishan Lin; Andrea L Rosso
Journal:  Brain Res       Date:  2009-07-25       Impact factor: 3.252

7.  Optimized proteomic analysis of a mouse model of cerebellar dysfunction using amine-specific isobaric tags.

Authors:  Jun Hu; Jin Qian; Oleg Borisov; Sanqiang Pan; Yan Li; Tong Liu; Longwen Deng; Kenneth Wannemacher; Michael Kurnellas; Christa Patterson; Stella Elkabes; Hong Li
Journal:  Proteomics       Date:  2006-08       Impact factor: 3.984

8.  Downregulation of PEBP1 in rat brain cortex in hypoxia.

Authors:  Sandeepta Burgula; Rajesh Medisetty; Nalini Jammulamadaka; Sairam Musturi; Govindan Ilavazhagan; Surya S Singh
Journal:  J Mol Neurosci       Date:  2009-08-25       Impact factor: 3.444

9.  Gel-based mass spectrometric analysis of a strongly hydrophobic GABAA-receptor subunit containing four transmembrane domains.

Authors:  Sung-Ung Kang; Karoline Fuchs; Werner Sieghart; Arnold Pollak; Edina Csaszar; Gert Lubec
Journal:  Nat Protoc       Date:  2009-07-02       Impact factor: 13.491

10.  Proteomic-based identification of maternal proteins in mature mouse oocytes.

Authors:  Ping Zhang; Xiaojian Ni; Ying Guo; Xuejiang Guo; Yufeng Wang; Zuomin Zhou; Ran Huo; Jiahao Sha
Journal:  BMC Genomics       Date:  2009-08-03       Impact factor: 3.969

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