Literature DB >> 16739225

Neuroproteomics - the tasks lying ahead.

Michael Becker1, Jens Schindler, Hans Gerd Nothwang.   

Abstract

The brain is unquestionably the most fascinating organ. Despite tremendous progress, current knowledge falls short of being able to explain its function. An emerging approach toward improved understanding of the molecular mechanisms underlying brain function is neuroproteomics. Today's neuroscientists have access to a battery of versatile technologies both in transcriptomics and proteomics. The challenge is to choose the right strategy in order to generate new hypotheses on how the brain works. The goal of this review is therefore two-fold: first we recall the bewildering cellular, molecular, and functional complexity in the brain, as this knowledge is fundamental to any study design. In fact, an impressive complexity on the molecular level has recently re-emerged as a central theme in large-scale analyses. Then we review transcriptomics and proteomics technologies, as both are complementary. Finally, we comment on the most widely used proteomics techniques and their respective strengths and drawbacks. We conclude that for the time being, neuroproteomics should focus on its strengths, namely the identification of posttranslational modifications and protein-protein interactions, as well as the characterization of highly purified subproteomes. For global expression profiling, emphasis should be put on further development to significantly increase coverage.

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Year:  2006        PMID: 16739225     DOI: 10.1002/elps.200500892

Source DB:  PubMed          Journal:  Electrophoresis        ISSN: 0173-0835            Impact factor:   3.535


  12 in total

Review 1.  Proteomic studies on the development of the central nervous system and beyond.

Authors:  Chenggang Zhang
Journal:  Neurochem Res       Date:  2010-06-25       Impact factor: 3.996

Review 2.  Recent advances in neuroproteomics.

Authors:  Erika C Andrade; Dilja D Krueger; Angus C Nairn
Journal:  Curr Opin Mol Ther       Date:  2007-06

3.  Intermittent hypercapnic hypoxia induced protein changes in the piglet hippocampus identified by MALDI-TOF-MS.

Authors:  Samantha Tang; Rita Machaalani; Mohammad A Kashem; Izuru Matsumoto; Karen A Waters
Journal:  Neurochem Res       Date:  2009-12       Impact factor: 3.996

Review 4.  Quantitative neuroproteomics: classical and novel tools for studying neural differentiation and function.

Authors:  Luca Colucci-D'Amato; Annarita Farina; Johannes P C Vissers; Angela Chambery
Journal:  Stem Cell Rev Rep       Date:  2011-03       Impact factor: 5.739

Review 5.  Post-genomics nanotechnology is gaining momentum: nanoproteomics and applications in life sciences.

Authors:  Firas H Kobeissy; Basri Gulbakan; Ali Alawieh; Pierre Karam; Zhiqun Zhang; Joy D Guingab-Cagmat; Stefania Mondello; Weihong Tan; John Anagli; Kevin Wang
Journal:  OMICS       Date:  2014-01-10

6.  Variations of brain endothelial nitric oxide synthase concentration in rat and mouse cortex.

Authors:  R Kenneth Czambel; Alexander Kharlamov; Stephen C Jones
Journal:  Nitric Oxide       Date:  2009-12-03       Impact factor: 4.427

7.  Proteome of synaptosome-associated proteins in spinal cord dorsal horn after peripheral nerve injury.

Authors:  Om V Singh; Myron Yaster; Ji-Tian Xu; Yun Guan; Xiaowei Guan; Arun M Dharmarajan; Srinivasa N Raja; Pamela L Zeitlin; Yuan-Xiang Tao
Journal:  Proteomics       Date:  2009-03       Impact factor: 3.984

8.  SNAP25 ameliorates sensory deficit in rats with spinal cord transection.

Authors:  Wei Wang; Fang Wang; Jia Liu; Wei Zhao; Qi Zhao; Mu He; Bao-Jiang Qian; Yang Xu; Ran Liu; Su-Juan Liu; Wei Liu; Jin Liu; Xin-Fu Zhou; Ting-Hua Wang
Journal:  Mol Neurobiol       Date:  2014-02-12       Impact factor: 5.590

9.  Proteomic analysis of endogenous nitrotryptophan-containing proteins in rat hippocampus and cerebellum.

Authors:  Munehiro Uda; Hiroaki Kawasaki; Ayako Shigenaga; Takeshi Baba; Fumiyuki Yamakura
Journal:  Biosci Rep       Date:  2012-12       Impact factor: 3.840

10.  Genes and (common) pathways underlying drug addiction.

Authors:  Chuan-Yun Li; Xizeng Mao; Liping Wei
Journal:  PLoS Comput Biol       Date:  2007-11-20       Impact factor: 4.475

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