Literature DB >> 17027691

Methods for proteomics in neuroscience.

Nilesh S Tannu1, Scott E Hemby.   

Abstract

Proteomics reveals complex protein expression, function, interactions and localization in different phenotypes of neuron. As proteomics, regarded as a highly complex screening technology, moves from a theoretical approach to practical reality, neuroscientists have to determine the most-appropriate applications for this technology. Even though proteomics compliments genomics, it is in sheer contrast to the basically constant genome due to its dynamic nature. Neuroscientists have to surmount difficulties particular to the research in neuroscience; such as limited sample amounts, heterogeneous cellular compositions in samples and the fact that many proteins of interest are hydrophobic proteins. The necessity of exclusive technology, sophisticated software and skilled manpower tops the challenge. This review examines subcellular organelle isolation, protein fractionation and separation using two-dimensional gel electrophoresis (2-DGE) as well as multi-dimensional liquid chromatography (LC) followed by mass spectrometry (MS). The methods for quantifying relative gene product expression between samples (e.g., two-dimensional difference in gel electrophoresis (2D-DIGE), isotope-coded affinity tag (ICAT) and iTRAQ) are elaborated. An overview of the techniques used currently to assign post-translational modification status on a proteomics scale is also evaluated. The feasible coverage of the proteome, ability to detect unique cell components such as post-synaptic densities and membrane proteins, resource requirements and quantitative as well as qualitative reliability of different approaches is also discussed. While there are many challenges in neuroproteomics, this field promises many returns in the future.

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Year:  2006        PMID: 17027691     DOI: 10.1016/S0079-6123(06)58003-3

Source DB:  PubMed          Journal:  Prog Brain Res        ISSN: 0079-6123            Impact factor:   2.453


  22 in total

1.  Identification of CSPα clients reveals a role in dynamin 1 regulation.

Authors:  Yong-Quan Zhang; Michael X Henderson; Christopher M Colangelo; Stephen D Ginsberg; Can Bruce; Terence Wu; Sreeganga S Chandra
Journal:  Neuron       Date:  2012-04-12       Impact factor: 17.173

Review 2.  Proteomic analysis of the presynaptic active zone.

Authors:  W Volknandt; M Karas
Journal:  Exp Brain Res       Date:  2012-02-22       Impact factor: 1.972

Review 3.  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

4.  AKAP signaling in reinstated cocaine seeking revealed by iTRAQ proteomic analysis.

Authors:  Kathryn J Reissner; Joachim D Uys; John H Schwacke; Susanna Comte-Walters; Jennifer L Rutherford-Bethard; Thomas E Dunn; Joe B Blumer; Kevin L Schey; Peter W Kalivas
Journal:  J Neurosci       Date:  2011-04-13       Impact factor: 6.167

Review 5.  Recent advances in neuroproteomics.

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

6.  Axonal transport proteomics reveals mobilization of translation machinery to the lesion site in injured sciatic nerve.

Authors:  Izhak Michaelevski; Katalin F Medzihradszky; Aenoch Lynn; Alma L Burlingame; Mike Fainzilber
Journal:  Mol Cell Proteomics       Date:  2009-11-14       Impact factor: 5.911

7.  Germline competency of parthenogenetic embryonic stem cells from immature oocytes of adult mouse ovary.

Authors:  Zhong Liu; Zhe Hu; Xinghua Pan; Minshu Li; Taiwo A Togun; David Tuck; Mattia Pelizzola; Junjiu Huang; Xiaoying Ye; Yu Yin; Mengyuan Liu; Chao Li; Zhisheng Chen; Fang Wang; Lingjun Zhou; Lingyi Chen; David L Keefe; Lin Liu
Journal:  Hum Mol Genet       Date:  2011-01-14       Impact factor: 6.150

Review 8.  Moving forward in colorectal cancer research, what proteomics has to tell.

Authors:  Nerea Bitarte; Eva Bandrés; Ruth Zárate; Natalia Ramirez; Jesus Garcia-Foncillas
Journal:  World J Gastroenterol       Date:  2007-11-28       Impact factor: 5.742

9.  Shotgun proteomics in neuroscience.

Authors:  Lujian Liao; Daniel B McClatchy; John R Yates
Journal:  Neuron       Date:  2009-07-16       Impact factor: 17.173

10.  Modeling substance abuse for applications in proteomics.

Authors:  Scott E Hemby; Nilesh Tannu
Journal:  Methods Mol Biol       Date:  2009
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