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iTRAQ-Based Shotgun Neuroproteomics

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Neuroproteomics

Part of the book series: Methods in Molecular Biology ((MIMB,volume 566))

Summary

Shotgun proteomics involves the analysis of peptides obtained by enzymatic digestions of proteins and subsequent identification via tandem mass spectrometry. This approach is an effective method for studying global protein expression in neuronal systems. The method described here is a quantitative shotgun neuroproteomics method using amine-specific isobaric tags for a relative and absolute quantitation (iTRAQ)-based workflow. We will provide the technical details for sample preparation, two-dimensional liquid chromatography, tandem mass spectrometry, database search, and statistical analysis to identify differentially expressed proteins. We will use a recent study on a rat model of multiple sclerosis, experimental autoimmune encephalomyelitis to illustrate the successful application of this method.

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Author information

Authors and Affiliations

  1. Center for Advanced Proteomics Research and Department of Biochemistry and Molecular Biology, University of Medicine and Dentistry of New Jersey – New Jersey Medical School Cancer Center, Newark, NJ, USA

    Tong Liu, Jun Hu & Hong Li

Authors
  1. Tong Liu
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  2. Jun Hu
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  3. Hong Li
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Corresponding author

Correspondence to Hong Li .

Editor information

Editors and Affiliations

  1. Dept. Anatomy & Neurobiology, Virginia Commonwealth University School of Medicine, Richmond, U.S.A.

    Andrew K. Ottens

  2. Center of Innovative Research, Banyan Biomarkers, Inc. Center of Innovative Research, Alachua, U.S.A.

    Kevin K.W. Wang

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© 2009 Humana Press, a part of Springer Science+Business Media, LLC

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Liu, T., Hu, J., Li, H. (2009). iTRAQ-Based Shotgun Neuroproteomics. In: Ottens, A., Wang, K. (eds) Neuroproteomics. Methods in Molecular Biology, vol 566. Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-59745-562-6_14

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  • DOI: https://doi.org/10.1007/978-1-59745-562-6_14

  • Published:

  • Publisher Name: Humana Press, Totowa, NJ

  • Print ISBN: 978-1-934115-84-8

  • Online ISBN: 978-1-59745-562-6

  • eBook Packages: Springer Protocols

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