Abstract

A suite of bioactive peptides orchestrates a variety of cellular interactions in the mammalian brain. A new bioanalytical strategy, neuropeptidomics, has evolved from the quest to characterize these important signaling peptides (SPs). The goal of a neuropeptidomics experiment is to characterize the peptides present in an intact brain, brain region, or individual neuron. To succeed, a neuropeptidomics measurement needs to deal with the large dynamic range and low abundance of some neuropeptides in a background of peptides from postmortem degradation of ubiquitous proteins. Core components of a successful-neuropeptidomics study include effective tissue sampling, sensitive and robust peptide characterization, and comprehensive data analysis and interpretation. Mass spectrometry (MS) has become the central analytical approach for high-throughput, high-confidence characterization of the brain peptidome because of its capability to detect, identify, and quantify known and unknown peptides. Robust fractionation techniques, such as two-dimensional liquid chromatography, are commonly used in conjunction with MS to enhance investigation of the peptidome. Identification and characterization of peptides are more complex when neuropeptide prohormone genes have not been annotated. This chapter outlines techniques and describes protocols for three different experimental designs that combine MS with liquid chromatography, each aimed at high-throughput discovery of peptides in brain tissue. Further, we describe the currently available bioinformatics tools for automatic query of the experimental data against existing protein databases, as well as manual retrieval of structural information from raw MS data.

Original languageEnglish (US)
Title of host publicationNeuroproteomics
EditorsKa Wan Li
Pages229-242
Number of pages14
DOIs
StatePublished - Jun 3 2011

Publication series

NameNeuromethods
Volume57
ISSN (Print)0893-2336
ISSN (Electronic)1940-6045

Fingerprint

Brain
Peptides
Mass spectrometry
Mass Spectrometry
Liquid chromatography
Neuropeptides
Liquid Chromatography
Throughput
Tissue
Protein Databases
Information Storage and Retrieval
Bioinformatics
Fractionation
Computational Biology
Design of experiments
Proteolysis
Neurons
Proteins
Research Design
Genes

Keywords

  • Bioinformatics
  • Hormone
  • Liquid chromatography
  • Mass spectrometry
  • Neuropeptide
  • Neuropeptidome

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Pharmacology, Toxicology and Pharmaceutics(all)
  • Neuroscience(all)
  • Psychiatry and Mental health

Cite this

Xie, F., Romanova, E. V., & Sweedler, J. V. (2011). Neuropeptidomics of the mammalian brain. In K. W. Li (Ed.), Neuroproteomics (pp. 229-242). (Neuromethods; Vol. 57). https://doi.org/10.1007/978-1-61779-111-6_17

Neuropeptidomics of the mammalian brain. / Xie, Fang; Romanova, Elena V.; Sweedler, Jonathan V.

Neuroproteomics. ed. / Ka Wan Li. 2011. p. 229-242 (Neuromethods; Vol. 57).

Research output: Chapter in Book/Report/Conference proceedingChapter

Xie, F, Romanova, EV & Sweedler, JV 2011, Neuropeptidomics of the mammalian brain. in KW Li (ed.), Neuroproteomics. Neuromethods, vol. 57, pp. 229-242. https://doi.org/10.1007/978-1-61779-111-6_17
Xie F, Romanova EV, Sweedler JV. Neuropeptidomics of the mammalian brain. In Li KW, editor, Neuroproteomics. 2011. p. 229-242. (Neuromethods). https://doi.org/10.1007/978-1-61779-111-6_17
Xie, Fang ; Romanova, Elena V. ; Sweedler, Jonathan V. / Neuropeptidomics of the mammalian brain. Neuroproteomics. editor / Ka Wan Li. 2011. pp. 229-242 (Neuromethods).
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