Literature DB >> 17511658

Neuropeptidomics: expanding proteomics downwards.

M Svensson1, K Sköld, A Nilsson, M Fälth, P Svenningsson, P E Andrén.   

Abstract

Biological function is mainly carried out by a dynamic population of proteins and peptides which may be used as markers for disease diagnosis, prognosis and as a guide for effective treatment. The study of proteins is called proteomics and it is generally performed by two-dimensional gel electrophoresis and mass spectrometric methods. However, gel-based proteomics is methodologically restricted from the low mass region, which includes important endogenous peptides. The study of endogenous peptides, peptidomics, is complicated by protein fragments produced post-mortem during conventional sample handling. Nanoflow liquid chromatography and MS, together with improved methods for sample preparation, have been used to semi-quantitatively monitor endogenous peptides in brain tissue. When rapidly heat-denatured brain tissue was analysed, these methods enabled simultaneous detection of hundreds of peptides and the identification of several endogenous peptides not previously described in the literature. In an application of the MPTP (1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine) model for Parkinson's disease, the expression of the small protein PEP-19 was compared with controls. The levels were found to be significantly decreased in the striatum of MPTP-treated animals.

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Year:  2007        PMID: 17511658     DOI: 10.1042/BST0350588

Source DB:  PubMed          Journal:  Biochem Soc Trans        ISSN: 0300-5127            Impact factor:   5.407


  29 in total

1.  Analysis of Endogenous D-Amino Acid-Containing Peptides in Metazoa.

Authors:  Lu Bai; Sarah Sheeley; Jonathan V Sweedler
Journal:  Bioanal Rev       Date:  2009-12

Review 2.  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

3.  Peptidomic analysis of HEK293T cells: effect of the proteasome inhibitor epoxomicin on intracellular peptides.

Authors:  Lloyd D Fricker; Julia S Gelman; Leandro M Castro; Fabio C Gozzo; Emer S Ferro
Journal:  J Proteome Res       Date:  2012-02-16       Impact factor: 4.466

4.  Combining capillary electrophoresis matrix-assisted laser desorption/ionization mass spectrometry and stable isotopic labeling techniques for comparative crustacean peptidomics.

Authors:  Junhua Wang; Yuzhuo Zhang; Feng Xiang; Zichuan Zhang; Lingjun Li
Journal:  J Chromatogr A       Date:  2010-03-06       Impact factor: 4.759

Review 5.  Neuroproteomics as a promising tool in Parkinson's disease research.

Authors:  Ilse S Pienaar; William M U Daniels; Jürgen Götz
Journal:  J Neural Transm (Vienna)       Date:  2008-06-04       Impact factor: 3.575

6.  NeuroPedia: neuropeptide database and spectral library.

Authors:  Yoona Kim; Steven Bark; Vivian Hook; Nuno Bandeira
Journal:  Bioinformatics       Date:  2011-08-05       Impact factor: 6.937

7.  Development and evaluation of normalization methods for label-free relative quantification of endogenous peptides.

Authors:  Kim Kultima; Anna Nilsson; Birger Scholz; Uwe L Rossbach; Maria Fälth; Per E Andrén
Journal:  Mol Cell Proteomics       Date:  2009-07-12       Impact factor: 5.911

8.  Metabolomics Analyses of 14 Classical Neurotransmitters by GC-TOF with LC-MS Illustrates Secretion of 9 Cell-Cell Signaling Molecules from Sympathoadrenal Chromaffin Cells in the Presence of Lithium.

Authors:  Vivian Hook; Tobias Kind; Sonia Podvin; Mine Palazoglu; Carol Tran; Thomas Toneff; Stephanie Samra; Christopher Lietz; Oliver Fiehn
Journal:  ACS Chem Neurosci       Date:  2019-01-23       Impact factor: 4.418

9.  Characterization of the prohormone complement in cattle using genomic libraries and cleavage prediction approaches.

Authors:  Bruce R Southey; Sandra L Rodriguez-Zas; Jonathan V Sweedler
Journal:  BMC Genomics       Date:  2009-05-16       Impact factor: 3.969

10.  The zebra finch neuropeptidome: prediction, detection and expression.

Authors:  Fang Xie; Sarah E London; Bruce R Southey; Suresh P Annangudi; Andinet Amare; Sandra L Rodriguez-Zas; David F Clayton; Jonathan V Sweedler
Journal:  BMC Biol       Date:  2010-04-01       Impact factor: 7.431

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