Literature DB >> 15706611

Human cerebrospinal fluid peptidomics.

Xianglin Yuan1, Dominic M Desiderio.   

Abstract

Cerebrospinal fluid (CSF) has frequently been extensively studied to explore several different central nervous system (CNS) disorders because it contains proteins, enzymes, hormones, neuropeptides and neurotransmitters that play critical regulatory roles in many different physiological processes. Individual neuropeptidergic systems in CSF have been studied. In theory, peptidomics offers a bird's-eye, comprehensive and systems-level approach to analyze all of the peptidergic systems that have been expressed in CSF at any given time. In this study, low molecular mass (M(r) < 5 kDa) peptides were isolated by ultrafiltration. The isolated peptides, with or without trypsin digestion, were preferentially enriched with a solid-phase extraction cartridge, and the peptides were separated with capillary liquid chromatography and analyzed with on-line quadrupole time-of-flight mass spectrometry (MS). In this proof-of-principle study, the 20 representative MS-characterized peptides were shown to be derived from 12 proteins, among which four proteins, amyloid-like protein 1, secretogranin I, granin-like neuroendocrine peptide precursor and neurosecretory protein VGF, have been shown elsewhere to be either associated with CNS disorders or to play a central role in the CNS. The long-term goals of this peptidomics study are to monitor the changes (amount; modifications) of CSF peptides, clarify the aberrant processing of large intact protein precursors, elucidate the molecular mechanisms of CNS disorders and find biomarkers. This analytical method is effective for the analysis of the human lumbar CSF peptidome. Copyright 2005 John Wiley & Sons, Ltd.

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Year:  2005        PMID: 15706611     DOI: 10.1002/jms.737

Source DB:  PubMed          Journal:  J Mass Spectrom        ISSN: 1076-5174            Impact factor:   1.982


  27 in total

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Review 9.  Glycoproteomics in neurodegenerative diseases.

Authors:  Hyejin Hwang; Jianpeng Zhang; Kathryn A Chung; James B Leverenz; Cyrus P Zabetian; Elaine R Peskind; Joseph Jankovic; Zhen Su; Aneeka M Hancock; Catherine Pan; Thomas J Montine; Sheng Pan; John Nutt; Roger Albin; Marla Gearing; Richard P Beyer; Min Shi; Jing Zhang
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