Literature DB >> 12601811

Protein identification in cerebrospinal fluid using packed capillary liquid chromatography Fourier transform ion cyclotron resonance mass spectrometry.

Margareta Ramström1, Magnus Palmblad, Karin E Markides, Per Håkansson, Jonas Bergquist.   

Abstract

The identification and characterization of proteins in complex biological samples such as body fluids, require powerful and reliable tools. Mass spectrometry is today one of the most important methods in such research. This paper reports on the results from the first experiment where a tryptic digest of cerebrospinal fluid was analyzed applying reversed phase liquid chromatography coupled on-line to a 9.4 T Fourier transform ion cyclotron resonance mass spectrometer. In total, 70 204 peaks were detected, which originated from 16 296 isotopic clusters corresponding to 6551 unique peptide masses. From these masses, 39 proteins were identified in the sample. The amount of sample required for one experiment corresponds to 32 microL of cerebrospinal fluid.

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Year:  2003        PMID: 12601811     DOI: 10.1002/pmic.200390027

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  3 in total

1.  Data Self-Recalibration and Mixture Mass Fingerprint Searching (DASER-MMF) to enhance protein identification within complex mixtures.

Authors:  Ryan M Danell; Severine A Ouvry-Patat; Cameron O Scarlett; J Paul Speir; Christoph H Borchers
Journal:  J Am Soc Mass Spectrom       Date:  2008-07-20       Impact factor: 3.109

2.  Heme-hemopexin complex attenuates neuronal cell death and stroke damage.

Authors:  Rung-chi Li; Sofiyan Saleem; Gehua Zhen; Wangsen Cao; Hean Zhuang; Jongseok Lee; Ann Smith; Fiorella Altruda; Emanuela Tolosano; Sylvain Doré
Journal:  J Cereb Blood Flow Metab       Date:  2009-03-11       Impact factor: 6.200

3.  Proteomic analysis of cerebrospinal fluid in a fulminant case of multiple sclerosis.

Authors:  Judit Füvesi; Jörg Hanrieder; Krisztina Bencsik; Cecilia Rajda; S Krisztián Kovács; László Kaizer; Sándor Beniczky; László Vécsei; Jonas Bergquist
Journal:  Int J Mol Sci       Date:  2012-06-21       Impact factor: 6.208

  3 in total

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