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Protein identification in cerebrospinal fluid using packed capillary liquid chromatography Fourier transform ion cyclotron resonance mass spectrometry
Uppsala University, Disciplinary Domain of Science and Technology, Chemistry, Department of Chemistry - BMC, Analytical Chemistry.
Jonfysik. Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Ion Physics. Uppsala University, Disciplinary Domain of Science and Technology, Chemistry, Department of Physical and Analytical Chemistry, Analytical Chemistry.
Uppsala University, Disciplinary Domain of Science and Technology, Chemistry, Department of Chemistry - BMC, Analytical Chemistry.
Jonfysik. Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Ion Physics. Uppsala University, Disciplinary Domain of Science and Technology, Chemistry, Department of Physical and Analytical Chemistry, Analytical Chemistry.
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2003 (English)In: Proteomics, Vol. 3, no 2, 184-190 p.Article in journal (Refereed) Published
Abstract [en]

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 μL of cerebrospinal fluid.

Place, publisher, year, edition, pages
2003. Vol. 3, no 2, 184-190 p.
Keyword [en]
Cerebrospinal fluid, Fourier transform ion cyclotron resonance mass spectrometry, Liquid chromatography, Peptide mass fingerprinting
National Category
Natural Sciences
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URN: urn:nbn:se:uu:diva-48486DOI: 10.1002/pmic.200390027OAI: oai:DiVA.org:uu-48486DiVA: diva2:76392
Available from: 2007-04-19 Created: 2007-04-19 Last updated: 2012-04-04Bibliographically approved

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Ramström, MargaretaMarkides, Karin EHåkansson, PerBergquist, Jonas

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