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Identification of Human Serum Peptides in Fourier Transform Ion Cyclotron Resonance Precision Profiles
Author(s) -
Simone Nicolardi,
Hans Dalebout,
Marco R. Bladergroen,
Wilma E. Mesker,
Rob A.�E.�M. Tollenaar,
André M. Deelder,
Yuri E. M. van der Burgt
Publication year - 2012
Publication title -
international journal of proteomics
Language(s) - English
Resource type - Journals
eISSN - 2090-2174
pISSN - 2090-2166
DOI - 10.1155/2012/804036
Subject(s) - fourier transform ion cyclotron resonance , identification (biology) , fourier transform , ion cyclotron resonance , cyclotron , ion , nuclear magnetic resonance , medicine , computer science , computational biology , physics , mathematical analysis , biology , mathematics , quantum mechanics , botany
The continuous efforts to find new prognostic or diagnostic biomarkers have stimulated the use of mass spectrometry (MS) profiles in a clinical setting. In the early days (about one decade ago), a single low-resolution mass spectrum derived from an individual's body fluid was used for comparative studies. However, a peptide profile of a complex mixture is most informative when recorded on an ultrahigh resolution instrument such as a Fourier transform ion cyclotron resonance (FTICR) mass spectrometer. In this study we show the benefits of the ultrahigh resolving power and the high mass accuracy and precision provided by an FTICR mass spectrometer equipped with a 15-tesla magnet. The ultrahigh-resolution data not only allow assignment of fragment ions with high charge states (4+, 5+) but also enhance confidence of human serum peptide identifications from tandem MS experiments. This is exemplified with collision-induced dissociation (CID) and electron transfer dissociation (ETD) data of middle-down-sized endogenous or protein-breakdown peptides that are of interest in biomarker discovery studies.

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