Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/13599
Title: Sample Preparation Techniques for the Untargeted LC-MS-Based Discovery of Peptides in Complex Biological Matrices
Authors: Finoulst, Inez
Pinkse, Martijn
Van Dongen, William
Verhaert, Peter 
Issue Date: 2011
Publisher: HINDAWI PUBLISHING CORPORATION
Source: JOURNAL OF BIOMEDICINE AND BIOTECHNOLOGY, 2011 (Article ID 245291)
Abstract: Although big progress has been made in sample pretreatment over the last years, there are still considerable limitations when it comes to overcoming complexity and dynamic range problems associated with peptide analyses from biological matrices. Being the little brother of proteomics, peptidomics is a relatively new field of research aiming at the direct analysis of the small proteins, called peptides, many of which are not amenable for typical trypsin-based analytics. In this paper, we present an overview of different techniques and methods currently used for reducing a sample's complexity and for concentrating low abundant compounds to enable successful peptidome analysis. We focus on techniques which can be employed prior to liquid chromatography coupled to mass spectrometry for peptide detection and identification and indicate their advantages as well as their shortcomings when it comes to the untargeted analysis of native peptides from complex biological matrices.
Notes: [Finoulst, Inez; Pinkse, Martijn; Van Dongen, William; Verhaert, Peter] Delft Univ Technol, Dept Biotechnol, Lab Analyt Biotechnol & Innovat Peptide Biol, NL-3706 AV Zeist, Netherlands. [Pinkse, Martijn; Verhaert, Peter] Delft Univ Technol, Netherlands Prote Ctr, NL-3706 AV Zeist, Netherlands. [Van Dongen, William] TNO Triskel, NL-3700 AV Zeist, Netherlands. [Verhaert, Peter] Hasselt Univ, Biomed Res Inst, B-3590 Diepenbeek, Belgium.
Keywords: Biotechnology & Applied Microbiology; Medicine; Research & Experimental
Document URI: http://hdl.handle.net/1942/13599
ISSN: 1110-7243
DOI: 10.1155/2011/245291
ISI #: 000298684700001
Category: A1
Type: Journal Contribution
Validations: ecoom 2013
Appears in Collections:Research publications

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