Literature DB >> 17893856

Serum peptide profiling using MALDI mass spectrometry: avoiding the pitfalls of coated magnetic beads using well-established ZipTip technology.

Ali Tiss1, Celia Smith, Stephane Camuzeaux, Musarat Kabir, Simon Gayther, Usha Menon, Mike Waterfield, John Timms, Ian Jacobs, Rainer Cramer.   

Abstract

Blood represents a convenient diagnostic specimen for clinical analysis. Serum metabolites and peptides have the potential to serve as reliable indicators of progression from a normal to a diseased state. However, the presence of salts, lipids and high concentrations of protein in blood serum can adversely affect its mass spectrometric profiling, as all of these moieties can hinder the ionisation and detection of diagnostic biomarkers. Several pre-fractionation strategies using chromatographic adsorbents have been employed to desalt samples and remove abundant proteins such as albumin and immunoglobulin. As an alternative to multi-stage fractionation chromatography, we describe in this practical review the adaptation and validation of a simple and fast solid-phase extraction technique using ZipTips. The protocol allows for the purification and concentration of peptides in a few, mostly automated steps, prior to spectral biomarker pattern diagnostics using MALDI MS and MS/MS. It has the added advantages of being suitable for use in a high-throughput and potentially clinical environment, only requiring a few microlitres of serum. We have evaluated, optimised, and standardised a number of analytical parameters ranging from serum storage and handling to automated peptide extraction, crystallisation, spectral acquisition, and signal processing. Using standardised protocols the average CV of serum profiles within- and between-run replicates has been evaluated and found to be around 10 % based on the variability of all detected peaks (more than 100 peaks per profile). The results show that this easy and fast method of using ZipTips, tested over a whole year, is more reproducible and more suitable for serum profile screening than magnetic bead-based methodologies which show higher variability and higher rates of rejected, low-quality spectra upon applying strict data quality control filters.

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Year:  2007        PMID: 17893856     DOI: 10.1002/pmic.200700746

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


  12 in total

Review 1.  Biomarkers discovery by peptide and protein profiling in biological fluids based on functionalized magnetic beads purification and mass spectrometry.

Authors:  Fulvio Magni; Yuri E M Van Der Burgt; Clizia Chinello; Veronica Mainini; Erica Gianazza; Valeria Squeo; André M Deelder; Marzia Galli Kienle
Journal:  Blood Transfus       Date:  2010-06       Impact factor: 3.443

2.  Phylogenetic classification and identification of bacteria by mass spectrometry.

Authors:  Anja Freiwald; Sascha Sauer
Journal:  Nat Protoc       Date:  2009       Impact factor: 13.491

3.  Selective enrichment and sensitive detection of peptide and protein biomarkers in human serum using polymeric reverse micelles and MALDI-MS.

Authors:  Nadnudda Rodthongkum; Rajasekhar Ramireddy; S Thayumanavan; W Vachet Richard
Journal:  Analyst       Date:  2011-12-23       Impact factor: 4.616

4.  Proteomic analysis for process development and control of therapeutic protein separation from human plasma.

Authors:  Xinli Yang; James Clifton; Feilei Huang; Spomenka Kovac; Douglas C Hixson; Djuro Josic
Journal:  Electrophoresis       Date:  2009-04       Impact factor: 3.535

Review 5.  Proteomic serum biomarkers and their potential application in cancer screening programs.

Authors:  Anouck Huijbers; Berit Velstra; Tim J A Dekker; Wilma E Mesker; Yuri E M van der Burgt; Bart J Mertens; André M Deelder; Rob A E M Tollenaar
Journal:  Int J Mol Sci       Date:  2010-10-26       Impact factor: 5.923

6.  Biomarker discovery and redundancy reduction towards classification using a multi-factorial MALDI-TOF MS T2DM mouse model dataset.

Authors:  Chris Bauer; Frank Kleinjung; Celia J Smith; Mark W Towers; Ali Tiss; Alexandra Chadt; Tanja Dreja; Dieter Beule; Hadi Al-Hasani; Knut Reinert; Johannes Schuchhardt; Rainer Cramer
Journal:  BMC Bioinformatics       Date:  2011-05-09       Impact factor: 3.169

7.  A simpler method of preprocessing MALDI-TOF MS data for differential biomarker analysis: stem cell and melanoma cancer studies.

Authors:  Dong L Tong; David J Boocock; Clare Coveney; Jaimy Saif; Susana G Gomez; Sergio Querol; Robert Rees; Graham R Ball
Journal:  Clin Proteomics       Date:  2011-09-19       Impact factor: 3.988

8.  Evaluation of inter-day and inter-individual variability of tear peptide/protein profiles by MALDI-TOF MS analyses.

Authors:  Nerea González; Ibon Iloro; Juan A Durán; Félix Elortza; Tatiana Suárez
Journal:  Mol Vis       Date:  2012-06-14       Impact factor: 2.367

9.  Influence of honeybee sting on peptidome profile in human serum.

Authors:  Jan Matysiak; Agata Światły; Joanna Hajduk; Joanna Matysiak; Zenon J Kokot
Journal:  Toxins (Basel)       Date:  2015-05-22       Impact factor: 4.546

10.  Identification of Serum Peptidome Signatures of Non-Small Cell Lung Cancer.

Authors:  Agnieszka Klupczynska; Agata Swiatly; Joanna Hajduk; Jan Matysiak; Wojciech Dyszkiewicz; Krystian Pawlak; Zenon J Kokot
Journal:  Int J Mol Sci       Date:  2016-03-31       Impact factor: 5.923

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