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This long-awaited first guide to sample preparation for proteomics studies overcomes a major bottleneck in this fast growing technique within the molecular life sciences. By addressing the topic from three different angles -- sample, method and aim of the study -- this practical reference has something for every proteomics researcher. Following an introduction to the field, the book looks at sample preparation for specific techniques and applications and finishes with a section on the preparation of sample types. For each method described, a summary of the pros and cons is given, as well as step-by-step protocols adaptable to any specific proteome analysis task.
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Seitenzahl: 891
Veröffentlichungsjahr: 2011
Contents
Preface
List of Contributors
List of Abbreviations
Part I Perspectives in Proteomics Sample Preparation
1 IntroductionN. Leigh Anderson
2 General Aspects of Sample Preparation for Comprehensive Proteome AnalysisSven Andrecht and Jörg von Hagen
2.1 The Need for Standards in Proteomics Sample Preparation
2.2 Introduction: The Challenge of Crude Proteome Sample Analysis
2.3 General Aspects: Parameters which Influence the Sample Preparation Procedure
2.4 Summary and Perspectives
References
3 Proteomics: A Philosophical PerspectiveErich Hamberger
3.1 Introduction: “In the Beginning was the Word”
3.2 The Experiment as a Scientific Method and a Tool of Cognition
3.3 The Experiment as a Method (Tool) of Cognition Within the Scope of Biology: The So-Called “Life Sciences”
3.4 Proteomics as a Cognition-Theoretical Challenge
3.5 Conclusion
References
Part II Methods
4 Mass Spectrometry
4.1 A Practical Guideline to Electrospray Ionization Mass Spectrometry for Proteomics ApplicationJon Barbour, Sebastian Wiese, Helmut E. Meyer, and Bettina Warscheid
4.2 Sample Preparation for the Application of MALDI Mass Spectrometry in Proteome AnalysisAndreas Tholey, Matthias Glückmann, Kerstin Seemann, and Michael Karas
4.3 Sample Preparation for Label-Free Proteomic Analyses of Body Fluids by Fourier Transform Ion Cyclotron Mass SpectrometryCloud P. Paweletz, Nathan A. Yates, and Ronald C. Hendrickson
4.4 Sample Preparation for Differential Proteome Analysis: Labeling Technologies for Mass SpectrometryJosef Kellermann
4.5 Determining Membrane Protein Localization Within Subcellular Compartments Using Stable Isotope TaggingKathryn S. Lilley, Tom Dunkley, and Pawel Sadowski
References
5 Electrophoresis
5.1 Sample Preparation for Two-Dimensional Gel ElectrophoresisWalter Weiss and Angelika Görg
5.2 Sample Preparation for Native ElectrophoresisIlka Wittig and Hermann Schägger
5.3 Sample Preparation for LC-MS/MS Using Free-Flow ElectrophoresisMikkel Nissum, Afsaneh Abdolzade-Bavil, Sabine Kuhfuss, Robert Wildgruber, Gerhard Weber, and Christoph Eckerskorn
5.4 Sample Preparation for Capillary ElectrophoresisRoss Burn and David Perrett
References
6 Optical Methods
6.1 High-Throughput Proteomics: Spinning Disc Interferometry (SDI)Patricio Espinoza Vallejos, Greg Lawrence, David Nolte, Fred Regnier, and Joerg Schreiber
6.2 Optical Proteomics on Cell ArraysAndreas Girod and Philippe Bastiaens
6.3 Sample Preparation by Laser Microdissection and Catapulting for Proteome AnalysisKarin Schütze, Andrea Buchstaller, Yilmaz Niyaz, Christian Melle, Günther Ernst, Kerstin David, Thorsten Schlomm, and Ferdinand von Eggeling
6.4 Sample Preparation for Flow CytometryDerek C. Davies
References
7 Chromatography
7.1 Sample Preparation for HPLC-Based Proteome AnalysisEgidijus Machtejevas and Klaus K. Unger
7.2 Sample Preparation for Two-Dimensional Phosphopeptide Mapping and Phosphoamino Acid AnalysisAnamarija Kruljac-Letunic and Andree Blaukat
References
8 Structural Proteomics
8.1 Exploring Protein–Ligand Interactions by Solution NMRRudolf Hartmann, Thomas Stangler, Bernd W.König, and Dieter Willbold
8.2 Sample Preparation for CrystallographyDjordje Musil
References
9 Interaction Analysis
9.1 Sample Preparation for Protein Complex Analysis by the Tandem Affinity Purification (TAP) MethodBertrand Séraphin and Andrzej Dziembowski
9.2 Exploring Membrane ProteomesFilippa Stenberg and Daniel O. Daley
References
10 Post-Translational Modifications
10.1 Sample Preparation for Phosphoproteome AnalysisRené P. Zahedi and Albert Sickmann
10.2 Sample Preparation for Analysis of Post-Translational Modifications: GlycosylationDavid S. Selby, Martin R. Larsen, Miren J. Omaetxebarria, and Peter Roepstorff
References
11 Species-Dependent Proteomics
11.1 Sample Preparation and Data Processing in Plant ProteomicsKatja Baerenfaller, Wilhelm Gruissem, and Sacha Baginsky
11.2 Sample Preparation for MudPIT with Bacterial Protein SamplesAnsgar Poetsch and Dirk Wolters
11.3 Sample Preparation for the Cell-Wall Proteome Analysis of Yeast and FungiKai Sohn, Ekkehard Hiller, and Steffen Rupp
References
12 The Human Proteosome
12.1 Clinical Proteomics: Sample Preparation and StandardizationGerd Schmitz and Carsten Gnewuch
12.2 Stem Cell ProteomicsRegina Ebert, Gabriele Möller, Jerzy Adamski, and Franz Jakob
References
13 Bioinformatics
13.1 Bioinformatics Support for Mass Spectrometric Quality ControlKnut Reinert, Tim Conrad, and Oliver Kohlbacher
13.2 Use of Physico-Chemical Properties in Peptide and Protein IdentificationAnastasia K. Yocum, PeterJ. Ulintz, and Philip C. Andrews
References
Index
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The Editor
Dr. Jörg von Hagen
Merck KGaAChromatography and BioscienceFrankfurter Strasse 25064271 DarmstadtGermany
All books published by Wiley-VCH are carefully produced. Nevertheless, authors, editors, and publisher do not warrant the information contained in these books, including this book, to be free of errors. Readers are advised to keep in mind that statements, data, illustrations, procedural details or other items may inadvertently be inaccurate.
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© 2008 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
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Cover WMXDesign GmbH, Heidelberg
ISBN: 978-3-527-31796-7
Preface
Why is there a need to consider Sample preparation in proteomics? Following the successes of the genome era, researchers have switched their efforts to analyzing complex protein mixtures, hopefully to obtain deeper insights into the molecular development of diseases by comparing whole proteomes from healthy versus disease tissues, body fluid samples, or other sources. Proteomics was born on the waves of these advances and, as a consequence, enormous investments were made in many attempts to unravel the proteome for biomarker identification. The first wave of proteomics resulted in a re-arming of the laboratories which, by this time, no longer required vastly expensive equipment such as mass spectrometers. Inevitably, this surge of interest led to a vast number of reports in which biomarkers had, supposedly, been identified. The second wave of proteomics has been characterized more by the establishment of diverse methods and their combination, as so-called “standard proteomic workflows”. Today, this subset of methodologies, databases and workflows appears largely to have been optimized, and the numbers of applications for the funding of studies and grants which include the catchword “proteomics” are rapidly increasing as the research teams continue their quests for meaningful data. Yet, the best way to obtain high-quality data and ensure consistency is not only to perform analyses in replicate but also – and more importantly – to standardize the methods of sample preparation.
What is meant by the term “proteomics”? Whilst this is to some extent a philosophical question, the answer depends heavily on an individual’s point of view. Some researchers describe proteomics as a unique scientific area for the analysis of whole proteomes, as notably do clinical proteome scientists. Others define proteomics as a subset of methodologies that are valuable in the analysis of proteins, as proteins represent the most common drug targets today and are the molecules closest to the point of invention in living cells. Despite these differences of opinion, common sense among the scientific community decrees that sample preparation procedures must be kept as simple as possible. In this way, such procedures will go hand in hand with high accuracy and standardization. Clearly, proteomics – in contrast to genomics, which embraces sensitivity, abundance and a combination of different methods – depends on the state of the biological sample itself. The main question, therefore, is how to create an optimal workflow for each particular experimental set-up.
This book will provide those scientists on the third wave of proteomics – whether researchers or simply users of protein biochemical methodologies – with a comprehensive overview of the different requirements for sample preparation when using today’s technologies. Hopefully, it will also provide any “beginners” in proteomics with some very brief “recipes” designed by well-known experts in each particular field.
I believe that this book will “sensitize” the need for sample preparation in proteomics, and will illustrate – with many useful practical applications – the problems which stem from the complexity of whole proteome samples. In this way it will provide solutions for those scientists who are new to this intriguing field of proteomics.
Jörg von Hagen
List of Contributors
Afsaneh Abdolzade-Bavil
BD Diagnostics – Preanalytical
Systems
Am Klopferspitz 19a
82152 Planegg/Martinsried
Germany
Jerzy Adamski
German Research Center for
Environmental Health
Institute of Experimental Genetics
Ingolst,ädter Landstrasse 1
85764 Neuherberg
Germany
N. Leigh Anderson
CEO, Plasma Proteome Institute
P.O. Box 53450
Washington, DC 20009-3450
USA
Sven Andrecht
Merck KGaA
Chromatography and Bioscience
Frankfurter Strasse 250
64271 Darmstadt
Germany
Philip C. Andrews
University of Michigan Medical School
Department of Biological Chemistry
National Resource for Proteomics
and Pathways
300 North Ingalls Street
Ann Arbor, MI 48109-0606
USA
Sacha Baginsky
ETH Zürich
LFW E51.1
Universitätsstrasse 2
8092 Zürich
Switzerland
Jon Barbour
Ruhr-University Bochum
Medical Proteome-Center
Universitätsstrasse 150
44801 Bochum
Germany
Katja Bärenfaller
ETH Zürich
Institute of Plant Sciences
Universitätsstrasse 2
8092 Zürich
Switzerland
Philippe Bastiaens
EMBL Heidelberg
Meyerhofstrasse 1
69117 Heidelberg
Germany
Andree Blaukat
Merck KGaA
Oncology – Biochemistry & Cellular
Pharmacology
Frankfurter Strasse 250
64293 Darmstadt
Germany
Andrea Buchstaller
Ludwig Maximilians University
Institute of Pathology
Thalkirchener Strasse 36
80337 Munich
Germany
Ross Burn
PR&D, AstraZeneca
Avlon Works
Severn Road
Hallen, Bristol BS10 7ZE
United Kingdom
Tim Conrad
Institut für Mathematik
Fachbereich Mathematik und
Informatik
AG Bio Computing Group
Arnimallee 6
14195 Berlin
Germany
Daniel O. Daley
Stockholm University
Department of Biochemistry
and Biophysics
Svante Arrhenius väg 12
10691 Stockholm
Sweden
Kerstin David
Indivumed GmbH
Center for Cancer Research
Israelitisches Krankenhaus Hamburg
Orchideenstieg 14
22297 Hamburg
Germany
Derek C. Davies
London Research Institute
Cancer Research UK
FACS Laboratory
44 Lincoln’s Inn Fields
London WC2A 3PX
United Kingdom
Tom Dunkley
University of Cambridge
Cambridge Centre for Proteomics
Department of Biochemistry
Downing Site
Cambridge CB2 1QW
United Kingdom
Andrzej Dziembowski
Equipe Labellisée La Ligue
CGM, CNRS UPR2167
Avenue de la Terrasse
91198 Gif sur Yvette Cedex
France
and
Present address:
Warsaw University
Department of Genetics
Pawinskiego 5a
02-106 Warsaw
Poland
Regina Ebert
University of Würzburg
Orthopedic Center for
Musculoskeletal Research
Orthopedic Department
Brettreichstrasse 11
97074 Würzburg
Germany
Christoph Eckerskorn
BD Diagnostics
Preanalytical Systems
Innovationszentrum Biotechnologie
Am Klopferspitz 19
82152 Martinsried/Planegg
Germany
Ferdinand von Eggeling
Medical Faculty at the
Friedrich Schiller University
Institute of Human Genetics and
Anthropology
07740 Jena
Germany
Günther Ernst
Medical Faculty at the
Friedrich Schiller University
Institute of Human Genetics and
Anthropology
07740 Jena
Germany
Patricio Espinoza Vallejos
Quadraspec Inc.
3000 Kent Avenue
West Lafayette, IN 47906
USA
Andreas Girod
EMBL Heidelberg
Meyerhofstrasse 1
69117 Heidelberg
Germany
Matthias Glückmann
Applied Biosystems
Mass Spectrometry and Proteomics
64293 Darmstadt
Germany
Carsten Gnewuch
Klinikum der Universität Regensburg
Institut für Klinische Chemie und
Laboratoriumschemie
Franz-Josef-Strauss-Allee 11
93053 Regensburg
Germany
Angelika Görg
TU München
Proteomics Department
Am Forum 2
85354 Freising-Weihenstephan
Germany
Wilhelm Gruissem
ETH Zürich
Institute of Plant Sciences
Universitätsstrasse 2
8092 Zürich
Switzerland
Jörg von Hagen
Merck KGaA
Chromatography and Bioscience
Frankfurter Strasse 250
64271 Darmstadt
Germany
Erich Hamberger
Universität Salzburg
Fachbereich Kommunikations-wissenschaft
Rudolfskai 42
5020 Salzburg
Austria
Rudolf Hartmann
Heinrich-Heine-Universität Düsseldorf
Institut für Physikalische Biologie
40225 Düsseldorf
Germany
Ronal C. Hendrickson
Merck & CO.
Merck Research Laboratories
Rahway, NJ
USA
Ekkehard Hiller
Fraunhofer Institute for Interfacial
Engineering and Biotechnology (IGB)
Department of Molecular
Biotechnology
Nobelstrasse 12
70569 Stuttgart
Germany
Franz jakob
University of Würzburg
Orthopedic Center for
Musculoskeletal Research
Orthopedic Department
Brettreichstrasse 11
97074 Würzburg
Germany
Michael Karas
Johann Wolfgang Goethe University
Institute of Pharmaceutical Chemistry
Max-von-Laue-Strasse 91
60438 Frankfurt
Germany
Josef Kellermann
MPI für Biochemie
Proteinanalysis
Am Klopferspitz 19 a
82152 Martinsried/Planegg
Oliver Kohlbacher
Wilhelm-Schickard-Institut
für Informatik
Sand 14
72076 Tübingen
Germany
Bernd W. König
Heinrich-Heine-Universität Düsseldorf
Institut für Physikalische Biologie
40225 Düsseldorf
Germany
and
Forschungszentrum Jülich
Institut für Neurowissenschaften
und Biophysik, Biomolekulare NMR
52425 Jülich
Germany
Anamarija Kruljac-Letunic
EMBL Heidelberg
Cell Biology and Biophysics
Meyerhofstrasse 1
69117 Heidelberg
Germany
Sabine Kuhfuss
BD Diagnostics – Preanalytical Systems
Am Klopferspitz 19a
82152 Martinsried/Planegg
Germany
Martin R. Larsen
University of Southern Denmark
Department of Biochemistry
and Molecular Biology
Campusvej 55
5230 Odense M
Denmark
Greg Lawrence
Quadraspec Inc.
3000 Kent Avenue
West Lafayette, IN 47906
USA
Kathryn S. Lilley
University of Cambridge
Department of Biochemistry
Downing Site
Cambridge CB2 1QW
United Kingdom
Egidijus Machtejevas
Johannes Gutenberg University
Institute of Inorganic and
Analytical Chemistry
Duesbergweg 10–14
55099 Mainz
Germany
Christian Melle
Medical Faculty at the
Friedrich Schiller University
Core Unit Chip Application (CUCA)
Institute of Human Genetics and
Anthropology
07740 Jena
Germany
Helmut E. Meyer
Ruhr-University Bochum
Medical Proteome-Center
Universitätsstrasse 150
44801 Bochum
Germany
Gabriele Möller
German Research Center
for Environmental Health
Institute of Experimental Genetics
Ingolstädter Landstrasse 1
85764 Neuherberg
Germany
Djordje Musil
Merck KGaA
Merck Serono Research
NCE-Tech / LDT/ MIB
Frankfurter Strasse 250
64293 Darmstadt
Germany
Mikkel Nissum
BD Diagnostics – Preanalytical Systems
Am Klopferspitz 19a
82152 Martinsried/Planegg
Germany
Yilmaz Niyaz
P.A.L.M. Microlaser Technologies
GmcB
Am Neuland 9
82147 Bernried
Germany
David Nolte
Purdue University
Department of Physics
525 Northwestern Avenue
West Lafayette, IN 47907-2036
USA
Miren J. Omaetxebarria
University of The Basque Country
Department of Biochemistry and
Molecular Biology
Faculty of Science and Technology
Sarriena z/g
48940 Leioa
Spain
Cloud P. Paweletz
Merck & CO.
Merck Research Laboratories
Rahway NJ
USA
David Perrett
Queen Mary University London
St. Bartholomew’s Hospital Medial
College
West Smithfield
London EC1A 7BE
United Kingdom
Ansgar Poetsch
Ruhr-University Bochum
Medical Proteome-Center
Universitätsstrasse 150
Germany
Fred Regnier
Purdue University
Department of Chemistry
560 Oval Drive
West Lafayette, IN 47907-2084
USA
Knut Reinert
Freie Universität Berlin
Institut für Informatik
Takustrasse 9
14195 Berlin
Germany
Peter Roepstorff
University of Southern Denmark
Department of Biochemistry
and Molecular Biology
Campusvej 55
5230 Odense M
Denmark
Steffen Rupp
Fraunhofer Institute for Interfacial
Engineering and Biotechnology (IGB)
Department of Molecular Biotechnology
Nobelstrasse 12
70569 Stuttgart
Germany
Pawel Sadowski
University of Cambridge
Cambridge Centre for Proteomics
Department of Biochemistry
Downing Site
Cambridge CB2 1QW
United Kingdom
Hermann Schägger
Universitätsklinikum
Zentrum der Biologischen Chemie
Molekulare Biochemie
Theodor-Stern-Kai 7, Haus 26
60590 Frankfurt
Germany
Thorsten Schlomm
University Clinic Hamburg-Eppendorf
Department of Urology
20246 Hamburg
Germany
Gerd Schmitz
University Hospital Regensburg
Institute for Clinical Chemistry
and Laboratory Medicine
Franz-Josef-Strauss-Allee 11
93053 Regensburg
Germany
Joerg Schreiber
Quadraspec Inc.
3000 Kent Avenue
West Lafayette, IN 47906
USA
Karin Schütze
Carl Zeiss Microlmaging GmbH
Am Neuland 9
82347 Bernried
Kerstin Seemann
Merck KGaA
Analytical Development and
Bioanalytics
64293 Darmstadt
Germany
David S. Selby
Harrison Goddard Foote
Belgrave Hall, Belgrave Street
Leeds LS2 8DD
United Kingdom
Bertrand Séraphin
CGM–CNRS UPR2167
Equipe Labellisée La Ligue
Avenue de la Terrasse
91198 Gif sur Yvette Cedex
France
Albert Sickmann
Rudolf-Virchow-Center for
Experimental Biomedicine
Protein Mass Spectrometry and
Functional Proteomics
Versbacher Strasse 9
97078 Würzburg
Germany
Kai Sohn
Fraunhofer Institute for Interfacial
Engineering and Biotechnology (IGB)
Department of Molecular
Biotechnology
Nobelstrasse 12
70569 Stuttgart
Germany
Thomas Stangler
Heinrich-Heine-Universität Düsseldorf
Institut für Physikalische Biologie
40225 Düsseldorf
Germany
and
Forschungszentrum Jülich
IBI-2
Institut für Naturwissenschaften
52425 Jülich
Germany
Filippa Stenberg
Stockholm University
Department of Biochemistry and
Biophysics
Svante Arrhenius väg 12
10691 Stockholm
Sweden
Andreas Tholey
Universität des Saarlandes
Technische Biochemie
Functional Proteomics Group
Campus A 1-5
66123 Saarbrücken
Germany
PeterJ. Ulintz
University of Michigan Medical School
Bioinformatics Graduate Program
National Resource for Proteomics
and Pathways
300 North Ingalls Street
Ann Arbor, MI 48109-0606
USA
Klaus K. Unger
Johannes Gutenberg University
Institute of Inorganic and Analytical
Chemistry
Duesbergweg 10-14
55099 Mainz
Germany
Bettina Warscheid
Ruhr-University Bochum
Medical Proteome-Center
Universitätsstrasse 150
44780 Bochum
Germany
Gerhard Weber
BD Diagnostics
Am Klopferspitz 19a
82152 Martinsried/Planegg
Germany
Walter Weiss
Technical University Munich
Proteomics Department
Am Forum 2
85350 Freising-Weihenstephan
Germany
Sebastian Wiese
Ruhr-University Bochum
Medical Proteome-Center
Universitätsstrasse 150
44801 Bochum
Germany
Robert Wildgruber
BD Diagnostics
Am Klopferspitz 19a
82152 Martinsried/Planegg
Germany
Dieter Willbold
Heinrich-Heine-Universität Düsseldorf
Institut fiir Physikalische Biologie
40225 Düsseldorf
Germany
and
Forschungszentrum Jülich
Institut fiir Naturwissenschaften
IBI-2 / Molekulare Biophysik II
52425 Jülich
Germany
Ilka Wittig
Universitätsklinikum Frankfurt
Zentrum der Biologischen Chemie
Molekulare Bioenergetik
Theodor-Stern-Kai 7
60590 Frankfurt
Germany
Dirk Wolters
Ruhr-Universität Bochum
Analytische Chemie NC 4/72
Biomolekulare Massenspektrometrie
Universitätsstrasse 150
44801 Bochum
Germany
Nathan A. Yates
Merck & CO.
Merck Research Laboratories
Rahway, NJ
USA
Anastasia K. Yocum
University of Michigan Medical School
Michigan Center for Translational
Pathology
Department of Pathology
1150 West Medical Center Drive
Ann Arbor, MI 48109-0606
USA
René P. Zahedi
Rudolf-Virchow-Center for
Experimental Biomedicine
Protein Mass Spectrometry and
Functional Proteomics
Versbacher Strasse 9
97078 Würzburg
Germany
List of Abbreviations
2-DEtwo-dimensional electrophoresisBGEbackground electrolyteCEcapillary electrophoresisCGEcapillary gel electrophoresisCHAPS3-[(3-cholamidopropyl)dimethylammonio]-1-propanesulfonate hydratecIEFcapillary isoelectric focusingcITPcapillary isotachophoresisCLODconcentration Limit of DetectionCZEcapillary zone electrophoresisDCdirect currentDMSOdimethyl sulfoxideEDTAethylenediaminetetraacetic acidEOFelectroosmotic flowFIAfield-amplified jnjectionHPLChigh-performance liquid chromatographyHUPOHuman Proteome OrganisationITPisotachophoresisLEleading electrolytLODlimit of detectionMEKCmicellar electrokinetic chromatographyMIPmolecular imprinted polymerMSmass spectrometryOPA/NACphthaldialdehyde/N-acety-L-cysteinePCpersonal computerpIisoelectric pointPVApolyvinyl alcoholRPLCreversed-phase liquid chromatographySDSsodium dodecyl sulfateSPEsolid-phase extractionSPMEsolid-phase micro-extractionTEterminating electrolyteTEMEDN,N,N′,N′ -tetramethylethylenediamineTrisTris(hydroxymethyl)aminomethaneUFultrafiltrationUVultravioletVisvisiblePart I
Perspectives in Proteomics Sample Preparation
1
Introduction
N. Leigh Anderson
A lot can happen to a protein in the time between its removal from an intact biological system and its introduction into an analytical instrument. Given the increasing sophistication of methods for characterizing many classes of post-translational modification, an increasing variety of protein-modifying processes need to be kept under control if we are to understand what is biology, and what is noise. Hence, the growing importance of sample preparation in proteomics. One might justifiably say that the generation of good samples is half the battle in this field.
Fortunately, proteomics provides us with good methods for studying sample preparation issues. Two-dimensional electrophoresis of plasma, for example, provides a visual protein fingerprint that allows the immediate recognition of sample handling issues such as clotting, platelet breakage, and extended storage at –20 °C (instead of–80 °C). A deeper exploration of plasma using mass spectrometry-based methods provides a more comprehensive picture, though perhaps more difficult to understand.
Unfortunately, despite the power of these methods, we do not know as much about sample quality and sample processing as we need to. The general attitude to these issues in proteomics has been to focus on the standardization of a few obvious variables and hope that the power of the analytical methods allows the sought-for differences between sample groups to shine through. This short-cut approach is likely to be problematic. Not only do the unrecognized effects of sample preparation differences add noise to the background against which the biological signal must be detected, but the sample preparation effects themselves are occasionally confused with biology. Well-informed skeptics correctly suspect that variables as basic as how blood is drawn or stored can generate spurious biomarker signals if the case and control samples are not acquired in exactly the same way. At this point we do not have adequate definitions of what “in exactly the same way” actually means for any given analytical platform.
These problems point to a need to take sample preparation (including initial acquisition through all the steps leading up to analysis) as a mission-critical issue, worthy of time and effort with our best analytical systems. Published data on differences between serum and plasma protein composition, the effect of blood clotting, is interesting but very far from definitive – and in fact specialists in blood coagulation can offer a host of reasons why this process is not easily controllable (and hence not especially reproducible) in a clinical environment. Even a process as widely relied on as tryptic digestion is not really understood in terms of the time course of peptide release or the frequency with which “non-tryptic” peptides are generated – aspects which are critical for quantitative analysis. These and a host of similar issues can be attacked systematically using the tools of proteomics, with the aim of understanding how best to control and standardize sample preparation. In doing so, we will learn much about the tools themselves, and perhaps resolve the paradox surrounding the peptide profiling (originally SELDI) approach: that is, why it seems to be so successful in finding sample differences, but so unsuccessful in finding differences that are reproducible. Perhaps peptide profiling is the most sensitive method for detecting sample preparation artifacts: if it is, then it may be the best tool to support removal of these artifacts and ultimately the best way to classify and select samples for analysis by more robust methods.
Obviously, it is time to take a close look at sample preparation in proteomics. The reader is encouraged to weigh what is known against what is unknown in the following pages, and contemplate what might be done to improve our control over the complex processes entailed in generating the samples that we use.
2
General Aspects of Sample Preparation for Comprehensive Proteome Analysis
Sven Andrecht and jörg von Hagen
2.1 The Need for Standards in Proteomics Sample Preparation
Sample preparation is not the only step - but it is one of the most critical steps - in proteome research. The quality of protein samples is critical to generating accurate and informative data. As proteomic technologies move in the direction of higher throughput, upstream sample preparation becomes a potential bottleneck. Sample capture, transportation, storage, and handling are as critical as extraction and purification procedures. Obtaining homogeneous samples or isolating individual cells from clinical material is imperative, and for this standards are essential. Advances in microfluidic and microarray technologies have further amplified the need for higher-throughput, miniaturized, and automated sample preparation processes.
The need for consistency and standardization in proteomics has limited the success of solutions for proteomics sample preparation. Without effective standards, researchers use divergent methods to investigate their proteins, making it unrealistic to compare their data sets. Until standards emerge, the continual generation of randomized data sets is likely to contribute to the increasing complexity of proteomics research as well as sample preparation.
Proteomics aims to study dynamically changing proteins expressed by a whole organism, specific tissue or cellular compartment under certain conditions. Consequently, two main goals of proteomics research are to: (1) identify proteins derived from complex mixtures extracted from cells; and (2) quantify expression levels of those identified proteins. In recent years mass spectrometry (MS) has become one of the main tools to accomplish these goals by identifying proteins through information derived from tandem mass spectrometry (MS/MS) and measuring protein expression by quantitative MS methods. Recently, these approaches have been successfully applied in many studies, and can be used to identify 500 to 1000 proteins per experiment. Moreover, they can reliably detect and estimate the relative expression (proteins differentially expressed in different conditions) of high- and medium-abundance proteins, and can measure absolute protein expression (quantitation) of single proteins in complex mixtures. The ideal situation would be to catalogue all of the proteins present in a sample and their respective concentrations.However, this level of precision is not yet available because the number and concentration of proteins that can be resolved limits the proteomics methods.
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Lesen Sie weiter in der vollständigen Ausgabe!
Lesen Sie weiter in der vollständigen Ausgabe!
Lesen Sie weiter in der vollständigen Ausgabe!
Lesen Sie weiter in der vollständigen Ausgabe!
Lesen Sie weiter in der vollständigen Ausgabe!
Lesen Sie weiter in der vollständigen Ausgabe!
Lesen Sie weiter in der vollständigen Ausgabe!
Lesen Sie weiter in der vollständigen Ausgabe!
Lesen Sie weiter in der vollständigen Ausgabe!
Lesen Sie weiter in der vollständigen Ausgabe!
Lesen Sie weiter in der vollständigen Ausgabe!