Peptide and protein quantification: A map of the minefield

The increasing popularity of gel‐free proteomics technologies has created a strong demand for compatible quantitative analysis methods. As a result, a plethora of different techniques has been proposed to perform gel‐free quantitative analysis of proteomics samples. Each of these methods comes with certain strengths and shortcomings, and they often are dedicated to a specific purpose. This review will present a brief overview of the main methods, organized by their underlying concepts, and will discuss the issues they raise with a focus on data processing. Finally, we will list the available software that can help with the data processing from quantitative experiments. We hope that this review will thus enable researchers to find the most appropriate method available for their research objectives, and can also serve as a basis for creating a reliable data processing strategy.

[1]  A. Schmidt,et al.  A novel strategy for quantitative proteomics using isotope‐coded protein labels , 2005, Proteomics.

[2]  Knut Reinert,et al.  A geometric approach for the alignment of liquid chromatography - mass spectrometry data , 2007, ISMB/ECCB.

[3]  P. O’Farrell The pre‐omics era: The early days of two‐dimensional gels , 2008, Proteomics.

[4]  Hiroyuki Kaji,et al.  STEM: a software tool for large-scale proteomic data analyses. , 2005, Journal of proteome research.

[5]  Chris F. Taylor,et al.  A common open representation of mass spectrometry data and its application to proteomics research , 2004, Nature Biotechnology.

[6]  E. Deutsch mzML: A single, unifying data format for mass spectrometer output , 2008, Proteomics.

[7]  Ruedi Aebersold,et al.  A Software Suite for the Generation and Comparison of Peptide Arrays from Sets of Data Collected by Liquid Chromatography-Mass Spectrometry*S , 2005, Molecular & Cellular Proteomics.

[8]  D. Jenden,et al.  Selected ion monitoring in pharmacology. , 1979, Biochemical pharmacology.

[9]  I. Papayannopoulos,et al.  The interpretation of collision‐induced dissociation tandem mass spectra of peptides , 1996 .

[10]  Knut Reinert,et al.  High-Accuracy Peak Picking of Proteomics Data Using Wavelet Techniques , 2005, Pacific Symposium on Biocomputing.

[11]  R. Aebersold,et al.  Quantitative profiling of differentiation-induced microsomal proteins using isotope-coded affinity tags and mass spectrometry , 2001, Nature Biotechnology.

[12]  M. Miyagi,et al.  Proteolytic 18O-labeling strategies for quantitative proteomics. , 2007, Mass spectrometry reviews.

[13]  Lennart Martens,et al.  A la carte proteomics with an emphasis on gel‐free techniques , 2007, Proteomics.

[14]  M. Mann,et al.  Stable Isotope Labeling by Amino Acids in Cell Culture, SILAC, as a Simple and Accurate Approach to Expression Proteomics* , 2002, Molecular & Cellular Proteomics.

[15]  Barbara Sitek,et al.  Study of Early Leaf Senescence in Arabidopsis thaliana by Quantitative Proteomics Using Reciprocal 14N/15N Labeling and Difference Gel Electrophoresis*S , 2008, Molecular & Cellular Proteomics.

[16]  B W Gibson,et al.  Low-mass ions produced from peptides by high-energy collision-induced dissociation in tandem mass spectrometry , 1993, Journal of the American Society for Mass Spectrometry.

[17]  Damon May,et al.  Software platform for rapidly creating computational tools for mass spectrometry-based proteomics. , 2009, Journal of proteome research.

[18]  J. Yates,et al.  A model for random sampling and estimation of relative protein abundance in shotgun proteomics. , 2004, Analytical chemistry.

[19]  R. Aebersold,et al.  A uniform proteomics MS/MS analysis platform utilizing open XML file formats , 2005, Molecular systems biology.

[20]  Karl Mechtler,et al.  MASPECTRAS: a platform for management and analysis of proteomics LC-MS/MS data , 2007, BMC Bioinformatics.

[21]  Jean-Charles Sanchez,et al.  MSight: An image analysis software for liquid chromatography‐mass spectrometry , 2005, Proteomics.

[22]  Navdeep Jaitly,et al.  Decon2LS: An open-source software package for automated processing and visualization of high resolution mass spectrometry data , 2009, BMC Bioinformatics.

[23]  Steffen Neumann,et al.  Highly sensitive feature detection for high resolution LC/MS , 2008, BMC Bioinformatics.

[24]  H. Christofk,et al.  A label‐free quantification method by MS/MS TIC compared to SILAC and spectral counting in a proteomics screen , 2008, Proteomics.

[25]  Andrew H. Thompson,et al.  Tandem mass tags: a novel quantification strategy for comparative analysis of complex protein mixtures by MS/MS. , 2003, Analytical chemistry.

[26]  R. Aebersold,et al.  Automated statistical analysis of protein abundance ratios from data generated by stable-isotope dilution and tandem mass spectrometry. , 2003, Analytical chemistry.

[27]  K. Parker,et al.  Multiplexed Protein Quantitation in Saccharomyces cerevisiae Using Amine-reactive Isobaric Tagging Reagents*S , 2004, Molecular & Cellular Proteomics.

[28]  Lennart Martens,et al.  Peptizer, a Tool for Assessing False Positive Peptide Identifications and Manually Validating Selected Results*S , 2008, Molecular & Cellular Proteomics.

[29]  Richard D. Smith,et al.  Robust algorithm for alignment of liquid chromatography-mass spectrometry analyses in an accurate mass and time tag data analysis pipeline. , 2006, Analytical chemistry.

[30]  S. Gygi,et al.  Quantitative analysis of complex protein mixtures using isotope-coded affinity tags , 1999, Nature Biotechnology.

[31]  Lennart Martens,et al.  Do we want our data raw? Including binary mass spectrometry data in public proteomics data repositories , 2005, Proteomics.

[32]  Lukas N. Mueller,et al.  An assessment of software solutions for the analysis of mass spectrometry based quantitative proteomics data. , 2008, Journal of proteome research.

[33]  Wen-Lian Hsu,et al.  Multi-Q: a fully automated tool for multiplexed protein quantitation. , 2006, Journal of proteome research.

[34]  Knut Reinert,et al.  TOPP - the OpenMS proteomics pipeline , 2007, Bioinform..

[35]  K. Gevaert,et al.  Global differential non-gel proteomics by quantitative and stable labeling of tryptic peptides with oxygen-18. , 2004, Journal of proteome research.

[36]  R. Aebersold,et al.  Mass spectrometry-based proteomics , 2003, Nature.

[37]  M. Mann,et al.  Exponentially Modified Protein Abundance Index (emPAI) for Estimation of Absolute Protein Amount in Proteomics by the Number of Sequenced Peptides per Protein*S , 2005, Molecular & Cellular Proteomics.

[38]  Lukas N. Mueller,et al.  SuperHirn – a novel tool for high resolution LC‐MS‐based peptide/protein profiling , 2007, Proteomics.

[39]  Thomas A Neubert,et al.  Automated Comparative Proteomics Based on Multiplex Tandem Mass Spectrometry and Stable Isotope Labeling * , 2006, Molecular & Cellular Proteomics.

[40]  M. Mann,et al.  MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification , 2008, Nature Biotechnology.

[41]  Waltraud X. Schulze,et al.  A Novel Proteomic Screen for Peptide-Protein Interactions* , 2004, Journal of Biological Chemistry.

[42]  L Moller,et al.  "A la carte". , 2021, Nursing mirror and midwives journal.

[43]  F. McLafferty,et al.  High-resolution electrospray mass spectra of large molecules , 1991 .

[44]  F. McLafferty,et al.  Automated reduction and interpretation of , 2000, Journal of the American Society for Mass Spectrometry.

[45]  Matej Oresic,et al.  MZmine: toolbox for processing and visualization of mass spectrometry based molecular profile data , 2006, Bioinform..

[46]  John D. Venable,et al.  Automated approach for quantitative analysis of complex peptide mixtures from tandem mass spectra , 2004, Nature Methods.

[47]  Robert E. Kearney,et al.  A HUPO test sample study reveals common problems in mass spectrometry-based proteomics , 2009, Nature Methods.

[48]  R. Aebersold,et al.  Selected reaction monitoring for quantitative proteomics: a tutorial , 2008, Molecular systems biology.

[49]  Navdeep Jaitly,et al.  VIPER: an advanced software package to support high-throughput LC-MS peptide identification , 2007, Bioinform..

[50]  J. Miller,et al.  The effects of shared peptides on protein quantitation in label-free proteomics by LC/MS/MS. , 2008, Journal of proteome research.

[51]  M. Gorenstein,et al.  Quantitative proteomic analysis by accurate mass retention time pairs. , 2005, Analytical chemistry.

[52]  M. Mann,et al.  A practical recipe for stable isotope labeling by amino acids in cell culture (SILAC) , 2006, Nature Protocols.

[53]  Michael Olivier,et al.  ZoomQuant: An application for the quantitation of stable isotope labeled peptides , 2005, Journal of the American Society for Mass Spectrometry.

[54]  Knut Reinert,et al.  OpenMS – An open-source software framework for mass spectrometry , 2008, BMC Bioinformatics.

[55]  T. Shaler,et al.  Quantification of proteins and metabolites by mass spectrometry without isotopic labeling or spiked standards. , 2003, Analytical chemistry.

[56]  S. Gygi,et al.  Absolute quantification of proteins and phosphoproteins from cell lysates by tandem MS , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[57]  C. Bessant,et al.  i-Tracker: For quantitative proteomics using iTRAQ™ , 2005, BMC Genomics.

[58]  E. Marchioni,et al.  Quantitative analysis of beta-sitosterol oxides induced in vegetable oils by natural sunlight, artificially generated light, and irradiation. , 2006, Journal of agricultural and food chemistry.

[59]  Robert J Beynon,et al.  Metabolic Labeling of Proteins for Proteomics* , 2005, Molecular & Cellular Proteomics.

[60]  Albert Sickmann,et al.  Precise protein quantification based on peptide quantification using iTRAQ™ , 2007, BMC Bioinformatics.