A Standardized and Reproducible Proteomics Protocol for Bottom-Up Quantitative Analysis of Protein Samples Using SP3 and Mass Spectrometry.

The broad utility of mass spectrometry (MS) for investigating the proteomes of a diverse array of sample types has significantly expanded the use of this technology in biological studies. This widespread use has resulted in a substantial collection of protocols and acquisition approaches designed to obtain the highest-quality data for each experiment. As a result, distilling this information to develop a standard operating protocol for essential workflows, such as bottom-up quantitative shotgun whole proteome analysis, can be complex for users new to MS technology. Further complicating this matter, in-depth description of the methodological choices is seldom given in the literature. In this work, we describe a workflow for quantitative whole proteome analysis that is suitable for biomarker discovery, giving detailed consideration to important stages, including (1) cell lysis and protein cleanup using SP3 paramagnetic beads, (2) quantitative labeling, (3) offline peptide fractionation, (4) MS analysis, and (5) data analysis and interpretation. Special attention is paid to providing comprehensive details for all stages of this proteomics workflow to enhance transferability to external labs. The standardized protocol described here will provide a simplified resource to the proteomics community toward efficient adaptation of MS technology in proteomics studies.

[1]  Andreas Schmidt,et al.  Bioinformatic analysis of proteomics data , 2014, BMC Systems Biology.

[2]  Eystein Oveland,et al.  PeptideShaker enables reanalysis of MS-derived proteomics data sets , 2015, Nature Biotechnology.

[3]  Jeroen Krijgsveld,et al.  Ultrasensitive proteome analysis using paramagnetic bead technology , 2014, Molecular systems biology.

[4]  M. Senko,et al.  Novel parallelized quadrupole/linear ion trap/Orbitrap tribrid mass spectrometer improving proteome coverage and peptide identification rates. , 2013, Analytical chemistry.

[5]  Jeremy D O'Connell,et al.  Proteome-wide quantitative multiplexed profiling of protein expression: carbon-source dependency in Saccharomyces cerevisiae , 2015, Molecular biology of the cell.

[6]  Christopher S. Hughes,et al.  Evaluating the Characteristics of Reporter Ion Signal Acquired in the Orbitrap Analyzer for Isobaric Mass Tag Proteome Quantification Experiments. , 2017, Journal of proteome research.

[7]  Christopher S. Hughes,et al.  Investigating Acquisition Performance on the Orbitrap Fusion When Using Tandem MS/MS/MS Scanning with Isobaric Tags. , 2017, Journal of proteome research.

[8]  Birgit Schilling,et al.  Generation of High-Quality SWATH® Acquisition Data for Label-free Quantitative Proteomics Studies Using TripleTOF® Mass Spectrometers. , 2017, Methods in molecular biology.

[9]  A. Lamond,et al.  Multidimensional proteomics for cell biology , 2015, Nature Reviews Molecular Cell Biology.

[10]  Michael L. Gatza,et al.  Proteogenomics connects somatic mutations to signaling in breast cancer , 2016, Nature.

[11]  Ludovic C. Gillet,et al.  Mass Spectrometry Applied to Bottom-Up Proteomics: Entering the High-Throughput Era for Hypothesis Testing. , 2016, Annual review of analytical chemistry.

[12]  M. Mann,et al.  Mass spectrometry–based proteomics turns quantitative , 2005, Nature chemical biology.

[13]  Richard D. Smith,et al.  High-pH reversed-phase chromatography with fraction concatenation for 2D proteomic analysis , 2012, Expert review of proteomics.

[14]  Christopher S Hughes,et al.  Parsing and Quantification of Raw Orbitrap Mass Spectrometer Data Using RawQuant. , 2018, Journal of proteome research.

[15]  M. Mann,et al.  The Impact II, a Very High-Resolution Quadrupole Time-of-Flight Instrument (QTOF) for Deep Shotgun Proteomics* , 2015, Molecular & Cellular Proteomics.

[16]  Ruedi Aebersold,et al.  Options and considerations when selecting a quantitative proteomics strategy , 2010, Nature Biotechnology.

[17]  Alexey I Nesvizhskii,et al.  Analysis and validation of proteomic data generated by tandem mass spectrometry , 2007, Nature Methods.

[18]  Christopher S. Hughes,et al.  Extending the Compatibility of the SP3 Paramagnetic Bead Processing Approach for Proteomics. , 2018, Journal of proteome research.

[19]  B. Kuster,et al.  Peptide Level Turnover Measurements Enable the Study of Proteoform Dynamics * , 2018, Molecular & Cellular Proteomics.

[20]  Gregg B. Morin,et al.  Quantitative Profiling of Single Formalin Fixed Tumour Sections: proteomics for translational research , 2016, Scientific Reports.

[21]  Comparison of sample preparation techniques for large‐scale proteomics , 2017, Proteomics.

[22]  B. Simons,et al.  Performance characteristics of a new hybrid quadrupole time-of-flight tandem mass spectrometer (TripleTOF 5600). , 2011, Analytical chemistry.

[23]  3D HPLC-MS with Reversed-Phase Separation Functionality in All Three Dimensions for Large-Scale Bottom-Up Proteomics and Peptide Retention Data Collection. , 2016, Analytical chemistry.

[24]  Leigh A Weston,et al.  Comparison of bottom-up proteomic approaches for LC-MS analysis of complex proteomes. , 2013, Analytical methods : advancing methods and applications.

[25]  Donald S Kirkpatrick,et al.  A Biologist's Field Guide to Multiplexed Quantitative Proteomics , 2016, Molecular & Cellular Proteomics.

[26]  Lennart Martens,et al.  SearchGUI: An open‐source graphical user interface for simultaneous OMSSA and X!Tandem searches , 2011, Proteomics.

[27]  A. Makarov,et al.  Evolution of Orbitrap Mass Spectrometry Instrumentation. , 2015, Annual review of analytical chemistry.

[28]  J. Yates,et al.  Protein analysis by shotgun/bottom-up proteomics. , 2013, Chemical reviews.