Rapid and Deep Human Proteome Analysis by Single-dimension Shotgun Proteomics*

Multiparameter optimization of an LC-MS/MS shotgun proteomics experiment was performed without any hardware or software modification of the commercial instrument. Under the optimized experimental conditions, with a 50-cm-long separation column and a 4-h LC-MS run (including a 3-h optimized gradient), 4,825 protein groups and 37,550 peptides were identified in a single run and 5,354 protein groups and 56,390 peptides in a triplicate analysis of the A375 human cell line, for approximately 50% coverage of the expressed proteome. The major steps enabling such performance included optimization of the cell lysis and protein extraction, digestion of even insoluble cell debris, tailoring the LC gradient profile, and choosing the optimal dynamic exclusion window in data-dependent MS/MS, as well as the optimal m/z scan window.

[1]  F. Marincola,et al.  Characterization of human melanoma cell lines and melanocytes by proteome analysis , 2011, Cell cycle.

[2]  M. Mann,et al.  Quantitative, high-resolution proteomics for data-driven systems biology. , 2011, Annual review of biochemistry.

[3]  Jürgen Cox,et al.  Expert System for Computer-assisted Annotation of MS/MS Spectra* , 2012, Molecular & Cellular Proteomics.

[4]  John R. Yates,et al.  The biological impact of mass-spectrometry-based proteomics , 2007, Nature.

[5]  M. Mann,et al.  Decoding signalling networks by mass spectrometry-based proteomics , 2010, Nature Reviews Molecular Cell Biology.

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

[7]  Alexander Makarov,et al.  Performance evaluation of a high-field orbitrap mass analyzer , 2009, Journal of the American Society for Mass Spectrometry.

[8]  M. Mann,et al.  Mass Spectrometry-based Proteomics Using Q Exactive, a High-performance Benchtop Quadrupole Orbitrap Mass Spectrometer* , 2011, Molecular & Cellular Proteomics.

[9]  M. Mann,et al.  Deep and Highly Sensitive Proteome Coverage by LC-MS/MS Without Prefractionation* , 2011, Molecular & Cellular Proteomics.

[10]  M. Mann,et al.  System-wide Perturbation Analysis with Nearly Complete Coverage of the Yeast Proteome by Single-shot Ultra HPLC Runs on a Bench Top Orbitrap* , 2011, Molecular & Cellular Proteomics.

[11]  S. P. Fodor,et al.  Large-Scale Transcriptional Activity in Chromosomes 21 and 22 , 2002, Science.

[12]  J. Moreb,et al.  The therapeutic potential of interleukin-1 and tumor necrosis factor on hematopoietic stem cells. , 1992, Leukemia & lymphoma.

[13]  Matthias Mann,et al.  Combination of FASP and StageTip-based fractionation allows in-depth analysis of the hippocampal membrane proteome. , 2009, Journal of proteome research.

[14]  J. Jorgenson,et al.  Ultrahigh-pressure reversed-phase liquid chromatography in packed capillary columns. , 1997, Analytical chemistry.

[15]  Matthias Mann,et al.  A Dual Pressure Linear Ion Trap Orbitrap Instrument with Very High Sequencing Speed* , 2009, Molecular & Cellular Proteomics.

[16]  M. Mann,et al.  Andromeda: a peptide search engine integrated into the MaxQuant environment. , 2011, Journal of proteome research.

[17]  Michael E. Swartz,et al.  UPLC™: An Introduction and Review , 2005 .

[18]  Matthias Mann,et al.  Use of stable isotope labeling by amino acids in cell culture as a spike-in standard in quantitative proteomics , 2011, Nature Protocols.

[19]  Martin Kircher,et al.  Deep proteome and transcriptome mapping of a human cancer cell line , 2011, Molecular systems biology.

[20]  C. Eyers Universal sample preparation method for proteome analysis , 2009 .

[21]  R. Whittal,et al.  Interferences and contaminants encountered in modern mass spectrometry. , 2008, Analytica chimica acta.

[22]  J. Ellenberg,et al.  The quantitative proteome of a human cell line , 2011, Molecular systems biology.

[23]  R. Zubarev The challenge of the proteome dynamic range and its implications for in‐depth proteomics , 2013, Proteomics.

[24]  Ronald J. Moore,et al.  Automated 20 kpsi RPLC-MS and MS/MS with chromatographic peak capacities of 1000-1500 and capabilities in proteomics and metabolomics. , 2005, Analytical chemistry.

[25]  S. Mohammed,et al.  In-house construction of a UHPLC system enabling the identification of over 4000 protein groups in a single analysis. , 2012, The Analyst.

[26]  T. Köcher,et al.  Ultra-high-pressure RPLC hyphenated to an LTQ-Orbitrap Velos reveals a linear relation between peak capacity and number of identified peptides. , 2011, Analytical chemistry.

[27]  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.

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

[29]  M. Selbach,et al.  Global quantification of mammalian gene expression control , 2011, Nature.

[30]  M. Mann,et al.  Comparative Proteomic Analysis of Eleven Common Cell Lines Reveals Ubiquitous but Varying Expression of Most Proteins* , 2012, Molecular & Cellular Proteomics.

[31]  J. Jorgenson,et al.  Ultrahigh-pressure reversed-phase capillary liquid chromatography: isocratic and gradient elution using columns packed with 1.0-micron particles. , 1999, Analytical chemistry.

[32]  M. Mann,et al.  Defining the transcriptome and proteome in three functionally different human cell lines , 2010, Molecular systems biology.