Comparison of fractionation proteomics for local SWATH library building

For data‐independent acquisition by means of sequential window acquisition of all theoretical fragment ion spectra (SWATH), a reference library of data‐dependent acquisition (DDA) runs is typically used to correlate the quantitative data from the fragment ion spectra with peptide identifications. The quality and coverage of such a reference library is therefore essential when processing SWATH data. In general, library sizes can be increased by reducing the impact of DDA precursor selection with replicate runs or fractionation. However, these strategies can affect the match between the library and SWATH measurement, and thus larger library sizes do not necessarily correspond to improved SWATH quantification. Here, three fractionation strategies to increase local library size were compared to standard library building using replicate DDA injection: protein SDS‐PAGE fractionation, peptide high‐pH RP‐HPLC fractionation and MS‐acquisition gas phase fractionation. The impact of these libraries on SWATH performance was evaluated in terms of the number of extracted peptides and proteins, the match quality of the peptides and the extraction reproducibility of the transitions. These analyses were conducted using the hydrophilic proteome of differentiating human embryonic stem cells. Our results show that SWATH quantitative results and interpretations are affected by choice of fractionation technique. Data are available via ProteomeXchange with identifier PXD006190.

[1]  Eric W. Deutsch,et al.  A repository of assays to quantify 10,000 human proteins by SWATH-MS , 2014, Scientific Data.

[2]  Nandini A. Sahasrabuddhe,et al.  Quantitative temporal proteomic analysis of human embryonic stem cell differentiation into oligodendrocyte progenitor cells , 2011, Proteomics.

[3]  Dhanashree S. Kelkar,et al.  Temporal analysis of neural differentiation using quantitative proteomics. , 2009, Journal of proteome research.

[4]  H. Baharvand,et al.  Quantitative Proteomic Analysis of Human Embryonic Stem Cell Differentiation by 8-Plex iTRAQ Labelling , 2012, PloS one.

[5]  G. Churchill,et al.  Characterization of human embryonic stem cell lines by the International Stem Cell Initiative , 2007, Nature Biotechnology.

[6]  Ying Zhang,et al.  The Use of Variable Q1 Isolation Windows Improves Selectivity in LC-SWATH-MS Acquisition. , 2015, Journal of proteome research.

[7]  Ludovic C. Gillet,et al.  Targeted Data Extraction of the MS/MS Spectra Generated by Data-independent Acquisition: A New Concept for Consistent and Accurate Proteome Analysis* , 2012, Molecular & Cellular Proteomics.

[8]  José A. Dianes,et al.  2016 update of the PRIDE database and its related tools , 2016, Nucleic Acids Res..

[9]  Yingying Wei,et al.  Joint analysis of differential gene expression in multiple studies using correlation motifs , 2013, Biostatistics.

[10]  Brendan MacLean,et al.  Building high-quality assay libraries for targeted analysis of SWATH MS data , 2015, Nature Protocols.

[11]  Kai Pong Law,et al.  Recent advances in mass spectrometry: data independent analysis and hyper reaction monitoring , 2013, Expert review of proteomics.

[12]  Jian Wang,et al.  MSPLIT-DIA: sensitive peptide identification for data-independent acquisition , 2015, Nature Methods.

[13]  U. K. Laemmli,et al.  Cleavage of Structural Proteins during the Assembly of the Head of Bacteriophage T4 , 1970, Nature.

[14]  Dieter Deforce,et al.  iTRAQ as a method for optimization: Enhancing peptide recovery after gel fractionation , 2014, Proteomics.

[15]  Bernhard Kuster,et al.  Quantitative mass spectrometry in proteomics: critical review update from 2007 to the present , 2012, Analytical and Bioanalytical Chemistry.

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

[17]  A. Pandey,et al.  Comparative proteomics of human embryonic stem cells and embryonal carcinoma cells , 2010, Proteomics.

[18]  M. Mann,et al.  More than 100,000 detectable peptide species elute in single shotgun proteomics runs but the majority is inaccessible to data-dependent LC-MS/MS. , 2011, Journal of proteome research.

[19]  M. Dhaenens,et al.  Phospho-iTRAQ: assessing isobaric labels for the large-scale study of phosphopeptide stoichiometry. , 2015, Journal of proteome research.

[20]  Quanhui Wang,et al.  Expansion of the ion library for mining SWATH-MS data through fractionation proteomics. , 2014, Analytical chemistry.

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

[22]  R. Olmsted The present. , 2010, American journal of infection control.

[23]  Dana Pascovici,et al.  SWATH Mass Spectrometry Performance Using Extended Peptide MS/MS Assay Libraries* , 2016, Molecular & Cellular Proteomics.

[24]  M. Dunn,et al.  Peptide fractionation in proteomics approaches , 2010, Expert review of proteomics.

[25]  Andrew R. Jones,et al.  ProteomeXchange provides globally co-ordinated proteomics data submission and dissemination , 2014, Nature Biotechnology.

[26]  Chih-Chiang Tsou,et al.  DIA-Umpire: comprehensive computational framework for data-independent acquisition proteomics , 2015, Nature Methods.

[27]  J. C. Tran,et al.  Intact proteome fractionation strategies compatible with mass spectrometry , 2011, Expert review of proteomics.

[28]  Ruedi Aebersold,et al.  Quantitative variability of 342 plasma proteins in a human twin population , 2015 .

[29]  Anna Bierczynska-Krzysik,et al.  Methods for samples preparation in proteomic research. , 2007, Journal of chromatography. B, Analytical technologies in the biomedical and life sciences.

[30]  Wenqing Shui,et al.  Optimization of Acquisition and Data-Processing Parameters for Improved Proteomic Quantification by Sequential Window Acquisition of All Theoretical Fragment Ion Mass Spectrometry. , 2017, Journal of proteome research.