Literature DB >> 26302369

The Use of Variable Q1 Isolation Windows Improves Selectivity in LC-SWATH-MS Acquisition.

Ying Zhang1, Aivett Bilbao1,2, Tobias Bruderer1, Jeremy Luban3, Caterina Strambio-De-Castillia3, Frédérique Lisacek2,4, Gérard Hopfgartner1, Emmanuel Varesio1.   

Abstract

As tryptic peptides and metabolites are not equally distributed along the mass range, the probability of cross fragment ion interference is higher in certain windows when fixed Q1 SWATH windows are applied. We evaluated the benefits of utilizing variable Q1 SWATH windows with regards to selectivity improvement. Variable windows based on equalizing the distribution of either the precursor ion population (PIP) or the total ion current (TIC) within each window were generated by an in-house software, swathTUNER. These two variable Q1 SWATH window strategies outperformed, with respect to quantification and identification, the basic approach using a fixed window width (FIX) for proteomic profiling of human monocyte-derived dendritic cells (MDDCs). Thus, 13.8 and 8.4% additional peptide precursors, which resulted in 13.1 and 10.0% more proteins, were confidently identified by SWATH using the strategy PIP and TIC, respectively, in the MDDC proteomic sample. On the basis of the spectral library purity score, some improvement warranted by variable Q1 windows was also observed, albeit to a lesser extent, in the metabolomic profiling of human urine. We show that the novel concept of "scheduled SWATH" proposed here, which incorporates (i) variable isolation windows and (ii) precursor retention time segmentation further improves both peptide and metabolite identifications.

Entities:  

Keywords:  SWATH; metabolomics; proteomics; selectivity; variable Q1 window widths

Mesh:

Substances:

Year:  2015        PMID: 26302369     DOI: 10.1021/acs.jproteome.5b00543

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  37 in total

1.  Generation of High-Quality SWATH® Acquisition Data for Label-free Quantitative Proteomics Studies Using TripleTOF® Mass Spectrometers.

Authors:  Birgit Schilling; Bradford W Gibson; Christie L Hunter
Journal:  Methods Mol Biol       Date:  2017

Review 2.  The Skyline ecosystem: Informatics for quantitative mass spectrometry proteomics.

Authors:  Lindsay K Pino; Brian C Searle; James G Bollinger; Brook Nunn; Brendan MacLean; Michael J MacCoss
Journal:  Mass Spectrom Rev       Date:  2017-07-09       Impact factor: 10.946

3.  Acquiring and Analyzing Data Independent Acquisition Proteomics Experiments without Spectrum Libraries.

Authors:  Lindsay K Pino; Seth C Just; Michael J MacCoss; Brian C Searle
Journal:  Mol Cell Proteomics       Date:  2020-04-20       Impact factor: 5.911

4.  High-resolution MS/MS metabolomics by data-independent acquisition reveals urinary metabolic alteration in experimental colitis.

Authors:  Zhixiang Yan; Ting Li; Bin Wei; Panpan Wang; Jianbo Wan; Yitao Wang; Ru Yan
Journal:  Metabolomics       Date:  2019-04-30       Impact factor: 4.290

5.  Double genetic disruption of lactate dehydrogenases A and B is required to ablate the "Warburg effect" restricting tumor growth to oxidative metabolism.

Authors:  Maša Ždralević; Almut Brand; Lorenza Di Ianni; Katja Dettmer; Jörg Reinders; Katrin Singer; Katrin Peter; Annette Schnell; Christina Bruss; Sonja-Maria Decking; Gudrun Koehl; Blanca Felipe-Abrio; Jérôme Durivault; Pascale Bayer; Marie Evangelista; Thomas O'Brien; Peter J Oefner; Kathrin Renner; Jacques Pouysségur; Marina Kreutz
Journal:  J Biol Chem       Date:  2018-08-29       Impact factor: 5.157

6.  Regulation of UCP1 and Mitochondrial Metabolism in Brown Adipose Tissue by Reversible Succinylation.

Authors:  GuoXiao Wang; Jesse G Meyer; Weikang Cai; Samir Softic; Mengyao Ella Li; Eric Verdin; Christopher Newgard; Birgit Schilling; C Ronald Kahn
Journal:  Mol Cell       Date:  2019-04-15       Impact factor: 17.970

7.  Data-Independent Acquisition Mass Spectrometry-Based Deep Proteome Analysis for Hydrophobic Proteins from Dried Blood Spots Enriched by Sodium Carbonate Precipitation.

Authors:  Daisuke Nakajima; Osamu Ohara; Yusuke Kawashima
Journal:  Methods Mol Biol       Date:  2022

Review 8.  Clinical applications of quantitative proteomics using targeted and untargeted data-independent acquisition techniques.

Authors:  Jesse G Meyer; Birgit Schilling
Journal:  Expert Rev Proteomics       Date:  2017-05       Impact factor: 3.940

9.  Ranking Fragment Ions Based on Outlier Detection for Improved Label-Free Quantification in Data-Independent Acquisition LC-MS/MS.

Authors:  Aivett Bilbao; Ying Zhang; Emmanuel Varesio; Jeremy Luban; Caterina Strambio-De-Castillia; Frédérique Lisacek; Gérard Hopfgartner
Journal:  J Proteome Res       Date:  2015-10-14       Impact factor: 4.466

10.  SWATH Based Quantitative Proteomics Reveals Significant Lipid Metabolism in Early Myopic Guinea Pig Retina.

Authors:  Jingfang Bian; Ying-Hon Sze; Dennis Yan-Yin Tse; Chi-Ho To; Sally A McFadden; Carly Siu-Yin Lam; King-Kit Li; Thomas Chuen Lam
Journal:  Int J Mol Sci       Date:  2021-04-29       Impact factor: 5.923

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