Literature DB >> 25560523

SWATH enables precise label-free quantification on proteome scale.

Qiang Huang1, Lu Yang, Ji Luo, Lin Guo, Zhiyuan Wang, Xiangyun Yang, Wenhai Jin, Yanshan Fang, Juanying Ye, Bing Shan, Yaoyang Zhang.   

Abstract

MS-based proteomics has emerged as a powerful tool in biological studies. The shotgun proteomics strategy, in which proteolytic peptides are analyzed in data-dependent mode, enables a detection of the most comprehensive proteome (>10 000 proteins from whole-cell lysate). The quantitative proteomics uses stable isotopes or label-free method to measure relative protein abundance. The isotope labeling strategies are more precise and accurate compared to label-free methods, but labeling procedures are complicated and expensive, and the sample number and types are also limited. Sequential window acquisition of all theoretical mass spectra (SWATH) is a recently developed technique, in which data-independent acquisition is coupled with peptide spectral library match. In principle SWATH method is able to do label-free quantification in an MRM-like manner, which has higher quantification accuracy and precision. Previous data have demonstrated that SWATH can be used to quantify less complex systems, such as spiked-in peptide mixture or protein complex. Our study first time assessed the quantification performance of SWATH method on proteome scale using a complex mouse-cell lysate sample. In total 3600 proteins got identified and quantified without sample prefractionation. The SWATH method shows outstanding quantification precision, whereas the quantification accuracy becomes less perfect when protein abundances differ greatly. However, this inaccuracy does not prevent discovering biological correlates, because the measured signal intensities had linear relationship to the sample loading amounts; thus the SWATH method can predict precisely the significance of a protein. Our results prove that SWATH can provide precise label-free quantification on proteome scale.
© 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Label-free; Mass spectrometry; SWATH; Technology

Mesh:

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Year:  2015        PMID: 25560523     DOI: 10.1002/pmic.201400270

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  41 in total

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Authors:  Jing Tang; Jianbo Fu; Yunxia Wang; Yongchao Luo; Qingxia Yang; Bo Li; Gao Tu; Jiajun Hong; Xuejiao Cui; Yuzong Chen; Lixia Yao; Weiwei Xue; Feng Zhu
Journal:  Mol Cell Proteomics       Date:  2019-05-16       Impact factor: 5.911

2.  A modular and adaptive mass spectrometry-based platform for support of bioprocess development toward optimal host cell protein clearance.

Authors:  Donald E Walker; Feng Yang; Joseph Carver; Koman Joe; David A Michels; X Christopher Yu
Journal:  MAbs       Date:  2017-03-27       Impact factor: 5.857

3.  Label-free absolute protein quantification with data-independent acquisition.

Authors:  Bing He; Jian Shi; Xinwen Wang; Hui Jiang; Hao-Jie Zhu
Journal:  J Proteomics       Date:  2019-03-14       Impact factor: 4.044

4.  Comparative Proteomics Analysis of Human Liver Microsomes and S9 Fractions.

Authors:  Xinwen Wang; Bing He; Jian Shi; Qian Li; Hao-Jie Zhu
Journal:  Drug Metab Dispos       Date:  2019-11-07       Impact factor: 3.922

Review 5.  Algorithms and design strategies towards automated glycoproteomics analysis.

Authors:  Han Hu; Kshitij Khatri; Joseph Zaia
Journal:  Mass Spectrom Rev       Date:  2016-01-04       Impact factor: 10.946

6.  Multi-omic network-based interrogation of rat liver metabolism following gastric bypass surgery featuring SWATH proteomics.

Authors:  Gautham Vivek Sridharan; Matthew D'Alessandro; Shyam Sundhar Bale; Vicky Bhagat; Hugo Gagnon; John M Asara; Korkut Uygun; Martin L Yarmush; Nima Saeidi
Journal:  Technology (Singap World Sci)       Date:  2017-09-26

7.  ANPELA: analysis and performance assessment of the label-free quantification workflow for metaproteomic studies.

Authors:  Jing Tang; Jianbo Fu; Yunxia Wang; Bo Li; Yinghong Li; Qingxia Yang; Xuejiao Cui; Jiajun Hong; Xiaofeng Li; Yuzong Chen; Weiwei Xue; Feng Zhu
Journal:  Brief Bioinform       Date:  2020-03-23       Impact factor: 11.622

Review 8.  Regulation, Function, and Detection of Protein Acetylation in Bacteria.

Authors:  Valerie J Carabetta; Ileana M Cristea
Journal:  J Bacteriol       Date:  2017-07-25       Impact factor: 3.490

9.  Targeted proteomic assays for the verification of global proteomics insights.

Authors:  Stefani N Thomas; Hui Zhang
Journal:  Expert Rev Proteomics       Date:  2016-09-01       Impact factor: 3.940

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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