Literature DB >> 30557026

Data-Independent Acquisition for the Orbitrap Q Exactive HF: A Tutorial.

Léon Reubsaet1,2, Michael J Sweredoski1, Annie Moradian1.   

Abstract

Data-independent acquisition (DIA) is a powerful mass spectrometric technique to perform both protein identification and quantification of complex protein samples. Setting up DIA methods on Orbitrap analyzers requires a thorough overview of the actions the Orbitrap mass spectrometers carry out. This Tutorial is written with the intention to give an overview of the important parameters to consider as well as which measurements to carry out to get the most out of your DIA method when setting it up on an Orbitrap mass analyzer. Instead of giving the optimal DIA settings, all steps in the construction and optimization of the DIA method are shown and discussed in a way that allows tailored DIA methods. They key steps are building the spectral library after sample fractionation, deciding upon the number of data points per chromatographic peak, determining the scan times of each mass spectrometric step, constructing various DIA methods using these data, and evaluating their performance. This proposed DIA method development strategy was tested on digested lysates from Pseudomonas aeruginosa and compared with conventional DDA analysis to put the DIA results into perspective.

Entities:  

Keywords:  Orbitrap mass analyzer; actual scan times; data-independent acquisition; method development strategy

Mesh:

Substances:

Year:  2019        PMID: 30557026     DOI: 10.1021/acs.jproteome.8b00845

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


  9 in total

1.  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

Review 2.  Quantitative Proteomics in Translational Absorption, Distribution, Metabolism, and Excretion and Precision Medicine.

Authors:  Deepak Ahire; Laken Kruger; Sheena Sharma; Vijaya Saradhi Mettu; Abdul Basit; Bhagwat Prasad
Journal:  Pharmacol Rev       Date:  2022-07       Impact factor: 18.923

3.  Integrated Chemical Interpretation and Network Pharmacology Analysis to Reveal the Anti-Liver Fibrosis Effect of Penthorum chinense.

Authors:  Zenan Du; Doudou Huang; Pengjie Shi; Zhiying Dong; Xiujuan Wang; Mengshuang Li; Wansheng Chen; Feng Zhang; Lianna Sun
Journal:  Front Pharmacol       Date:  2022-06-02       Impact factor: 5.988

4.  Novel circulating protein biomarkers for thyroid cancer determined through data-independent acquisition mass spectrometry.

Authors:  Dandan Li; Jie Wu; Zhongjuan Liu; Ling Qiu; Yimin Zhang
Journal:  PeerJ       Date:  2020-07-06       Impact factor: 2.984

5.  Comparative proteomics analysis for identifying the lipid metabolism related pathways in patients with Klippel-Feil syndrome.

Authors:  Ziquan Li; Cong Zhang; Bintao Qiu; Yuchen Niu; Ling Leng; Siyi Cai; Ye Tian; Terry Jianguo Zhang; Guixing Qiu; Nan Wu; Zhihong Wu; Yipeng Wang
Journal:  Ann Transl Med       Date:  2021-02

Review 6.  Proteomic characterization of the human lens and Cataractogenesis.

Authors:  Lee S Cantrell; Kevin L Schey
Journal:  Expert Rev Proteomics       Date:  2021-04-14       Impact factor: 4.250

7.  A circulating extracellular vesicles-based novel screening tool for colorectal cancer revealed by shotgun and data-independent acquisition mass spectrometry.

Authors:  Xi Zheng; Kailun Xu; Biting Zhou; Ting Chen; Yanqin Huang; Qilong Li; Fei Wen; Weiting Ge; Jian Wang; Shaojun Yu; Lifeng Sun; Liang Zhu; Wei Liu; Huanhuan Gao; Liang Yue; Xue Cai; Qiushi Zhang; Guan Ruan; Tiansheng Zhu; Zhicheng Wu; Yi Zhu; Yingkuan Shao; Tiannan Guo; Shu Zheng
Journal:  J Extracell Vesicles       Date:  2020-04-14

Review 8.  Review of Liquid Chromatography-Mass Spectrometry-Based Proteomic Analyses of Body Fluids to Diagnose Infectious Diseases.

Authors:  Hayoung Lee; Seung Il Kim
Journal:  Int J Mol Sci       Date:  2022-02-16       Impact factor: 5.923

9.  Targeted Microchip Capillary Electrophoresis-Orbitrap Mass Spectrometry Metabolomics to Monitor Ovarian Cancer Progression.

Authors:  Samyukta Sah; Sylvia R Yun; David A Gaul; Andro Botros; Eun Young Park; Olga Kim; Jaeyeon Kim; Facundo M Fernández
Journal:  Metabolites       Date:  2022-06-09
  9 in total

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