Literature DB >> 30884231

Evaluating Chromatographic Approaches for the Quantitative Analysis of a Human Proteome on Orbitrap-Based Mass Spectrometry Systems.

Ying Zhang1, Zhihui Wen1, Michael P Washburn1,2, Laurence Florens1.   

Abstract

The Orbitrap is now a core component of several different instruments. However, evaluating the capabilities of each system is lacking in the field. Here, we compared the performance of multidimensional protein identification (MudPIT) on Velos Pro Orbitrap and Velos Orbitrap Elite mass spectrometers to reversed phase liquid chromatography (RPLC) on a Q-Exactive Plus and an Orbitrap Fusion Lumos. Using HeLa cell protein digests, we carried out triplicate analyses of 16 different chromatography conditions on four different instrumentation platforms. We first optimized RPLC conditions by varying column lengths, inner diameters, and particle sizes. We found that smaller particle sizes improve results but only with smaller inner diameter microcapillary columns. We then selected one chromatography condition on each system and varied gradient lengths. We used distributed normalized spectral abundance factor (dNSAF) values to determine quantitative reproducibility. With Pearson product-moment correlation coefficient r values routinely above 0.96, single RPLC on both the QE+ and Orbitrap Lumos outperformed MudPIT on the Orbitrap Elite mass spectrometer. In addition, when comparing dNSAF values measured for the same proteins across the different platforms, RPLC on the Orbitrap Lumos had greater sensitivity than MudPIT, as demonstrated by the detection and quantification of histone deacetylase complex components. Data are available via ProteomeXchange with identifier 10.6019/PXD009875.

Entities:  

Keywords:  Orbitrap; Orbitrap Fusion Lumos; Pearson product-moment correlation coefficient; Q-Exactive; distributed normalized spectral abundance factor; human; liquid chromatography; multidimensional protein identification technology; quantitative proteomics; reproducibility

Mesh:

Substances:

Year:  2019        PMID: 30884231      PMCID: PMC6839767          DOI: 10.1021/acs.jproteome.9b00036

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


  39 in total

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Authors:  Richard H Perry; R Graham Cooks; Robert J Noll
Journal:  Mass Spectrom Rev       Date:  2008 Nov-Dec       Impact factor: 10.946

Review 2.  Evolution of Orbitrap Mass Spectrometry Instrumentation.

Authors:  Shannon Eliuk; Alexander Makarov
Journal:  Annu Rev Anal Chem (Palo Alto Calif)       Date:  2015       Impact factor: 10.745

3.  Evaluation of Parameters for Confident Phosphorylation Site Localization Using an Orbitrap Fusion Tribrid Mass Spectrometer.

Authors:  Samantha Ferries; Simon Perkins; Philip J Brownridge; Amy Campbell; Patrick A Eyers; Andrew R Jones; Claire E Eyers
Journal:  J Proteome Res       Date:  2017-08-11       Impact factor: 4.466

4.  Comparison of the LTQ-Orbitrap Velos and the Q-Exactive for proteomic analysis of 1-1000 ng RAW 264.7 cell lysate digests.

Authors:  Liangliang Sun; Guijie Zhu; Norman J Dovichi
Journal:  Rapid Commun Mass Spectrom       Date:  2013-01-15       Impact factor: 2.419

5.  Influence of NanoLC Column and Gradient Length as well as MS/MS Frequency and Sample Complexity on Shotgun Protein Identification of Marine Bacteria.

Authors:  Lars Wöhlbrand; Ralf Rabus; Bernd Blasius; Christoph Feenders
Journal:  J Mol Microbiol Biotechnol       Date:  2017-08-30

6.  Performance Evaluation of the Q Exactive HF-X for Shotgun Proteomics.

Authors:  Christian D Kelstrup; Dorte B Bekker-Jensen; Tabiwang N Arrey; Alexander Hogrebe; Alexander Harder; Jesper V Olsen
Journal:  J Proteome Res       Date:  2017-12-20       Impact factor: 4.466

7.  Evaluation of the High-Field Orbitrap Fusion for Compound Annotation in Metabolomics.

Authors:  Pierre Barbier Saint Hilaire; Ulli M Hohenester; Benoit Colsch; Jean-Claude Tabet; Christophe Junot; François Fenaille
Journal:  Anal Chem       Date:  2018-02-19       Impact factor: 6.986

8.  The ProteomeXchange consortium in 2017: supporting the cultural change in proteomics public data deposition.

Authors:  Eric W Deutsch; Attila Csordas; Zhi Sun; Andrew Jarnuczak; Yasset Perez-Riverol; Tobias Ternent; David S Campbell; Manuel Bernal-Llinares; Shujiro Okuda; Shin Kawano; Robert L Moritz; Jeremy J Carver; Mingxun Wang; Yasushi Ishihama; Nuno Bandeira; Henning Hermjakob; Juan Antonio Vizcaíno
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9.  An Optimized Shotgun Strategy for the Rapid Generation of Comprehensive Human Proteomes.

Authors:  Dorte B Bekker-Jensen; Christian D Kelstrup; Tanveer S Batth; Sara C Larsen; Christa Haldrup; Jesper B Bramsen; Karina D Sørensen; Søren Høyer; Torben F Ørntoft; Claus L Andersen; Michael L Nielsen; Jesper V Olsen
Journal:  Cell Syst       Date:  2017-06-07       Impact factor: 10.304

10.  ProteomeXchange provides globally coordinated proteomics data submission and dissemination.

Authors:  Juan A Vizcaíno; Eric W Deutsch; Rui Wang; Attila Csordas; Florian Reisinger; Daniel Ríos; José A Dianes; Zhi Sun; Terry Farrah; Nuno Bandeira; Pierre-Alain Binz; Ioannis Xenarios; Martin Eisenacher; Gerhard Mayer; Laurent Gatto; Alex Campos; Robert J Chalkley; Hans-Joachim Kraus; Juan Pablo Albar; Salvador Martinez-Bartolomé; Rolf Apweiler; Gilbert S Omenn; Lennart Martens; Andrew R Jones; Henning Hermjakob
Journal:  Nat Biotechnol       Date:  2014-03       Impact factor: 54.908

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  2 in total

1.  Dynamic RNA acetylation revealed by quantitative cross-evolutionary mapping.

Authors:  Aldema Sas-Chen; Justin M Thomas; Donna Matzov; Masato Taoka; Kellie D Nance; Ronit Nir; Keri M Bryson; Ran Shachar; Geraldy L S Liman; Brett W Burkhart; Supuni Thalalla Gamage; Yuko Nobe; Chloe A Briney; Michaella J Levy; Ryan T Fuchs; G Brett Robb; Jesse Hartmann; Sunny Sharma; Qishan Lin; Laurence Florens; Michael P Washburn; Toshiaki Isobe; Thomas J Santangelo; Moran Shalev-Benami; Jordan L Meier; Schraga Schwartz
Journal:  Nature       Date:  2020-06-17       Impact factor: 49.962

2.  In silico spectral libraries by deep learning facilitate data-independent acquisition proteomics.

Authors:  Yi Yang; Xiaohui Liu; Chengpin Shen; Yu Lin; Pengyuan Yang; Liang Qiao
Journal:  Nat Commun       Date:  2020-01-09       Impact factor: 14.919

  2 in total

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