Literature DB >> 19572557

Precursor acquisition independent from ion count: how to dive deeper into the proteomics ocean.

Alexandre Panchaud1, Alexander Scherl, Scott A Shaffer, Priska D von Haller, Hemantha D Kulasekara, Samuel I Miller, David R Goodlett.   

Abstract

Data-dependent precursor ion selection is widely used in shotgun proteomics to profile the protein components of complex samples. Although very popular, this bottom-up method presents major drawbacks in terms of detectable dynamic range. Here, we demonstrate the superior performance of a data-independent method we term precursor acquisition independent from ion count (PAcIFIC). Our results show that almost the entire, predicted, soluble bacterial proteome can be thoroughly analyzed by PAcIFIC without the need for any sample fractionation other than the C18-based liquid chromatograph used to introduce the peptide mixture into the mass spectrometer. Importantly, we also show that PAcIFIC provides unique performance for analysis of human plasma in terms of the number of proteins identified (746 at FDR < or = 0.5%) and achieved dynamic range (8 orders of magnitude at FDR < or = 0.5%), without any fractionation other than immuno-depletion of the seven most abundant proteins.

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Year:  2009        PMID: 19572557      PMCID: PMC3086478          DOI: 10.1021/ac900888s

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  29 in total

1.  Towards defining the urinary proteome using liquid chromatography-tandem mass spectrometry. I. Profiling an unfractionated tryptic digest.

Authors:  C S Spahr; M T Davis; M D McGinley; J H Robinson; E J Bures; J Beierle; J Mort; P L Courchesne; K Chen; R C Wahl; W Yu; R Luethy; S D Patterson
Journal:  Proteomics       Date:  2001-01       Impact factor: 3.984

2.  A microcapillary trap cartridge-microcapillary high-performance liquid chromatography electrospray ionization emitter device capable of peptide tandem mass spectrometry at the attomole level on an ion trap mass spectrometer with automated routine operation.

Authors:  Eugene C Yi; Hookeun Lee; Ruedi Aebersold; David R Goodlett
Journal:  Rapid Commun Mass Spectrom       Date:  2003       Impact factor: 2.419

3.  Overview of the HUPO Plasma Proteome Project: results from the pilot phase with 35 collaborating laboratories and multiple analytical groups, generating a core dataset of 3020 proteins and a publicly-available database.

Authors:  Gilbert S Omenn; David J States; Marcin Adamski; Thomas W Blackwell; Rajasree Menon; Henning Hermjakob; Rolf Apweiler; Brian B Haab; Richard J Simpson; James S Eddes; Eugene A Kapp; Robert L Moritz; Daniel W Chan; Alex J Rai; Arie Admon; Ruedi Aebersold; Jimmy Eng; William S Hancock; Stanley A Hefta; Helmut Meyer; Young-Ki Paik; Jong-Shin Yoo; Peipei Ping; Joel Pounds; Joshua Adkins; Xiaohong Qian; Rong Wang; Valerie Wasinger; Chi Yue Wu; Xiaohang Zhao; Rong Zeng; Alexander Archakov; Akira Tsugita; Ilan Beer; Akhilesh Pandey; Michael Pisano; Philip Andrews; Harald Tammen; David W Speicher; Samir M Hanash
Journal:  Proteomics       Date:  2005-08       Impact factor: 3.984

4.  Structural heterogeneity and environmentally regulated remodeling of Francisella tularensis subspecies novicida lipid A characterized by tandem mass spectrometry.

Authors:  Scott A Shaffer; Megan D Harvey; David R Goodlett; Robert K Ernst
Journal:  J Am Soc Mass Spectrom       Date:  2007-03-28       Impact factor: 3.109

5.  Genome-specific gas-phase fractionation strategy for improved shotgun proteomic profiling of proteotypic peptides.

Authors:  Alexander Scherl; Scott A Shaffer; Gregory K Taylor; Hemantha D Kulasekara; Samuel I Miller; David R Goodlett
Journal:  Anal Chem       Date:  2008-01-23       Impact factor: 6.986

6.  A Qit-q-Tof mass spectrometer for two-dimensional tandem mass spectrometry.

Authors:  Houle Wang; David S Kennedy; Kerry D Nugent; Gregory K Taylor; David R Goodlett
Journal:  Rapid Commun Mass Spectrom       Date:  2007       Impact factor: 2.419

7.  Increasing information from shotgun proteomic data by accounting for misassigned precursor ion masses.

Authors:  Alexander Scherl; Yihsuan Shannon Tsai; Scott A Shaffer; David R Goodlett
Journal:  Proteomics       Date:  2008-07       Impact factor: 3.984

8.  On the benefits of acquiring peptide fragment ions at high measured mass accuracy.

Authors:  Alexander Scherl; Scott A Shaffer; Gregory K Taylor; Patricia Hernandez; Ron D Appel; Pierre-Alain Binz; David R Goodlett
Journal:  J Am Soc Mass Spectrom       Date:  2008-03-04       Impact factor: 3.109

9.  Direct analysis of protein complexes using mass spectrometry.

Authors:  A J Link; J Eng; D M Schieltz; E Carmack; G J Mize; D R Morris; B M Garvik; J R Yates
Journal:  Nat Biotechnol       Date:  1999-07       Impact factor: 54.908

10.  Challenges in deriving high-confidence protein identifications from data gathered by a HUPO plasma proteome collaborative study.

Authors:  David J States; Gilbert S Omenn; Thomas W Blackwell; Damian Fermin; Jimmy Eng; David W Speicher; Samir M Hanash
Journal:  Nat Biotechnol       Date:  2006-03       Impact factor: 54.908

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  76 in total

1.  Data-independent proteomic screen identifies novel tamoxifen agonist that mediates drug resistance.

Authors:  Shawna Mae Hengel; Euan Murray; Simon Langdon; Larry Hayward; Jean O'Donoghue; Alexandre Panchaud; Ted Hupp; David R Goodlett
Journal:  J Proteome Res       Date:  2011-09-21       Impact factor: 4.466

2.  Targeted data extraction of the MS/MS spectra generated by data-independent acquisition: a new concept for consistent and accurate proteome analysis.

Authors:  Ludovic C Gillet; Pedro Navarro; Stephen Tate; Hannes Röst; Nathalie Selevsek; Lukas Reiter; Ron Bonner; Ruedi Aebersold
Journal:  Mol Cell Proteomics       Date:  2012-01-18       Impact factor: 5.911

3.  A computational tool to detect and avoid redundancy in selected reaction monitoring.

Authors:  Hannes Röst; Lars Malmström; Ruedi Aebersold
Journal:  Mol Cell Proteomics       Date:  2012-04-24       Impact factor: 5.911

4.  Group-DIA: analyzing multiple data-independent acquisition mass spectrometry data files.

Authors:  Yuanyue Li; Chuan-Qi Zhong; Xiaozheng Xu; Shaowei Cai; Xiurong Wu; Yingying Zhang; Jinan Chen; Jianghong Shi; Shengcai Lin; Jiahuai Han
Journal:  Nat Methods       Date:  2015-12       Impact factor: 28.547

5.  Opening a SWATH Window on Posttranslational Modifications: Automated Pursuit of Modified Peptides.

Authors:  Andrew Keller; Samuel L Bader; Ulrike Kusebauch; David Shteynberg; Leroy Hood; Robert L Moritz
Journal:  Mol Cell Proteomics       Date:  2015-12-24       Impact factor: 5.911

6.  Accurate peptide fragment mass analysis: multiplexed peptide identification and quantification.

Authors:  Chad R Weisbrod; Jimmy K Eng; Michael R Hoopmann; Tahmina Baker; James E Bruce
Journal:  J Proteome Res       Date:  2012-02-21       Impact factor: 4.466

7.  Instant spectral assignment for advanced decision tree-driven mass spectrometry.

Authors:  Derek J Bailey; Christopher M Rose; Graeme C McAlister; Justin Brumbaugh; Pengzhi Yu; Craig D Wenger; Michael S Westphall; James A Thomson; Joshua J Coon
Journal:  Proc Natl Acad Sci U S A       Date:  2012-05-14       Impact factor: 11.205

8.  mapDIA: Preprocessing and statistical analysis of quantitative proteomics data from data independent acquisition mass spectrometry.

Authors:  Guoshou Teo; Sinae Kim; Chih-Chiang Tsou; Ben Collins; Anne-Claude Gingras; Alexey I Nesvizhskii; Hyungwon Choi
Journal:  J Proteomics       Date:  2015-09-15       Impact factor: 4.044

Review 9.  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

10.  Highly Multiplex Targeted Proteomics Enabled by Real-Time Chromatographic Alignment.

Authors:  Philip M Remes; Ping Yip; Michael J MacCoss
Journal:  Anal Chem       Date:  2020-08-12       Impact factor: 6.986

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