Literature DB >> 16448040

Top-down approaches for measuring expression ratios of intact yeast proteins using Fourier transform mass spectrometry.

Yi Du1, Bryan A Parks, Seyoung Sohn, Kurt E Kwast, Neil L Kelleher.   

Abstract

The extension of quantitation methods for small peptides to ions above 5 kDa, and eventually to global quantitative proteomics of intact proteins, will require extensive refinement of current analytical approaches. Here we evaluate postgrowth Cys-labeling and 14N/15N metabolic labeling strategies for determination of relative protein expression levels and their posttranslational modifications using top-down mass spectrometry (MS). We show that intact proteins that are differentially alkylated with acrylamide (+71 Da) versus iodoacetamide (+57 Da) have substantial chromatographic shifts during reversed-phase liquid chromatography separation (particularly in peak tails), indicating a requirement for stable isotopes in alkylation tags for top-down MS. In the 14N/15N metabolic labeling strategy, we achieve 98% 15N incorporation in yeast grown 10 generations under aerobic conditions and determine 50 expression ratios using Fourier transform ion cyclotron resonance MS in comparing these cells to anaerobically grown control (14N) cells. We devise quantitative methods for top-down analyses, including a correction factor for accurate protein ratio determination based upon the signal-to-noise ratio. Using a database of 200 yeast protein forms identified previously by top-down MS, we verify the intact mass tag concept for protein identification without tandem MS. Overall, we find that top-down MS promises work flows capable of large-scale proteome profiling using stable isotope labeling and the determination of >5 protein ratios per spectrum.

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Year:  2006        PMID: 16448040     DOI: 10.1021/ac050993p

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


  31 in total

1.  Optimization of mass spectrometry-compatible surfactants for shotgun proteomics.

Authors:  Emily I Chen; Daniel Cociorva; Jeremy L Norris; John R Yates
Journal:  J Proteome Res       Date:  2007-05-27       Impact factor: 4.466

2.  "Proteotyping": population proteomics of human leukocytes using top down mass spectrometry.

Authors:  Michael J Roth; Bryan A Parks; Jonathan T Ferguson; Michael T Boyne; Neil L Kelleher
Journal:  Anal Chem       Date:  2008-03-20       Impact factor: 6.986

3.  Reduction of axial kinetic energy induced perturbations on observed cyclotron frequency.

Authors:  Nathan K Kaiser; Chad R Weisbrod; Brian N Webb; James E Bruce
Journal:  J Am Soc Mass Spectrom       Date:  2008-01-06       Impact factor: 3.109

Review 4.  Methods and approaches for the comprehensive characterization and quantification of cellular proteomes using mass spectrometry.

Authors:  Shama P Mirza; Michael Olivier
Journal:  Physiol Genomics       Date:  2007-12-27       Impact factor: 3.107

5.  Quantitative proteomics by metabolic labeling of model organisms.

Authors:  Joost W Gouw; Jeroen Krijgsveld; Albert J R Heck
Journal:  Mol Cell Proteomics       Date:  2009-11-19       Impact factor: 5.911

6.  Top-down quantitation and characterization of SILAC-labeled proteins.

Authors:  Leonie F Waanders; Stefan Hanke; Matthias Mann
Journal:  J Am Soc Mass Spectrom       Date:  2007-09-08       Impact factor: 3.109

Review 7.  Analysis of intact protein isoforms by mass spectrometry.

Authors:  Jeremiah D Tipton; John C Tran; Adam D Catherman; Dorothy R Ahlf; Kenneth R Durbin; Neil L Kelleher
Journal:  J Biol Chem       Date:  2011-06-01       Impact factor: 5.157

8.  Comprehensive identification of peptides in tandem mass spectra using an efficient open search engine.

Authors:  Hao Chi; Chao Liu; Hao Yang; Wen-Feng Zeng; Long Wu; Wen-Jing Zhou; Rui-Min Wang; Xiu-Nan Niu; Yue-He Ding; Yao Zhang; Zhao-Wei Wang; Zhen-Lin Chen; Rui-Xiang Sun; Tao Liu; Guang-Ming Tan; Meng-Qiu Dong; Ping Xu; Pei-Heng Zhang; Si-Min He
Journal:  Nat Biotechnol       Date:  2018-10-08       Impact factor: 54.908

Review 9.  Top-down proteomics in health and disease: challenges and opportunities.

Authors:  Zachery R Gregorich; Ying Ge
Journal:  Proteomics       Date:  2014-05       Impact factor: 3.984

Review 10.  Top-down Proteomics: Technology Advancements and Applications to Heart Diseases.

Authors:  Wenxuan Cai; Trisha M Tucholski; Zachery R Gregorich; Ying Ge
Journal:  Expert Rev Proteomics       Date:  2016-07-26       Impact factor: 3.940

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