Literature DB >> 30758949

A Top-Down Proteomics Platform Coupling Serial Size Exclusion Chromatography and Fourier Transform Ion Cyclotron Resonance Mass Spectrometry.

Trisha Tucholski1,2, Samantha J Knott1,2, Bifan Chen1,2, Paige Pistono3, Ziqing Lin4, Ying Ge1,2,4.   

Abstract

Mass spectrometry (MS) based top-down proteomics provides rich information about proteoforms arising from combinatorial amino acid sequence variations and post-translational modifications (PTMs). Fourier transform ion cyclotron resonance (FT-ICR) MS affords ultrahigh resolving power and provides high-accuracy mass measurements, presenting a powerful tool for top-down MS characterization of proteoforms. However, the detection and characterization of large proteins from complex mixtures remain challenging due to the exponential decrease in S: N with increasing molecular weight (MW) and coeluting low-MW proteins; thus, size-based fractionation of complex protein mixtures prior to MS analysis is necessary. Here, we directly combine MS-compatible serial size exclusion chromatography (sSEC) fractionation with 12 T FT-ICR MS for targeted top-down characterization of proteins from complex mixtures extracted from human and swine heart tissue. Benefiting from the ultrahigh resolving power of FT-ICR, we isotopically resolved 31 distinct proteoforms (30-50 kDa) simultaneously in a single mass spectrum within a 100 m/ z window. Notably, within a 5 m/ z window, we obtained baseline isotopic resolution for 6 distinct large proteoforms (30-50 kDa). The ultrahigh resolving power of FT-ICR MS combined with sSEC fractionation enabled targeted top-down analysis of large proteoforms (>30 kDa) from the human heart proteome without extensive chromatographic separation or protein purification. Further separation of proteoforms inside the mass spectrometer (in-MS) allowed for isolation of individual proteoforms and targeted electron capture dissociation (ECD), yielding high sequence coverage. sSEC/FT-ICR ECD facilitated the identification and sequence characterization of important metabolic enzymes. This platform, which facilitates deep interrogation of proteoform primary structure, is highly tunable, allows for adjustment of MS and MS/MS parameters in real time, and can be utilized for a variety of complex protein mixtures.

Entities:  

Year:  2019        PMID: 30758949      PMCID: PMC6545233          DOI: 10.1021/acs.analchem.8b04082

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


  56 in total

1.  Mass measurement errors caused by 'local" frequency perturbations in FTICR mass spectrometry.

Authors:  Christophe Masselon; Aleksey V Tolmachev; Gordon A Anderson; Richard Harkewicz; Richard D Smith
Journal:  J Am Soc Mass Spectrom       Date:  2002-01       Impact factor: 3.109

2.  Top-down mass spectrometry of a 29-kDa protein for characterization of any posttranslational modification to within one residue.

Authors:  Siu Kwan Sze; Ying Ge; HanBin Oh; Fred W McLafferty
Journal:  Proc Natl Acad Sci U S A       Date:  2002-02-12       Impact factor: 11.205

3.  A new approach for plant proteomics: characterization of chloroplast proteins of Arabidopsis thaliana by top-down mass spectrometry.

Authors:  Vlad Zabrouskov; Lisa Giacomelli; Klaas J van Wijk; Fred W McLafferty
Journal:  Mol Cell Proteomics       Date:  2003-09-22       Impact factor: 5.911

4.  Peptide and protein sequence analysis by electron transfer dissociation mass spectrometry.

Authors:  John E P Syka; Joshua J Coon; Melanie J Schroeder; Jeffrey Shabanowitz; Donald F Hunt
Journal:  Proc Natl Acad Sci U S A       Date:  2004-06-21       Impact factor: 11.205

5.  Using size exclusion chromatography-RPLC and RPLC-CIEF as two-dimensional separation strategies for protein profiling.

Authors:  David C Simpson; Seonghee Ahn; Ljiljana Pasa-Tolic; Bogdan Bogdanov; Heather M Mottaz; Andrey N Vilkov; Gordon A Anderson; Mary S Lipton; Richard D Smith
Journal:  Electrophoresis       Date:  2006-07       Impact factor: 3.535

6.  Extending top-down mass spectrometry to proteins with masses greater than 200 kilodaltons.

Authors:  Xuemei Han; Mi Jin; Kathrin Breuker; Fred W McLafferty
Journal:  Science       Date:  2006-10-06       Impact factor: 47.728

7.  Top down characterization of larger proteins (45 kDa) by electron capture dissociation mass spectrometry.

Authors:  Ying Ge; Brian G Lawhorn; Mariam ElNaggar; Erick Strauss; Joo-Heon Park; Tadhg P Begley; Fred W McLafferty
Journal:  J Am Chem Soc       Date:  2002-01-30       Impact factor: 15.419

8.  Top down characterization of secreted proteins from Mycobacterium tuberculosis by electron capture dissociation mass spectrometry.

Authors:  Ying Ge; Mariam El-Naggar; Siu Kwan Sze; Han Bin Oh; Tadhg P Begley; Fred W McLafferty; Helena Boshoff; Clifton E Barry
Journal:  J Am Soc Mass Spectrom       Date:  2003-03       Impact factor: 3.109

Review 9.  Myoglobin: an essential hemoprotein in striated muscle.

Authors:  George A Ordway; Daniel J Garry
Journal:  J Exp Biol       Date:  2004-09       Impact factor: 3.312

10.  Release of heart fatty acid-binding protein into plasma after acute myocardial infarction in man.

Authors:  A H Kleine; J F Glatz; F A Van Nieuwenhoven; G J Van der Vusse
Journal:  Mol Cell Biochem       Date:  1992-10-21       Impact factor: 3.396

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  10 in total

Review 1.  High-throughput quantitative top-down proteomics.

Authors:  Kellye A Cupp-Sutton; Si Wu
Journal:  Mol Omics       Date:  2020-01-14

2.  Intact-Mass Analysis Facilitating the Identification of Large Human Heart Proteoforms.

Authors:  Leah V Schaffer; Trisha Tucholski; Michael R Shortreed; Ying Ge; Lloyd M Smith
Journal:  Anal Chem       Date:  2019-08-14       Impact factor: 6.986

3.  Size Exclusion Chromatography Strategies and MASH Explorer for Large Proteoform Characterization.

Authors:  Timothy N Tiambeng; Zhijie Wu; Jake A Melby; Ying Ge
Journal:  Methods Mol Biol       Date:  2022

Review 4.  Identification and Quantification of Proteoforms by Mass Spectrometry.

Authors:  Leah V Schaffer; Robert J Millikin; Rachel M Miller; Lissa C Anderson; Ryan T Fellers; Ying Ge; Neil L Kelleher; Richard D LeDuc; Xiaowen Liu; Samuel H Payne; Liangliang Sun; Paul M Thomas; Trisha Tucholski; Zhe Wang; Si Wu; Zhijie Wu; Dahang Yu; Michael R Shortreed; Lloyd M Smith
Journal:  Proteomics       Date:  2019-05       Impact factor: 3.984

5.  Proton Transfer Charge Reduction Enables High-Throughput Top-Down Analysis of Large Proteoforms.

Authors:  Romain Huguet; Christopher Mullen; Kristina Srzentić; Joseph B Greer; Ryan T Fellers; Vlad Zabrouskov; John E P Syka; Neil L Kelleher; Luca Fornelli
Journal:  Anal Chem       Date:  2019-11-22       Impact factor: 6.986

6.  Ion Activation Methods for Peptides and Proteins.

Authors:  Luis A Macias; Inês C Santos; Jennifer S Brodbelt
Journal:  Anal Chem       Date:  2019-11-12       Impact factor: 6.986

7.  Top-Down Proteomics of Endogenous Membrane Proteins Enabled by Cloud Point Enrichment and Multidimensional Liquid Chromatography-Mass Spectrometry.

Authors:  Kyle A Brown; Trisha Tucholski; Andrew J Alpert; Christian Eken; Lucas Wesemann; Andreas Kyrvasilis; Song Jin; Ying Ge
Journal:  Anal Chem       Date:  2020-11-24       Impact factor: 6.986

Review 8.  Fourier-transform ion cyclotron resonance mass spectrometry for characterizing proteoforms.

Authors:  Trisha Tucholski; Ying Ge
Journal:  Mass Spectrom Rev       Date:  2020-09-07       Impact factor: 10.946

Review 9.  Novel Strategies to Address the Challenges in Top-Down Proteomics.

Authors:  Jake A Melby; David S Roberts; Eli J Larson; Kyle A Brown; Elizabeth F Bayne; Song Jin; Ying Ge
Journal:  J Am Soc Mass Spectrom       Date:  2021-05-13       Impact factor: 3.109

10.  Capillary Zone Electrophoresis-Electron-Capture Collision-Induced Dissociation on a Quadrupole Time-of-Flight Mass Spectrometer for Top-Down Characterization of Intact Proteins.

Authors:  Xiaojing Shen; Tian Xu; Blake Hakkila; Mike Hare; Qianjie Wang; Qianyi Wang; Joseph S Beckman; Liangliang Sun
Journal:  J Am Soc Mass Spectrom       Date:  2021-03-22       Impact factor: 3.262

  10 in total

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