Literature DB >> 20388904

Quantitative analysis of intact apolipoproteins in human HDL by top-down differential mass spectrometry.

Matthew T Mazur1, Helene L Cardasis, Daniel S Spellman, Andy Liaw, Nathan A Yates, Ronald C Hendrickson.   

Abstract

Top-down mass spectrometry holds tremendous potential for the characterization and quantification of intact proteins, including individual protein isoforms and specific posttranslationally modified forms. This technique does not require antibody reagents and thus offers a rapid path for assay development with increased specificity based on the amino acid sequence. Top-down MS is efficient whereby intact protein mass measurement, purification by mass separation, dissociation, and measurement of product ions with ppm mass accuracy occurs on the seconds to minutes time scale. Moreover, as the analysis is based on the accurate measurement of an intact protein, top-down mass spectrometry opens a research paradigm to perform quantitative analysis of "unknown" proteins that differ in accurate mass. As a proof of concept, we have applied differential mass spectrometry (dMS) to the top-down analysis of apolipoproteins isolated from human HDL(3). The protein species at 9415.45 Da demonstrates an average fold change of 4.7 (p-value 0.017) and was identified as an O-glycosylated form of apolipoprotein C-III [NANA-(2 --> 3)-Gal-beta(1 --> 3)-GalNAc, +656.2037 Da], a protein associated with coronary artery disease. This work demonstrates the utility of top-down dMS for quantitative analysis of intact protein mixtures and holds potential for facilitating a better understanding of HDL biology and complex biological systems at the protein level.

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Year:  2010        PMID: 20388904      PMCID: PMC2867874          DOI: 10.1073/pnas.0910776107

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  39 in total

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Journal:  Science       Date:  1999-05-21       Impact factor: 47.728

Review 2.  Decoding protein modifications using top-down mass spectrometry.

Authors:  Nertila Siuti; Neil L Kelleher
Journal:  Nat Methods       Date:  2007-10       Impact factor: 28.547

3.  Quantitative analysis of complex peptide mixtures using FTMS and differential mass spectrometry.

Authors:  Fanyu Meng; Matthew C Wiener; Jeffrey R Sachs; Chrissina Burns; Priyanka Verma; Cloud P Paweletz; Matthew T Mazur; Ekaterina G Deyanova; Nathan A Yates; Ronald C Hendrickson
Journal:  J Am Soc Mass Spectrom       Date:  2006-10-25       Impact factor: 3.109

4.  Apolipoprotein C-III, a strong discriminant of coronary risk in men and a determinant of the metabolic syndrome in both genders.

Authors:  Altan Onat; Gülay Hergenç; Vedat Sansoy; Manfred Fobker; Köksal Ceyhan; Sadik Toprak; Gerd Assmann
Journal:  Atherosclerosis       Date:  2003-05       Impact factor: 5.162

5.  O-glycoside biomarker of apolipoprotein C3: responsiveness to obesity, bariatric surgery, and therapy with metformin, to chronic or severe liver disease and to mortality in severe sepsis and graft vs host disease.

Authors:  Stephen B Harvey; Yan Zhang; Joshua Wilson-Grady; Teresa Monkkonen; Gary L Nelsestuen; Raj S Kasthuri; Michael R Verneris; Troy C Lund; E Wesley Ely; Gordon R Bernard; Harald Zeisler; Monika Homoncik; Bernd Jilma; Therese Swan; Todd A Kellogg
Journal:  J Proteome Res       Date:  2009-02       Impact factor: 4.466

6.  ABCA1 promotes the de novo biogenesis of apolipoprotein CIII-containing HDL particles in vivo and modulates the severity of apolipoprotein CIII-induced hypertriglyceridemia.

Authors:  Kyriakos E Kypreos
Journal:  Biochemistry       Date:  2008-09-04       Impact factor: 3.162

7.  Measurement of protein using bicinchoninic acid.

Authors:  P K Smith; R I Krohn; G T Hermanson; A K Mallia; F H Gartner; M D Provenzano; E K Fujimoto; N M Goeke; B J Olson; D C Klenk
Journal:  Anal Biochem       Date:  1985-10       Impact factor: 3.365

8.  Molecular cloning of a human apoC-III variant: Thr 74----Ala 74 mutation prevents O-glycosylation.

Authors:  H Maeda; R K Hashimoto; T Ogura; S Hiraga; H Uzawa
Journal:  J Lipid Res       Date:  1987-12       Impact factor: 5.922

9.  Discovery and identification of potential biomarkers of papillary thyroid carcinoma.

Authors:  Yuxia Fan; Linan Shi; Qiuliang Liu; Rui Dong; Qian Zhang; Shaobo Yang; Yingzhong Fan; Heying Yang; Peng Wu; Jiekai Yu; Shu Zheng; Fuquan Yang; Jiaxiang Wang
Journal:  Mol Cancer       Date:  2009-09-28       Impact factor: 27.401

10.  A proteomic view of the Plasmodium falciparum life cycle.

Authors:  Laurence Florens; Michael P Washburn; J Dale Raine; Robert M Anthony; Munira Grainger; J David Haynes; J Kathleen Moch; Nemone Muster; John B Sacci; David L Tabb; Adam A Witney; Dirk Wolters; Yimin Wu; Malcolm J Gardner; Anthony A Holder; Robert E Sinden; John R Yates; Daniel J Carucci
Journal:  Nature       Date:  2002-10-03       Impact factor: 49.962

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  37 in total

1.  MASH Suite Pro: A Comprehensive Software Tool for Top-Down Proteomics.

Authors:  Wenxuan Cai; Huseyin Guner; Zachery R Gregorich; Albert J Chen; Serife Ayaz-Guner; Ying Peng; Santosh G Valeja; Xiaowen Liu; Ying Ge
Journal:  Mol Cell Proteomics       Date:  2015-11-23       Impact factor: 5.911

2.  Discrimination of ischemic and hemorrhagic strokes using a multiplexed, mass spectrometry-based assay for serum apolipoproteins coupled to multi-marker ROC algorithm.

Authors:  Mary F Lopez; David A Sarracino; Amol Prakash; Michael Athanas; Bryan Krastins; Taha Rezai; Jennifer N Sutton; Scott Peterman; Oksana Gvozdyak; Sherry Chou; Eng Lo; Ferdinand Buonanno; MingMing Ning
Journal:  Proteomics Clin Appl       Date:  2012-04       Impact factor: 3.494

3.  Top-down quantitative proteomics identified phosphorylation of cardiac troponin I as a candidate biomarker for chronic heart failure.

Authors:  Jiang Zhang; Moltu J Guy; Holly S Norman; Yi-Chen Chen; Qingge Xu; Xintong Dong; Huseyin Guner; Sijian Wang; Takushi Kohmoto; Ken H Young; Richard L Moss; Ying Ge
Journal:  J Proteome Res       Date:  2011-07-28       Impact factor: 4.466

4.  SAA: a link between cholesterol efflux capacity and inflammation?

Authors:  Michael J Thomas; Mary G Sorci-Thomas
Journal:  J Lipid Res       Date:  2015-06-15       Impact factor: 5.922

Review 5.  Quantitative proteomic analysis of histone modifications.

Authors:  He Huang; Shu Lin; Benjamin A Garcia; Yingming Zhao
Journal:  Chem Rev       Date:  2015-02-17       Impact factor: 60.622

6.  Investigation of Ion Transmission Effects on Intact Protein Quantification in a Triple Quadrupole Mass Spectrometer.

Authors:  Evelyn H Wang; Dananjaya Kalu Appulage; Erin A McAllister; Kevin A Schug
Journal:  J Am Soc Mass Spectrom       Date:  2017-05-30       Impact factor: 3.109

7.  Simultaneous Quantification of Protein Expression and Modifications by Top-down Targeted Proteomics: A Case of the Sarcomeric Subproteome.

Authors:  Ziqing Lin; Liming Wei; Wenxuan Cai; Yanlong Zhu; Trisha Tucholski; Stanford D Mitchell; Wei Guo; Stephen P Ford; Gary M Diffee; Ying Ge
Journal:  Mol Cell Proteomics       Date:  2018-12-27       Impact factor: 5.911

Review 8.  Top Down proteomics: facts and perspectives.

Authors:  Adam D Catherman; Owen S Skinner; Neil L Kelleher
Journal:  Biochem Biophys Res Commun       Date:  2014-02-17       Impact factor: 3.575

9.  Multiple Reaction Monitoring for Direct Quantitation of Intact Proteins Using a Triple Quadrupole Mass Spectrometer.

Authors:  Evelyn H Wang; Peter C Combe; Kevin A Schug
Journal:  J Am Soc Mass Spectrom       Date:  2016-03-08       Impact factor: 3.109

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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