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Melby JA, Brown KA, Gregorich ZR, Roberts DS, Chapman EA, Ehlers LE, Gao Z, Larson EJ, Jin Y, Lopez JR, Hartung J, Zhu Y, McIlwain SJ, Wang D, Guo W, Diffee GM, Ge Y. High sensitivity top-down proteomics captures single muscle cell heterogeneity in large proteoforms. Proc Natl Acad Sci U S A 2023; 120:e2222081120. [PMID: 37126723 PMCID: PMC10175728 DOI: 10.1073/pnas.2222081120] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Accepted: 04/05/2023] [Indexed: 05/03/2023] Open
Abstract
Single-cell proteomics has emerged as a powerful method to characterize cellular phenotypic heterogeneity and the cell-specific functional networks underlying biological processes. However, significant challenges remain in single-cell proteomics for the analysis of proteoforms arising from genetic mutations, alternative splicing, and post-translational modifications. Herein, we have developed a highly sensitive functionally integrated top-down proteomics method for the comprehensive analysis of proteoforms from single cells. We applied this method to single muscle fibers (SMFs) to resolve their heterogeneous functional and proteomic properties at the single-cell level. Notably, we have detected single-cell heterogeneity in large proteoforms (>200 kDa) from the SMFs. Using SMFs obtained from three functionally distinct muscles, we found fiber-to-fiber heterogeneity among the sarcomeric proteoforms which can be related to the functional heterogeneity. Importantly, we detected multiple isoforms of myosin heavy chain (~223 kDa), a motor protein that drives muscle contraction, with high reproducibility to enable the classification of individual fiber types. This study reveals single muscle cell heterogeneity in large proteoforms and establishes a direct relationship between sarcomeric proteoforms and muscle fiber types, highlighting the potential of top-down proteomics for uncovering the molecular underpinnings of cell-to-cell variation in complex systems.
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Affiliation(s)
- Jake A. Melby
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI53706
| | - Kyle A. Brown
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI53706
| | - Zachery R. Gregorich
- Department of Animal and Dairy Sciences, University of Wisconsin-Madison, Madison, WI53706
| | - David S. Roberts
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI53706
| | - Emily A. Chapman
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI53706
| | - Lauren E. Ehlers
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI53706
| | - Zhan Gao
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, WI53705
| | - Eli J. Larson
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI53706
| | - Yutong Jin
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI53706
| | - Justin R. Lopez
- Department of Kinesiology, University of Wisconsin-Madison, Madison, WI53706
| | - Jared Hartung
- Department of Kinesiology, University of Wisconsin-Madison, Madison, WI53706
| | - Yanlong Zhu
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, WI53705
- Human Proteomics Program, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI53705
| | - Sean J. McIlwain
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI53705
| | | | - Wei Guo
- Department of Animal and Dairy Sciences, University of Wisconsin-Madison, Madison, WI53706
| | - Gary M. Diffee
- Department of Kinesiology, University of Wisconsin-Madison, Madison, WI53706
| | - Ying Ge
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI53706
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, WI53705
- Human Proteomics Program, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI53705
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Aballo TJ, Roberts DS, Bayne EF, Zhu W, Walcott G, Mahmoud AI, Zhang J, Ge Y. Integrated proteomics reveals alterations in sarcomere composition and developmental processes during postnatal swine heart development. J Mol Cell Cardiol 2023; 176:33-40. [PMID: 36657638 PMCID: PMC10006350 DOI: 10.1016/j.yjmcc.2023.01.004] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 12/20/2022] [Accepted: 01/13/2023] [Indexed: 01/18/2023]
Abstract
The neonatal swine heart possesses an endogenous ability to regenerate injured myocardium through the proliferation of pre-existing cardiomyocyte (CM) populations. However, this regenerative capacity is lost shortly after birth. Normal postnatal developmental processes and the regenerative capacity of mammalian hearts are tightly linked, but not much is known about how the swine cardiac proteome changes throughout postnatal development. Herein, we integrated robust and quantitative targeted "top-down" and global "bottom-up" proteomic workflows to comprehensively define the dynamic landscape of the swine cardiac proteome throughout postnatal maturation. Using targeted top-down proteomics, we were able to identify significant alterations in sarcomere composition, providing new insight into the proteoform landscape of sarcomeres that can disassemble, a process necessary for productive CM proliferation. Furthermore, we quantified global changes in protein abundance using bottom-up proteomics, identified over 700 differentially expressed proteins throughout postnatal development, and mapped these proteins to changes in developmental and metabolic processes. We envision these results will help guide future investigations to comprehensively understand endogenous cardiac regeneration toward the development of novel therapeutic strategies for heart failure.
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Affiliation(s)
- Timothy J Aballo
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, WI 53705, USA; Molecular and Cellular Pharmacology Training Program, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - David S Roberts
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Elizabeth F Bayne
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Wuqiang Zhu
- Department of Cardiovascular Diseases, Mayo Clinic Arizona, Scottsdale, AZ 85259, USA
| | - Gregory Walcott
- Department of Biomedical Engineering, University of Alabama at Birmingham, Birmingham, AL 35205, USA
| | - Ahmed I Mahmoud
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Jianyi Zhang
- Department of Biomedical Engineering, University of Alabama at Birmingham, Birmingham, AL 35205, USA
| | - Ying Ge
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, WI 53705, USA; Department of Chemistry, University of Wisconsin-Madison, Madison, WI 53706, USA; Human Proteomics Program, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53705, USA.
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Demin DE, Stasevich EM, Murashko MM, Tkachenko EA, Uvarova AN, Schwartz AM. Full and D-BOX-Deficient PTTG1 Isoforms: Effects on Cell Proliferation. Mol Biol 2022. [DOI: 10.1134/s0026893322060061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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Tucholski T, Ge Y. Fourier-transform ion cyclotron resonance mass spectrometry for characterizing proteoforms. MASS SPECTROMETRY REVIEWS 2022; 41:158-177. [PMID: 32894796 PMCID: PMC7936991 DOI: 10.1002/mas.21653] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Revised: 08/26/2020] [Accepted: 08/26/2020] [Indexed: 05/05/2023]
Abstract
Proteoforms contribute functional diversity to the proteome and aberrant proteoforms levels have been implicated in biological dysfunction and disease. Fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR MS), with its ultrahigh mass-resolving power, mass accuracy, and versatile tandem MS capabilities, has empowered top-down, middle-down, and native MS-based approaches for characterizing proteoforms and their complexes in biological systems. Herein, we review the features which make FT-ICR MS uniquely suited for measuring proteoform mass with ultrahigh resolution and mass accuracy; obtaining in-depth proteoform sequence coverage with expansive tandem MS capabilities; and unambiguously identifying and localizing post-translational and noncovalent modifications. We highlight examples from our body of work in which we have quantified and comprehensively characterized proteoforms from cardiac and skeletal muscle to better understand conditions such as chronic heart failure, acute myocardial infarction, and sarcopenia. Structural characterization of monoclonal antibodies and their proteoforms by FT-ICR MS and emerging applications, such as native top-down FT-ICR MS and high-throughput top-down FT-ICR MS-based proteomics at 21 T, are also covered. Historically, the information gleaned from FT-ICR MS analyses have helped provide biological insights. We predict FT-ICR MS will continue to enable the study of proteoforms of increasing size from increasingly complex endogenous mixtures and facilitate the benchmarking of sensitive and specific assays for clinical diagnostics. © 2020 John Wiley & Sons Ltd. Mass Spec Rev.
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Affiliation(s)
- Trisha Tucholski
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, 53706
| | - Ying Ge
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, 53706
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, WI, 53706
- Human Proteomics Program, University of Wisconsin-Madison, Madison, WI, 53705
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Brown KA, Melby JA, Roberts DS, Ge Y. Top-down proteomics: challenges, innovations, and applications in basic and clinical research. Expert Rev Proteomics 2020; 17:719-733. [PMID: 33232185 PMCID: PMC7864889 DOI: 10.1080/14789450.2020.1855982] [Citation(s) in RCA: 62] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Accepted: 11/23/2020] [Indexed: 12/14/2022]
Abstract
Introduction- A better understanding of the underlying molecular mechanism of diseases is critical for developing more effective diagnostic tools and therapeutics toward precision medicine. However, many challenges remain to unravel the complex nature of diseases. Areas covered- Changes in protein isoform expression and post-translation modifications (PTMs) have gained recognition for their role in underlying disease mechanisms. Top-down mass spectrometry (MS)-based proteomics is increasingly recognized as an important method for the comprehensive characterization of proteoforms that arise from alternative splicing events and/or PTMs for basic and clinical research. Here, we review the challenges, technological innovations, and recent studies that utilize top-down proteomics to elucidate changes in the proteome with an emphasis on its use to study heart diseases. Expert opinion- Proteoform-resolved information can substantially contribute to the understanding of the molecular mechanisms underlying various diseases and for the identification of novel proteoform targets for better therapeutic development . Despite the challenges of sequencing intact proteins, top-down proteomics has enabled a wealth of information regarding protein isoform switching and changes in PTMs. Continuous developments in sample preparation, intact protein separation, and instrumentation for top-down MS have broadened its capabilities to characterize proteoforms from a range of samples on an increasingly global scale.
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Affiliation(s)
- Kyle A. Brown
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, United States
| | - Jake A. Melby
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, United States
| | - David S. Roberts
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, United States
| | - Ying Ge
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, United States
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, Wisconsin, United States
- Human Proteomics Program, University of Wisconsin-Madison, Madison, Wisconsin, United States
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Zenaidee MA, Lantz C, Perkins T, Jung W, Ogorzalek Loo RR, Loo JA. Internal Fragments Generated by Electron Ionization Dissociation Enhance Protein Top-Down Mass Spectrometry. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2020; 31:1896-1902. [PMID: 32799534 PMCID: PMC7485267 DOI: 10.1021/jasms.0c00160] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
Top-down proteomics by mass spectrometry (MS) involves the mass measurement of an intact protein followed by subsequent activation of the protein to generate product ions. Electron-based fragmentation methods like electron capture dissociation and electron transfer dissociation are widely used for these types of analyses. Recently, electron ionization dissociation (EID), which utilizes higher energy electrons (>20 eV) has been suggested to be more efficient for top-down protein fragmentation compared to other electron-based dissociation methods. Here, we demonstrate that the use of EID enhances protein fragmentation and subsequent detection of protein fragments. Protein product ions can form by either single cleavage events, resulting in terminal fragments containing the C-terminus or N-terminus of the protein, or by multiple cleavage events to give rise to internal fragments that include neither the C-terminus nor the N-terminus of the protein. Conventionally, internal fragments have been disregarded, as reliable assignments of these fragments were limited. Here, we demonstrate that internal fragments generated by EID can account for ∼20-40% of the mass spectral signals detected by top-down EID-MS experiments. By including internal fragments, the extent of the protein sequence that can be explained from a single tandem mass spectrum increases from ∼50 to ∼99% for 29 kDa carbonic anhydrase II and 8.6 kDa ubiquitin. When searching for internal fragments during data analysis, previously unassigned peaks can be readily and accurately assigned to confirm a given protein sequence and to enhance the utility of top-down protein sequencing experiments.
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Affiliation(s)
- Muhammad A. Zenaidee
- Department of Chemistry and Biochemistry, University of California-Los Angeles, Los Angeles, CA 90095
| | - Carter Lantz
- Department of Chemistry and Biochemistry, University of California-Los Angeles, Los Angeles, CA 90095
| | - Taylor Perkins
- Department of Chemistry and Biochemistry, University of California-Los Angeles, Los Angeles, CA 90095
| | - Wonhyuek Jung
- Department of Chemistry and Biochemistry, University of California-Los Angeles, Los Angeles, CA 90095
| | - Rachel R. Ogorzalek Loo
- Department of Biological Chemistry, University of California-Los Angeles, Los Angeles, CA 90095
| | - Joseph A. Loo
- Department of Chemistry and Biochemistry, University of California-Los Angeles, Los Angeles, CA 90095
- Department of Biological Chemistry, University of California-Los Angeles, Los Angeles, CA 90095
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Jin Y, Diffee GM, Colman RJ, Anderson RM, Ge Y. Top-down Mass Spectrometry of Sarcomeric Protein Post-translational Modifications from Non-human Primate Skeletal Muscle. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2019; 30:2460-2469. [PMID: 30834509 PMCID: PMC6722035 DOI: 10.1007/s13361-019-02139-0] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2018] [Revised: 01/11/2019] [Accepted: 01/12/2019] [Indexed: 05/22/2023]
Abstract
Sarcomeric proteins, including myofilament and Z-disk proteins, play critical roles in regulating muscle contractile properties. A variety of isoforms and post-translational modifications (PTMs) of sarcomeric proteins have been shown to be associated with modulation of muscle functions and the occurrence of muscle diseases. Non-human primates (NHPs) are excellent research models for sarcopenia, a disease associated with alterations in sarcomeric proteins, due to their marked similarities to humans. However, the sarcomeric proteins in NHP skeletal muscle have not been well characterized. To gain a deeper understanding of sarcomeric proteins in NHP skeletal muscle, we employed top-down mass spectrometry (MS) to conduct a comprehensive analysis on isoforms and PTMs of sarcomeric proteins in rhesus macaque skeletal muscle. We identified 23 protein isoforms with 46 proteoforms of sarcomeric proteins, including 6 isoforms with 18 proteoforms from fast skeletal troponin T. Particularly, for the first time, a novel PDZ/LIM domain protein isoform, PDLIM7, was characterized with a newly identified protein sequence. Moreover, we also identified multiple PTMs on these proteins, including deamidation, methylation, acetylation, tri-methylation, phosphorylation, and S-glutathionylation. Most PTM sites were localized, including Asn13 deamidation on MLC-2S; His73 methylation on αactin; N-terminal acetylation on most identified proteins; N-terminal tri-methylation on MLC-1S, MLC-1F, MLC-2S, and MLC-2F; Ser14 phosphorylation on MLC-2S; and Ser15 and Ser16 phosphorylation on MLC-2F. In summary, a comprehensive characterization of sarcomeric proteins including multiple isoforms and PTMs in NHP skeletal muscle was achieved by analyzing intact proteins in the top-down MS approach.
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Affiliation(s)
- Yutong Jin
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | - Gary M Diffee
- Department of Kinesiology, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | - Ricki J Colman
- Wisconsin National Primate Research Center, University of Wisconsin-Madison, Madison, WI, 53715, USA
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Rozalyn M Anderson
- Department of Medicine, University of Wisconsin-Madison, Madison, WI, 53705, USA
- Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, Madison, WI, 53705, USA
| | - Ying Ge
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, 53706, USA.
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, WI, 53705, USA.
- Human Proteomics Program, University of Wisconsin-Madison, Madison, WI, 53705, USA.
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Melby JA, Jin Y, Lin Z, Tucholski T, Wu Z, Gregorich ZR, Diffee GM, Ge Y. Top-Down Proteomics Reveals Myofilament Proteoform Heterogeneity among Various Rat Skeletal Muscle Tissues. J Proteome Res 2019; 19:446-454. [PMID: 31647247 DOI: 10.1021/acs.jproteome.9b00623] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Heterogeneity in skeletal muscle contraction time, peak power output, and resistance to fatigue, among others, is necessary to accommodate the wide range of functional demands imposed on the body. Underlying this functional heterogeneity are a myriad of differences in the myofilament protein isoform expression and post-translational modifications; yet, characterizing this heterogeneity remains challenging. Herein, we have utilized top-down liquid chromatography (LC)-mass spectrometry (MS)-based proteomics to characterize myofilament proteoform heterogeneity in seven rat skeletal muscle tissues including vastus lateralis, vastus medialis, vastus intermedius, rectus femoris, soleus, gastrocnemius, and plantaris. Top-down proteomics revealed that myofilament proteoforms varied greatly across the seven different rat skeletal muscle tissues. Subsequently, we quantified and characterized myofilament proteoforms using online LC-MS. We have comprehensively characterized the fast and slow skeletal troponin I isoforms, which demonstrates the ability of top-down MS to decipher isoforms with high sequence homology. Taken together, we have shown that top-down proteomics can be used as a robust and high-throughput method to characterize the molecular heterogeneity of myofilament proteoforms from various skeletal muscle tissues.
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Abstract
The cardiac troponin complex, composed of three regulatory proteins (cTnI, cTnT, TnC), functions as the critical regulator of cardiac muscle contraction and relaxation. Myofilament protein-protein interactions are regulated by post-translational modifications (PTMs) to the protein constituents of this complex. Dysregulation of troponin PTMs, particularly phosphorylation, results in altered cardiac contractility. Altered PTMs and isoforms have been increasingly recognized as the molecular mechanisms underlying heart diseases. Therefore, it is essential to comprehensively analyze cardiac troponin proteoforms that arise from PTMs, alternative splicing, and sequence variations. In this chapter, we described two detailed protocols for the enrichment and purification of endogenous cardiac troponin proteoforms from cardiac tissue. Subsequently, mass spectrometry (MS)-based top-down proteomics utilizing online liquid chromatography (LC)/quadrupole time-of-flight (Q-TOF) MS for separation, profiling, and quantification of the troponins was demonstrated. Characterization of troponin amino acid sequence and the localization of PTMs were shown using Fourier-transform ion cyclotron resonance (FT-ICR) MS with electron capture dissociation (ECD) and collisionally activated dissociation (CAD). Furthermore, we described the use of MASH software, a comprehensive and free software package developed in our lab, for top-down proteomics data analysis. The methods we described can be applied for the analysis of troponin proteoforms in cardiac tissues, from animal models to human clinical samples, for heart disease.
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Schaffer LV, Millikin RJ, Miller RM, Anderson LC, Fellers RT, Ge Y, Kelleher NL, LeDuc RD, Liu X, Payne SH, Sun L, Thomas PM, Tucholski T, Wang Z, Wu S, Wu Z, Yu D, Shortreed MR, Smith LM. Identification and Quantification of Proteoforms by Mass Spectrometry. Proteomics 2019; 19:e1800361. [PMID: 31050378 PMCID: PMC6602557 DOI: 10.1002/pmic.201800361] [Citation(s) in RCA: 123] [Impact Index Per Article: 24.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2019] [Revised: 04/07/2019] [Indexed: 12/29/2022]
Abstract
A proteoform is a defined form of a protein derived from a given gene with a specific amino acid sequence and localized post-translational modifications. In top-down proteomic analyses, proteoforms are identified and quantified through mass spectrometric analysis of intact proteins. Recent technological developments have enabled comprehensive proteoform analyses in complex samples, and an increasing number of laboratories are adopting top-down proteomic workflows. In this review, some recent advances are outlined and current challenges and future directions for the field are discussed.
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Affiliation(s)
- Leah V. Schaffer
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
| | - Robert J. Millikin
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
| | - Rachel M. Miller
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
| | - Lissa C. Anderson
- Ion Cyclotron Resonance Program, National High Magnetic Field Laboratory, Tallahassee, Florida 32310, United States
| | - Ryan T. Fellers
- Proteomics Center of Excellence, Northwestern University, Evanston, Illinois 60208, United States
| | - Ying Ge
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
- Department of Cell and Regenerative Biology and Human Proteomics Program, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
| | - Neil L. Kelleher
- Proteomics Center of Excellence, Northwestern University, Evanston, Illinois 60208, United States
- Department of Chemistry and Molecular Biosciences and the Division of Hematology-Oncology, Northwestern University, Evanston, Illinois 60208, United States
| | - Richard D. LeDuc
- Proteomics Center of Excellence, Northwestern University, Evanston, Illinois 60208, United States
| | - Xiaowen Liu
- Department of BioHealth Informatics, Indiana University-Purdue University, Indianapolis, Indiana 46202, United States
- Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, Indiana 46202, United States
| | - Samuel H. Payne
- Department of Biology, Brigham Young University, Provo, UT 84602
| | - Liangliang Sun
- Department of Chemistry, Michigan State University, East Lansing, Michigan 48824, United States
| | - Paul M. Thomas
- Proteomics Center of Excellence, Northwestern University, Evanston, Illinois 60208, United States
| | - Trisha Tucholski
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
| | - Zhe Wang
- Department of Chemistry and Biochemistry, University of Oklahoma, Norman, Oklahoma 73019, United States
| | - Si Wu
- Department of Chemistry and Biochemistry, University of Oklahoma, Norman, Oklahoma 73019, United States
| | - Zhijie Wu
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
| | - Dahang Yu
- Department of Chemistry and Biochemistry, University of Oklahoma, Norman, Oklahoma 73019, United States
| | - Michael R. Shortreed
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
| | - Lloyd M. Smith
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
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Tucholski T, Knott SJ, Chen B, Pistono P, Lin Z, Ge Y. A Top-Down Proteomics Platform Coupling Serial Size Exclusion Chromatography and Fourier Transform Ion Cyclotron Resonance Mass Spectrometry. Anal Chem 2019; 91:3835-3844. [PMID: 30758949 DOI: 10.1021/acs.analchem.8b04082] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
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.
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Affiliation(s)
- Trisha Tucholski
- Department of Chemistry , University of Wisconsin-Madison , Madison , Wisconsin 53706 , United States.,Human Proteomics Program , University of Wisconsin-Madison , Madison , Wisconsin 53705 , United States
| | - Samantha J Knott
- Department of Chemistry , University of Wisconsin-Madison , Madison , Wisconsin 53706 , United States.,Human Proteomics Program , University of Wisconsin-Madison , Madison , Wisconsin 53705 , United States
| | - Bifan Chen
- Department of Chemistry , University of Wisconsin-Madison , Madison , Wisconsin 53706 , United States.,Human Proteomics Program , University of Wisconsin-Madison , Madison , Wisconsin 53705 , United States
| | - Paige Pistono
- Department of Biochemistry , University of Wisconsin-Madison , Madison , Wisconsin 53706 , United States
| | - Ziqing Lin
- Department of Cell and Regenerative Biology , University of Wisconsin-Madison , 1111 Highland Avenue , WIMR II 8551, Madison , Wisconsin 53705 , United States
| | - Ying Ge
- Department of Chemistry , University of Wisconsin-Madison , Madison , Wisconsin 53706 , United States.,Human Proteomics Program , University of Wisconsin-Madison , Madison , Wisconsin 53705 , United States.,Department of Cell and Regenerative Biology , University of Wisconsin-Madison , 1111 Highland Avenue , WIMR II 8551, Madison , Wisconsin 53705 , United States
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