1
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Zhao Z, Guo Y, Chowdhury T, Anjum S, Li J, Huang L, Cupp-Sutton KA, Burgett A, Shi D, Wu S. Top-Down Proteomics Analysis of Picogram-Level Complex Samples Using Spray-Capillary-Based Capillary Electrophoresis-Mass Spectrometry. Anal Chem 2024; 96:8763-8771. [PMID: 38722793 DOI: 10.1021/acs.analchem.4c01119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Proteomics analysis of mass-limited samples has become increasingly important for understanding biological systems in physiologically relevant contexts such as patient samples, multicellular organoids, spheroids, and single cells. However, relatively low sensitivity in top-down proteomics methods makes their application to mass-limited samples challenging. Capillary electrophoresis (CE) has emerged as an ideal separation method for mass-limited samples due to its high separation resolution, ultralow detection limit, and minimal sample volume requirements. Recently, we developed "spray-capillary", an electrospray ionization (ESI)-assisted device, that is capable of quantitative ultralow-volume sampling (e.g., pL-nL level). Here, we developed a spray-capillary-CE-MS platform for ultrasensitive top-down proteomics analysis of intact proteins in mass-limited complex biological samples. Specifically, to improve the sensitivity of the spray-capillary platform, we incorporated a polyethylenimine (PEI)-coated capillary and optimized the spray-capillary inner diameter. Under optimized conditions, we successfully detected over 200 proteoforms from 50 pg of E. coli lysate. To our knowledge, the spray-capillary CE-MS platform developed here represents one of the most sensitive detection methods for top-down proteomics. Furthermore, in a proof-of-principle experiment, we detected 261 ± 65 and 174 ± 45 intact proteoforms from fewer than 50 HeLa and OVCAR-8 cells, respectively, by coupling nanodroplet-based sample preparation with our optimized CE-MS platform. Overall, our results demonstrate the capability of the modified spray-capillary CE-MS platform to perform top-down proteomics analysis on picogram amounts of samples. This advancement presents the possibility of meaningful top-down proteomics analysis of mass-limited samples down to the level of single mammalian cells.
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Affiliation(s)
- Zhitao Zhao
- Department of Chemistry and Biochemistry, University of Oklahoma, 101 Stephenson Parkway, Norman, Oklahoma 73019, United States
| | - Yanting Guo
- Department of Chemistry and Biochemistry, University of Oklahoma, 101 Stephenson Parkway, Norman, Oklahoma 73019, United States
| | - Trishika Chowdhury
- Department of Chemistry and Biochemistry, University of Alabama, 250 Hackberry Ln, Tuscaloosa, Alabama 35487, United States
| | - Samin Anjum
- Department of Chemistry and Biochemistry, University of Alabama, 250 Hackberry Ln, Tuscaloosa, Alabama 35487, United States
| | - Jiaxue Li
- Department of Chemistry and Biochemistry, University of Oklahoma, 101 Stephenson Parkway, Norman, Oklahoma 73019, United States
| | - Lushuang Huang
- Department of Chemistry and Biochemistry, University of Oklahoma, 101 Stephenson Parkway, Norman, Oklahoma 73019, United States
| | - Kellye A Cupp-Sutton
- Department of Chemistry and Biochemistry, University of Alabama, 250 Hackberry Ln, Tuscaloosa, Alabama 35487, United States
| | - Anthony Burgett
- Department of Pharmaceutical Sciences, University of Oklahoma Health Sciences, 1110 N. Stonewall Ave., Oklahoma City, Oklahoma 73117, United States
| | - Dingjing Shi
- Department of Psychology, University of Oklahoma, 455 W Lindsey Street, Norman, Oklahoma 73069, United States
| | - Si Wu
- Department of Chemistry and Biochemistry, University of Oklahoma, 101 Stephenson Parkway, Norman, Oklahoma 73019, United States
- Department of Chemistry and Biochemistry, University of Alabama, 250 Hackberry Ln, Tuscaloosa, Alabama 35487, United States
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2
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Sadeghi S, Chen W, Wang Q, Wang Q, Fang F, Liu X, Sun L. Pilot Evaluation of the Long-Term Reproducibility of Capillary Zone Electrophoresis-Tandem Mass Spectrometry for Top-Down Proteomics of a Complex Proteome Sample. J Proteome Res 2024; 23:1399-1407. [PMID: 38417052 PMCID: PMC11002928 DOI: 10.1021/acs.jproteome.3c00872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 02/09/2024] [Accepted: 02/14/2024] [Indexed: 03/01/2024]
Abstract
Mass spectrometry (MS)-based top-down proteomics (TDP) has revolutionized biological research by measuring intact proteoforms in cells, tissues, and biofluids. Capillary zone electrophoresis-tandem MS (CZE-MS/MS) is a valuable technique for TDP, offering a high peak capacity and sensitivity for proteoform separation and detection. However, the long-term reproducibility of CZE-MS/MS in TDP remains unstudied, which is a crucial aspect for large-scale studies. This work investigated the long-term qualitative and quantitative reproducibility of CZE-MS/MS for TDP for the first time, focusing on a yeast cell lysate. Over 1000 proteoforms were identified per run across 62 runs using one linear polyacrylamide (LPA)-coated separation capillary, highlighting the robustness of the CZE-MS/MS technique. However, substantial decreases in proteoform intensity and identification were observed after some initial runs due to proteoform adsorption onto the capillary inner wall. To address this issue, we developed an efficient capillary cleanup procedure using diluted ammonium hydroxide, achieving high qualitative and quantitative reproducibility for the yeast sample across at least 23 runs. The data underscore the capability of CZE-MS/MS for large-scale quantitative TDP of complex samples, signaling its readiness for deployment in broad biological applications. The MS RAW files were deposited in ProteomeXchange Consortium with the data set identifier of PXD046651.
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Affiliation(s)
- Seyed
Amirhossein Sadeghi
- Department
of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, Michigan 48824, United States
| | - Wenrong Chen
- Department
of BioHealth Informatics, Indiana University-Purdue
University Indianapolis, 535 W Michigan Street, Indianapolis, Indiana 46202, United States
| | - Qianyi Wang
- Department
of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, Michigan 48824, United States
| | - Qianjie Wang
- Department
of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, Michigan 48824, United States
| | - Fei Fang
- Department
of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, Michigan 48824, United States
| | - Xiaowen Liu
- Deming
Department of Medicine, School of Medicine, Tulane University, 1441 Canal Street, New Orleans, Louisiana 70112, United States
| | - Liangliang Sun
- Department
of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, Michigan 48824, United States
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3
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Po A, Eyers CE. Top-Down Proteomics and the Challenges of True Proteoform Characterization. J Proteome Res 2023; 22:3663-3675. [PMID: 37937372 PMCID: PMC10696603 DOI: 10.1021/acs.jproteome.3c00416] [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] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 10/09/2023] [Accepted: 10/20/2023] [Indexed: 11/09/2023]
Abstract
Top-down proteomics (TDP) aims to identify and profile intact protein forms (proteoforms) extracted from biological samples. True proteoform characterization requires that both the base protein sequence be defined and any mass shifts identified, ideally localizing their positions within the protein sequence. Being able to fully elucidate proteoform profiles lends insight into characterizing proteoform-unique roles, and is a crucial aspect of defining protein structure-function relationships and the specific roles of different (combinations of) protein modifications. However, defining and pinpointing protein post-translational modifications (PTMs) on intact proteins remains a challenge. Characterization of (heavily) modified proteins (>∼30 kDa) remains problematic, especially when they exist in a population of similarly modified, or kindred, proteoforms. This issue is compounded as the number of modifications increases, and thus the number of theoretical combinations. Here, we present our perspective on the challenges of analyzing kindred proteoform populations, focusing on annotation of protein modifications on an "average" protein. Furthermore, we discuss the technical requirements to obtain high quality fragmentation spectral data to robustly define site-specific PTMs, and the fact that this is tempered by the time requirements necessary to separate proteoforms in advance of mass spectrometry analysis.
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Affiliation(s)
- Allen Po
- Centre
for Proteome Research, Faculty of Health & Life Sciences, University of Liverpool, Liverpool L69 7ZB, U.K.
- Department
of Biochemistry, Cell & Systems Biology, Institute of Systems,
Molecular & Integrative Biology, Faculty of Health & Life
Sciences, University of Liverpool, Liverpool L69 7ZB, U.K.
| | - Claire E. Eyers
- Centre
for Proteome Research, Faculty of Health & Life Sciences, University of Liverpool, Liverpool L69 7ZB, U.K.
- Department
of Biochemistry, Cell & Systems Biology, Institute of Systems,
Molecular & Integrative Biology, Faculty of Health & Life
Sciences, University of Liverpool, Liverpool L69 7ZB, U.K.
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4
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Guo Y, Cupp‐Sutton KA, Zhao Z, Anjum S, Wu S. Multidimensional Separations in Top-Down Proteomics. ANALYTICAL SCIENCE ADVANCES 2023; 4:181-203. [PMID: 38188188 PMCID: PMC10769458 DOI: 10.1002/ansa.202300016] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 04/21/2023] [Accepted: 05/01/2023] [Indexed: 01/09/2024]
Abstract
Top-down proteomics (TDP) identifies, quantifies, and characterizes proteins at the intact proteoform level in complex biological samples to understand proteoform function and cellular mechanisms. However, analyzing complex biological samples using TDP is still challenging due to high sample complexity and wide dynamic range. High-resolution separation methods are often applied prior to mass spectrometry (MS) analysis to decrease sample complexity and increase proteomics throughput. These separation methods, however, may not be efficient enough to characterize low abundance intact proteins in complex samples. As such, multidimensional separation techniques (combination of two or more separation methods with high orthogonality) have been developed and applied that demonstrate improved separation resolution and more comprehensive identification in TDP. A suite of multidimensional separation methods that couple various types of liquid chromatography (LC), capillary electrophoresis (CE), and/or gel electrophoresis-based separation approaches have been developed and applied in TDP to analyze complex biological samples. Here, we reviewed multidimensional separation strategies employed for TDP, summarized current applications, and discussed the gaps that may be addressed in the future.
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Affiliation(s)
- Yanting Guo
- Department of Chemistry and BiochemistryUniversity of OklahomaOklahomaNormanUSA
| | | | - Zhitao Zhao
- Department of Chemistry and BiochemistryUniversity of OklahomaOklahomaNormanUSA
| | - Samin Anjum
- Department of Chemistry and BiochemistryUniversity of OklahomaOklahomaNormanUSA
| | - Si Wu
- Department of Chemistry and BiochemistryUniversity of OklahomaOklahomaNormanUSA
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5
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Nickerson JL, Baghalabadi V, Rajendran SRCK, Jakubec PJ, Said H, McMillen TS, Dang Z, Doucette AA. Recent advances in top-down proteome sample processing ahead of MS analysis. MASS SPECTROMETRY REVIEWS 2023; 42:457-495. [PMID: 34047392 DOI: 10.1002/mas.21706] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 04/21/2021] [Accepted: 05/06/2021] [Indexed: 06/12/2023]
Abstract
Top-down proteomics is emerging as a preferred approach to investigate biological systems, with objectives ranging from the detailed assessment of a single protein therapeutic, to the complete characterization of every possible protein including their modifications, which define the human proteoform. Given the controlling influence of protein modifications on their biological function, understanding how gene products manifest or respond to disease is most precisely achieved by characterization at the intact protein level. Top-down mass spectrometry (MS) analysis of proteins entails unique challenges associated with processing whole proteins while maintaining their integrity throughout the processes of extraction, enrichment, purification, and fractionation. Recent advances in each of these critical front-end preparation processes, including minimalistic workflows, have greatly expanded the capacity of MS for top-down proteome analysis. Acknowledging the many contributions in MS technology and sample processing, the present review aims to highlight the diverse strategies that have forged a pathway for top-down proteomics. We comprehensively discuss the evolution of front-end workflows that today facilitate optimal characterization of proteoform-driven biology, including a brief description of the clinical applications that have motivated these impactful contributions.
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Affiliation(s)
| | - Venus Baghalabadi
- Department of Chemistry, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Subin R C K Rajendran
- Department of Chemistry, Dalhousie University, Halifax, Nova Scotia, Canada
- Verschuren Centre for Sustainability in Energy and the Environment, Sydney, Nova Scotia, Canada
| | - Philip J Jakubec
- Department of Chemistry, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Hammam Said
- Department of Chemistry, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Teresa S McMillen
- Department of Chemistry, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Ziheng Dang
- Department of Chemistry, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Alan A Doucette
- Department of Chemistry, Dalhousie University, Halifax, Nova Scotia, Canada
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6
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Chen D, McCool EN, Yang Z, Shen X, Lubeckyj RA, Xu T, Wang Q, Sun L. Recent advances (2019-2021) of capillary electrophoresis-mass spectrometry for multilevel proteomics. MASS SPECTROMETRY REVIEWS 2023; 42:617-642. [PMID: 34128246 PMCID: PMC8671558 DOI: 10.1002/mas.21714] [Citation(s) in RCA: 30] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Revised: 05/29/2021] [Accepted: 06/03/2021] [Indexed: 05/06/2023]
Abstract
Multilevel proteomics aims to delineate proteins at the peptide (bottom-up proteomics), proteoform (top-down proteomics), and protein complex (native proteomics) levels. Capillary electrophoresis-mass spectrometry (CE-MS) can achieve highly efficient separation and highly sensitive detection of complex mixtures of peptides, proteoforms, and even protein complexes because of its substantial technical progress. CE-MS has become a valuable alternative to the routinely used liquid chromatography-mass spectrometry for multilevel proteomics. This review summarizes the most recent (2019-2021) advances of CE-MS for multilevel proteomics regarding technological progress and biological applications. We also provide brief perspectives on CE-MS for multilevel proteomics at the end, highlighting some future directions and potential challenges.
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Affiliation(s)
| | | | | | - Xiaojing Shen
- Department of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, MI 48824, USA
| | - Rachele A. Lubeckyj
- Department of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, MI 48824, USA
| | - Tian Xu
- Department of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, MI 48824, USA
| | - Qianjie Wang
- Department of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, MI 48824, USA
| | - Liangliang Sun
- Department of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, MI 48824, USA
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7
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Yang H, Wu J, Zhen S, Hu Y, Li D, Xie M, Zhu H. Proteomic analysis of spinal cord tissue in a rat model of cancer-induced bone pain. Front Mol Neurosci 2022; 15:1009615. [PMID: 36545122 PMCID: PMC9760935 DOI: 10.3389/fnmol.2022.1009615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Accepted: 11/16/2022] [Indexed: 12/12/2022] Open
Abstract
Background Cancer-induced bone pain (CIBP) is a moderate to severe pain and seriously affects patients' quality of life. Spinal cord plays critical roles in pain generation and maintenance. Identifying differentially expressed proteins (DEPs) in spinal cord is essential to elucidate the mechanisms of cancer pain. Methods CIBP rat model was established by the intratibial inoculation of MRMT-1 cells. Positron emission tomography (PET) scan and transmission electron microscopy (TEM) were used to measure the stats of spinal cord in rats. Label free Liquid Chromatography with tandem mass spectrometry (LC-MS-MS) were used to analyze the whole proteins from the lumbar spinal cord. Differentially expressed proteins (DEPs) were performed using Gene Ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) enrichment analysis, and verified using Western blot and immunofluorescence assay. Results In the current study, CIBP rats exhibited bone damage, spontaneous pain, mechanical hyperalgesia, and impaired motor ability. In spinal cord, an hypermetabolism and functional abnormality were revealed on CIBP rats. An increase of synaptic vesicles density in active zone and a disruption of mitochondrial structure in spinal cord of CIBP rats were observed. Meanwhile, 422 DEPs, consisting of 167 up-regulated and 255 down-regulated proteins, were identified among total 1539 proteins. GO enrichment analysis indicated that the DEPs were mainly involved in catabolic process, synaptic function, and enzymic activity. KEGG pathway enrichment analysis indicated a series of pathways, including nervous system disease, hormonal signaling pathways and amino acid metabolism, were involved. Expression change of synaptic and mitochondrial related protein, such as complexin 1 (CPLX1), synaptosomal-associated protein 25 (SNAP25), synaptotagmin 1 (SYT1), aldehyde dehydrogenase isoform 1B1 (ALDH1B1), Glycine amidinotransferase (GATM) and NADH:ubiquinone oxidoreductase subunit A11 (NDUFA11), were further validated using immunofluorescence and Western blot analysis. Conclusion This study provides valuable information for understanding the mechanisms of CIBP, and supplies potential therapeutic targets for cancer pain.
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Affiliation(s)
- Heyu Yang
- Xianning Medical College, Hubei University of Science and Technology, Xianning, China
| | - Ji Wu
- Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China
| | - Shuqing Zhen
- Matang Hospital of Traditional Chinese Medicine, Xianning, China
| | - Yindi Hu
- Xianning Medical College, Hubei University of Science and Technology, Xianning, China
| | - Dai Li
- Xianning Medical College, Hubei University of Science and Technology, Xianning, China
| | - Min Xie
- Xianning Medical College, Hubei University of Science and Technology, Xianning, China
| | - Haili Zhu
- Xianning Medical College, Hubei University of Science and Technology, Xianning, China,*Correspondence: Haili Zhu,
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8
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Weaver SD, Schuster-Little N, Whelan RJ. Preparative capillary electrophoresis (CE) fractionation of protein digests improves protein and peptide identification in bottom-up proteomics. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2022; 14:1103-1110. [PMID: 35175250 PMCID: PMC9210495 DOI: 10.1039/d1ay02145a] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Reversed-phase liquid chromatography (RPLC) is widely used to reduce sample complexity prior to mass spectrometry (MS) analysis in bottom-up proteomics. Improving peptide separation in complex samples enables lower-abundance proteins to be identified. Multidimensional separations that combine orthogonal separation modes improve protein and peptide identifications over RPLC alone. Here we report a preparative capillary electrophoresis (CE) fractionation method that combines CE and RPLC separations. Using this method, we demonstrate improved protein and peptide identification in a tryptic digest of E. coli cell lysate, with 132 ± 33% more protein identifications and 185 ± 65% more peptide identifications over non-fractionated samples. Fractionation enables detection of lower-abundance proteins in this complex sample. We demonstrate improved coverage of ovarian cancer biomarker MUC16 isolated from conditioned cell media, with 6.73% sequence coverage using CE fractionation compared to 2.74% coverage without preparative fractionation. This new method will allow researchers performing bottom-up proteomics to harness the advantages of CE separations while using widely available LC-MS/MS instrumentation.
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Affiliation(s)
- Simon D Weaver
- Integrated Biomedical Sciences Graduate Program, University of Notre Dame, Notre Dame, IN, USA
- Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, IN, USA.
| | - Naviya Schuster-Little
- Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, IN, USA.
| | - Rebecca J Whelan
- Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, IN, USA.
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9
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McCool EN, Lubeckyj RA, Chen D, Sun L. Top-Down Proteomics by Capillary Zone Electrophoresis-Tandem Mass Spectrometry for Large-Scale Characterization of Proteoforms in Complex Samples. Methods Mol Biol 2022; 2531:107-124. [PMID: 35941482 DOI: 10.1007/978-1-0716-2493-7_8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Capillary zone electrophoresis (CZE) is a fundamentally simple and highly efficient separation technique based on differences in electrophoretic mobilities of analytes. CZE-mass spectrometry (MS) has become an important analytical tool in top-down proteomics which aims to delineate proteoforms in cells comprehensively, because of the improvement of capillary coatings, sample stacking methods, and CE-MS interfaces. Here, we present a CZE-MS/MS-based top-down proteomics procedure for the characterization of a standard protein mixture and an Escherichia coli (E. coli) cell lysate using linear polyacrylamide-coated capillaries, a dynamic pH junction sample stacking method, a commercialized electro-kinetically pumped sheath flow CE-MS interface and an Orbitrap mass spectrometer. CZE-MS/MS can identify hundreds of proteoforms routinely from the E. coli sample with a 1% proteoform-level false discovery rate (FDR).
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Affiliation(s)
- Elijah N McCool
- Department of Chemistry, Michigan State University, East Lansing, MI, USA
| | - Rachele A Lubeckyj
- Department of Chemistry, Michigan State University, East Lansing, MI, USA
| | - Daoyang Chen
- Department of Chemistry, Michigan State University, East Lansing, MI, USA
| | - Liangliang Sun
- Department of Chemistry, Michigan State University, East Lansing, MI, USA.
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10
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Xu T, Shen X, Yang Z, Chen D, Lubeckyj RA, McCool EN, Sun L. Automated Capillary Isoelectric Focusing-Tandem Mass Spectrometry for Qualitative and Quantitative Top-Down Proteomics. Anal Chem 2020; 92:15890-15898. [PMID: 33263984 PMCID: PMC8564864 DOI: 10.1021/acs.analchem.0c03266] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Top-down proteomics (TDP) aims to delineate proteomes in a proteoform-specific manner, which is vital for accurately understanding protein function in cellular processes. It requires high-capacity separation of proteoforms before mass spectrometry (MS) and tandem MS (MS/MS). Capillary isoelectric focusing (cIEF)-MS has been recognized as a useful tool for TDP in the 1990s because cIEF is capable of high-resolution separation of proteoforms. Previous cIEF-MS studies concentrated on measuring the protein's mass without MS/MS, impeding the confident proteoform identification in complex samples and the accurate localization of post-translational modifications on proteoforms. Herein, for the first time, we present automated cIEF-MS/MS-based TDP for large-scale delineation of proteoforms in complex proteomes. Single-shot cIEF-MS/MS identified 711 proteoforms from an Escherichia coli (E. coli) proteome consuming only nanograms of proteins. Coupling two-dimensional size-exclusion chromatography (SEC)-cIEF to ESI-MS/MS enabled the identification of nearly 2000 proteoforms from the E. coli proteome. Label-free quantitative TDP of zebrafish male and female brains using SEC-cIEF-MS/MS quantified thousands of proteoforms and revealed sex-dependent proteoform profiles in brains. Particularly, we discovered several proteolytic proteoforms of pro-opiomelanocortin and prodynorphin with significantly higher abundance in male zebrafish brains as potential endogenous hormone proteoforms. Multilevel quantitative proteomics (TDP and bottom-up proteomics) of the brains revealed that the majority of proteoforms having statistically significant difference in abundance between genders showed no abundance difference at the protein group level. This work represents the first multilevel quantitative proteomics study of sexual dimorphism of the brain.
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Affiliation(s)
- Tian Xu
- Department of Chemistry, Michigan State University, 578 S Shaw Ln, East Lansing, Michigan 48824, United States
| | - Xiaojing Shen
- Department of Chemistry, Michigan State University, 578 S Shaw Ln, East Lansing, Michigan 48824, United States
| | - Zhichang Yang
- Department of Chemistry, Michigan State University, 578 S Shaw Ln, East Lansing, Michigan 48824, United States
| | - Daoyang Chen
- Department of Chemistry, Michigan State University, 578 S Shaw Ln, East Lansing, Michigan 48824, United States
| | - Rachele A Lubeckyj
- Department of Chemistry, Michigan State University, 578 S Shaw Ln, East Lansing, Michigan 48824, United States
| | - Elijah N McCool
- Department of Chemistry, Michigan State University, 578 S Shaw Ln, East Lansing, Michigan 48824, United States
| | - Liangliang Sun
- Department of Chemistry, Michigan State University, 578 S Shaw Ln, East Lansing, Michigan 48824, United States
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11
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Schaffer LV, Anderson LC, Butcher DS, Shortreed MR, Miller RM, Pavelec C, Smith LM. Construction of Human Proteoform Families from 21 Tesla Fourier Transform Ion Cyclotron Resonance Mass Spectrometry Top-Down Proteomic Data. J Proteome Res 2020; 20:317-325. [PMID: 33074679 DOI: 10.1021/acs.jproteome.0c00403] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Identification of proteoforms, the different forms of a protein, is important to understand biological processes. A proteoform family is the set of different proteoforms from the same gene. We previously developed the software program Proteoform Suite, which constructs proteoform families and identifies proteoforms by intact-mass analysis. Here, we have applied this approach to top-down proteomic data acquired at the National High Magnetic Field Laboratory 21 tesla Fourier transform ion cyclotron resonance mass spectrometer (data available on the MassIVE platform with identifier MSV000085978). We explored the ability to construct proteoform families and identify proteoforms from the high mass accuracy data that this instrument provides for a complex cell lysate sample from the MCF-7 human breast cancer cell line. There were 2830 observed experimental proteforms, of which 932 were identified, 44 were ambiguous, and 1854 were unidentified. Of the 932 unique identified proteoforms, 766 were identified by top-down MS2 analysis at 1% false discovery rate (FDR) using TDPortal, and 166 were additional intact-mass identifications (∼4.7% calculated global FDR) made using Proteoform Suite. We recently published a proteoform level schema to represent ambiguity in proteoform identifications. We implemented this proteoform level classification in Proteoform Suite for intact-mass identifications, which enables users to determine the ambiguity levels and sources of ambiguity for each intact-mass proteoform identification.
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Affiliation(s)
- Leah V Schaffer
- 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
| | - David S Butcher
- Ion Cyclotron Resonance Program, National High Magnetic Field Laboratory, Tallahassee, Florida 32310, United States
| | - Michael R Shortreed
- 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
| | - Caitlin Pavelec
- 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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12
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Chen D, Lubeckyj RA, Yang Z, McCool EN, Shen X, Wang Q, Xu T, Sun L. Predicting Electrophoretic Mobility of Proteoforms for Large-Scale Top-Down Proteomics. Anal Chem 2020; 92:3503-3507. [PMID: 32043875 PMCID: PMC7543059 DOI: 10.1021/acs.analchem.9b05578] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Large-scale top-down proteomics characterizes proteoforms in cells globally with high confidence and high throughput using reversed-phase liquid chromatography (RPLC)-tandem mass spectrometry (MS/MS) or capillary zone electrophoresis (CZE)-MS/MS. The false discovery rate (FDR) from the target-decoy database search is typically deployed to filter identified proteoforms to ensure high-confidence identifications (IDs). It has been demonstrated that the FDRs in top-down proteomics can be drastically underestimated. An alternative approach to the FDR can be useful for further evaluating the confidence of proteoform IDs after the database search. We argue that predicting retention/migration time of proteoforms from the RPLC/CZE separation accurately and comparing their predicted and experimental separation time could be a useful and practical approach. Based on our knowledge, there is still no report in the literature about predicting separation time of proteoforms using large top-down proteomics data sets. In this pilot study, for the first time, we evaluated various semiempirical models for predicting proteoforms' electrophoretic mobility (μef) using large-scale top-down proteomics data sets from CZE-MS/MS. We achieved a linear correlation between experimental and predicted μef of E. coli proteoforms (R2 = 0.98) with a simple semiempirical model, which utilizes the number of charges and molecular mass of each proteoform as the parameters. Our modeling data suggest that the complete unfolding of proteoforms during CZE separation benefits the prediction of their μef. Our results also indicate that N-terminal acetylation and phosphorylation both decrease the proteoforms' charge by roughly one charge unit.
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Affiliation(s)
- Daoyang Chen
- Department of Chemistry, Michigan State University, 578 South Shaw Lane, East Lansing, Michigan 48824, United States
| | - Rachele A Lubeckyj
- Department of Chemistry, Michigan State University, 578 South Shaw Lane, East Lansing, Michigan 48824, United States
| | - Zhichang Yang
- Department of Chemistry, Michigan State University, 578 South Shaw Lane, East Lansing, Michigan 48824, United States
| | - Elijah N McCool
- Department of Chemistry, Michigan State University, 578 South Shaw Lane, East Lansing, Michigan 48824, United States
| | - Xiaojing Shen
- Department of Chemistry, Michigan State University, 578 South Shaw Lane, East Lansing, Michigan 48824, United States
| | - Qianjie Wang
- Department of Chemistry, Michigan State University, 578 South Shaw Lane, East Lansing, Michigan 48824, United States
| | - Tian Xu
- Department of Chemistry, Michigan State University, 578 South Shaw Lane, East Lansing, Michigan 48824, United States
| | - Liangliang Sun
- Department of Chemistry, Michigan State University, 578 South Shaw Lane, East Lansing, Michigan 48824, United States
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13
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Affiliation(s)
| | | | - Jennifer S. Brodbelt
- Department of Chemistry, University of Texas at Austin, Austin, Texas 78712, United States
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14
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McCool EN, Lodge JM, Basharat AR, Liu X, Coon JJ, Sun L. Capillary Zone Electrophoresis-Tandem Mass Spectrometry with Activated Ion Electron Transfer Dissociation for Large-scale Top-down Proteomics. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2019; 30:2470-2479. [PMID: 31073891 PMCID: PMC6527361 DOI: 10.1007/s13361-019-02206-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/09/2019] [Revised: 03/26/2019] [Accepted: 03/27/2019] [Indexed: 05/21/2023]
Abstract
Capillary zone electrophoresis (CZE)-tandem mass spectrometry (MS/MS) has been recognized as an efficient approach for top-down proteomics recently for its high-capacity separation and highly sensitive detection of proteoforms. However, the commonly used collision-based dissociation methods often cannot provide extensive fragmentation of proteoforms for thorough characterization. Activated ion electron transfer dissociation (AI-ETD), that combines infrared photoactivation concurrent with ETD, has shown better performance for proteoform fragmentation than higher energy-collisional dissociation (HCD) and standard ETD. Here, we present the first application of CZE-AI-ETD on an Orbitrap Fusion Lumos mass spectrometer for large-scale top-down proteomics of Escherichia coli (E. coli) cells. CZE-AI-ETD outperformed CZE-ETD regarding proteoform and protein identifications (IDs). CZE-AI-ETD reached comparable proteoform and protein IDs with CZE-HCD. CZE-AI-ETD tended to generate better expectation values (E values) of proteoforms than CZE-HCD and CZE-ETD, indicating a higher quality of MS/MS spectra from AI-ETD respecting the number of sequence-informative fragment ions generated. CZE-AI-ETD showed great reproducibility regarding the proteoform and protein IDs with relative standard deviations less than 4% and 2% (n = 3). Coupling size exclusion chromatography (SEC) to CZE-AI-ETD identified 3028 proteoforms and 387 proteins from E. coli cells with 1% spectrum level and 5% proteoform-level false discovery rates. The data represents the largest top-down proteomics dataset using the AI-ETD method so far. Single-shot CZE-AI-ETD of one SEC fraction identified 957 proteoforms and 253 proteins. N-terminal truncations, signal peptide cleavage, N-terminal methionine removal, and various post-translational modifications including protein N-terminal acetylation, methylation, S-thiolation, disulfide bonds, and lysine succinylation were detected.
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Affiliation(s)
- Elijah N McCool
- Department of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, MI, 48824, USA
| | - Jean M Lodge
- Genome Center of Wisconsin, University of Wisconsin-Madison, Madison, WI, 53706, USA
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | - Abdul Rehman Basharat
- Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, 719 Avenue, Indianapolis, IN, 46202, USA
| | - Xiaowen Liu
- Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, 719 Avenue, Indianapolis, IN, 46202, USA
- Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, 410 West 10th Street, Indianapolis, IN, 46202, USA
| | - Joshua J Coon
- Genome Center of Wisconsin, University of Wisconsin-Madison, Madison, WI, 53706, USA
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, 53706, USA
- Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | - Liangliang Sun
- Department of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, MI, 48824, USA.
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15
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Gomes FP, Yates JR. Recent trends of capillary electrophoresis-mass spectrometry in proteomics research. MASS SPECTROMETRY REVIEWS 2019; 38:445-460. [PMID: 31407381 PMCID: PMC6800771 DOI: 10.1002/mas.21599] [Citation(s) in RCA: 60] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
Progress in proteomics research has led to a demand for powerful analytical tools with high separation efficiency and sensitivity for confident identification and quantification of proteins, posttranslational modifications, and protein complexes expressed in cells and tissues. This demand has significantly increased interest in capillary electrophoresis-mass spectrometry (CE-MS) in the past few years. This review provides highlights of recent advances in CE-MS for proteomics research, including a short introduction to top-down mass spectrometry and native mass spectrometry (native MS), as well as a detailed overview of CE methods. Both the potential and limitations of these methods for the analysis of proteins and peptides in synthetic and biological samples and the challenges of CE methods are discussed, along with perspectives about the future direction of CE-MS. @ 2019 Wiley Periodicals, Inc. Mass Spec Rev 00:1-16, 2019.
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Affiliation(s)
| | - John R. Yates
- Correspondent author: , Phone number: (858) 784-8862, Departments of Molecular Medicine and Neurobiology, 10550 North Torrey Pines Road, SR302B, The Scripps Research Institute, La Jolla, CA 92037
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16
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Shen X, Yang Z, McCool EN, Lubeckyj RA, Chen D, Sun L. Capillary zone electrophoresis-mass spectrometry for top-down proteomics. Trends Analyt Chem 2019; 120:115644. [PMID: 31537953 PMCID: PMC6752746 DOI: 10.1016/j.trac.2019.115644] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Mass spectrometry (MS)-based top-down proteomics characterizes complex proteomes at the intact proteoform level and provides an accurate picture of protein isoforms and protein post-translational modifications in the cell. The progress of top-down proteomics requires novel analytical tools with high peak capacity for proteoform separation and high sensitivity for proteoform detection. The requirements have made capillary zone electrophoresis (CZE)-MS an attractive approach for advancing large-scale top-down proteomics. CZE has achieved a peak capacity of 300 for separation of complex proteoform mixtures. CZE-MS has shown drastically better sensitivity than commonly used reversed-phase liquid chromatography (RPLC)-MS for proteoform detection. The advanced CZE-MS identified 6,000 proteoforms of nearly 1,000 proteoform families from a complex proteome sample, which represents one of the largest top-down proteomic datasets so far. In this review, we focus on the recent progress in CZE-MS-based top-down proteomics and provide our perspectives about its future directions.
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Affiliation(s)
- Xiaojing Shen
- Department of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, Michigan 48824, United States
| | - Zhichang Yang
- Department of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, Michigan 48824, United States
| | - Elijah N. McCool
- Department of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, Michigan 48824, United States
| | - Rachele A. Lubeckyj
- Department of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, Michigan 48824, United States
| | - Daoyang Chen
- Department of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, Michigan 48824, United States
| | - Liangliang Sun
- Department of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, Michigan 48824, United States
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17
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Lin A, Sved Skottvoll F, Rayner S, Pedersen-Bjergaard S, Sullivan G, Krauss S, Ray Wilson S, Harrison S. 3D cell culture models and organ-on-a-chip: Meet separation science and mass spectrometry. Electrophoresis 2019; 41:56-64. [PMID: 31544246 DOI: 10.1002/elps.201900170] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Revised: 09/12/2019] [Accepted: 09/19/2019] [Indexed: 12/13/2022]
Abstract
In vitro derived simplified 3D representations of human organs or organ functionalities are predicted to play a major role in disease modeling, drug development, and personalized medicine, as they complement traditional cell line approaches and animal models. The cells for 3D organ representations may be derived from primary tissues, embryonic stem cells or induced pluripotent stem cells and come in a variety of formats from aggregates of individual or mixed cell types, self-organizing in vitro developed "organoids" and tissue mimicking chips. Microfluidic devices that allow long-term maintenance and combination with other tissues, cells or organoids are commonly referred to as "microphysiological" or "organ-on-a-chip" systems. Organ-on-a-chip technology allows a broad range of "on-chip" and "off-chip" analytical techniques, whereby "on-chip" techniques offer the possibility of real time tracking and analysis. In the rapidly expanding tool kit for real time analytical assays, mass spectrometry, combined with "on-chip" electrophoresis, and other separation approaches offer attractive emerging tools. In this review, we provide an overview of current 3D cell culture models, a compendium of current analytical strategies, and we make a case for new approaches for integrating separation science and mass spectrometry in this rapidly expanding research field.
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Affiliation(s)
- Ann Lin
- Hybrid Technology Hub-Centre of Excellence, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Oslo, Norway.,Department of Genetics, Stanford University, CA, USA
| | - Frøydis Sved Skottvoll
- Hybrid Technology Hub-Centre of Excellence, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Oslo, Norway.,Department of Chemistry, University of Oslo, Oslo, Norway
| | - Simon Rayner
- Hybrid Technology Hub-Centre of Excellence, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Oslo, Norway.,Department of Medical Genetics, Oslo University Hospital and University of Oslo, Oslo, Norway
| | | | - Gareth Sullivan
- Hybrid Technology Hub-Centre of Excellence, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Oslo, Norway.,Norwegian Center for Stem Cell Research, University of Oslo, Oslo, Norway.,Department of Molecular Medicine, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.,Institute of Immunology, Oslo University Hospital, Oslo, Norway.,Department of Pediatric Research, Oslo University Hospital, Oslo, Norway
| | - Stefan Krauss
- Hybrid Technology Hub-Centre of Excellence, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Oslo, Norway.,Unit for Cell Signaling, Department of Immunology and Transfusion Medicine, Oslo University Hospital, Oslo, Norway
| | - Steven Ray Wilson
- Hybrid Technology Hub-Centre of Excellence, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Oslo, Norway.,Department of Chemistry, University of Oslo, Oslo, Norway
| | - Sean Harrison
- Hybrid Technology Hub-Centre of Excellence, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Oslo, Norway
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18
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Dai Y, Buxton KE, Schaffer LV, Miller RM, Millikin RJ, Scalf M, Frey BL, Shortreed MR, Smith LM. Constructing Human Proteoform Families Using Intact-Mass and Top-Down Proteomics with a Multi-Protease Global Post-Translational Modification Discovery Database. J Proteome Res 2019; 18:3671-3680. [PMID: 31479276 DOI: 10.1021/acs.jproteome.9b00339] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Complex human biomolecular processes are made possible by the diversity of human proteoforms. Constructing proteoform families, groups of proteoforms derived from the same gene, is one way to represent this diversity. Comprehensive, high-confidence identification of human proteoforms remains a central challenge in mass spectrometry-based proteomics. We have previously reported a strategy for proteoform identification using intact-mass measurements, and we have since improved that strategy by mass calibration based on search results, the use of a global post-translational modification discovery database, and the integration of top-down proteomics results with intact-mass analysis. In the present study, we combine these strategies for enhanced proteoform identification in total cell lysate from the Jurkat human T lymphocyte cell line. We collected, processed, and integrated three types of proteomics data (NeuCode-labeled intact-mass, label-free top-down, and multi-protease bottom-up) to maximize the number of confident proteoform identifications. The integrated analysis revealed 5950 unique experimentally observed proteoforms, which were assembled into 848 proteoform families. Twenty percent of the observed proteoforms were confidently identified at a 3.9% false discovery rate, representing 1207 unique proteoforms derived from 484 genes.
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Affiliation(s)
- Yunxiang Dai
- Department of Chemistry , University of Wisconsin , 1101 University Avenue , Madison , Wisconsin 53706 , United States.,Biophysics Graduate Program , University of Wisconsin , 413 Bock Laboratories, 1525 Linden Drive , Madison , Wisconsin 53706 , United States
| | - Katherine E Buxton
- Department of Chemistry , University of Wisconsin , 1101 University Avenue , Madison , Wisconsin 53706 , United States
| | - Leah V Schaffer
- Department of Chemistry , University of Wisconsin , 1101 University Avenue , Madison , Wisconsin 53706 , United States
| | - Rachel M Miller
- Department of Chemistry , University of Wisconsin , 1101 University Avenue , Madison , Wisconsin 53706 , United States
| | - Robert J Millikin
- Department of Chemistry , University of Wisconsin , 1101 University Avenue , Madison , Wisconsin 53706 , United States
| | - Mark Scalf
- Department of Chemistry , University of Wisconsin , 1101 University Avenue , Madison , Wisconsin 53706 , United States
| | - Brian L Frey
- Department of Chemistry , University of Wisconsin , 1101 University Avenue , Madison , Wisconsin 53706 , United States
| | - Michael R Shortreed
- Department of Chemistry , University of Wisconsin , 1101 University Avenue , Madison , Wisconsin 53706 , United States
| | - Lloyd M Smith
- Department of Chemistry , University of Wisconsin , 1101 University Avenue , Madison , Wisconsin 53706 , United States
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19
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[Comparing nanoflow reversed-phase liquid chromatography-tandem mass spectrometry and capillary zone electrophoresis-tandem mass spectrometry for top-down proteomics]. Se Pu 2019; 37:878-886. [PMID: 31642259 DOI: 10.3724/sp.j.1123.2019.05001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
One of the major shortcomings in top-down proteomics is the lack of efficient separations for intact proteins that can be effectively coupled to mass spectrometry. Capillary zone electrophoresis (CZE) and nanoflow reversed-phase liquid chromatography (nanoRPLC) are two methods that can be coupled to mass spectrometry directly and have been recently advanced in terms of their ability to separate intact proteins in complex biological mixtures. In this work, for the first time, we compared the state-of-the-art nanoRPLC-MS/MS and CZE-MS/MS platforms for top-down characterization of a standard protein mixture and an Escherichia coli (E. coli) proteome sample. CZE-MS produced comparable signals of standard proteins to RPLC-MS with 10-times less sample consumption. Interestingly, the proteins in RPLC-MS tended to have higher charge states than in CZE-MS, most likely due to the high acetonitrile concentration in RPLC mobile phase, leading to the more extensive unfolding of proteins in RPLC compared to in CZE. CZE-MS/MS identified 159 proteins and 513 proteoforms using 1-μg E. coli proteins in a single run and outperformed RPLC-MS/MS using 1-μg E. coli proteins in terms of protein and proteoform identifications (159 vs. 105 proteins and 513 vs. 277 proteoforms). The RPLC-MS/MS using 8-μg E. coli proteins identified 245 proteins and 1004 proteoforms in a single run, and the data was much better than that from CZE-MS/MS (1-μg E. coli proteins) regarding the number of identifications because of the 8-times higher sample loading amount and significantly wider separation window of RPLC-MS/MS compared to CZE-MS/MS.
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20
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Lubeckyj RA, Basharat AR, Shen X, Liu X, Sun L. Large-Scale Qualitative and Quantitative Top-Down Proteomics Using Capillary Zone Electrophoresis-Electrospray Ionization-Tandem Mass Spectrometry with Nanograms of Proteome Samples. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2019; 30:1435-1445. [PMID: 30972727 PMCID: PMC6675661 DOI: 10.1007/s13361-019-02167-w] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Revised: 02/18/2019] [Accepted: 02/18/2019] [Indexed: 05/03/2023]
Abstract
Capillary zone electrophoresis-electrospray ionization-tandem mass spectrometry (CZE-ESI-MS/MS) has attracted attention recently for top-down proteomics because it can achieve highly efficient separation and very sensitive detection of proteins. However, separation window and sample loading volume of CZE need to be boosted for a better proteome coverage using CZE-MS/MS. Here, we present an improved CZE-MS/MS system that achieved a 180-min separation window and a 2-μL sample loading volume for top-down characterization of protein mixtures. The system obtained highly efficient separation of proteins with nearly one million theoretical plates for myoglobin and enabled baseline separation of three different proteoforms of myoglobin. The CZE-MS/MS system identified 797 ± 21 proteoforms and 258 ± 7 proteins (n = 2) from an Escherichia coli (E. coli) proteome sample in a single run with only 250 ng of proteins injected. The system still identified 449 ± 40 proteoforms and 173 ± 6 proteins (n = 2) from the E. coli sample when only 25 ng of proteins were injected per run. Single-shot CZE-MS/MS analyses of zebrafish brain cerebellum (Cb) and optic tectum (Teo) regions identified 1730 ± 196 proteoforms (n = 3) and 2024 ± 255 proteoforms (n = 3), respectively, with only 500-ng proteins loaded per run. Label-free quantitative top-down proteomics of zebrafish brain Cb and Teo regions revealed significant differences between Cb and Teo regarding the proteoform abundance. Over 700 proteoforms from 131 proteins had significantly higher abundance in Cb compared to Teo, and these proteins were highly enriched in several biological processes, including muscle contraction, glycolytic process, and mesenchyme migration. Graphical Abstract.
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Affiliation(s)
- Rachele A Lubeckyj
- Department of Chemistry, Michigan State University, 578 S Shaw Ln, East Lansing, MI, 48824, USA
| | - Abdul Rehman Basharat
- Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202, USA
| | - Xiaojing Shen
- Department of Chemistry, Michigan State University, 578 S Shaw Ln, East Lansing, MI, 48824, USA
| | - Xiaowen Liu
- Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202, USA
- Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Liangliang Sun
- Department of Chemistry, Michigan State University, 578 S Shaw Ln, East Lansing, MI, 48824, USA.
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21
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McCool EN, Chen D, Li W, Liu Y, Sun L. Capillary zone electrophoresis-tandem mass spectrometry using ultraviolet photodissociation (213 nm) for large-scale top-down proteomics. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2019; 11:2855-2861. [PMID: 31608127 PMCID: PMC6788745 DOI: 10.1039/c9ay00585d] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
Capillary zone electrophoresis-tandem mass spectrometry (CZE-MS/MS) has attracted attention recently for large-scale top-down proteomics that aims to characterize proteoforms in cells at a global scale and with high throughput. In this work, CZE-MS/MS with ultraviolet photodissociation (UVPD) was evaluated for large-scale top-down proteomics for the first time. Roughly, 600 proteoforms and 369 proteins were identified from a zebrafish brain sample via coupling size exclusion chromatography (SEC) fractionation to CZE-UVPD. The dataset represents one of the largest top-down proteomics datasets using UVPD. Single-shot CZE-UVPD identified 227 proteoforms of 139 proteins from one SEC fraction of the zebrafish brain sample. The SEC-CZE-UVPD system identified zebrafish brain proteoforms in a mass range of 3-21 kDa. The UVPD with 213-nm photons produced reasonably good gas-phase fragmentation of proteoforms. For instance, 75% backbone cleavages were observed for Parvalbumin-7 with about 12-kDa molecular weight. The system detected various post-translational modifications (PTMs) from the zebrafish brain sample, including N-terminal acetylation, trimethylation and myristoylation of N-terminal glycine. Two different proteoforms of calmodulin, with either only N-terminal acetylation or both N-terminal acetylation and K115 trimethylation, were identified in the zebrafish brain sample. To our best knowledge, there is no experimental evidence reported in the literature on the two proteoforms of calmodulin in the zebrafish brain.
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Affiliation(s)
- Elijah N. McCool
- Department of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, Michigan 48824, United States
| | - Daoyang Chen
- Department of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, Michigan 48824, United States
| | - Wenxue Li
- Department of Pharmacology, Cancer Biology Institute, Yale University School of Medicine, West Haven, CT 06516, United States
| | - Yansheng Liu
- Department of Pharmacology, Cancer Biology Institute, Yale University School of Medicine, West Haven, CT 06516, United States
| | - Liangliang Sun
- Department of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, Michigan 48824, United States
- Corresponding author. , Phone: 1-517-353-0498
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22
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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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23
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Wang T, Chen D, Lubeckyj RA, Shen X, Yang Z, McCool EN, Qiao X, Sun L. Capillary zone electrophoresis-tandem mass spectrometry for top-down proteomics using attapulgite nanoparticles functionalized separation capillaries. Talanta 2019; 202:165-170. [PMID: 31171165 DOI: 10.1016/j.talanta.2019.04.040] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2018] [Revised: 04/12/2019] [Accepted: 04/16/2019] [Indexed: 10/27/2022]
Abstract
Attapulgite nanoparticles have good chemical properties and can be modified easily for broad applications. In this work, for the first time, attapulgite nanoparticles were employed to modify the inner wall of separation capillaries for capillary zone electrophoresis-tandem mass spectrometry (CZE-MS/MS)-based top-down proteomics. The attapulgite nanoparticles and the inner wall of a fused silica capillary were first functionalized with γ-methacryloxypropyl trimethoxysilane. Then the modified nanoparticles and acrylamide were copolymerized in the fused silica capillary with the assistance of azobisisobutyronitrile and heat. The incorporation of high-surface-area nanoparticles in the linear polyacrylamide (LPA) coating resulted in significantly lower electroosmotic mobility compared with the typical LPA coating (3.48 × 10-5 vs. 9.03 × 10-5 cm2 V-1 S-1), most likely because more LPA molecules were immobilized on the inner wall of the separation capillary. The attapulgite nanoparticles functionalized separation capillaries have shown great stability and reproducibility across 43 discontinuous CZE-MS runs of a standard protein mixture. We applied the CZE-MS/MS system for top-down proteomics of Escherichia coli cells. In a proof-of-principle experiment, the CZE-MS/MS system achieved a 90-min separation window and a 1-μL sample loading volume, leading to nearly 300 proteoform and 135 protein identifications in a single run. Many post-translational modifications (PTMs) were identified, including methylation, acetylation, phosphorylation, biotinylation, succinylation, and disulfide bond.
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Affiliation(s)
- Tingting Wang
- School of Materials and Chemical Engineering, Ningbo University of Technology, Ningbo 315211, China; Department of Chemistry, Michigan State University, 578 S Shaw Ln, East Lansing, MI 48824, USA
| | - Daoyang Chen
- Department of Chemistry, Michigan State University, 578 S Shaw Ln, East Lansing, MI 48824, USA
| | - Rachele A Lubeckyj
- Department of Chemistry, Michigan State University, 578 S Shaw Ln, East Lansing, MI 48824, USA
| | - Xiaojing Shen
- Department of Chemistry, Michigan State University, 578 S Shaw Ln, East Lansing, MI 48824, USA
| | - Zhichang Yang
- Department of Chemistry, Michigan State University, 578 S Shaw Ln, East Lansing, MI 48824, USA
| | - Elijah N McCool
- Department of Chemistry, Michigan State University, 578 S Shaw Ln, East Lansing, MI 48824, USA
| | - Xiaoqiang Qiao
- Department of Chemistry, Michigan State University, 578 S Shaw Ln, East Lansing, MI 48824, USA; College of Pharmaceutical Sciences, Key Laboratory of Analytical Science and Technology of Hebei Province, Key Laboratory of Medicinal Chemistry and Molecular Diagnosis, Ministry of Education, Hebei University, Baoding 071002, China
| | - Liangliang Sun
- Department of Chemistry, Michigan State University, 578 S Shaw Ln, East Lansing, MI 48824, USA.
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24
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Štěpánová S, Kašička V. Recent developments and applications of capillary and microchip electrophoresis in proteomics and peptidomics (2015-mid 2018). J Sep Sci 2018; 42:398-414. [DOI: 10.1002/jssc.201801090] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2018] [Revised: 11/15/2018] [Accepted: 11/16/2018] [Indexed: 12/27/2022]
Affiliation(s)
- Sille Štěpánová
- Institute of Organic Chemistry and Biochemistry; The Czech Academy of Sciences; Prague 6 Czechia
| | - Václav Kašička
- Institute of Organic Chemistry and Biochemistry; The Czech Academy of Sciences; Prague 6 Czechia
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25
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Breadmore MC, Grochocki W, Kalsoom U, Alves MN, Phung SC, Rokh MT, Cabot JM, Ghiasvand A, Li F, Shallan AI, Keyon ASA, Alhusban AA, See HH, Wuethrich A, Dawod M, Quirino JP. Recent advances in enhancing the sensitivity of electrophoresis and electrochromatography in capillaries and microchips (2016-2018). Electrophoresis 2018; 40:17-39. [PMID: 30362581 DOI: 10.1002/elps.201800384] [Citation(s) in RCA: 96] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2018] [Revised: 10/15/2018] [Accepted: 10/16/2018] [Indexed: 12/22/2022]
Abstract
One of the most cited limitations of capillary and microchip electrophoresis is the poor sensitivity. This review continues to update this series of biannual reviews, first published in Electrophoresis in 2007, on developments in the field of online/in-line concentration methods in capillaries and microchips, covering the period July 2016-June 2018. It includes developments in the field of stacking, covering all methods from field-amplified sample stacking and large-volume sample stacking, through to isotachophoresis, dynamic pH junction, and sweeping. Attention is also given to online or in-line extraction methods that have been used for electrophoresis.
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Affiliation(s)
- Michael C Breadmore
- Australian Centre for Research on Separation Science, Chemistry, School of Natural Science, University of Tasmania, Hobart, Tasmania, Australia
| | - Wojciech Grochocki
- Australian Centre for Research on Separation Science, Chemistry, School of Natural Science, University of Tasmania, Hobart, Tasmania, Australia.,Department of Biopharmaceutics and Pharmacodynamics, Medical University of Gdansk, Gdansk, Poland
| | - Umme Kalsoom
- Australian Centre for Research on Separation Science, Chemistry, School of Natural Science, University of Tasmania, Hobart, Tasmania, Australia.,ARC Centre of Excellence for Electromaterials Science (ACES), School of Natural Sciences, College of Science and Technology, University of Tasmania, Hobart, Australia
| | - Mónica N Alves
- Australian Centre for Research on Separation Science, Chemistry, School of Natural Science, University of Tasmania, Hobart, Tasmania, Australia
| | - Sui Ching Phung
- Australian Centre for Research on Separation Science, Chemistry, School of Natural Science, University of Tasmania, Hobart, Tasmania, Australia
| | | | - Joan M Cabot
- Australian Centre for Research on Separation Science, Chemistry, School of Natural Science, University of Tasmania, Hobart, Tasmania, Australia.,ARC Centre of Excellence for Electromaterials Science (ACES), School of Natural Sciences, College of Science and Technology, University of Tasmania, Hobart, Australia
| | - Alireza Ghiasvand
- Australian Centre for Research on Separation Science, Chemistry, School of Natural Science, University of Tasmania, Hobart, Tasmania, Australia.,Department of Chemistry, Lorestan University, Khoramabad, Iran
| | - Feng Li
- Australian Centre for Research on Separation Science, Chemistry, School of Natural Science, University of Tasmania, Hobart, Tasmania, Australia
| | - Aliaa I Shallan
- Future Industries Institute (FII), University of South Australia, Mawson Lakes, Australia.,Department of Pharmaceutical Analytical Chemistry, Faculty of Pharmacy, Helwan University, Cairo, Egypt
| | - Aemi S Abdul Keyon
- Department of Chemistry, Faculty of Science, Universiti Teknologi Malaysia, Johor Bahru, Johor, Malaysia.,Centre for Sustainable Nanomaterials, Ibnu Sina Institute for Scientific and Industrial Research, Universiti Teknologi Malaysia, Johor Bahru, Johor, Malaysia
| | - Ala A Alhusban
- Department of Pharmacy, Faculty of Pharmacy, Al-Zaytoonah University of Jordan, Amman, Jordan
| | - Hong Heng See
- Department of Chemistry, Faculty of Science, Universiti Teknologi Malaysia, Johor Bahru, Johor, Malaysia.,Centre for Sustainable Nanomaterials, Ibnu Sina Institute for Scientific and Industrial Research, Universiti Teknologi Malaysia, Johor Bahru, Johor, Malaysia
| | - Alain Wuethrich
- Centre for Personalized Nanomedicine, Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD, Australia
| | - Mohamed Dawod
- Department of Chemistry, University of Michigan, Ann Arbor, MI, USA
| | - Joselito P Quirino
- Australian Centre for Research on Separation Science, Chemistry, School of Natural Science, University of Tasmania, Hobart, Tasmania, Australia
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26
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27
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McCool EN, Lubeckyj R, Shen X, Kou Q, Liu X, Sun L. Large-scale Top-down Proteomics Using Capillary Zone Electrophoresis Tandem Mass Spectrometry. J Vis Exp 2018. [PMID: 30417888 DOI: 10.3791/58644] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
Capillary zone electrophoresis-electrospray ionization-tandem mass spectrometry (CZE-ESI-MS/MS) has been recognized as a useful tool for top-down proteomics that aims to characterize proteoforms in complex proteomes. However, the application of CZE-MS/MS for large-scale top-down proteomics has been impeded by the low sample-loading capacity and narrow separation window of CZE. Here, a protocol is described using CZE-MS/MS with a microliter-scale sample-loading volume and a 90-min separation window for large-scale top-down proteomics. The CZE-MS/MS platform is based on a linear polyacrylamide (LPA)-coated separation capillary with extremely low electroosmotic flow, a dynamic pH-junction-based online sample concentration method with a high efficiency for protein stacking, an electro-kinetically pumped sheath flow CE-MS interface with extremely high sensitivity, and an ion trap mass spectrometer with high mass resolution and scan speed. The platform can be used for the high-resolution characterization of simple intact protein samples and the large-scale characterization of proteoforms in various complex proteomes. As an example, a highly efficient separation of a standard protein mixture and a highly sensitive detection of many impurities using the platform is demonstrated. As another example, this platform can produce over 500 proteoform and 190 protein identifications from an Escherichia coli proteome in a single CZE-MS/MS run.
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Affiliation(s)
| | | | | | - Qiang Kou
- Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis
| | - Xiaowen Liu
- Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis; Center for Computational Biology and Bioinformatics, Indiana University School of Medicine
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28
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Mikšík I. Coupling of CE-MS for protein and peptide analysis. J Sep Sci 2018; 42:385-397. [PMID: 30238606 DOI: 10.1002/jssc.201800817] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2018] [Revised: 09/12/2018] [Accepted: 09/13/2018] [Indexed: 12/13/2022]
Abstract
The review is focused on the latest developments in the analysis of proteins and peptides by capillary electrophoresis techniques coupled to mass spectrometry. First, the methodology and instrumentation are overviewed. In this section, recent progress in capillary electrophoresis with mass spectrometry interfaces and capillary electrophoresis with matrix-assisted laser desorption/ionization is mentioned, as well as separation tasks. The second part is devoted to applications-mainly bottom-up and top-down proteomics. It is obvious that capillary electrophoresis with mass spectrometry methods are well suited for peptide and protein analysis (proteomic research) and it is described how these techniques are complementary and not competitive with the often used liquid chromatography with mass spectrometry methods.
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Affiliation(s)
- Ivan Mikšík
- Institute of Physiology, Academy of Sciences of the Czech Republic, Prague 4, Czech Republic
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29
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Schaffer LV, Rensvold JW, Shortreed MR, Cesnik AJ, Jochem A, Scalf M, Frey BL, Pagliarini DJ, Smith LM. Identification and Quantification of Murine Mitochondrial Proteoforms Using an Integrated Top-Down and Intact-Mass Strategy. J Proteome Res 2018; 17:3526-3536. [PMID: 30180576 PMCID: PMC6201694 DOI: 10.1021/acs.jproteome.8b00469] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
The development of effective strategies for the comprehensive identification and quantification of proteoforms in complex systems is a critical challenge in proteomics. Proteoforms, the specific molecular forms in which proteins are present in biological systems, are the key effectors of biological function. Thus, knowledge of proteoform identities and abundances is essential to unraveling the mechanisms that underlie protein function. We recently reported a strategy that integrates conventional top-down mass spectrometry with intact-mass determinations for enhanced proteoform identifications and the elucidation of proteoform families and applied it to the analysis of yeast cell lysate. In the present work, we extend this strategy to enable quantification of proteoforms, and we examine changes in the abundance of murine mitochondrial proteoforms upon differentiation of mouse myoblasts to myotubes. The integrated top-down and intact-mass strategy provided an increase of ∼37% in the number of identified proteoforms compared to top-down alone, which is in agreement with our previous work in yeast; 1779 unique proteoforms were identified using the integrated strategy compared to 1301 using top-down analysis alone. Quantitative comparison of proteoform differences between the myoblast and myotube cell types showed 129 observed proteoforms exhibiting statistically significant abundance changes (fold change >2 and false discovery rate <5%).
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Affiliation(s)
- Leah V. Schaffer
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI 53706, USA
| | | | - Michael R. Shortreed
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Anthony J. Cesnik
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Adam Jochem
- Morgridge Institute for Research, Madison, WI 53715, USA
| | - Mark Scalf
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Brian L. Frey
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - David J. Pagliarini
- Morgridge Institute for Research, Madison, WI 53715, USA
- Department of Biochemistry, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Lloyd M. Smith
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI 53706, USA
- Genome Center of Wisconsin, University of Wisconsin-Madison, Madison, WI 53706, USA
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30
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Šlampová A, Malá Z, Gebauer P. Recent progress of sample stacking in capillary electrophoresis (2016-2018). Electrophoresis 2018; 40:40-54. [PMID: 30073675 DOI: 10.1002/elps.201800261] [Citation(s) in RCA: 65] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2018] [Revised: 07/31/2018] [Accepted: 07/31/2018] [Indexed: 01/03/2023]
Abstract
Electrophoretic sample stacking comprises a group of capillary electrophoretic techniques where trace analytes from the sample are concentrated into a short zone (stack). This paper is a continuation of our previous reviews on the topic and brings a survey of more than 120 papers published approximately since the second quarter of 2016 till the first quarter of 2018. It is organized according to the particular stacking principles and includes chapters on concentration adjustment (Kohlrausch) stacking, on stacking techniques based on pH changes, on stacking in electrokinetic chromatography and on other stacking techniques. Where available, explicit information is given about the procedure, electrolyte(s) used, detector employed and sensitivity reached. Not reviewed are papers on transient isotachophoresis which are covered by another review in this issue.
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Affiliation(s)
- Andrea Šlampová
- Institute of Analytical Chemistry of the Czech Academy of Sciences, Brno, Czech Republic
| | - Zdena Malá
- Institute of Analytical Chemistry of the Czech Academy of Sciences, Brno, Czech Republic
| | - Petr Gebauer
- Institute of Analytical Chemistry of the Czech Academy of Sciences, Brno, Czech Republic
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31
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Choi SB, Lombard-Banek C, Muñoz-LLancao P, Manzini MC, Nemes P. Enhanced Peptide Detection Toward Single-Neuron Proteomics by Reversed-Phase Fractionation Capillary Electrophoresis Mass Spectrometry. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2018; 29:913-922. [PMID: 29147852 DOI: 10.1007/s13361-017-1838-1] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2017] [Revised: 10/12/2017] [Accepted: 10/14/2017] [Indexed: 06/07/2023]
Abstract
The ability to detect peptides and proteins in single cells is vital for understanding cell heterogeneity in the nervous system. Capillary electrophoresis (CE) nanoelectrospray ionization (nanoESI) provides high-resolution mass spectrometry (HRMS) with trace-level sensitivity, but compressed separation during CE challenges protein identification by tandem HRMS with limited MS/MS duty cycle. Here, we supplemented ultrasensitive CE-nanoESI-HRMS with reversed-phase (RP) fractionation to enhance identifications from protein digest amounts that approximate to a few mammalian neurons. An ~1 to 20 μg neuronal protein digest was fractionated on a RP column (ZipTip), and 1 ng to 500 pg of peptides were analyzed by a custom-built CE-HRMS system. Compared with the control (no fractionation), RP fractionation improved CE separation (theoretical plates ~274,000 versus 412,000 maximum, resp.), which enhanced detection sensitivity (2.5-fold higher signal-to-noise ratio), minimized co-isolation spectral interferences during MS/MS, and increased the temporal rate of peptide identification by up to ~57%. From 1 ng of protein digest (<5 neurons), CE with RP fractionation identified 737 protein groups (1,753 peptides), or ~480 protein groups (~1,650 peptides) on average per analysis. The approach was scalable to 500 pg of protein digest (~a single neuron), identifying 225 protein groups (623 peptides) in technical triplicates, or 141 protein groups on average per analysis. Among identified proteins, 101 proteins were products of genes that are known to be transcriptionally active in single neurons during early development of the brain, including those involved in synaptic transmission and plasticity and cytoskeletal organization. Graphical abstract ᅟ.
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Affiliation(s)
- Sam B Choi
- Department of Chemistry, The George Washington University, Washington, DC, 20052, USA
| | - Camille Lombard-Banek
- Department of Chemistry, The George Washington University, Washington, DC, 20052, USA
| | - Pablo Muñoz-LLancao
- Institute for Neuroscience, Department of Pharmacology and Physiology, The George Washington University, Washington, DC, 20052, USA
| | - M Chiara Manzini
- Institute for Neuroscience, Department of Pharmacology and Physiology, The George Washington University, Washington, DC, 20052, USA
| | - Peter Nemes
- Department of Chemistry, The George Washington University, Washington, DC, 20052, USA.
- Department of Chemistry and Biochemistry, University of Maryland, College Park, MD, 20742, USA.
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32
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McCool EN, Lubeckyj RA, Shen X, Chen D, Kou Q, Liu X, Sun L. Deep Top-Down Proteomics Using Capillary Zone Electrophoresis-Tandem Mass Spectrometry: Identification of 5700 Proteoforms from the Escherichia coli Proteome. Anal Chem 2018; 90:5529-5533. [PMID: 29620868 DOI: 10.1021/acs.analchem.8b00693] [Citation(s) in RCA: 83] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Capillary zone electrophoresis (CZE)-tandem mass spectrometry (MS/MS) has been recognized as a useful tool for top-down proteomics. However, its performance for deep top-down proteomics is still dramatically lower than widely used reversed-phase liquid chromatography (RPLC)-MS/MS. We present an orthogonal multidimensional separation platform that couples size exclusion chromatography (SEC) and RPLC based protein prefractionation to CZE-MS/MS for deep top-down proteomics of Escherichia coli. The platform generated high peak capacity (∼4000) for separation of intact proteins, leading to the identification of 5700 proteoforms from the Escherichia coli proteome. The data represents a 10-fold improvement in the number of proteoform identifications compared with previous CZE-MS/MS studies and represents the largest bacterial top-down proteomics data set reported to date. The performance of the CZE-MS/MS based platform is comparable to the state-of-the-art RPLC-MS/MS based systems in terms of the number of proteoform identifications and the instrument time.
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Affiliation(s)
- Elijah N McCool
- Department of Chemistry , Michigan State University , 578 S Shaw Lane , East Lansing , Michigan 48824 , United States
| | - Rachele A Lubeckyj
- Department of Chemistry , Michigan State University , 578 S Shaw Lane , East Lansing , Michigan 48824 , United States
| | - Xiaojing Shen
- Department of Chemistry , Michigan State University , 578 S Shaw Lane , East Lansing , Michigan 48824 , United States
| | - Daoyang Chen
- Department of Chemistry , Michigan State University , 578 S Shaw Lane , East Lansing , Michigan 48824 , United States
| | - Qiang Kou
- Department of BioHealth Informatics , Indiana University-Purdue University Indianapolis , 719 Indiana Avenue , Indianapolis , Indiana 46202 , United States
| | - Xiaowen Liu
- Department of BioHealth Informatics , Indiana University-Purdue University Indianapolis , 719 Indiana Avenue , Indianapolis , Indiana 46202 , United States.,Center for Computational Biology and Bioinformatics , Indiana University School of Medicine , 410 W. 10th Street , Indianapolis , Indiana 46202 , United States
| | - Liangliang Sun
- Department of Chemistry , Michigan State University , 578 S Shaw Lane , East Lansing , Michigan 48824 , United States
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33
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Gusenkov S, Stutz H. Top-down and bottom-up characterization of nitrated birch pollen allergen Bet v 1a with CZE hyphenated to an Orbitrap mass spectrometer. Electrophoresis 2018; 39:1190-1200. [PMID: 29389018 PMCID: PMC6175448 DOI: 10.1002/elps.201700413] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2017] [Revised: 01/19/2018] [Accepted: 01/19/2018] [Indexed: 11/19/2022]
Abstract
Tyrosine (Tyr) residues of the major pollen allergen of birch Betula verrucosa, Bet v 1a, were nitrated by peroxynitrite. This modification enhances the allergenicity. Modified tyrosines were identified by analyzing intact allergen variants in combination with top‐down and bottom‐up approaches. Therefore, a laboratory‐built sheath‐liquid assisted ESI interface was applied for hyphenation of CE to an Orbitrap mass spectrometer to localize individual nitration sites. The major focus was on identification of primary nitration sites. The top‐down approach unambiguously identified Tyr 5 as the most prominent modification site. Fragments from the allergen core and the C‐terminal part carried up to three potential nitration sites, respectively. Thus, a bottom‐up approach with tryptic digest was used as a complementary strategy which allowed for the unambiguous localization of nitration sites within the respective peptides. Nitration propensity for individual Tyr residues was addressed by comparison of MS signals of nitrated peptides relative to all cognates of homolog primary sequence. Combined data identified surface exposed Tyr 5 and Tyr 66 as major nitration sites followed by less accessible Tyr 158 whereas Tyr 81, 83 and 150 possess a lower nitration tendency and are apparently modified in variants with higher nitration levels.
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Affiliation(s)
- Sergey Gusenkov
- Department of Biosciences, University of Salzburg, Salzburg, Austria
| | - Hanno Stutz
- Department of Biosciences, University of Salzburg, Salzburg, Austria
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34
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Voeten RLC, Ventouri IK, Haselberg R, Somsen GW. Capillary Electrophoresis: Trends and Recent Advances. Anal Chem 2018; 90:1464-1481. [PMID: 29298038 PMCID: PMC5994730 DOI: 10.1021/acs.analchem.8b00015] [Citation(s) in RCA: 185] [Impact Index Per Article: 30.8] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Robert L C Voeten
- Division of BioAnalytical Chemistry, Department of Chemistry and Pharmaceutical Sciences, Vrije Universiteit Amsterdam , de Boelelaan 1085, 1081 HV Amsterdam, The Netherlands.,TI-COAST , Science Park 904, 1098 XH Amsterdam, The Netherlands
| | - Iro K Ventouri
- TI-COAST , Science Park 904, 1098 XH Amsterdam, The Netherlands.,Analytical Chemistry Group, van't Hoff Institute for Molecular Sciences, University of Amsterdam , Science Park 904, 1098 XH Amsterdam, The Netherlands
| | - Rob Haselberg
- Division of BioAnalytical Chemistry, Department of Chemistry and Pharmaceutical Sciences, Vrije Universiteit Amsterdam , de Boelelaan 1085, 1081 HV Amsterdam, The Netherlands
| | - Govert W Somsen
- Division of BioAnalytical Chemistry, Department of Chemistry and Pharmaceutical Sciences, Vrije Universiteit Amsterdam , de Boelelaan 1085, 1081 HV Amsterdam, The Netherlands
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35
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Affiliation(s)
- Bifan Chen
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
| | - Kyle A. Brown
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
| | - Ziqing Lin
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
- Human Proteomics Program, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
| | - Ying Ge
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
- Human Proteomics Program, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
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36
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Lyon YA, Riggs D, Fornelli L, Compton PD, Julian RR. The Ups and Downs of Repeated Cleavage and Internal Fragment Production in Top-Down Proteomics. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2018; 29:150-157. [PMID: 29038993 PMCID: PMC5786485 DOI: 10.1007/s13361-017-1823-8] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2017] [Revised: 09/08/2017] [Accepted: 09/23/2017] [Indexed: 05/10/2023]
Abstract
Analysis of whole proteins by mass spectrometry, or top-down proteomics, has several advantages over methods relying on proteolysis. For example, proteoforms can be unambiguously identified and examined. However, from a gas-phase ion-chemistry perspective, proteins are enormous molecules that present novel challenges relative to peptide analysis. Herein, the statistics of cleaving the peptide backbone multiple times are examined to evaluate the inherent propensity for generating internal versus terminal ions. The raw statistics reveal an inherent bias favoring production of terminal ions, which holds true regardless of protein size. Importantly, even if the full suite of internal ions is generated by statistical dissociation, terminal ions are predicted to account for at least 50% of the total ion current, regardless of protein size, if there are three backbone dissociations or fewer. Top-down analysis should therefore be a viable approach for examining proteins of significant size. Comparison of the purely statistical analysis with actual top-down data derived from ultraviolet photodissociation (UVPD) and higher-energy collisional dissociation (HCD) reveals that terminal ions account for much of the total ion current in both experiments. Terminal ion production is more favored in UVPD relative to HCD, which is likely due to differences in the mechanisms controlling fragmentation. Importantly, internal ions are not found to dominate from either the theoretical or experimental point of view. Graphical abstract ᅟ.
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Affiliation(s)
- Yana A Lyon
- Department of Chemistry, University of California, Riverside, 501 Big Springs Road, Riverside, CA, 92521, USA
| | - Dylan Riggs
- Department of Chemistry, University of California, Riverside, 501 Big Springs Road, Riverside, CA, 92521, USA
| | - Luca Fornelli
- Departments of Chemistry and Molecular Biosciences, and the Proteomics Center of Excellence, Northwestern University, 2145 N. Sheridan Road, Evanston, IL, 60208, USA
| | - Philip D Compton
- Departments of Chemistry and Molecular Biosciences, and the Proteomics Center of Excellence, Northwestern University, 2145 N. Sheridan Road, Evanston, IL, 60208, USA
| | - Ryan R Julian
- Department of Chemistry, University of California, Riverside, 501 Big Springs Road, Riverside, CA, 92521, USA.
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37
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Schaffer LV, Shortreed MR, Cesnik AJ, Frey BL, Solntsev SK, Scalf M, Smith LM. Expanding Proteoform Identifications in Top-Down Proteomic Analyses by Constructing Proteoform Families. Anal Chem 2017; 90:1325-1333. [PMID: 29227670 DOI: 10.1021/acs.analchem.7b04221] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
In top-down proteomics, intact proteins are analyzed by tandem mass spectrometry and proteoforms, which are defined forms of a protein with specific sequences of amino acids and localized post-translational modifications, are identified using precursor mass and fragmentation data. Many proteoforms that are detected in the precursor scan (MS1) are not selected for fragmentation by the instrument and therefore remain unidentified in typical top-down proteomic workflows. Our laboratory has developed the open source software program Proteoform Suite to analyze MS1-only intact proteoform data. Here, we have adapted it to provide identifications of proteoform masses in precursor MS1 spectra of top-down data, supplementing the top-down identifications obtained using the MS2 fragmentation data. Proteoform Suite performs mass calibration using high-scoring top-down identifications and identifies additional proteoforms using calibrated, accurate intact masses. Proteoform families, the set of proteoforms from a given gene, are constructed and visualized from proteoforms identified by both top-down and intact-mass analyses. Using this strategy, we constructed proteoform families and identified 1861 proteoforms in yeast lysate, yielding an approximately 40% increase over the original 1291 proteoform identifications observed using traditional top-down analysis alone.
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Affiliation(s)
- Leah V Schaffer
- Department of Chemistry, University of Wisconsin , 1101 University Avenue, Madison, Wisconsin 53706, United States
| | - Michael R Shortreed
- Department of Chemistry, University of Wisconsin , 1101 University Avenue, Madison, Wisconsin 53706, United States
| | - Anthony J Cesnik
- Department of Chemistry, University of Wisconsin , 1101 University Avenue, Madison, Wisconsin 53706, United States
| | - Brian L Frey
- Department of Chemistry, University of Wisconsin , 1101 University Avenue, Madison, Wisconsin 53706, United States
| | - Stefan K Solntsev
- Department of Chemistry, University of Wisconsin , 1101 University Avenue, Madison, Wisconsin 53706, United States
| | - Mark Scalf
- Department of Chemistry, University of Wisconsin , 1101 University Avenue, Madison, Wisconsin 53706, United States
| | - Lloyd M Smith
- Department of Chemistry, University of Wisconsin , 1101 University Avenue, Madison, Wisconsin 53706, United States.,Genome Center of Wisconsin, University of Wisconsin , 425G Henry Mall, Room 3420, Madison, Wisconsin 53706, United States
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38
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Cesnik AJ, Shortreed MR, Schaffer LV, Knoener RA, Frey BL, Scalf M, Solntsev SK, Dai Y, Gasch AP, Smith LM. Proteoform Suite: Software for Constructing, Quantifying, and Visualizing Proteoform Families. J Proteome Res 2017; 17:568-578. [PMID: 29195273 DOI: 10.1021/acs.jproteome.7b00685] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
We present an open-source, interactive program named Proteoform Suite that uses proteoform mass and intensity measurements from complex biological samples to identify and quantify proteoforms. It constructs families of proteoforms derived from the same gene, assesses proteoform function using gene ontology (GO) analysis, and enables visualization of quantified proteoform families and their changes. It is applied here to reveal systemic proteoform variations in the yeast response to salt stress.
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Affiliation(s)
- Anthony J Cesnik
- Department of Chemistry, ‡Laboratory of Genetics, and §Genome Center of Wisconsin, University of Wisconsin-Madison , Madison, Wisconsin 53706, United States
| | - Michael R Shortreed
- Department of Chemistry, ‡Laboratory of Genetics, and §Genome Center of Wisconsin, University of Wisconsin-Madison , Madison, Wisconsin 53706, United States
| | - Leah V Schaffer
- Department of Chemistry, ‡Laboratory of Genetics, and §Genome Center of Wisconsin, University of Wisconsin-Madison , Madison, Wisconsin 53706, United States
| | - Rachel A Knoener
- Department of Chemistry, ‡Laboratory of Genetics, and §Genome Center of Wisconsin, University of Wisconsin-Madison , Madison, Wisconsin 53706, United States
| | - Brian L Frey
- Department of Chemistry, ‡Laboratory of Genetics, and §Genome Center of Wisconsin, University of Wisconsin-Madison , Madison, Wisconsin 53706, United States
| | - Mark Scalf
- Department of Chemistry, ‡Laboratory of Genetics, and §Genome Center of Wisconsin, University of Wisconsin-Madison , Madison, Wisconsin 53706, United States
| | - Stefan K Solntsev
- Department of Chemistry, ‡Laboratory of Genetics, and §Genome Center of Wisconsin, University of Wisconsin-Madison , Madison, Wisconsin 53706, United States
| | - Yunxiang Dai
- Department of Chemistry, ‡Laboratory of Genetics, and §Genome Center of Wisconsin, University of Wisconsin-Madison , Madison, Wisconsin 53706, United States
| | - Audrey P Gasch
- Department of Chemistry, ‡Laboratory of Genetics, and §Genome Center of Wisconsin, University of Wisconsin-Madison , Madison, Wisconsin 53706, United States
| | - Lloyd M Smith
- Department of Chemistry, ‡Laboratory of Genetics, and §Genome Center of Wisconsin, University of Wisconsin-Madison , Madison, Wisconsin 53706, United States
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Lubeckyj RA, McCool EN, Shen X, Kou Q, Liu X, Sun L. Single-Shot Top-Down Proteomics with Capillary Zone Electrophoresis-Electrospray Ionization-Tandem Mass Spectrometry for Identification of Nearly 600 Escherichia coli Proteoforms. Anal Chem 2017; 89:12059-12067. [PMID: 29064224 DOI: 10.1021/acs.analchem.7b02532] [Citation(s) in RCA: 63] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Capillary zone electrophoresis-electrospray ionization-tandem mass spectrometry (CZE-ESI-MS/MS) has been recognized as an invaluable platform for top-down proteomics. However, the scale of top-down proteomics using CZE-MS/MS is still limited due to the low loading capacity and narrow separation window of CZE. In this work, for the first time we systematically evaluated the dynamic pH junction method for focusing of intact proteins during CZE-MS. The optimized dynamic pH junction-based CZE-MS/MS approached a 1 μL loading capacity, 90 min separation window, and high peak capacity (∼280) for characterization of an Escherichia coli proteome. The results represent the largest loading capacity and the highest peak capacity of CZE for top-down characterization of complex proteomes. Single-shot CZE-MS/MS identified about 2800 proteoform-spectrum matches, nearly 600 proteoforms, and 200 proteins from the Escherichia coli proteome with spectrum-level false discovery rate (FDR) less than 1%. The number of identified proteoforms in this work is over three times higher than that in previous single-shot CZE-MS/MS studies. Truncations, N-terminal methionine excision, signal peptide removal, and some post-translational modifications including oxidation and acetylation were detected.
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Affiliation(s)
- Rachele A Lubeckyj
- Department of Chemistry, Michigan State University , 578 S Shaw Lane, East Lansing, Michigan 48824, United States
| | - Elijah N McCool
- Department of Chemistry, Michigan State University , 578 S Shaw Lane, East Lansing, Michigan 48824, United States
| | - Xiaojing Shen
- Department of Chemistry, Michigan State University , 578 S Shaw Lane, East Lansing, Michigan 48824, United States
| | - Qiang Kou
- Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis , 719 Indiana Avenue, Indianapolis, Indiana 46202, United States
| | - Xiaowen Liu
- Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis , 719 Indiana Avenue, Indianapolis, Indiana 46202, United States.,Center for Computational Biology and Bioinformatics, Indiana University School of Medicine , 410 W. 10th Street, Indianapolis, Indiana 46202, United States
| | - Liangliang Sun
- Department of Chemistry, Michigan State University , 578 S Shaw Lane, East Lansing, Michigan 48824, United States
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40
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Kašička V. Recent developments in capillary and microchip electroseparations of peptides (2015-mid 2017). Electrophoresis 2017; 39:209-234. [PMID: 28836681 DOI: 10.1002/elps.201700295] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2017] [Revised: 08/15/2017] [Accepted: 08/16/2017] [Indexed: 12/17/2022]
Abstract
The review brings a comprehensive overview of recent developments and applications of high performance capillary and microchip electroseparation methods (zone electrophoresis, isotachophoresis, isoelectric focusing, affinity electrophoresis, electrokinetic chromatography, and electrochromatography) to analysis, microscale isolation, purification, and physicochemical and biochemical characterization of peptides in the years 2015, 2016, and ca. up to the middle of 2017. Advances in the investigation of electromigration properties of peptides and in the methodology of their analysis (sample preseparation, preconcentration and derivatization, adsorption suppression and EOF control, and detection) are described. New developments in particular CE and CEC methods are presented and several types of their applications to peptide analysis are reported: qualitative and quantitative analysis, determination in complex (bio)matrices, monitoring of chemical and enzymatical reactions and physical changes, amino acid, sequence and chiral analysis, and peptide mapping of proteins. Some micropreparative peptide separations are shown and capabilities of CE and CEC methods to provide important physicochemical characteristics of peptides are demonstrated.
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Affiliation(s)
- Václav Kašička
- Institute of Organic Chemistry and Biochemistry, The Czech Academy of Sciences, Prague, Czech Republic
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41
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Liu Y, Wang W, Jia M, Liu R, Liu Q, Xiao H, Li J, Xue Y, Wang Y, Yan C. Recent advances in microscale separation. Electrophoresis 2017; 39:8-33. [DOI: 10.1002/elps.201700271] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2017] [Revised: 08/03/2017] [Accepted: 08/04/2017] [Indexed: 12/14/2022]
Affiliation(s)
- Yuanyuan Liu
- School of Pharmacy; Shanghai Jiao Tong University; Shanghai P. R. China
| | - Weiwei Wang
- School of Pharmacy; Shanghai Jiao Tong University; Shanghai P. R. China
| | - Mengqi Jia
- School of Pharmacy; Shanghai Jiao Tong University; Shanghai P. R. China
| | - Rangdong Liu
- School of Pharmacy; Shanghai Jiao Tong University; Shanghai P. R. China
| | - Qing Liu
- School of Pharmacy; Shanghai Jiao Tong University; Shanghai P. R. China
| | - Han Xiao
- School of Pharmacy; Shanghai Jiao Tong University; Shanghai P. R. China
| | - Jing Li
- Unimicro (shanghai) Technologies Co., Ltd.; Shanghai P. R. China
| | - Yun Xue
- School of Pharmacy; Shanghai Jiao Tong University; Shanghai P. R. China
| | - Yan Wang
- School of Pharmacy; Shanghai Jiao Tong University; Shanghai P. R. China
| | - Chao Yan
- School of Pharmacy; Shanghai Jiao Tong University; Shanghai P. R. China
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42
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Dawod M, Arvin NE, Kennedy RT. Recent advances in protein analysis by capillary and microchip electrophoresis. Analyst 2017; 142:1847-1866. [PMID: 28470231 PMCID: PMC5516626 DOI: 10.1039/c7an00198c] [Citation(s) in RCA: 100] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
This review article describes the significant recent advances in the analysis of proteins by capillary and microchip electrophoresis during the period from mid-2014 to early 2017. This review highlights the progressions, new methodologies, innovative instrumental modifications, and challenges for efficient protein analysis in human specimens, animal tissues, and plant samples. The protein analysis fields covered in this review include analysis of native, reduced, and denatured proteins in addition to Western blotting, protein therapeutics and proteomics.
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Affiliation(s)
- Mohamed Dawod
- Department of Chemistry, University of Michigan, 930 N. University Ave, Ann Arbor, Michigan 48109, USA.
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Cleland TP, DeHart CJ, Fellers RT, VanNispen AJ, Greer JB, LeDuc RD, Parker WR, Thomas PM, Kelleher NL, Brodbelt JS. High-Throughput Analysis of Intact Human Proteins Using UVPD and HCD on an Orbitrap Mass Spectrometer. J Proteome Res 2017; 16:2072-2079. [PMID: 28412815 DOI: 10.1021/acs.jproteome.7b00043] [Citation(s) in RCA: 62] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The analysis of intact proteins (top-down strategy) by mass spectrometry has great potential to elucidate proteoform variation, including patterns of post-translational modifications (PTMs), which may not be discernible by analysis of peptides alone (bottom-up approach). To maximize sequence coverage and localization of PTMs, various fragmentation modes have been developed to produce fragment ions from deep within intact proteins. Ultraviolet photodissociation (UVPD) has recently been shown to produce high sequence coverage and PTM retention on a variety of proteins, with increasing evidence of efficacy on a chromatographic time scale. However, utilization of UVPD for high-throughput top-down analysis to date has been limited by bioinformatics. Here we detected 153 proteins and 489 proteoforms using UVPD and 271 proteins and 982 proteoforms using higher energy collisional dissociation (HCD) in a comparative analysis of HeLa whole-cell lysate by qualitative top-down proteomics. Of the total detected proteoforms, 286 overlapped between the UVPD and HCD data sets, with 68% of proteoforms having C scores greater than 40 for UVPD and 63% for HCD. The average sequence coverage (28 ± 20% for UVPD versus 17 ± 8% for HCD, p < 0.0001) was found to be higher for UVPD than HCD and with a trend toward improvement in q value for the UVPD data set. This study demonstrates the complementarity of UVPD and HCD for more extensive protein profiling and proteoform characterization.
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Affiliation(s)
- Timothy P Cleland
- Department of Chemistry, University of Texas at Austin , Austin, Texas 78712, United States
| | - Caroline J DeHart
- National Resource for Translational and Developmental Proteomics, Northwestern University , Evanston, Illinois 60208, United States
| | - Ryan T Fellers
- National Resource for Translational and Developmental Proteomics, Northwestern University , Evanston, Illinois 60208, United States
| | - Alexandra J VanNispen
- National Resource for Translational and Developmental Proteomics, Northwestern University , Evanston, Illinois 60208, United States
| | - Joseph B Greer
- National Resource for Translational and Developmental Proteomics, Northwestern University , Evanston, Illinois 60208, United States
| | - Richard D LeDuc
- National Resource for Translational and Developmental Proteomics, Northwestern University , Evanston, Illinois 60208, United States
| | - W Ryan Parker
- Department of Chemistry, University of Texas at Austin , Austin, Texas 78712, United States
| | - Paul M Thomas
- National Resource for Translational and Developmental Proteomics, Northwestern University , Evanston, Illinois 60208, United States.,Departments of Chemistry, Molecular Biosciences, and the Feinberg School of Medicine, Northwestern University , Evanston, Illinois 60208, United States
| | - Neil L Kelleher
- National Resource for Translational and Developmental Proteomics, Northwestern University , Evanston, Illinois 60208, United States.,Departments of Chemistry, Molecular Biosciences, and the Feinberg School of Medicine, Northwestern University , Evanston, Illinois 60208, United States
| | - Jennifer S Brodbelt
- Department of Chemistry, University of Texas at Austin , Austin, Texas 78712, United States
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A Comprehensive Guide for Performing Sample Preparation and Top-Down Protein Analysis. Proteomes 2017; 5:proteomes5020011. [PMID: 28387712 PMCID: PMC5489772 DOI: 10.3390/proteomes5020011] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2016] [Revised: 04/04/2017] [Accepted: 04/04/2017] [Indexed: 12/21/2022] Open
Abstract
Methodologies for the global analysis of proteins in a sample, or proteome analysis, have been available since 1975 when Patrick O′Farrell published the first paper describing two-dimensional gel electrophoresis (2D-PAGE). This technique allowed the resolution of single protein isoforms, or proteoforms, into single ‘spots’ in a polyacrylamide gel, allowing the quantitation of changes in a proteoform′s abundance to ascertain changes in an organism′s phenotype when conditions change. In pursuit of the comprehensive profiling of the proteome, significant advances in technology have made the identification and quantitation of intact proteoforms from complex mixtures of proteins more routine, allowing analysis of the proteome from the ‘Top-Down’. However, the number of proteoforms detected by Top-Down methodologies such as 2D-PAGE or mass spectrometry has not significantly increased since O’Farrell’s paper when compared to Bottom-Up, peptide-centric techniques. This article explores and explains the numerous methodologies and technologies available to analyse the proteome from the Top-Down with a strong emphasis on the necessity to analyse intact proteoforms as a better indicator of changes in biology and phenotype. We arrive at the conclusion that the complete and comprehensive profiling of an organism′s proteome is still, at present, beyond our reach but the continuing evolution of protein fractionation techniques and mass spectrometry brings comprehensive Top-Down proteome profiling closer.
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Top-Down Proteomics and Farm Animal and Aquatic Sciences. Proteomes 2016; 4:proteomes4040038. [PMID: 28248248 PMCID: PMC5260971 DOI: 10.3390/proteomes4040038] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2016] [Revised: 11/25/2016] [Accepted: 12/05/2016] [Indexed: 01/16/2023] Open
Abstract
Proteomics is a field of growing importance in animal and aquatic sciences. Similar to other proteomic approaches, top-down proteomics is slowly making its way within the vast array of proteomic approaches that researchers have access to. This opinion and mini-review article is dedicated to top-down proteomics and how its use can be of importance to animal and aquatic sciences. Herein, we include an overview of the principles of top-down proteomics and how it differs regarding other more commonly used proteomic methods, especially bottom-up proteomics. In addition, we provide relevant sections on how the approach was or can be used as a research tool and conclude with our opinions of future use in animal and aquatic sciences.
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