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Chapman EA, Li BH, Krichel B, Chan HJ, Buck KM, Roberts DS, Ge Y. Native Top-Down Mass Spectrometry for Characterizing Sarcomeric Proteins Directly from Cardiac Tissue Lysate. J Am Soc Mass Spectrom 2024; 35:738-745. [PMID: 38422011 PMCID: PMC11098619 DOI: 10.1021/jasms.3c00430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/02/2024]
Abstract
Native top-down mass spectrometry (nTDMS) has emerged as a powerful structural biology tool that can localize post-translational modifications (PTMs), explore ligand-binding interactions, and elucidate the three-dimensional structure of proteins and protein complexes in the gas-phase. Fourier-transform ion cyclotron resonance (FTICR) MS offers distinct capabilities for nTDMS, owing to its ultrahigh resolving power, mass accuracy, and robust fragmentation techniques. Previous nTDMS studies using FTICR have mainly been applied to overexpressed recombinant proteins and protein complexes. Here, we report the first nTDMS study that directly analyzes human heart tissue lysate by direct infusion FTICR MS without prior chromatographic separation strategies. We have achieved comprehensive nTDMS characterization of cardiac contractile proteins that play critical roles in heart contraction and relaxation. Specifically, our results reveal structural insights into ventricular myosin light chain 2 (MLC-2v), ventricular myosin light chain 1 (MLC-1v), and alpha-tropomyosin (α-Tpm) in the sarcomere, the basic contractile unit of cardiac muscle. Furthermore, we verified the calcium (Ca2+) binding domain in MLC-2v. In summary, our nTDMS platform extends the application of FTICR MS to directly characterize the structure, PTMs, and metal-binding of endogenous proteins from heart tissue lysate without prior separation methods.
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Affiliation(s)
- Emily A. Chapman
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - Brad H. Li
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - Boris Krichel
- School of Life Sciences, University of Siegen, 57076, Germany
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, Wisconsin 53705, USA
| | - Hsin-Ju Chan
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - Kevin M. Buck
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - David S. Roberts
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - Ying Ge
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, Wisconsin 53705, USA
- Human Proteomics Program, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin 53705, USA
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Tomioka R, Tomioka A, Ogata K, Chan HJ, Chen LY, Guzman UH, Xuan Y, Olsen JV, Chen YJ, Ishihama Y. Extending the Coverage of Lys-C/Trypsin-Based Bottom-up Proteomics by Cysteine S-Aminoethylation. J Am Soc Mass Spectrom 2024; 35:386-396. [PMID: 38287222 DOI: 10.1021/jasms.3c00448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/31/2024]
Abstract
To improve the coverage in bottom-up proteomics, S-aminoethylation of cysteine residues (AE-Cys) was carried out with 2-bromoethylamine, followed by cleavage with lysyl endopeptidase (Lys-C) or Lys-C/trypsin. A model study with bovine serum albumin showed that the C-terminal side of AE-Cys was successfully cleaved by Lys-C. The frequency of side reactions at amino acids other than Cys was less than that in the case of carbamidomethylation of Cys with iodoacetamide. Proteomic analysis of A549 cell extracts in the data-dependent acquisition mode after AE-Cys modification afforded a greater number of identified protein groups, especially membrane proteins. In addition, label-free quantification of proteins in mouse nonsmall cell lung cancer (NSCLC) tissue in the data-independent acquisition mode after AE-Cys modification showed improved NSCLC pathway coverage and greater reproducibility. Furthermore, the AE-Cys method could identify an epidermal growth factor receptor peptide containing the T790 M mutation site, a well-established lung-cancer-related mutation site that has evaded conventional bottom-up methods. Finally, AE-Cys was found to fully mimic Lys in terms of collision-induced dissociation fragmentation, ion mobility separation, and cleavage by Lys-C/trypsin, except for sulfoxide formation during sample preparation.
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Affiliation(s)
- Ryota Tomioka
- Graduate School of Pharmaceutical Sciences, Kyoto University, Kyoto 606-8501, Japan
- Biopharmaceutical Research Division, Shionogi & Co., Ltd., Toyonaka 561-0825, Osaka, Japan
| | - Ayana Tomioka
- Graduate School of Pharmaceutical Sciences, Kyoto University, Kyoto 606-8501, Japan
| | - Kosuke Ogata
- Graduate School of Pharmaceutical Sciences, Kyoto University, Kyoto 606-8501, Japan
| | - Hsin-Ju Chan
- Institute of Chemistry, Academia Sinica, Taipei 11529, Taiwan
| | - Li-Yu Chen
- Institute of Chemistry, Academia Sinica, Taipei 11529, Taiwan
| | - Ulises H Guzman
- Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen N DK-2200, Denmark
| | - Yue Xuan
- Thermo Fisher Scientific GmbH, Bremen 28199, Germany
| | - Jesper V Olsen
- Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen N DK-2200, Denmark
| | - Yu-Ju Chen
- Institute of Chemistry, Academia Sinica, Taipei 11529, Taiwan
| | - Yasushi Ishihama
- Graduate School of Pharmaceutical Sciences, Kyoto University, Kyoto 606-8501, Japan
- Laboratory of Clinical and Analytical Chemistry, National Institute of Biomedical Innovation, Health and Nutrition, Ibaraki 567-0085, Osaka, Japan
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Larson EJ, Pergande MR, Moss ME, Rossler KJ, Wenger RK, Krichel B, Josyer H, Melby JA, Roberts DS, Pike K, Shi Z, Chan HJ, Knight B, Rogers HT, Brown KA, Ong IM, Jeong K, Marty MT, McIlwain SJ, Ge Y. MASH Native: a unified solution for native top-down proteomics data processing. Bioinformatics 2023; 39:btad359. [PMID: 37294807 PMCID: PMC10283151 DOI: 10.1093/bioinformatics/btad359] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 04/13/2023] [Accepted: 06/07/2023] [Indexed: 06/11/2023] Open
Abstract
MOTIVATION Native top-down proteomics (nTDP) integrates native mass spectrometry (nMS) with top-down proteomics (TDP) to provide comprehensive analysis of protein complexes together with proteoform identification and characterization. Despite significant advances in nMS and TDP software developments, a unified and user-friendly software package for analysis of nTDP data remains lacking. RESULTS We have developed MASH Native to provide a unified solution for nTDP to process complex datasets with database searching capabilities in a user-friendly interface. MASH Native supports various data formats and incorporates multiple options for deconvolution, database searching, and spectral summing to provide a "one-stop shop" for characterizing both native protein complexes and proteoforms. AVAILABILITY AND IMPLEMENTATION The MASH Native app, video tutorials, written tutorials, and additional documentation are freely available for download at https://labs.wisc.edu/gelab/MASH_Explorer/MASHSoftware.php. All data files shown in user tutorials are included with the MASH Native software in the download .zip file.
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Affiliation(s)
- Eli J Larson
- Department of Chemistry, University of Wisconsin–Madison, Madison, WI 53705, United States
| | - Melissa R Pergande
- Department of Cell and Regenerative Biology, University of Wisconsin–Madison, Madison, WI 53705, United States
| | - Michelle E Moss
- Department of Cell and Regenerative Biology, University of Wisconsin–Madison, Madison, WI 53705, United States
| | - Kalina J Rossler
- Department of Cell and Regenerative Biology, University of Wisconsin–Madison, Madison, WI 53705, United States
| | - R Kent Wenger
- Department of Cell and Regenerative Biology, University of Wisconsin–Madison, Madison, WI 53705, United States
- Human Proteomics Program, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI 53705, United States
| | - Boris Krichel
- Department of Cell and Regenerative Biology, University of Wisconsin–Madison, Madison, WI 53705, United States
| | - Harini Josyer
- Department of Cell and Regenerative Biology, University of Wisconsin–Madison, Madison, WI 53705, United States
| | - Jake A Melby
- Department of Chemistry, University of Wisconsin–Madison, Madison, WI 53705, United States
| | - David S Roberts
- Department of Chemistry, University of Wisconsin–Madison, Madison, WI 53705, United States
| | - Kyndalanne Pike
- Department of Chemistry, University of Wisconsin–Madison, Madison, WI 53705, United States
| | - Zhuoxin Shi
- Department of Cell and Regenerative Biology, University of Wisconsin–Madison, Madison, WI 53705, United States
| | - Hsin-Ju Chan
- Department of Chemistry, University of Wisconsin–Madison, Madison, WI 53705, United States
| | - Bridget Knight
- Department of Chemistry, University of Wisconsin–Madison, Madison, WI 53705, United States
| | - Holden T Rogers
- Department of Chemistry, University of Wisconsin–Madison, Madison, WI 53705, United States
| | - Kyle A Brown
- Department of Chemistry, University of Wisconsin–Madison, Madison, WI 53705, United States
| | - Irene M Ong
- Department of Biostatistics and Medical Informatics, University of Wisconsin–Madison, Madison, WI 53705, United States
- University of Wisconsin Carbone Cancer Center, University of Wisconsin-Madison, Madison, WI 53705, United States
- Department of Obstetrics and Gynecology, University of Wisconsin–Madison, Madison, WI 53705, United States
| | - Kyowon Jeong
- Department of Applied Bioinformatics, University of Tübingen, Tübingen 72704, Germany
| | - Michael T Marty
- Department of Chemistry and Biochemistry, University of Arizona, Tucson, AZ 85719, United States
| | - Sean J McIlwain
- Department of Biostatistics and Medical Informatics, University of Wisconsin–Madison, Madison, WI 53705, United States
- University of Wisconsin Carbone Cancer Center, University of Wisconsin-Madison, Madison, WI 53705, United States
| | - Ying Ge
- Department of Chemistry, University of Wisconsin–Madison, Madison, WI 53705, United States
- Department of Cell and Regenerative Biology, University of Wisconsin–Madison, Madison, WI 53705, United States
- Human Proteomics Program, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI 53705, United States
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Larson EJ, Pergande MR, Moss ME, Rossler KJ, Wenger RK, Krichel B, Josyer H, Melby JA, Roberts DS, Pike K, Shi Z, Chan HJ, Knight B, Rogers HT, Brown KA, Ong IM, Jeong K, Marty M, McIlwain SJ, Ge Y. MASH Native: A Unified Solution for Native Top-Down Proteomics Data Processing. bioRxiv 2023:2023.01.02.522513. [PMID: 36711733 PMCID: PMC9881860 DOI: 10.1101/2023.01.02.522513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Native top-down proteomics (nTDP) integrates native mass spectrometry (nMS) with top-down proteomics (TDP) to provide comprehensive analysis of protein complexes together with proteoform identification and characterization. Despite significant advances in nMS and TDP software developments, a unified and user-friendly software package for analysis of nTDP data remains lacking. Herein, we have developed MASH Native to provide a unified solution for nTDP to process complex datasets with database searching capabilities in a user-friendly interface. MASH Native supports various data formats and incorporates multiple options for deconvolution, database searching, and spectral summing to provide a one-stop shop for characterizing both native protein complexes and proteoforms. The MASH Native app, video tutorials, written tutorials and additional documentation are freely available for download at https://labs.wisc.edu/gelab/MASH_Explorer/MASHNativeSoftware.php . All data files shown in user tutorials are included with the MASH Native software in the download .zip file.
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Siyal AA, Chen ESW, Chan HJ, Kitata RB, Yang JC, Tu HL, Chen YJ. Sample Size-Comparable Spectral Library Enhances Data-Independent Acquisition-Based Proteome Coverage of Low-Input Cells. Anal Chem 2021; 93:17003-17011. [PMID: 34904835 DOI: 10.1021/acs.analchem.1c03477] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Despite advancements of data-independent acquisition mass spectrometry (DIA-MS) to provide comprehensive and reproducible proteome profiling, its utility in very low-input samples is limited. Due to different proteome complexities and corresponding peptide ion abundances, the conventional LC-MS/MS acquisition and widely used large-scale DIA libraries may not be suitable for the micro-nanogram samples. In this study, we report a sample size-comparable library-based DIA approach to enhance the proteome coverage of low-input nanoscale samples (i.e., nanogram cells, ∼5-50 cells). By constructing sample size-comparable libraries, 2380 and 3586 protein groups were identified from as low as 0.75 (∼5 cells) and 1.5 ng (∼10 cells), respectively, highlighting one of the highest proteome coverage with good reproducibility (86%-99% in triplicate results). For the 0.75 ng sample (∼5 cells), significantly superior identification (2380 proteins) was achieved by small-size library-based DIA, compared to 1908, 1749, and 107 proteins identified from medium-size and large-size libraries and a lung cancer resource spectral library, respectively. A similar trend was observed using a different instrument and data analysis pipeline, indicating the generalized conclusion of the approach. Furthermore, the small-size library uniquely identified 518 (22%) proteins in the low-abundant region and spans over a 5-order dynamic range. Spectral similarity analysis revealed that the fragmentation ion pattern in the DIA-MS/MS spectra of the dataset and spectral library play crucial roles for mapping low abundant proteins. With these spectral libraries made freely available, the optimized library-based DIA strategy and DIA digital map will advance quantitative proteomics applications for mass-limited samples.
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Affiliation(s)
- Asad Ali Siyal
- Institute of Chemistry, Academia Sinica, Taipei 115, Taiwan.,Chemical Biology and Molecular Biophysics Program, Taiwan International Graduate Program, Academia Sinica, Taipei 115, Taiwan.,Department of Chemistry, National Tsing Hua University, Hsinchu 300, Taiwan
| | - Eric Sheng-Wen Chen
- Institute of Chemistry, Academia Sinica, Taipei 115, Taiwan.,Research Center for Cancer Biology, China Medical University, Taichung 40402, Taiwan
| | - Hsin-Ju Chan
- Institute of Chemistry, Academia Sinica, Taipei 115, Taiwan.,Department of Chemistry, National Taiwan University, Taipei 106, Taiwan
| | | | - Jhih-Ci Yang
- Institute of Chemistry, Academia Sinica, Taipei 115, Taiwan.,Sustainable Chemical Science and Technology, Taiwan International Graduate Program, Academia Sinica and National Yang Ming Chiao Tung University, Taipei 11529, Taiwan.,Department of Applied Chemistry, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan
| | - Hsiung-Lin Tu
- Institute of Chemistry, Academia Sinica, Taipei 115, Taiwan.,Chemical Biology and Molecular Biophysics Program, Taiwan International Graduate Program, Academia Sinica, Taipei 115, Taiwan
| | - Yu-Ju Chen
- Institute of Chemistry, Academia Sinica, Taipei 115, Taiwan.,Chemical Biology and Molecular Biophysics Program, Taiwan International Graduate Program, Academia Sinica, Taipei 115, Taiwan.,Department of Chemistry, National Taiwan University, Taipei 106, Taiwan.,Sustainable Chemical Science and Technology, Taiwan International Graduate Program, Academia Sinica and National Yang Ming Chiao Tung University, Taipei 11529, Taiwan
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Chan HJ, Lin XH, Fan SY, Ru Hwu J, Tan KT. Rapid and Selective Labeling of Endogenous Transmembrane Proteins in Living Cells with a Difluorophenyl Ester Affinity-Based Probe. Chem Asian J 2020; 15:3416-3420. [PMID: 32931625 DOI: 10.1002/asia.202001049] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Indexed: 12/28/2022]
Abstract
The long-term stability of affinity-based protein labeling probes is crucial to obtain reproducible protein labeling results. However, highly stable probes generally suffer from low protein labeling efficiency and pose significant challenges when labeling low abundance native proteins in living cells. In this paper, we report that protein labeling probes based on an ortho-difluorophenyl ester reactive module exhibit long-term stability in DMSO stock solution and aqueous buffer, yet they can undergo rapid and selective labeling of native proteins. This novel electrophile can be customized with a wide range of different protein ligands and is particularly well-suited for the labeling and imaging of transmembrane proteins. With this probe design, the identity and relative levels of basal and hypoxia-induced transmembrane carbonic anhydrases were revealed by live cell imaging and in-gel fluorescence analysis. We believe that the extension of this difluorophenyl ester reactive module would allow for the specific labeling of various endogenous membrane proteins, facilitating in-depth studies of their distribution and functions in biological processes.
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Affiliation(s)
- Hsin-Ju Chan
- Department of Chemistry, National Tsing Hua University, 101 Section 2, Kuang Fu Road, Hsinchu, 30013, Taiwan (Republic of China
| | - Xin-Hui Lin
- Department of Chemistry, National Tsing Hua University, 101 Section 2, Kuang Fu Road, Hsinchu, 30013, Taiwan (Republic of China
| | - Syuan-Yun Fan
- Department of Chemistry, National Tsing Hua University, 101 Section 2, Kuang Fu Road, Hsinchu, 30013, Taiwan (Republic of China
| | - Jih Ru Hwu
- Department of Chemistry, National Tsing Hua University, 101 Section 2, Kuang Fu Road, Hsinchu, 30013, Taiwan (Republic of China.,Frontier Research Center on Fundamental and Applied Sciences of Matters, National Tsing Hua University, 101 Section 2, Kuang Fu Road, Hsinchu, 30013, Taiwan (Republic of China
| | - Kui-Thong Tan
- Department of Chemistry, National Tsing Hua University, 101 Section 2, Kuang Fu Road, Hsinchu, 30013, Taiwan (Republic of China.,Frontier Research Center on Fundamental and Applied Sciences of Matters, National Tsing Hua University, 101 Section 2, Kuang Fu Road, Hsinchu, 30013, Taiwan (Republic of China.,Department of Medicinal and Applied Chemistry, Kaohsiung Medical University, Kaohsiung, 807, Taiwan (Republic of China
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Abstract
AIM The study investigated the three symptoms of burnout among hospital nurses and examined the buffering effects of optimism and proactive coping in relation to burnout. BACKGROUND Nursing is a profession that can easily lead to burnout. Burnout has been one of the most investigated work outcomes in current research. Previous research has largely ignored the positive influence of individuals on job outcomes and has not tested a constructive framework that might facilitate interventions to prevent burnout. METHOD A cross-sectional survey of 314 staff nurses in general hospitals in Taiwan. Participants completed a set of questionnaires with demographic information. FINDING The findings suggested that higher levels of proactive coping behaviours and optimism were associated with lower levels of burnout. Optimism was found to have the strongest relationship with the decreased personal accomplishment of burnout. CONCLUSION The findings of this study confirmed the importance of optimism and proactive coping in prevention of symptoms of burnout. IMPLICATIONS FOR NURSING MANAGEMENT The results of this study provided important recommendations regarding stress management interventions for health-care managers, nurses, psychologists and human resource staff in the reduction of burnout to promote mental health in an organisation.
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Affiliation(s)
- Yuhsuan Chang
- College of Management, Yuan Ze University, Chungli, Taoyuan, Taiwan
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Liao YD, Huang HC, Chan HJ, Kuo SJ. Large-scale preparation of a ribonuclease from Rana catesbeiana (bullfrog) oocytes and characterization of its specific cytotoxic activity against tumor cells. Protein Expr Purif 1996; 7:194-202. [PMID: 8812861 DOI: 10.1006/prep.1996.0027] [Citation(s) in RCA: 31] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Rana catesbeiana ribonuclease (RC-RNase) is a pyrimidine-guanine sequence-specific ribonuclease found only in R. catesbeiana (bullfrog) oocytes, but not in other organs. The protein is localized in the yolk granules of oocytes but not in other organelles, as detected by immunohistochemistry. More than 99% of RC-RNase was found in the yolk granule pellet when a mild separation method was employed under physiological conditions. The ribonuclease was purified by precipitation of yolk granules, extraction of RC-RNase with 0.09 M NaCl, selective removal of impurities by Hepes buffer, and chromatographies on phosphocellulose and carboxymethyl cellulose columns. Three milligrams of RC-RNase was purified from a 1-g pellet of yolk granules prepared from 2 g of ovary tissue. Therefore, 150 milligrams of RC-RNase could be obtained from a mature female bullfrog (600 g in weight) which had 100 g of ovary tissue. The properties of RC-RNase isolated from yolk granules tested so far are identical to those of RC-RNase isolated from the cytosolic fraction and similar to those of a sialic acid-binding lectin from bullfrog oocytes. To investigate the possible role of RC-RNase in the regulation of cell growth and differentiation during embryogenesis, its cytotoxic activity against various cell lines was examined. The degradation of ribosomal RNA was found in RC-RNase-treated HeLa cells. However, both events were not found in RNase A-treated HeLa cells. Therefore, RC-RNase is proposed to have both ribonucleolytic and cytotoxic activity and a specific receptor on the tumor cell surface is suspected to be involved in the recognition and binding, and possibly entry of RC-RNase.
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Affiliation(s)
- Y D Liao
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan, Republic of China
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Abstract
Microwave fixed liver and kidney tissues were examined by electron microscopy. It was found that the preservation of fine structure of these tissues by this method is equal to that processed by routine methods. No difficulty was encountered in sectioning microwave fixed tissue blocks. It is obvious that microwave fixation is a faster and more efficient method.
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