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Lu L, Ye Z, Zhang R, Olsen JV, Yuan Y, Mao Y. ETD-Based Proteomic Profiling Improves Arginine Methylation Identification and Reveals Novel PRMT5 Substrates. J Proteome Res 2024; 23:1014-1027. [PMID: 38272855 DOI: 10.1021/acs.jproteome.3c00724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2024]
Abstract
Protein arginine methylations are important post-translational modifications (PTMs) in eukaryotes, regulating many biological processes. However, traditional collision-based mass spectrometry methods inevitably cause neutral losses of methylarginines, preventing the deep mining of biologically important sites. Herein we developed an optimized mass spectrometry workflow based on electron-transfer dissociation (ETD) with supplemental activation for proteomic profiling of arginine methylation in human cells. Using symmetric dimethylarginine (sDMA) as an example, we show that the ETD-based optimized workflow significantly improved the identification and site localization of sDMA. Quantitative proteomics identified 138 novel sDMA sites as potential PRMT5 substrates in HeLa cells. Further biochemical studies on SERBP1, a newly identified PRMT5 substrate, confirmed the coexistence of sDMA and asymmetric dimethylarginine in the central RGG/RG motif, and loss of either methylation caused increased the recruitment of SERBP1 to stress granules under oxidative stress. Overall, our optimized workflow not only enabled the identification and localization of extensive, nonoverlapping sDMA sites in human cells but also revealed novel PRMT5 substrates whose sDMA may play potentially important biological functions.
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Affiliation(s)
- Lingzi Lu
- School of Pharmaceutical Sciences, Guangdong Provincial Key Laboratory of Chiral Molecule and Drug Discovery, Sun Yat-sen University, Guangzhou 510006, China
| | - Zilu Ye
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
| | - Rou Zhang
- School of Pharmaceutical Sciences, Guangdong Provincial Key Laboratory of Chiral Molecule and Drug Discovery, Sun Yat-sen University, Guangzhou 510006, China
| | - Jesper V Olsen
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
| | - Yanqiu Yuan
- School of Pharmaceutical Sciences, Guangdong Provincial Key Laboratory of Chiral Molecule and Drug Discovery, Sun Yat-sen University, Guangzhou 510006, China
| | - Yang Mao
- School of Pharmaceutical Sciences, Guangdong Provincial Key Laboratory of Chiral Molecule and Drug Discovery, Sun Yat-sen University, Guangzhou 510006, China
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Liu C, Si X, Yan S, Zhao X, Qian X, Ying W, Zhao L. Development of the C12Im-Cl-assisted method for rapid sample preparation in proteomic application. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2021; 13:776-781. [PMID: 33492312 DOI: 10.1039/d0ay02079f] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Chromatography and mass spectrometry (MS) techniques have greatly improved the power of proteomic analyses. However, sample processing methods used prior to MS, including protein extraction and digestion, remain bottlenecks in the large-scale clinical application of proteomics. Ionic liquids, composed entirely of ions, have high solubility in various solvents. In this study, the effects of the cationic surfactant 1-dodecyl-3-methylimidazolium chloride (C12Im-Cl) on protein digestion were evaluated for clinical proteomic applications. C12Im-Cl was compatible with trypsin and reduced the protein digestion time from 16 h to 1 h. Residual C12Im-Cl was easily removed with a strong anion exchange membrane before MS. We evaluated the performance of C12Im-Cl extraction and rapid protein digestion using formalin-fixed paraffin-embedded liver cancer tissues. The number of proteins and peptides identified was nearly equal to that identified by the traditional filter-aided sample preparation method (2705 vs. 2739 and 16 682 vs. 17 214). In general, the C12Im-Cl-aided rapid sample preparation method is promising for proteomic applications.
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Affiliation(s)
- Chang Liu
- Beijing Key Laboratory of Environmental and Viral Oncology, Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China.
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Proteomic approaches for the profiling of ubiquitylation events and their applications in drug discovery. J Proteomics 2020; 231:103996. [PMID: 33017648 DOI: 10.1016/j.jprot.2020.103996] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Revised: 08/27/2020] [Accepted: 09/27/2020] [Indexed: 01/23/2023]
Abstract
Protein ubiquitylation regulates almost all aspects of the biological processes including gene expression, DNA repair, cell proliferation and apoptosis in eukaryotic cells. Dysregulation of protein ubiquitylation caused by abnormal expression of enzymes in the ubiquitin system results in the onset of many diseases including cancer, neurodegenerative diseases, and metabolic syndromes. Therefore, targeting the ubiquitin system becomes a promising research area in drug discovery. Identification of protein ubiquitylation sites is critical for revealing the key ubiquitylation events associated with diseases and specific signaling pathways and for elucidating the biological functions of the specific ubiquitylation events. Many approaches that enrich for the ubiquitylated proteins and ubiquitylated peptides at the protein and peptide levels have been developed to facilitate their identification by MS. In this paper, we will review the proteomic approaches available for the identification of ubiquitylation events at the proteome scale and discuss their advantages and limitations. We will also brief the application of the profiling of ubiquitylation events in drug target discovery and in target validation for proteolysis-targeting chimera (PROTAC). Possible future research directions in this field will also be discussed. SIGNIFICANCE: Ubiquitylation plays critical roles in regulating many biological processes in eukaryotic cells. Identification of ubiquitylation sites can provide the essential information for the functional study of the specific modified substrates. Since ubiquitylated proteins have much lower abundance than non-ubiquitylated proteins, enrichment of ubiquitylated proteins or peptides is critical for their identification by MS. This review focuses on different enrichment approaches that facilitate their isolation and identification by MS and discusses the advantages and drawbacks of these approaches. The application of the profiling of ubiquitylation events in drug target discovery and future research directions will be beneficial to the research community.
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Xu F, Yu L, Peng X, Zhang J, Li S, Liu S, Yin Y, An Z, Wang F, Fu Y, Xu P. Unambiguous Phosphosite Localization through the Combination of Trypsin and LysargiNase Mirror Spectra in a Large-Scale Phosphoproteome Study. J Proteome Res 2020; 19:2185-2194. [PMID: 32388983 DOI: 10.1021/acs.jproteome.9b00562] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Understanding of the kinase-guided signaling pathways requires the identification and analysis of phosphosites. Mass spectrometry (MS)-based phosphoproteomics is a rapid and highly sensitive approach for high-throughput identification of phosphosites. However, phosphosite determination from MS data with a single protease is more likely to be ambiguous, regardless of the strategy used for phosphopeptide detection. Here, we explored the application of LysargiNase, which was recently reported to mirror trypsin in specificity to cleave arginine and lysine residues exclusively at the N-terminal side. We found that the combination of trypsin and LysargiNase mirror spectra resulted in higher ion coverage in MS2 spectra. The median ion coverage values of b ions in tryptic spectra, LysargiNase spectra, and combined spectra are 8.3, 20.5, and 25.0%, respectively. As for the median ion coverage of y ions, these values are 27.8, 10.0, and 32.3%. Higher ion coverage was helpful to pinpoint the precise phosphosites. Compared to trypsin alone, the combined use of trypsin and LysargiNase mirror spectra enabled 67.1% of mirror spectra with unreliable scores (confidence score <0.75) to become reliable (confidence score ≥ 0.75). Meanwhile, all of the mirror peptide-spectrum matches (PSMs) with multiple potential phosphosites from trypsin and LysargiNase digests could be assigned one precise phosphosite after applying the combination strategy. Besides, the combination strategy could identify more novel phosphosites than the union strategy did. We synthesized three phosphopeptides corresponding to the three novel phosphosites and validated the reliability of the identification. Taken together, our data demonstrated the distinctive potential of the combination strategy presented here for unambiguous phosphosite localization (Project accession PXD011178).
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Affiliation(s)
- Feng Xu
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences Beijing, Beijing Institute of Lifeomics, Beijing 102206, China
| | - Li Yu
- National Center for Mathematics and Interdisciplinary Sciences, Key Laboratory of Random Complex Structures and Data Science, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100864, China.,School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xuehui Peng
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences Beijing, Beijing Institute of Lifeomics, Beijing 102206, China.,Key Laboratory of Combinatorial Biosynthesis and Drug Discovery of Ministry of Education, School of Pharmaceutical Sciences, School of Medicine, Wuhan University, Wuhan430072, China
| | - Junling Zhang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences Beijing, Beijing Institute of Lifeomics, Beijing 102206, China
| | - Suzhen Li
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences Beijing, Beijing Institute of Lifeomics, Beijing 102206, China.,Anhui Medical University, Hefei 230032, China
| | - Shu Liu
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences Beijing, Beijing Institute of Lifeomics, Beijing 102206, China
| | - Yanan Yin
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery of Ministry of Education, School of Pharmaceutical Sciences, School of Medicine, Wuhan University, Wuhan430072, China
| | - Zhiwu An
- National Center for Mathematics and Interdisciplinary Sciences, Key Laboratory of Random Complex Structures and Data Science, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100864, China.,School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Fuqiang Wang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences Beijing, Beijing Institute of Lifeomics, Beijing 102206, China
| | - Yan Fu
- National Center for Mathematics and Interdisciplinary Sciences, Key Laboratory of Random Complex Structures and Data Science, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100864, China.,School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ping Xu
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences Beijing, Beijing Institute of Lifeomics, Beijing 102206, China.,Anhui Medical University, Hefei 230032, China.,Key Laboratory of Combinatorial Biosynthesis and Drug Discovery of Ministry of Education, School of Pharmaceutical Sciences, School of Medicine, Wuhan University, Wuhan430072, China
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Wilson JP, Ipsaro JJ, Del Giudice SN, Turna NS, Gauss CM, Dusenbury KH, Marquart K, Rivera KD, Pappin DJ. Tryp-N: A Thermostable Protease for the Production of N-terminal Argininyl and Lysinyl Peptides. J Proteome Res 2020; 19:1459-1469. [PMID: 32141294 DOI: 10.1021/acs.jproteome.9b00713] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Bottom-up proteomics is a mainstay in protein identification and analysis. These studies typically employ proteolytic treatment of biological samples to generate suitably sized peptides for tandem mass spectrometric (MS) analysis. In MS, fragmentation of peptides is largely driven by charge localization. Consequently, peptides with basic centers exclusively on their N-termini produce mainly b-ions. Thus, it was long ago realized that proteases that yield such peptides would be valuable proteomic tools for achieving simplified peptide fragmentation patterns and peptide assignment. Work by several groups has identified such proteases, however, structural analysis of these suggested that enzymatic optimization was possible. We therefore endeavored to find enzymes that could provide enhanced activity and versatility while maintaining specificity. Using these previously described proteases as informatic search templates, we discovered and then characterized a thermophilic metalloprotease with N-terminal specificity for arginine and lysine. This enzyme, dubbed Tryp-N, affords many advantages including improved thermostability, solvent and detergent tolerance, and rapid digestion time.
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Affiliation(s)
- John P Wilson
- Cold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, New York 11724, United States
| | - Jonathan J Ipsaro
- Cold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, New York 11724, United States
| | - Samantha N Del Giudice
- Cold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, New York 11724, United States
| | - Nikita Saha Turna
- Cold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, New York 11724, United States
| | - Carla M Gauss
- Cold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, New York 11724, United States
| | - Katharine H Dusenbury
- Cold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, New York 11724, United States
| | - Krisann Marquart
- Cold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, New York 11724, United States
| | - Keith D Rivera
- Cold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, New York 11724, United States
| | - Darryl J Pappin
- Cold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, New York 11724, United States
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