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Hu H, Hu W, Guo AD, Zhai L, Ma S, Nie HJ, Zhou BS, Liu T, Jia X, Liu X, Yao X, Tan M, Chen XH. Spatiotemporal and direct capturing global substrates of lysine-modifying enzymes in living cells. Nat Commun 2024; 15:1465. [PMID: 38368419 PMCID: PMC10874396 DOI: 10.1038/s41467-024-45765-3] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 02/04/2024] [Indexed: 02/19/2024] Open
Abstract
Protein-modifying enzymes regulate the dynamics of myriad post-translational modification (PTM) substrates. Precise characterization of enzyme-substrate associations is essential for the molecular basis of cellular function and phenotype. Methods for direct capturing global substrates of protein-modifying enzymes in living cells are with many challenges, and yet largely unexplored. Here, we report a strategy to directly capture substrates of lysine-modifying enzymes via PTM-acceptor residue crosslinking in living cells, enabling global profiling of substrates of PTM-enzymes and validation of PTM-sites in a straightforward manner. By integrating enzymatic PTM-mechanisms, and genetically encoding residue-selective photo-crosslinker into PTM-enzymes, our strategy expands the substrate profiles of both bacterial and mammalian lysine acylation enzymes, including bacterial lysine acylases PatZ, YiaC, LplA, TmcA, and YjaB, as well as mammalian acyltransferases GCN5 and Tip60, leading to discovery of distinct yet functionally important substrates and acylation sites. The concept of direct capturing substrates of PTM-enzymes via residue crosslinking may extend to the other types of amino acid residues beyond lysine, which has the potential to facilitate the investigation of diverse types of PTMs and substrate-enzyme interactive proteomics.
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Affiliation(s)
- Hao Hu
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
| | - Wei Hu
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
| | - An-Di Guo
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
| | - Linhui Zhai
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
- Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, 200434, China
| | - Song Ma
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
| | - Hui-Jun Nie
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
| | - Bin-Shan Zhou
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
| | - Tianxian Liu
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
| | - Xinglong Jia
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
| | - Xing Liu
- MOE Key Laboratory for Cellular Dynamics and Hefei National Center for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, 230026, China
| | - Xuebiao Yao
- MOE Key Laboratory for Cellular Dynamics and Hefei National Center for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, 230026, China
| | - Minjia Tan
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Zhongshan Institute for Drug Discovery, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Zhongshan, Guangdong, 528400, China.
| | - Xiao-Hua Chen
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- School of Pharmaceutical Science and Technology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, 310024, China.
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Chen Y, Wu J, Zhai L, Zhang T, Yin H, Gao H, Zhao F, Wang Z, Yang X, Jin M, Huang B, Ding X, Li R, Yang J, He Y, Wang Q, Wang W, Kloeber JA, Li Y, Hao B, Zhang Y, Wang J, Tan M, Li K, Wang P, Lou Z, Yuan J. Metabolic regulation of homologous recombination repair by MRE11 lactylation. Cell 2024; 187:294-311.e21. [PMID: 38128537 DOI: 10.1016/j.cell.2023.11.022] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2022] [Revised: 08/09/2023] [Accepted: 11/18/2023] [Indexed: 12/23/2023]
Abstract
Lactylation is a lactate-induced post-translational modification best known for its roles in epigenetic regulation. Herein, we demonstrate that MRE11, a crucial homologous recombination (HR) protein, is lactylated at K673 by the CBP acetyltransferase in response to DNA damage and dependent on ATM phosphorylation of the latter. MRE11 lactylation promotes its binding to DNA, facilitating DNA end resection and HR. Inhibition of CBP or LDH downregulated MRE11 lactylation, impaired HR, and enhanced chemosensitivity of tumor cells in patient-derived xenograft and organoid models. A cell-penetrating peptide that specifically blocks MRE11 lactylation inhibited HR and sensitized cancer cells to cisplatin and PARPi. These findings unveil lactylation as a key regulator of HR, providing fresh insights into the ways in which cellular metabolism is linked to DSB repair. They also imply that the Warburg effect can confer chemoresistance through enhancing HR and suggest a potential therapeutic strategy of targeting MRE11 lactylation to mitigate the effects.
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Affiliation(s)
- Yuping Chen
- State Key Laboratory of Cardiology and Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China; Department of Biochemistry and Molecular Biology, Tongji University School of Medicine, Shanghai 200120, China
| | - Jinhuan Wu
- State Key Laboratory of Cardiology and Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China; Department of Biochemistry and Molecular Biology, Tongji University School of Medicine, Shanghai 200120, China
| | - Linhui Zhai
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China; University of Chinese Academy of Sciences, Beijing, China
| | - Tingting Zhang
- Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, China
| | - Hui Yin
- Department of Thoracic Surgery, The First Affiliated Hospital of Shaoyang University, Shaoyang 422001, China
| | - Huanyao Gao
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN 55905, USA
| | - Fei Zhao
- Department of Oncology, Mayo Clinic, Rochester, MN 55905, USA
| | - Zhe Wang
- State Key Laboratory of Cardiology and Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China; Department of Biochemistry and Molecular Biology, Tongji University School of Medicine, Shanghai 200120, China
| | - Xiaoning Yang
- Institute of Materia Medica, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, China
| | - Mingpeng Jin
- State Key Laboratory of Cardiology and Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China; Department of Biochemistry and Molecular Biology, Tongji University School of Medicine, Shanghai 200120, China
| | - Bingsong Huang
- State Key Laboratory of Cardiology and Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China; Department of Biochemistry and Molecular Biology, Tongji University School of Medicine, Shanghai 200120, China
| | - Xin Ding
- State Key Laboratory of Cardiology and Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China; Department of Biochemistry and Molecular Biology, Tongji University School of Medicine, Shanghai 200120, China
| | - Rui Li
- State Key Laboratory of Cardiology and Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China; Department of Biochemistry and Molecular Biology, Tongji University School of Medicine, Shanghai 200120, China
| | - Jie Yang
- Department of Thoracic Surgery, The First Affiliated Hospital of Nanchang University, Nanchang 330006, China
| | - Yiming He
- State Key Laboratory of Cardiology and Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China; Department of Biochemistry and Molecular Biology, Tongji University School of Medicine, Shanghai 200120, China
| | - Qianwen Wang
- State Key Laboratory of Cardiology and Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China; Department of Biochemistry and Molecular Biology, Tongji University School of Medicine, Shanghai 200120, China
| | - Weibin Wang
- Department of Radiation Medicine, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China
| | - Jake A Kloeber
- Department of Oncology, Mayo Clinic, Rochester, MN 55905, USA; Mayo Clinic Medical Scientist Training Program, Mayo Clinic Alix School of Medicine and Mayo Clinic Graduate School of Biomedical Sciences, Mayo Clinic, Rochester, MN 55905, USA
| | - Yunxuan Li
- Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, China
| | - Bingbing Hao
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China; University of Chinese Academy of Sciences, Beijing, China
| | - Yuanyuan Zhang
- State Key Laboratory of Cardiology and Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China
| | - Jiadong Wang
- Department of Radiation Medicine, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China
| | - Minjia Tan
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China; University of Chinese Academy of Sciences, Beijing, China
| | - Ke Li
- Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, China
| | - Ping Wang
- Tongji University Cancer Center, Shanghai Tenth People's Hospital, School of Medicine, Shanghai 200072, China
| | - Zhenkun Lou
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN 55905, USA; Department of Oncology, Mayo Clinic, Rochester, MN 55905, USA
| | - Jian Yuan
- State Key Laboratory of Cardiology and Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China; Department of Biochemistry and Molecular Biology, Tongji University School of Medicine, Shanghai 200120, China.
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Liu M, Zhai L, Yang Z, Li S, Liu T, Chen A, Wang L, Li Y, Li R, Li C, Tan M, Chen Z, Qian J. Integrative Proteomic Analysis Reveals the Cytoskeleton Regulation and Mitophagy Difference Between Ischemic Cardiomyopathy and Dilated Cardiomyopathy. Mol Cell Proteomics 2023; 22:100667. [PMID: 37852321 PMCID: PMC10684391 DOI: 10.1016/j.mcpro.2023.100667] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 07/21/2023] [Accepted: 10/14/2023] [Indexed: 10/20/2023] Open
Abstract
Ischemic cardiomyopathy (ICM) and dilated cardiomyopathy (DCM) are the two primary etiologies of end-stage heart failure. However, there remains a dearth of comprehensive understanding the global perspective and the dynamics of the proteome and phosphoproteome in ICM and DCM, which hinders the profound comprehension of pivotal biological characteristics as well as differences in signal transduction activation mechanisms between these two major types of heart failure. We conducted high-throughput quantification proteomics and phosphoproteomics analysis of clinical heart tissues with ICM or DCM, which provided us the system-wide molecular insights into pathogenesis of clinical heart failure in both ICM and DCM. Both protein and phosphorylation expression levels exhibit distinct separation between heart failure and normal control heart tissues, highlighting the prominent characteristics of ICM and DCM. By integrating with omics results, Western blots, phosphosite-specific mutation, chemical intervention, and immunofluorescence validation, we found a significant activation of the PRKACA-GSK3β signaling pathway in ICM. This signaling pathway influenced remolding of the microtubule network and regulated the critical actin filaments in cardiac construction. Additionally, DCM exhibited significantly elevated mitochondria energy supply injury compared to ICM, which induced the ROCK1-vimentin signaling pathway activation and promoted mitophagy. Our study not only delineated the major distinguishing features between ICM and DCM but also revealed the crucial discrepancy in the mechanisms between ICM and DCM. This study facilitates a more profound comprehension of pathophysiologic heterogeneity between ICM and DCM and provides a novel perspective to assist in the discovery of potential therapeutic targets for different types of heart failure.
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Affiliation(s)
- Muyin Liu
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai, China; Shanghai Institute of Cardiovascular Diseases, Shanghai, China; National Clinical Research Center for Interventional Medicine, Shanghai, China; State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Linhui Zhai
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China; Zhongshan Institute for Drug Discovery, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Zhongshan, China; Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Zhaohua Yang
- Department of Cardiac Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Su Li
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai, China; Shanghai Institute of Cardiovascular Diseases, Shanghai, China; National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Tianxian Liu
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Ao Chen
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai, China; Shanghai Institute of Cardiovascular Diseases, Shanghai, China; National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Lulu Wang
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Youran Li
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai, China; Shanghai Institute of Cardiovascular Diseases, Shanghai, China; National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Ruidong Li
- College of Pharmacy, Jiangsu Ocean University, Lianyungang, Jiangsu, China
| | - Chenguang Li
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai, China; Shanghai Institute of Cardiovascular Diseases, Shanghai, China; National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Minjia Tan
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China; Zhongshan Institute for Drug Discovery, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Zhongshan, China; Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Zhangwei Chen
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai, China; Shanghai Institute of Cardiovascular Diseases, Shanghai, China; National Clinical Research Center for Interventional Medicine, Shanghai, China.
| | - Juying Qian
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai, China; Shanghai Institute of Cardiovascular Diseases, Shanghai, China; National Clinical Research Center for Interventional Medicine, Shanghai, China.
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Du S, Zhai L, Ye S, Wang L, Liu M, Tan M. In-depth urinary and exosome proteome profiling analysis identifies novel biomarkers for diabetic kidney disease. Sci China Life Sci 2023; 66:2587-2603. [PMID: 37405567 DOI: 10.1007/s11427-022-2348-0] [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] [Received: 02/23/2023] [Accepted: 04/17/2023] [Indexed: 07/06/2023]
Abstract
Diabetic kidney disease (DKD) is a major microvascular complication of type 2 diabetes mellitus (T2DM). Monitoring the early diagnostic period and disease progression plays a crucial role in treating DKD. In this study, to comprehensively elucidate the molecular characteristics of urinary proteins and urinary exosome proteins in type 2 DKD, we performed large-scale urinary proteomics (n=144) and urinary exosome proteomics (n=44) analyses on T2DM patients with albuminuria in varying degrees. The dynamics analysis of the urinary and exosome proteomes in our study provides a valuable resource for discovering potential urinary biomarkers in patients with DKD. A series of potential biomarkers, such as SERPINA1 and transferrin (TF), were detected and validated to be used for DKD diagnosis or disease monitoring. The results of our study comprehensively elucidated the changes in the urinary proteome and revealed several potential biomarkers reflecting the progression of DKD, which provide a reference for DKD biomarker screening.
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Affiliation(s)
- Shichun Du
- Department of Endocrinology, Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China.
| | - Linhui Zhai
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
- Zhongshan Institute for Drug Discovery, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Guangdong, 528400, China
| | - Shu Ye
- Department of Endocrinology, Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
| | - Le Wang
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
| | - Muyin Liu
- Department of Cardiology, Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Minjia Tan
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.
- Zhongshan Institute for Drug Discovery, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Guangdong, 528400, China.
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Guo AD, Yan KN, Hu H, Zhai L, Hu TF, Su H, Chi Y, Zha J, Xu Y, Zhao D, Lu X, Xu YJ, Zhang J, Tan M, Chen XH. Spatiotemporal and global profiling of DNA-protein interactions enables discovery of low-affinity transcription factors. Nat Chem 2023:10.1038/s41557-023-01196-z. [PMID: 37106095 DOI: 10.1038/s41557-023-01196-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 03/30/2023] [Indexed: 04/29/2023]
Abstract
Precise dissection of DNA-protein interactions is essential for elucidating the recognition basis, dynamics and gene regulation mechanism. However, global profiling of weak and dynamic DNA-protein interactions remains a long-standing challenge. Here, we establish the light-induced lysine (K) enabled crosslinking (LIKE-XL) strategy for spatiotemporal and global profiling of DNA-protein interactions. Harnessing unique abilities to capture weak and transient DNA-protein interactions, we demonstrate that LIKE-XL enables the discovery of low-affinity transcription-factor/DNA interactions via sequence-specific DNA baits, determining the binding sites for transcription factors that have been previously unknown. More importantly, we successfully decipher the dynamics of the transcription factor subproteome in response to drug treatment in a time-resolved manner, and find downstream target transcription factors from drug perturbations, providing insight into their dynamic transcriptional networks. The LIKE-XL strategy offers a complementary method to expand the DNA-protein profiling toolbox and map accurate DNA-protein interactomes that were previously inaccessible via non-covalent strategies, for better understanding of protein function in health and disease.
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Affiliation(s)
- An-Di Guo
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Ke-Nian Yan
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Hao Hu
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Linhui Zhai
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Teng-Fei Hu
- School of Chinese Materia Medica, Nanjing University of Chinese Medicine, Nanjing, China
| | - Haixia Su
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Yijia Chi
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Jinyin Zha
- State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yechun Xu
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Dongxin Zhao
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xiaojie Lu
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Yong-Jiang Xu
- School of Food Science and Technology, Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, Wuxi, China
| | - Jian Zhang
- State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Minjia Tan
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China.
- University of Chinese Academy of Sciences, Beijing, China.
- Zhongshan Institute for Drug Discovery, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Zhongshan, China.
- College of Pharmacy, Jiangsu Ocean University, Lianyungang, China.
| | - Xiao-Hua Chen
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China.
- University of Chinese Academy of Sciences, Beijing, China.
- School of Chinese Materia Medica, Nanjing University of Chinese Medicine, Nanjing, China.
- School of Pharmaceutical Science and Technology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, China.
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He L, Yang H, Sun J, Zhai L, Ji J, Ma X, Tang D, Mu Y, Wang L, Iqbal Z, Yang Z. Synthesis and β-Lactamase Inhibition Activity of Diazabicyclooctane Derivatives in Combination with Imipenem. RUSS J GEN CHEM+ 2022. [DOI: 10.1134/s1070363222120428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]
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Zhai L, Wang L, Hu H, Liu Q, Lee S, Tan M, Zhang Y. PBC, an easy and efficient strategy for high-throughput protein C-terminome profiling. Front Cell Dev Biol 2022; 10:995590. [PMID: 36120566 PMCID: PMC9471192 DOI: 10.3389/fcell.2022.995590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Accepted: 08/01/2022] [Indexed: 11/13/2022] Open
Abstract
High-throughput profiling of protein C-termini is still a challenging task. Proteomics provides a powerful technology for systematic and high-throughput study of protein C-termini. Various C-terminal peptide enrichment strategies based on chemical derivatization and chromatography separation have been reported. However, they are still costly and time-consuming, with low enrichment efficiency for C-terminal peptides. In this study, by taking advantage of the high reaction selectivity of 2-pyridinecarboxaldehyde (2-PCA) with an α-amino group on peptide N-terminus and high affinity between biotin and streptavidin, we developed a 2-PCA- and biotin labeling–based C-terminomic (PBC) strategy for a high-efficiency and high-throughput analysis of protein C-terminome. Triplicates of PBC experiments identified a total of 1,975 C-terminal peptides corresponding to 1,190 proteins from 293 T cell line, which is 180% higher than the highest reported number of C-terminal peptides identified from mammalian cells by chemical derivatization–based C-terminomics study. The enrichment efficiency (68%) is the highest among the C-terminomics methods currently reported. In addition, we not only uncovered 50 proteins with truncated C-termini which were significantly enriched in extracellular exosome, vesicle, and ribosome by a bioinformatic analysis but also systematically characterized the whole PTMs on C-terminal in 293 T cells, suggesting PBC as a powerful tool for protein C-terminal degradomics and PTMs investigation. In conclusion, the PBC strategy would benefit high-efficiency and high-throughput profiling of protein C-terminome.
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Affiliation(s)
- Linhui Zhai
- School of Chinese Materia Medica, School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
- Jiangsu Key Laboratory for Functional Substances of Chinese Medicine, School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Le Wang
- School of Chinese Materia Medica, School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Hao Hu
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Quan Liu
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Sangkyu Lee
- College of Pharmacy and Research Institute of Pharmaceutical Sciences, Kyungpook National University, Daegu, South Korea
| | - Minjia Tan
- School of Chinese Materia Medica, School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
- *Correspondence: Minjia Tan, ; Yinan Zhang,
| | - Yinan Zhang
- School of Chinese Materia Medica, School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
- Jiangsu Key Laboratory for Functional Substances of Chinese Medicine, School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
- *Correspondence: Minjia Tan, ; Yinan Zhang,
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Zhai L, Jiang W, Zang Y, Gao Y, Jiang D, Tian Q, Zhao C. Impact of Thyroid Tissue Status on the Cut-Off Value of Lymph Node Fine-Needle Aspiration Thyroglobulin Measurements in Papillary Thyroid Cancer. Br J Biomed Sci 2022; 79:10210. [PMID: 35996517 PMCID: PMC8915611 DOI: 10.3389/bjbs.2021.10210] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 12/02/2021] [Indexed: 11/13/2022]
Abstract
Objective: To study the optimal cut-off value of thyroglobulin measurement in a fine-needle aspiration (FNA-Tg) in diagnosing malignant lymph nodes and benign lymph nodes (LNs) according to the thyroid tissue status. Methods: A total of 517 LNs were aspirated: 401 preoperative LNs, 42 LNs after subtotal thyroidectomy and 74 suspected LNs after total thyroidectomy. The cut-off value of FNA-Tg was obtained from receiver operating characteristic (ROC) analysis. The cut-off value with the best diagnostic performance was then obtained by comparing different cut-off values from other studies. Results: LN FNA-Tg levels differed between preoperative and total thyroid disease (p < 0.001) and subtotal thyroidectomy and total thyroidectomy (p = 0.03), but not between preoperative and subtotal thyroidectomy (p = 1.00). Accordingly, those 443 LNs with preoperative and subtotal thyroidectomy were compared to those 74 without thyroid tissue. The optimal cut-off value in thyroid tissue group was 19.4 ng/ml and the area under the ROC curve (AUC) was 0.95 (95% CI 0.92–0.97). The optimal cut-off value in thyroid tissue absence group was 1.2 ng/ml and the AUC was 0.93 (0.85–0.98). After the analysis and comparison of multiple cut-off values, the optimal diagnostic performance was still found to be 19.4 ng/ml and 1.2 ng/ml. Conclusion: The influential factors of FNA-Tg are still controversial, and the optimal cut-off value of FNA-Tg can be determined based on the presence or absence of thyroid tissue. FNA-Tg can be used as an important auxiliary method for diagnosing cervical metastatic LNs of thyroid cancer.
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Affiliation(s)
- L. Zhai
- Department of Abdominal Ultrasound, The Affiliated Hospital of Qingdao University, Qingdao, China
- Department of Ultrasound, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Science, Jinan, China
| | - W. Jiang
- Health Management Center, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Y. Zang
- Department of Abdominal Ultrasound, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Y. Gao
- Department of Abdominal Ultrasound, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - D. Jiang
- Department of Abdominal Ultrasound, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Q. Tian
- Department of Laboratory Medicine, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - C. Zhao
- Department of Abdominal Ultrasound, The Affiliated Hospital of Qingdao University, Qingdao, China
- *Correspondence: C. Zhao,
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9
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Liu Z, Liu Y, Qian L, Jiang S, Gai X, Ye S, Chen Y, Wang X, Zhai L, Xu J, Pu C, Li J, He F, Huang M, Tan M. A proteomic and phosphoproteomic landscape of KRAS mutant cancers identifies combination therapies. Mol Cell 2021; 81:4076-4090.e8. [PMID: 34375582 DOI: 10.1016/j.molcel.2021.07.021] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2021] [Revised: 05/20/2021] [Accepted: 07/15/2021] [Indexed: 12/17/2022]
Abstract
KRAS mutant cancer, characterized by the activation of a plethora of phosphorylation signaling pathways, remains a major challenge for cancer therapy. Despite recent advancements, a comprehensive profile of the proteome and phosphoproteome is lacking. This study provides a proteomic and phosphoproteomic landscape of 43 KRAS mutant cancer cell lines across different tissue origins. By integrating transcriptomics, proteomics, and phosphoproteomics, we identify three subsets with distinct biological, clinical, and therapeutic characteristics. The integrative analysis of phosphoproteome and drug sensitivity information facilitates the identification of a set of drug combinations with therapeutic potentials. Among them, we demonstrate that the combination of DOT1L and SHP2 inhibitors is an effective treatment specific for subset 2 of KRAS mutant cancers, corresponding to a set of TCGA clinical tumors with the poorest prognosis. Together, this study provides a resource to better understand KRAS mutant cancer heterogeneity and identify new therapeutic possibilities.
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Affiliation(s)
- Zhiwei Liu
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China; University of Chinese Academy of Sciences, Beijing, China
| | - Yingluo Liu
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China; University of Chinese Academy of Sciences, Beijing, China
| | - Lili Qian
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Shangwen Jiang
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Xiameng Gai
- School of Chinese Materia Medica, Nanjing University of Chinese Medicine, Nanjing, China
| | - Shu Ye
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China; Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yuehong Chen
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Xiaomin Wang
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Linhui Zhai
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China; School of Chinese Materia Medica, Nanjing University of Chinese Medicine, Nanjing, China; Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, China
| | - Jun Xu
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Congying Pu
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China; University of Chinese Academy of Sciences, Beijing, China
| | - Jing Li
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Fuchu He
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, China
| | - Min Huang
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China; University of Chinese Academy of Sciences, Beijing, China; School of Chinese Materia Medica, Nanjing University of Chinese Medicine, Nanjing, China.
| | - Minjia Tan
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China; University of Chinese Academy of Sciences, Beijing, China; School of Chinese Materia Medica, Nanjing University of Chinese Medicine, Nanjing, China.
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10
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Liu Q, Zhai L, Han M, Shi D, Sun Z, Peng S, Wang M, Zhang C, Gao J, Yan W, Jiang Q, Chen D, Xu Q, Tan M, Sun Y. SHP2 inhibition attenuates osteoarthritis by maintaining homeostasis of cartilage metabolism via the DOK1/UPP1/uridine cascade. Arthritis Rheumatol 2021; 74:462-474. [PMID: 34569725 DOI: 10.1002/art.41988] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Revised: 09/10/2021] [Accepted: 09/23/2021] [Indexed: 11/08/2022]
Abstract
OBJECTIVE Protein tyrosine kinases (PTKs) regulate osteoarthritis (OA) progression by activating a series of signal transduction pathways. However, the roles of protein tyrosine phosphatases (PTPs) in OA remain obscure. METHODS The expression of 107 PTP genes in human OA cartilage was analyzed based on a single-cell sequencing dataset. The enzyme activity of the PTP SHP2 was detected in primary chondrocytes after interleukin (IL)-1β treatment and in human OA cartilage. Destabilized medial meniscus (DMM) model and IL-1β-stimulated primary mouse chondrocytes were treated with an SHP2 inhibitor and celecoxib (a clinical drug for the treatment of OA). The function of SHP2 in OA pathogenesis was further verified in Aggrecan-CreERT ; SHP2 flox/flox mice. The downstream protein expression profile and dephosphorylated substrate of SHP2 were examined by tandem mass tag (TMT) labeling-based global proteomic and stable isotope labeling using amino acids in cell culture (SILAC)-labeled tyrosine phosphoproteomic analysis, respectively. RESULTS SHP2 enzyme activity significantly increased in human OA samples with serious articular cartilage injury and in IL-1β-stimulated chondrocytes. Pharmacological inhibition or genetic deletion of SHP2 ameliorated OA progression. SHP2 inhibitors dramatically reduced the expression of cartilage degradation-related genes and simultaneously promoted the expression of cartilage synthesis-related genes. Mechanistically, SHP2 inhibition suppressed the dephosphorylation of DOK1 and subsequently reduced the expression of uridine phosphorylase 1 and increased uridine level, thereby contributing to the homeostasis of cartilage metabolism. CONCLUSIONS SHP2 is a novel accelerator of the imbalance in the cartilage homeostasis. Specific inhibition of SHP2 may ameliorate OA by maintaining the anabolic and catabolic balance.
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Affiliation(s)
- Qianqian Liu
- State Key Laboratory of Pharmaceutical Biotechnology, Chemistry and Biomedicine Innovation Center (ChemBIC), School of Life Sciences, Nanjing University, 163 Xianlin Avenue, 210023, Jiangsu, China
| | - Linhui Zhai
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zuchongzhi Road, Shanghai, 201203, China
| | - Mingrui Han
- State Key Laboratory of Pharmaceutical Biotechnology, Chemistry and Biomedicine Innovation Center (ChemBIC), School of Life Sciences, Nanjing University, 163 Xianlin Avenue, 210023, Jiangsu, China
| | - Dongquan Shi
- Department of Sports Medicine and Adult Reconstructive Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, 321 Zhongshan Road, 210008, Jiangsu, China
| | - Ziying Sun
- Department of Sports Medicine and Adult Reconstructive Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, 321 Zhongshan Road, 210008, Jiangsu, China
| | - Shuang Peng
- Institute of Pharmacology, University of Bern, Bern, Switzerland
| | - Meijing Wang
- State Key Laboratory of Pharmaceutical Biotechnology, Chemistry and Biomedicine Innovation Center (ChemBIC), School of Life Sciences, Nanjing University, 163 Xianlin Avenue, 210023, Jiangsu, China
| | - Chenyang Zhang
- State Key Laboratory of Pharmaceutical Biotechnology, Chemistry and Biomedicine Innovation Center (ChemBIC), School of Life Sciences, Nanjing University, 163 Xianlin Avenue, 210023, Jiangsu, China
| | - Jian Gao
- State Key Laboratory of Pharmaceutical Biotechnology, Chemistry and Biomedicine Innovation Center (ChemBIC), School of Life Sciences, Nanjing University, 163 Xianlin Avenue, 210023, Jiangsu, China
| | - Wenjin Yan
- Department of Sports Medicine and Adult Reconstructive Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, 321 Zhongshan Road, 210008, Jiangsu, China
| | - Qing Jiang
- Department of Sports Medicine and Adult Reconstructive Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, 321 Zhongshan Road, 210008, Jiangsu, China
| | - Dijun Chen
- State Key Laboratory of Pharmaceutical Biotechnology, Chemistry and Biomedicine Innovation Center (ChemBIC), School of Life Sciences, Nanjing University, 163 Xianlin Avenue, 210023, Jiangsu, China
| | - Qiang Xu
- Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, 221004, Jiangsu, China
| | - Minjia Tan
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zuchongzhi Road, Shanghai, 201203, China
| | - Yang Sun
- State Key Laboratory of Pharmaceutical Biotechnology, Chemistry and Biomedicine Innovation Center (ChemBIC), School of Life Sciences, Nanjing University, 163 Xianlin Avenue, 210023, Jiangsu, China.,Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, 221004, Jiangsu, China
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11
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Shi XM, Gong Y, Hu XD, Zhai L. [The relationship between elevated antiphospholipid antibodies and thrombosis in hospitalized patients]. Zhonghua Yu Fang Yi Xue Za Zhi 2021; 55:1100-1104. [PMID: 34619928 DOI: 10.3760/cma.j.cn112150-20201028-01319] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: Assess the relationship between elevated antiphospholipid antibodies and thrombosis in hospitalized patients. Methods: Case control study. A total of 385 patients (149 males and 236 females, aged from 1 to 105 years, with a median age of 37 years) who were hospitalized in Peking University First Hospital from January 2015 to December 2019 and tested positive for any one of the anti-phospholipid antibodies were included in the study. All subjects were divided into thrombotic group and non-thrombotic group according to whether thrombus was detected by imaging examination during hospitalization. In thrombosis group, there were 66 males and 36 females, aged from 3 to 105 years, with a median age of 58 years. In non-thrombosis group, there were 83 males and 200 females, aged from 1 to 94 years, with a median age of 31 years. Clinical data and laboratory data of patients were recorded. ACL-IgM/IgG and anti-β2GPI-IgM/IgG were detected by ELISA and LA was detected by dRVVT and SCT on automatic coagulation analyzer. The rates of age, gender, smoking, obesity, hypertension, hyperlipidemia, diabetes and the median level of antiphospholipid antibodies were compared between two groups. Logistic multivariate regression analysis was used to determine the risk factors for thrombotic events. The mid-to-high titer value of aCL was established by the χ2-trend test and verified by logistic regression. Results: The median age (58 years) and the rates of male (64.7%), smoking (16.7%), hypertension (63.7%) and diabetes (28.4%) in thrombus group were significantly higher than those in non-thrombus group (Z=7.685, χ²=38.077, 16.312, 37.769, 24.749 respectively; P<0.01). The positive rate of anti-β2GPI-IgG and dRVVT in thrombosis group (11.8% and 78.4%) was significantly higher than that in non-thrombosis group (5.3% and 60.1%), as well as the median level of dRVVT (1.29 RU/ml vs 1.23 RU/ml) (χ²=3.864 and 10.309, Z=3.539; P<0.05). The median level of aCL-IgM was higher in non-thrombosis group (2.3 MPL vs 2.0 MPL). The positive rate of aCL-IgG was slightly higher in thrombosis group (18.6% vs 10.6%). Logistic regression analysis showed that men, hypertension, diabetes, advanced age, elevated dRVVT, and elevated anti-β2GPI-IgG are risk factors for thrombosis. Taking 36 GPL as the medium-to-high titer value of aCL-IgG, the risk of thrombosis increased by 2.45 times. Conclusions: In the anti-phospholipid antibody profile, LA detected by dRVVT method, anti-β2GPI-IgG and aCL-IgG may be valuable laboratory indicators for inpatient thrombotic events. The mid-to-high titer value of aCL-IgG is set at 36 GPL to distinguish the risk of thrombosis.
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Affiliation(s)
- X M Shi
- Department of Clinical Laboratory,Peking University First Hospital, Beijing 100034, China
| | - Y Gong
- Department of Clinical Laboratory,Peking University First Hospital, Beijing 100034, China
| | - X D Hu
- Department of Clinical Laboratory,Peking University First Hospital, Beijing 100034, China
| | - L Zhai
- Department of Clinical Laboratory,Peking University First Hospital, Beijing 100034, China
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12
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Ye S, Zhai L, Hu H, Tan M, Du S. BoxCar increases the depth and reproducibility of diabetic urinary proteome analysis. Proteomics Clin Appl 2021; 15:e2000092. [PMID: 33929778 DOI: 10.1002/prca.202000092] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2020] [Revised: 04/18/2021] [Indexed: 11/06/2022]
Abstract
PURPOSE Mass spectrometry-based proteomics performs well in high throughput detection of urinary proteins. Nonetheless, protein identification depth and reproducibility remain the challenges in diabetic urinary proteome with high complexity and broad dynamic range, especially for low-abundant proteins. As a new data acquisition strategy, the BoxCar method was reported to benefit for low-abundant protein identification. Whether it is propitious to diabetic samples with high dynamic range proteomes has not been discussed yet. We aimed to apply BoxCar method to diabetic urine sample analysis, and to compare it with standard data dependent acquisition (DDA) method on protein identification in detail. EXPERIMENTAL DESIGN We performed seven technical replicates analysis on two urine samples from healthy individuals and diabetic patients to evaluate protein detection of BoxCar and standard DDA methods on single sample. Further comparison of two methods was made on multiple diabetic urine samples. RESULTS BoxCar could increase over 20% of identified proteins and performed better quantitative reproducibility than standard DDA method either in single or multiple diabetic urinary samples. BoxCar also improved the detection of low-abundant proteins. Functional enrichment analysis of normal albuminuria or microalbuminuria samples indicated that BoxCar acquired more diabetes-related biological information. CONCLUSIONS AND CLINICAL RELEVANCE The study demonstrates that BoxCar could enhance the depth and reproducibility in diabetic urinary proteome analysis, which provides reference for mass spectrometry approach selection in clinical urinary proteomic research.
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Affiliation(s)
- Shu Ye
- Department of Endocrinology, Xinhua Hospital Affiliated to Shanghai Jiaotong University, School of Medicine, Shanghai, China
| | - Linhui Zhai
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Hao Hu
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Minjia Tan
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Shichun Du
- Department of Endocrinology, Xinhua Hospital Affiliated to Shanghai Jiaotong University, School of Medicine, Shanghai, China
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13
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Zhao M, Li L, Zhai L, Yue Q, Liu H, Ren S, Jiang X, Gao F, Bai S, Li H, Zhang Y, Xu H, Zhang L, Liu P, Tan M, Yu Q. Comparative Transcriptomic and Proteomic Analyses Prove that IFN-λ1 is a More Potent Inducer of ISGs than IFN-α against Porcine Epidemic Diarrhea Virus in Porcine Intestinal Epithelial Cells. J Proteome Res 2020; 19:3697-3707. [PMID: 32692179 DOI: 10.1021/acs.jproteome.0c00164] [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] [Indexed: 01/04/2023]
Abstract
Type III interferon (IFN-λ) is currently considered to be largely nonredundant to type I interferon (IFN-α) in antivirus infection, especially in epithelial cells. Previous studies reported that, compared with IFN-α, IFN-λ exhibited stronger induction of interferon-stimulated genes (ISGs) at the transcriptional level in intestinal epithelial cells and stronger inhibition of porcine epidemic diarrhea virus (PEDV). In this study, the different mechanisms of ISG upregulation induced by IFN-α and IFN-λ1 were compared at the mRNA and protein levels in the porcine intestinal epithelial cell model (IPEC-J2). It was proved that IFN-λ1 consistently exhibited stronger stimulation effects at both levels. At the mRNA level, 132 genes were significantly upregulated upon IFN-λ1 stimulation, while 42 genes upon IFN-α stimulation. At the protein level, 47 proteins were significantly upregulated upon IFN-λ1 stimulation, but only 8 proteins were upregulated upon IFN-α stimulation. The shared upregulated genes/proteins by IFN-λ1 in both transcriptional and translational omics, especially the regulation factors of ISG15, were involved in the JAK-STAT signaling pathway. Compared to IFN-α, IFN-λ1 could induce more consistent upregulation of the key ISGs (ISG15, USP18, OASL, and RSAD2) at 3-24 h postinduction as measured by reverse transcription-quantitative polymerase chain reaction (RT-qPCR) validation. It was further confirmed through functional analysis that ISG15 and RSAD2 could inhibit PEDV infection in dose-dependent manners. This study provided solid evidence that IFN-λ1 could induce a more unique and higher ISG expression level, which exhibited anti-PEDV effects on porcine intestinal epithelial cells.
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Affiliation(s)
- Mingzhi Zhao
- Beijing Institute of Transfusion Medicine, 27 Taiping Road, Beijing 100850, China.,Prosit Sole Biotechnology, Co., Ltd., Beijing 100085, China
| | - Liang Li
- State Key Laboratory of Veterinary Biotechnology, Harbin Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Harbin 150069, China
| | - Linhui Zhai
- Chemical Proteomics Center, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zuchongzhi Road, Shanghai 201203, China
| | - Qi Yue
- Chemical Proteomics Center, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zuchongzhi Road, Shanghai 201203, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Hongyu Liu
- Prosit Sole Biotechnology, Co., Ltd., Beijing 100085, China
| | - Suping Ren
- Beijing Institute of Transfusion Medicine, 27 Taiping Road, Beijing 100850, China
| | - Xingwei Jiang
- Beijing Institute of Transfusion Medicine, 27 Taiping Road, Beijing 100850, China
| | - Fenghua Gao
- Beijing Institute of Transfusion Medicine, 27 Taiping Road, Beijing 100850, China
| | - Shanshan Bai
- Beijing Institute of Transfusion Medicine, 27 Taiping Road, Beijing 100850, China
| | - Honghao Li
- Sartorius Stedim (Shanghai) Trading Co., Ltd., Shanghai 201210, China
| | - Ying Zhang
- The General Hospital of the People's Liberation Army, Beijing 100853, China
| | - Hongwei Xu
- Prosit Sole Biotechnology, Co., Ltd., Beijing 100085, China
| | - Liying Zhang
- Prosit Sole Biotechnology, Co., Ltd., Beijing 100085, China
| | - Pinghuang Liu
- State Key Laboratory of Veterinary Biotechnology, Harbin Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Harbin 150069, China
| | - Minjia Tan
- Chemical Proteomics Center, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zuchongzhi Road, Shanghai 201203, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Qun Yu
- Beijing Institute of Transfusion Medicine, 27 Taiping Road, Beijing 100850, China
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14
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Pan L, Wang X, Yang L, Zhao L, Zhai L, Xu J, Yang Y, Mao Y, Cheng S, Xiao T, Tan M. Proteomic and Phosphoproteomic Maps of Lung Squamous Cell Carcinoma From Chinese Patients. Front Oncol 2020; 10:963. [PMID: 32612956 PMCID: PMC7308564 DOI: 10.3389/fonc.2020.00963] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Accepted: 05/15/2020] [Indexed: 12/29/2022] Open
Abstract
Lung squamous cell carcinoma (LUSC) is one of the leading causes of tumor-driven deaths in the world. To date, studies on the tumor heterogeneity of LUSC at genomic level have only revealed limited therapeutic benefits. Therefore, system-wide research of LUSC at proteomic level may further improve precision medicine strategies on individual demands. To this end, we performed proteomic and phosphoproteomic study for LUSC samples of 25 Chinese patients. From our results, two subgroups (Cluster I and II) based on proteomic data were identified, which were associated with distinct molecular characteristics and clinicopathologic features. Combined with phosphoproteomic data, our result showed that spliceosome pathway was enriched in Cluster I, while focal adhesion pathway, immune-related pathways and Ras signaling pathway were enriched in Cluster II. In addition, we found that lymph node metastasis (LNM) was associated with our proteomic subgroups and cell cycle pathway was enriched in patients with LNM. Further analysis showed that MCM2, a DNA replication licensing factor involved in cell cycle pathway, was highly expressed in patients with poor prognosis, which was further proved by immunohistochemistry (IHC) analysis. In summary, our study provided a resource of the proteomic and phosphoproteomic features of LUSC in Chinese patients.
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Affiliation(s)
- Lulu Pan
- Chemical Proteomics Center, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China.,School of Pharmacy, University of Chinese Academy of Sciences, Beijing, China
| | - Xijun Wang
- State Key Laboratory of Molecular Oncology, Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Longhai Yang
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.,Department of Cardiothoracic Surgery, Shenzhen University General Hospital/Shenzhen University Clinical Medical Academy, Shenzhen, China
| | - Lei Zhao
- Chemical Proteomics Center, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Linhui Zhai
- Chemical Proteomics Center, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Junyu Xu
- Chemical Proteomics Center, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Yikun Yang
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yousheng Mao
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shujun Cheng
- State Key Laboratory of Molecular Oncology, Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ting Xiao
- State Key Laboratory of Molecular Oncology, Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Minjia Tan
- Chemical Proteomics Center, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China.,School of Pharmacy, University of Chinese Academy of Sciences, Beijing, China
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15
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Xu JY, Zhang C, Wang X, Zhai L, Ma Y, Mao Y, Qian K, Sun C, Liu Z, Jiang S, Wang M, Feng L, Zhao L, Liu P, Wang B, Zhao X, Xie H, Yang X, Zhao L, Chang Y, Jia J, Wang X, Zhang Y, Wang Y, Yang Y, Wu Z, Yang L, Liu B, Zhao T, Ren S, Sun A, Zhao Y, Ying W, Wang F, Wang G, Zhang Y, Cheng S, Qin J, Qian X, Wang Y, Li J, He F, Xiao T, Tan M. Integrative Proteomic Characterization of Human Lung Adenocarcinoma. Cell 2020; 182:245-261.e17. [DOI: 10.1016/j.cell.2020.05.043] [Citation(s) in RCA: 138] [Impact Index Per Article: 34.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2019] [Revised: 04/08/2020] [Accepted: 05/21/2020] [Indexed: 12/24/2022]
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16
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Zhao L, Cong X, Zhai L, Hu H, Xu JY, Zhao W, Zhu M, Tan M, Ye BC. Comparative evaluation of label-free quantification strategies. J Proteomics 2020; 215:103669. [DOI: 10.1016/j.jprot.2020.103669] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Revised: 12/28/2019] [Accepted: 01/22/2020] [Indexed: 12/17/2022]
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17
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Zhao M, Hao B, Li H, Cai M, Xie J, Liu H, Tan M, Zhai L, Yu Q. Peptidyl-Lys metalloendopeptidase (Lys-N) purified from dry fruit of Grifola frondosa demonstrates "mirror"digestion property with lysyl endopeptidase (Lys-C). Rapid Commun Mass Spectrom 2020; 34:e8573. [PMID: 31484223 DOI: 10.1002/rcm.8573] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2019] [Revised: 08/17/2019] [Accepted: 09/01/2019] [Indexed: 06/10/2023]
Abstract
RATIONALE Lys-N, also known as lysine-specific metalloendopeptidase, functions as the "sister" enzyme of lysyl endopeptidase (Lys-C) in proteomic research. Its digestion specificity at the N-terminal lysine residue makes it a very useful tool in proteomics analysis, especially in mass spectrometry (MS)-based de novo sequencing of proteins. METHODS Here we present a complete production process of highly purified Lys-N from dry fruit of Grifola frondosa (maitake mushroom). The purification process includes one step of microfiltration plus one step of UF/DF (ultrafiltration used in tandem with a diafiltration method) recovery and four steps of chromatographic purification. RESULTS The overall yield of the process was approximately 6.7 mg Lys-N protein/kg dry fruit of G. frondosa. The assay data demonstrated that the purified Lys-N exhibited high enzymatic activity and specificity. CONCLUSIONS The novel production process provides for the first time the extraction of Lys-N from dry fruit of G. frondosa. The process is also stable and scalable, and provides an economic way of producing the enzyme in large quantities for MS-based proteomics and other biological studies.
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Affiliation(s)
- Mingzhi Zhao
- Beijing Institute of Transfusion Medicine, 27 Taiping Road, Beijing, 100850, China
- Prosit Sole Biotechnology Co. Ltd, Beijing, 100085, China
| | - Bingbing Hao
- Chemical Proteomics Center, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Honghao Li
- Sartorius Stedim (Shanghai) Trading Co. Ltd, Shanghai, 201203, China
| | - Man Cai
- Prosit Sole Biotechnology Co. Ltd, Beijing, 100085, China
| | - Jingjing Xie
- Prosit Sole Biotechnology Co. Ltd, Beijing, 100085, China
| | - Hongyu Liu
- Prosit Sole Biotechnology Co. Ltd, Beijing, 100085, China
| | - Minjia Tan
- Chemical Proteomics Center, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Linhui Zhai
- Chemical Proteomics Center, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
- Nanjing University of Chinese Medicine, Nanjing, 210023, China
| | - Qun Yu
- Beijing Institute of Transfusion Medicine, 27 Taiping Road, Beijing, 100850, China
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18
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Li B, Guo F, Hu H, Liu P, Tan M, Pan J, Zhai L. The characterization of column heating effect in nanoflow liquid chromatography mass spectrometry (nanoLC-MS)-based proteomics. J Mass Spectrom 2020; 55:e4441. [PMID: 31840882 DOI: 10.1002/jms.4441] [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] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2019] [Revised: 09/06/2019] [Accepted: 09/08/2019] [Indexed: 06/10/2023]
Abstract
Column heating strategy is often applied in nano-high-performance liquid chromatography-mass spectrometer (nanoHPLC-MS) platform for enhancing the analytical efficiency of peptides or proteins. Nonetheless, the influence effects of column heating in peptides or proteins identification still lack of deep understanding. In this study, a systematic comparison of room temperature (RT) and column heating of nanoHPLC was done. Based on the data, under column heating condition, the backpressure of nanoHPLC can be decreased. Due to the increase of resolution, the peak widths of precursor ion were narrowed. As a result, in MS/MS data acquisition part, more time was spared for MS1 detecting and MS2 fragmenting, which eventually resulted in increased identification of peptides and proteins. Moreover, we also proposed the application scope of column heating by evaluating its influence on sample detection. On one hand, column heating significantly increased the identification of membrane proteins due to more efficient elution of highly hydrophobic peptides compared with RT. On the other hand, heating was not suitable for analyzing short or/and hydrophilic peptides with low retention time, which would be eluted out during sample loading process under high temperature and missed by mass spectrometric detection. In conclusion, our study provides a reference for rational application of column heating in proteomics research.
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Affiliation(s)
- Bolin Li
- School of Life Sciences, Zhejiang Sci-Tech University, Hangzhou, China
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Fang Guo
- Shanghai Easymass Co., Ltd., Shanghai, China
| | - Hao Hu
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Ping Liu
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Minjia Tan
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Jianyi Pan
- School of Life Sciences, Zhejiang Sci-Tech University, Hangzhou, China
| | - Linhui Zhai
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
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19
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Hu H, Zhao W, Zhu M, Zhao L, Zhai L, Xu JY, Liu P, Tan M. LysargiNase and Chemical Derivatization Based Strategy for Facilitating In-Depth Profiling of C-Terminome. Anal Chem 2019; 91:14522-14529. [PMID: 31634432 DOI: 10.1021/acs.analchem.9b03543] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Global identification of protein C-termini is highly challenging due to their low abundance in conventional shotgun proteomics. Several enrichment strategies have been developed to facilitate the detection of C-terminal peptides. One major issue of previous approaches is the limited C-terminome coverage. Herein, we integrated LysargiNase digestion, chemical acetylation on neo-N-terminus, and a-ion-aided peptide matching into poly(allylamine)-based C-terminomics (termed as LAACTer). In this strategy, we leveraged LysargiNase, a protease with cleavage specificity N-terminal to Lys and Arg residues, to cover previously unidentifiable C-terminome and employed chemical acetylation and a-ion-aided peptide matching to efficiently boost peptide identifications. Triplicates of LAACTer identified a total of 834 C-termini from proteome of 293T cell, which expanded the coverage by 164% (643 more unique C-termini) compared with the parallel experiments using the original workflow. Compared with the largest human C-terminome data sets (containing 800-900 C-termini), LAACTer not only achieved comparable profiling depth but also yielded 465 previously unidentified C-termini. In a SILAC (stable isotope labeling with amino acids in cell culture)-based quantitative study for identification of GluC-cleaved products, LAACTer quantified 300% more C-terminal peptides than the original workflow. Using LAACTer and the original workflow, we performed global analysis for the C-terminal sequences of 293T cell. The original and processed C-termini displayed distinct sequence patterns, implying the "C-end rules" that regulates protein stability could be more complex than just amino acid motifs. In conclusion, we reason LAACTer could be a powerful proteomic tool for in-depth C-terminomics and would benefit better functional understanding of protein C-termini.
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Affiliation(s)
- Hao Hu
- State Key Laboratory of Drug Research , Shanghai Institute of Materia Medica, Chinese Academy of Sciences , 555 Zuchongzhi Road , Shanghai , 201203 , China
| | - Wensi Zhao
- State Key Laboratory of Drug Research , Shanghai Institute of Materia Medica, Chinese Academy of Sciences , 555 Zuchongzhi Road , Shanghai , 201203 , China.,University of Chinese Academy of Sciences , Beijing 100049 , China
| | - Mengdi Zhu
- State Key Laboratory of Drug Research , Shanghai Institute of Materia Medica, Chinese Academy of Sciences , 555 Zuchongzhi Road , Shanghai , 201203 , China.,University of Chinese Academy of Sciences , Beijing 100049 , China
| | - Lei Zhao
- State Key Laboratory of Drug Research , Shanghai Institute of Materia Medica, Chinese Academy of Sciences , 555 Zuchongzhi Road , Shanghai , 201203 , China
| | - Linhui Zhai
- State Key Laboratory of Drug Research , Shanghai Institute of Materia Medica, Chinese Academy of Sciences , 555 Zuchongzhi Road , Shanghai , 201203 , China
| | - Jun-Yu Xu
- State Key Laboratory of Drug Research , Shanghai Institute of Materia Medica, Chinese Academy of Sciences , 555 Zuchongzhi Road , Shanghai , 201203 , China
| | - Ping Liu
- State Key Laboratory of Drug Research , Shanghai Institute of Materia Medica, Chinese Academy of Sciences , 555 Zuchongzhi Road , Shanghai , 201203 , China
| | - Minjia Tan
- State Key Laboratory of Drug Research , Shanghai Institute of Materia Medica, Chinese Academy of Sciences , 555 Zuchongzhi Road , Shanghai , 201203 , China.,University of Chinese Academy of Sciences , Beijing 100049 , China
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20
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Jia X, Pan L, Zhu M, Hu H, Zhai L, Liu J, Hu M, Liu B, Tan M. pSILAC method coupled with two complementary digestion approaches reveals PRPF39 as a new E7070-dependent DCAF15 substrate. J Proteomics 2019; 210:103545. [PMID: 31626998 DOI: 10.1016/j.jprot.2019.103545] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [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: 07/23/2019] [Revised: 09/28/2019] [Accepted: 10/02/2019] [Indexed: 01/23/2023]
Abstract
Targeting specific ubiquitin E3 ligase for degradation of disease-driven protein has recently been an important concept for cancer therapy, as exemplified by the case of thalidomide for the treatment of multiple myeloma. E7070, an aryl sulfonamide drug, exhibited anticancer activity by targeting the E3 ligase receptor DCAF15, with RBM39 as the only known substrate. Exploration of additional substrates of E7070 would facilitate elucidation of its mechanism of actions. To this end, we used a strategy combing pSILAC method with two complementary digestion approaches (LysC-Trypsin and LysN-LysArgiNase) to accurately monitor the protein turnover and increase the depth of proteome profiling. Systematically, we showed that E7070 treatment changed turnover rates of 868 proteins (1.5 fold change and p-value <.05). Several proteins displayed accelerated turnover indicating they were potential new substrates of E7070, among which, pre-mRNA splicing factor 39 (PRPF39) had been reported to be overexpressed in certain cancers. We further demonstrated that PRPF39 was ubiquitinated and degraded by E7070 in a DCAF15-dependent manner, and represented a new bona fide substrate of E7070. The degradation of PRPF39 might also be contributed to the anticancer activity of E7070. SIGNIFICANCE: Identification of degraded substrates is difficult because protein abundance is a comprehensive result regulated by protein production and degradation at the same time. Pulsed SILAC (pSILAC), a method to measure protein turnover, would provide higher sensitivity than total protein quantification. In addition, some peptide sequences are not amenable to MS analysis after LysC-Trypsin digestion. LysN-LysargiNase, as a mirror protease combination of LysC-Trypsin, can be complementary for peptide identification with LysC-Trypsin. By combining pSILAC with two complementary digestion approaches (LysC-Trypsin and LysN-LysArgiNase), we systematically investigated E7070-dependent protein degradation. As a result, we found several potential degradation substrates of E7070 including PRPF39. Further, by exploiting a series of biological assays, we demonstrated that E7070 can lead to the ubiquitination and proteasomal degradation of PRPF39 by promoting the recruitment of PRPF39 to the CUL4-DCAF15 E3 ubiquitin ligase.
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Affiliation(s)
- Xinglong Jia
- Lab for Noncoding RNA and Cancer, School of Life Sciences, Shanghai University, Shanghai 200444, China
| | - Lulu Pan
- Chemical Proteomics Center, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China; University of Chinese Academy of Sciences, Beijing, China
| | - Mingrui Zhu
- Chemical Proteomics Center, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China; University of Chinese Academy of Sciences, Beijing, China
| | - Hao Hu
- Chemical Proteomics Center, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
| | - Linhui Zhai
- Chemical Proteomics Center, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
| | - Jie Liu
- Hubei Key Laboratory for Kidney Disease Pathogenesis and Intervention, Hubei Polytechnic University School of Medicine, Huangshi, Hubei 435003, China
| | - Min Hu
- Hubei Key Laboratory for Kidney Disease Pathogenesis and Intervention, Hubei Polytechnic University School of Medicine, Huangshi, Hubei 435003, China
| | - Bin Liu
- Hubei Key Laboratory for Kidney Disease Pathogenesis and Intervention, Hubei Polytechnic University School of Medicine, Huangshi, Hubei 435003, China.
| | - Minjia Tan
- Chemical Proteomics Center, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China; University of Chinese Academy of Sciences, Beijing, China.
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21
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An Z, Zhai L, Ying W, Qian X, Gong F, Tan M, Fu Y. PTMiner: Localization and Quality Control of Protein Modifications Detected in an Open Search and Its Application to Comprehensive Post-translational Modification Characterization in Human Proteome. Mol Cell Proteomics 2019; 18:391-405. [PMID: 30420486 PMCID: PMC6356076 DOI: 10.1074/mcp.ra118.000812] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2018] [Revised: 11/02/2018] [Indexed: 12/27/2022] Open
Abstract
The open (mass tolerant) search of tandem mass spectra of peptides shows great potential in the comprehensive detection of post-translational modifications (PTMs) in shotgun proteomics. However, this search strategy has not been widely used by the community, and one bottleneck of it is the lack of appropriate algorithms for automated and reliable post-processing of the coarse and error-prone search results. Here we present PTMiner, a software tool for confident filtering and localization of modifications (mass shifts) detected in an open search. After mass-shift-grouped false discovery rate (FDR) control of peptide-spectrum matches (PSMs), PTMiner uses an empirical Bayesian method to localize modifications through iterative learning of the prior probabilities of each type of modification occurring on different amino acids. The performance of PTMiner was evaluated on three data sets, including simulated data, chemically synthesized peptide library data and modified-peptide spiked-in proteome data. The results showed that PTMiner can effectively control the PSM FDR and accurately localize the modification sites. At 1% real false localization rate (FLR), PTMiner localized 93%, 84 and 83% of the modification sites in the three data sets, respectively, far higher than two open search engines we used and an extended version of the Ascore localization algorithm. We then used PTMiner to analyze a draft map of human proteome containing 25 million spectra from 30 tissues, and confidently identified over 1.7 million modified PSMs at 1% FDR and 1% FLR, which provided a system-wide view of both known and unknown PTMs in the human proteome.
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Affiliation(s)
- 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 100190, China;; School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Linhui Zhai
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
| | - Wantao Ying
- State key Laboratory of Proteomics, National Center for Protein Sciences Beijing, Beijing Proteome Research Center, National Engineering Research Center for Protein Drugs, Beijing 102206, China, Beijing Institute of Lifeomics, Beijing 100850, China
| | - Xiaohong Qian
- State key Laboratory of Proteomics, National Center for Protein Sciences Beijing, Beijing Proteome Research Center, National Engineering Research Center for Protein Drugs, Beijing 102206, China, Beijing Institute of Lifeomics, Beijing 100850, China
| | - Fuzhou Gong
- 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 100190, China;; School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Minjia Tan
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, 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 100190, China;; School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.
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22
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Qiao Y, Zhu X, Zhai L, Payne R, Li T. PSXVI-42 Dietary soybean meal level and β-mannanase supplementation affected serum biochemical constituents in nursery pigs. J Anim Sci 2018. [DOI: 10.1093/jas/sky404.741] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- Y Qiao
- Elanco Animal Health,Beijing, China (People’s Republic)
| | - X Zhu
- Institute of Subtropical Agriculture, Chinese Academy of Sciences,Hunan, China (People’s Republic)
| | - L Zhai
- Elanco Animal Health,Beijing, China (People’s Republic)
| | - R Payne
- Elanco Animal Health,Sunset, LA, United States
| | - T Li
- Elanco Animal Health,Beijing, China (People’s Republic)
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23
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Qiao Y, Zhu X, Zhai L, Payne R, Li T. 192 Dietary β-mannanase supplementation improved growth and health of nursery pigs fed high soybean meal diet. J Anim Sci 2018. [DOI: 10.1093/jas/sky404.670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- Y Qiao
- Elanco Animal Health,Beijing, China (People’s Republic)
| | - X Zhu
- Institute of Subtropical Agriculture, Chinese Academy of Sciences,Hunan, China (People’s Republic)
| | - L Zhai
- Elanco Animal Health,Beijing, China (People’s Republic)
| | - R Payne
- Elanco Animal Health,Sunset, LA, United States
| | - T Li
- Institute of Subtropical Agriculture, Chinese Academy of Sciences,Hunan, China (People’s Republic)
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24
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Qiao Y, Zhu X, Zhai L, Payne R, Li T. PSIII-36 Dietary soybean meal level and β-mannanase supplementation affected immunoproteins in carotid artery and morphology and aquaporin water channels in small intestine of nursery pigs. J Anim Sci 2018. [DOI: 10.1093/jas/sky404.690] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- Y Qiao
- Elanco Animal Health,Beijing, China (People’s Republic)
| | - X Zhu
- Institute of Subtropical Agriculture, Chinese Academy of Sciences,Hunan, China (People’s Republic)
| | - L Zhai
- Elanco Animal Health,Beijing, China (People’s Republic)
| | - R Payne
- Elanco Animal Health,Kennesaw, GA, United States
| | - T Li
- Institute of Subtropical Agriculture, Chinese Academy of Sciences,Hunan, China (People’s Republic)
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25
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Zhai L, Wang J, Ji YQ, Wang TT, Liu M, Guo YL. [Protective effect of picroside Ⅱ on the brain tissue through antioxidation in stroke rats]. Zhonghua Yi Xue Za Zhi 2018; 98:3705-3710. [PMID: 30526784 DOI: 10.3760/cma.j.issn.0376-2491.2018.45.015] [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] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Objective: To investigate the effect and mechanisms of picroside Ⅱ on the brain tissue after cerebral ischemia reperfusion(I/R) in rats. Methods: The middle cerebral artery occlusion(MCAO) rat model was established by inserting a monofilament into middle cerebral artery. The experimental rats were treated by injecting picroside Ⅱ intraperitoneally. The modified neurological severity score (mNSS) and body weight were determined before modeling and after reperfusion of 22 h. The cerebral infarct volume was measured by TTC staining and the cerebral water content was measured in rats. At the same time, ROS content and NADPH oxidase activity were detected. The structure of neurons was observed by electron microscope and the mRNA and protein levels of Rac-1 and Nox2 were detected by RT-PCR and Western blotting. Results: After modeling, the mNSS score was significantly increased (12.6±1.3 vs 0, P<0.001), while the body weight was lost (13.3%±2.5% vs 4.9%±0.8%, P<0.01). The cerebral infarct volume increased obviously (33.5%±3.4% vs 0, P<0.001), brain water content increased significantly (81.5%±0.9% vs 77.7%±0.9%, P<0.05) and the structure of neuron was damaged obviously. The protein and mRNA levels of Rac-1 and Nox2 were significantly increased (P<0.05). After treatment with picroside Ⅱ, mNSS score decreased significantly (7.9±0.8 vs 12.6±1.3, P<0.05) and the body weight increased obviously (9.3%±1.1% vs 13.3%±2.5%, P<0.05). The infarct volume of brain was significantly reduced (18.2%±1.9% vs 33.5%±3.4%, P<0.05), brain water content decreased obviously (79.1%±0.7% vs 81.5±0.9%, P<0.05), the morphological structures of neurons was restored, and the expressions of Rac-1 and Nox2 were significantly decreased (P<0.05). Conclusion: It is suggested that picroside Ⅱ could exert antioxidation to protect the brain tissue through inhibiting the expression of Rac-1 and Nox2.
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Affiliation(s)
- L Zhai
- Department of Pharmacy, Qingdao Municipal Hospital Affiliated to Qingdao University, Qingdao 266071, China
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26
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Liu B, Jiang S, Li M, Xiong X, Zhu M, Li D, Zhao L, Qian L, Zhai L, Li J, Lu H, Sun S, Lin J, Lu Y, Li X, Tan M. Proteome-wide analysis of USP14 substrates revealed its role in hepatosteatosis via stabilization of FASN. Nat Commun 2018; 9:4770. [PMID: 30425250 PMCID: PMC6233205 DOI: 10.1038/s41467-018-07185-y] [Citation(s) in RCA: 74] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2017] [Accepted: 10/18/2018] [Indexed: 02/06/2023] Open
Abstract
Ubiquitin-specific protease 14 (USP14) is one of the major proteasome-associated deubiquitinating enzymes critical for proteome homeostasis. However, substrates of USP14 remain largely unknown, hindering the understanding of its functional roles. Here we conduct a comprehensive proteome, ubiquitinome and interactome analysis for USP14 substrate screening. Bioinformatics analysis reveals broad new potential roles of USP14, especially in lipid and carbohydrate metabolism. Among the potential substrates identified, we show that fatty acid synthase (FASN), a key enzyme involved in hepatic lipogenesis, is a bona fide substrate of USP14. USP14 directly interacts with and increases FASN stability. As a result, overexpression of USP14 promotes liver triglyceride accumulation in C57BL/6 mice, whereas genetic ablation or pharmacological inhibition of USP14 ameliorates hepatosteatosis, hyperglycemia and insulin resistance in obese mice. In conclusion, our findings reveal for the first time an indispensable role of USP14 in hepatosteatosis through FASN stabilization. Ubiquitin-specific protease 14 (USP14) is a proteasome-associated deubiquitinating enzyme with known roles in physiology and disease. Here the authors show that fatty acid synthase (FASN) is a substrate of USP14, and that by stabilizing FASN, it plays a role in hepatosteatosis.
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Affiliation(s)
- Bin Liu
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan Institute of Metabolic Diseases, Key Laboratory of Metabolism and Molecular Medicine, the Ministry of Education, Fudan University, Shanghai, 200032, PR China.,Hubei Key Laboratory for Kidney Disease Pathogenesis and Intervention, Hubei Polytechnic University School of Medicine, Huangshi, Hubei, 435003, PR China.,State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, PR China
| | - Shangwen Jiang
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, PR China.,University of Chinese Academy of Sciences, Beijing, PR China
| | - Min Li
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan Institute of Metabolic Diseases, Key Laboratory of Metabolism and Molecular Medicine, the Ministry of Education, Fudan University, Shanghai, 200032, PR China
| | - Xuelian Xiong
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan Institute of Metabolic Diseases, Key Laboratory of Metabolism and Molecular Medicine, the Ministry of Education, Fudan University, Shanghai, 200032, PR China
| | - Mingrui Zhu
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, PR China.,University of Chinese Academy of Sciences, Beijing, PR China
| | - Duanzhuo Li
- Hubei Key Laboratory for Kidney Disease Pathogenesis and Intervention, Hubei Polytechnic University School of Medicine, Huangshi, Hubei, 435003, PR China
| | - Lei Zhao
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, PR China
| | - Lili Qian
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, PR China.,University of Chinese Academy of Sciences, Beijing, PR China
| | - Linhui Zhai
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, PR China
| | - Jing Li
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, PR China
| | - Han Lu
- Department of Anesthesiology, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine (SJTU-SM), Shanghai, 200025, PR China
| | - Shengnan Sun
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, PR China
| | - Jiandie Lin
- Life Sciences Institute and Department of Cell and Developmental Biology, University of Michigan Medical Center, Ann Arbor, MI, USA
| | - Yan Lu
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan Institute of Metabolic Diseases, Key Laboratory of Metabolism and Molecular Medicine, the Ministry of Education, Fudan University, Shanghai, 200032, PR China.
| | - Xiaoying Li
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan Institute of Metabolic Diseases, Key Laboratory of Metabolism and Molecular Medicine, the Ministry of Education, Fudan University, Shanghai, 200032, PR China.
| | - Minjia Tan
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, PR China. .,University of Chinese Academy of Sciences, Beijing, PR China.
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27
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Chen M, Zhang M, Zhai L, Hu H, Liu P, Tan M. Correction to “Tryptic Peptides Bearing C-Terminal Dimethyllysine Need to Be Considered during the Analysis of Lysine Dimethylation in Proteomic Study”. J Proteome Res 2018; 17:2915. [DOI: 10.1021/acs.jproteome.8b00450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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28
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Yuan L, Zhai L, Qian L, Huang D, Ding Y, Xiang H, Liu X, Thompson JW, Liu J, He YH, Chen XQ, Hu J, Kong QP, Tan M, Wang XF. Switching off IMMP2L signaling drives senescence via simultaneous metabolic alteration and blockage of cell death. Cell Res 2018; 28:625-643. [PMID: 29808012 DOI: 10.1038/s41422-018-0043-5] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2018] [Revised: 04/19/2018] [Accepted: 04/25/2018] [Indexed: 12/31/2022] Open
Abstract
Cellular senescence is a fundamental cell fate playing a significant role throughout the natural aging process. However, the molecular determinants distinguishing senescence from other cell-cycle arrest states such as quiescence and post-mitotic state, and the specified mechanisms underlying cell-fate decisions towards senescence versus cell death in response to cellular stress stimuli remain less understood. Employing multi-omics approaches, we revealed that switching off the specific mitochondrial processing machinery involving the peptidase IMMP2L serves as the foundation of the senescence program, which was also observed during the mammalian aging process. Mechanistically, we demonstrate that IMMP2L processes and thus activates at least two substrates, mitochondrial metabolic enzyme glycerol-3-phosphate dehydrogenase (GPD2) and cell death regulator apoptosis-inducing factor (AIF). For cells destined to senesce, concerted shutdown of the IMMP2L-GPD2 and IMMP2L-AIF signaling axes collaboratively drives the senescent process by reprogramming mitochondria-associated redox status, phospholipid metabolism and signaling network, and simultaneously blocking cell death under oxidative stress conditions.
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Affiliation(s)
- Lifeng Yuan
- Graduate Program in Molecular Cancer Biology, Duke University School of Medicine, Durham, NC, 27710, USA.,Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Linhui Zhai
- Chemical Proteomics Center and State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
| | - Lili Qian
- Chemical Proteomics Center and State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
| | - De Huang
- Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Yi Ding
- Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Handan Xiang
- Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Xiaojing Liu
- Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, NC, 27710, USA
| | - J Will Thompson
- Proteomics and Metabolomics Shared Resource, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Juan Liu
- Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Yong-Han He
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Xiao-Qiong Chen
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Jing Hu
- Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Qing-Peng Kong
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Minjia Tan
- Chemical Proteomics Center and State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
| | - Xiao-Fan Wang
- Graduate Program in Molecular Cancer Biology, Duke University School of Medicine, Durham, NC, 27710, USA. .,Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, NC, 27710, USA.
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29
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Sun Y, Zhai L, Ma S, Zhang C, Zhao L, Li N, Xu Y, Zhang T, Guo Z, Zhang H, Xu P, Zhao X. Down-regulation of RIP3 potentiates cisplatin chemoresistance by triggering HSP90-ERK pathway mediated DNA repair in esophageal squamous cell carcinoma. Cancer Lett 2018; 418:97-108. [DOI: 10.1016/j.canlet.2018.01.022] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2017] [Revised: 12/30/2017] [Accepted: 01/08/2018] [Indexed: 11/29/2022]
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30
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Li S, Wang TT, Zhai L, Deng WW, Guo YL, Jiang JX. [Effect of picroside Ⅱ on the expression of mitochondrial VDAC1 after cerebral ischemia/reperfusion in rats]. Zhonghua Yi Xue Za Zhi 2018; 98:136-142. [PMID: 29343040 DOI: 10.3760/cma.j.issn.0376-2491.2018.02.013] [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] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To explore the effect of picroside Ⅱ on the expression of mitochondrial voltage-dependent anion channel 1 (VDAC1) in rats after cerebral ischemiareperfusion. Methods: A total of 70 Wistar rats models with middle cerebral artery occlusionreperfusion (MCAO/R) were randomly divided into the sham group, model group, picroside (Picr) group, ruthenium red (RuR) group, RuR+ Picr group, Spermine (Sper) group, Sper+ Picr group (n=10 per group). Modified neurological severity scale (mNSS) was used to evaluated the neurobehavioral function, the expression of reactive oxygen species (ROS) in brain tissues were measured by enzyme-linked immunosorbent assay (ELISA), the morphology of brain tissues was observed by hematoxylin-eosin (HE) staining, the apoptotic cells were counted by terminal deoxynucleotidyl transferase dUTP nick end labeling assay (TUNEL), and the expressions of VDAC1 and endonuclease G (EndoG) were determined by immunohistochemical assay and Western blot. Results: Compared with the shame group, the mNSS scores (9.6±1.9), the expression of ROS[(47.6±2.7)U/ml], the apoptosis of neuron(23.8±2.8), and the expressions of VDAC1(0.94±0.06) and EndoG in cytoplasm (0.76±0.06) and nuclei(0.75±0.06)were enhanced in the model group (all P<0.05). The Picr group had obviously decreased mNSS scores (5.7±0.9), ROS expression[(35.6±2.2)U/ml], number of apoptotic cells (14.5±2.1), VDAC1 (0.63±0.06) and EndoG in cytoplasm (0.34±0.05) and nuclei (0.31±0.06)expressions compared to the model group (P<0.05). Conclusion: Picroside Ⅱ could attenuate cerebral I/R injury by down-regulating the expression of VDAC1 and inhibiting the EndoG release from mitochondria into cytoplasm.
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Affiliation(s)
- S Li
- Institute of Cerebrovascular Diseases, Affiliated Hospital of Qingdao University, Qingdao 266003, China
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31
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Sun C, Yuan M, Zhai L, Li D, Zhang X, Wu T, Xu X, Wang Y, Han Z. Iron deficiency stress can induce MxNAS1 protein expression to facilitate iron redistribution in Malus xiaojinensis. Plant Biol (Stuttg) 2018; 20:29-38. [PMID: 28921771 DOI: 10.1111/plb.12630] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [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: 05/26/2023]
Abstract
Iron (Fe) is a vital trace element in plants, and deficiency of this element in apple trees can reduce fruit quality. Nicotianamine (NA) is known to play an important role in Fe transport and endogenous hormone balance. In the present study, we investigated the role of a nicotianamine synthase 1 gene (MxNas1) in an apple species, Malus xiaojinensis, that has a more Fe-efficient genotype than other apple species and ecotypes. To characterise the response of M. xiaojinensis to Fe deficiency, we used quantitative Q-PCR to determine the level of expression of MxNas1 and Western blot to measure protein levels. Immunohistochemical staining and GFP fluorescence localisation of the MxNAS1 protein were also carried out. HPLC and polarised absorption spectrophotometry were performed to investigate the effects of overexpression of MxNas1 in order to elucidate the role of MxNAS1 in the cellular uptake of active Fe in tobacco suspension cells. We found that MxNas1 expression and protein levels were higher under Fe deficiency stress than under Fe sufficiency. Immunohistochemical staining showed that MxNAS1 was localised mainly in the epidermal and vascular tissues of the roots, vascular tissues of the stem and palisade cells of mature leaves, and in parenchyma cells of young leaves. MxNAS1 was mainly localised in the plasma membranes and vesicles of protoplasts. In addition, overexpression of MxNas1 in stable transgenic tobacco cells increased NA and active Fe content under Fe sufficiency. The results suggest that MxNas1 expression in M. xiaojinensis is induced in response to Fe deficiency stress, resulting in higher levels of the protein. MxNAS1 may be involved in the redistribution of Fe in M. xiaojinensis under Fe deficiency.
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Affiliation(s)
- C Sun
- Institute for Horticultural Plants, College of Horticulture, China Agricultural University, Beijing, China
- Key Laboratory of Physiology and Molecular Biology of Tree Fruit of Beijing, China Agricultural University, Beijing, China
| | - M Yuan
- Institute for Horticultural Plants, College of Horticulture, China Agricultural University, Beijing, China
- Key Laboratory of Physiology and Molecular Biology of Tree Fruit of Beijing, China Agricultural University, Beijing, China
- Beijing Bayi High School, Beijing, China
| | - L Zhai
- Institute for Horticultural Plants, College of Horticulture, China Agricultural University, Beijing, China
- Key Laboratory of Physiology and Molecular Biology of Tree Fruit of Beijing, China Agricultural University, Beijing, China
| | - D Li
- Institute for Horticultural Plants, College of Horticulture, China Agricultural University, Beijing, China
- Key Laboratory of Physiology and Molecular Biology of Tree Fruit of Beijing, China Agricultural University, Beijing, China
| | - X Zhang
- Institute for Horticultural Plants, College of Horticulture, China Agricultural University, Beijing, China
- Key Laboratory of Physiology and Molecular Biology of Tree Fruit of Beijing, China Agricultural University, Beijing, China
| | - T Wu
- Institute for Horticultural Plants, College of Horticulture, China Agricultural University, Beijing, China
- Key Laboratory of Physiology and Molecular Biology of Tree Fruit of Beijing, China Agricultural University, Beijing, China
| | - X Xu
- Institute for Horticultural Plants, College of Horticulture, China Agricultural University, Beijing, China
- Key Laboratory of Physiology and Molecular Biology of Tree Fruit of Beijing, China Agricultural University, Beijing, China
| | - Y Wang
- Institute for Horticultural Plants, College of Horticulture, China Agricultural University, Beijing, China
- Key Laboratory of Physiology and Molecular Biology of Tree Fruit of Beijing, China Agricultural University, Beijing, China
| | - Z Han
- Institute for Horticultural Plants, College of Horticulture, China Agricultural University, Beijing, China
- Key Laboratory of Physiology and Molecular Biology of Tree Fruit of Beijing, China Agricultural University, Beijing, China
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32
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Chen M, Zhang M, Zhai L, Hu H, Liu P, Tan M. Tryptic Peptides Bearing C-Terminal Dimethyllysine Need to Be Considered during the Analysis of Lysine Dimethylation in Proteomic Study. J Proteome Res 2017; 16:3460-3469. [PMID: 28730820 DOI: 10.1021/acs.jproteome.7b00373] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Lysine methylation plays important roles in structural and functional regulation of chromatin. Although trypsin is the most widely used protease in mass spectrometry-based proteomic analysis for lysine methylation substrates, the proteolytic activity of trypsin on dimethylated lysine residues remains an arguable issue. In this study, we tested the ability of trypsin to cleave dimethylated lysine residues in synthetic peptides, purified albumin, and whole cell lysate, and found that the C-terminal of dimethylated lysine residue could be cleaved in a protein sequence-dependent manner. Kinetic studies revealed that the optimal digestion time and enzyme-to-substrate ratio for the cleavage of dimethylated lysine by trypsin was around 16 h and 1:50, respectively. We further showed the tryptic C-terminal lysine-dimethylated (C-Kme2) peptides could contribute to a significant portion of substrate identification in the proteomic study, which utilizes the chemical dimethylation labeling approach. More than 120 tryptic C-Kme2 peptides (7% of total peptides identified) were identified in chemically lysine-dimethyl-labeled HeLa whole cell lysate by a single-shot nanoflow high performance liquid chromatography with tandem mass spectrometry (nano-HPLC-MS/MS) analysis. Moreover, in an assay for substrate identification of protease Glu-C using stable isotope dimethyl labeling approach, our data showed the tryptic C-Kme2 peptides accounted for more than 13% of total tryptic peptides. Additionally, our in vivo methylome profiling data revealed some C-Kme2 peptides, which is of importance to identification and quantification of biologically relevant protein and lysine-methylated site. Therefore, we reason that the tryptic peptides bearing C-terminal dimethylated lysine need to be considered in the mass spectrometric analysis of lysine dimethylation.
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Affiliation(s)
- Ming Chen
- The Chemical Proteomics Center and State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences , Shanghai 201203, PR China.,University of Chinese Academy of Sciences , Beijing 100049, PR China
| | - Min Zhang
- The Chemical Proteomics Center and State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences , Shanghai 201203, PR China.,University of Chinese Academy of Sciences , Beijing 100049, PR China
| | - Linhui Zhai
- The Chemical Proteomics Center and State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences , Shanghai 201203, PR China
| | - Hao Hu
- The Chemical Proteomics Center and State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences , Shanghai 201203, PR China
| | - Ping Liu
- The Chemical Proteomics Center and State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences , Shanghai 201203, PR China
| | - Minjia Tan
- The Chemical Proteomics Center and State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences , Shanghai 201203, PR China.,University of Chinese Academy of Sciences , Beijing 100049, PR China
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33
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Zhai L. OS09.2 Enhancing immunity while neutralizing T cell-induced immunosuppression through combinatorial immunotherapy of glioblastoma. Neuro Oncol 2017. [DOI: 10.1093/neuonc/nox036.061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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34
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Kifer I, Branca RM, Ben-Dor A, Zhai L, Xu P, Lehtio J, Yakhini Z. Optimizing Analytical Depth and Cost Efficiency of IEF-LC/MS Proteomics. IEEE/ACM Trans Comput Biol Bioinform 2017; 14:272-281. [PMID: 28368805 DOI: 10.1109/tcbb.2015.2452901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
IEF LC-MS/MS is an analytical method that incorporates a two-step sample separation prior to MS identification of proteins. When analyzing complex samples this preparatory separation allows for higher analytical depth and improved quantification accuracy of proteins. However, cost and analysis time are greatly increased as each analyzed IEF fraction is separately profiled using LC-MS/MS. We propose an approach that selects a subset of IEF fractions for LC-MS/MS analysis that is highly informative in the context of a group of proteins of interest. Specifically, our method allows a significant reduction in cost and instrument time as compared to the standard protocol of running all fractions, with little compromise to coverage. We develop algorithmics to optimize the selection of the IEF fractions on which to run LC-MS/MS. We translate the fraction optimization task to Minimum Set Cover, a well-studied NP-hard problem. We develop heuristic solutions and compare them in terms of effectiveness and running times. We provide examples to demonstrate advantages and limitations of each algorithmic approach. Finally, we test our methodology by applying it to experimental data obtained from IEF LC-MS/MS analysis of yeast and human samples. We demonstrate the benefit of this approach for analyzing complex samples with a focus on different protein sets of interest.
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Sun M, Xu J, Wu Z, Zhai L, Liu C, Cheng Z, Xu G, Tao S, Ye BC, Zhao Y, Tan M. Characterization of Protein Lysine Propionylation in Escherichia coli: Global Profiling, Dynamic Change, and Enzymatic Regulation. J Proteome Res 2016; 15:4696-4708. [DOI: 10.1021/acs.jproteome.6b00798] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Affiliation(s)
- Mingwei Sun
- The
Chemical Proteomics Center and State Key Laboratory of Drug Research,
Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, P. R. China
- University of Chinese Academy of Sciences, Beijing 100049, P. R. China
| | - Junyu Xu
- The
Chemical Proteomics Center and State Key Laboratory of Drug Research,
Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, P. R. China
- Lab
of Biosystems and Microanalysis, State Key Laboratory of Bioreactor
Engineering, East China University of Science and Technology, Shanghai 200237, P. R. China
| | - Zhixiang Wu
- Pediatric
Surgery Department, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, 1665 Kongjiang Road, Shanghai 200092, P. R. China
| | - Linhui Zhai
- The
Chemical Proteomics Center and State Key Laboratory of Drug Research,
Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, P. R. China
- University of Chinese Academy of Sciences, Beijing 100049, P. R. China
| | - Chengxi Liu
- Shanghai
Center for Systems Biomedicine, Key Laboratory of Systems Biomedicine
(Ministry of Education), Shanghai Jiao Tong University, Shanghai 200240, P. R. China
| | - Zhongyi Cheng
- Jingjie PTM BioLab (Hangzhou) Co. Ltd, Hangzhou 310018, P. R. China
| | - Guofeng Xu
- Pediatric
Surgery Department, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, 1665 Kongjiang Road, Shanghai 200092, P. R. China
| | - Shengce Tao
- Shanghai
Center for Systems Biomedicine, Key Laboratory of Systems Biomedicine
(Ministry of Education), Shanghai Jiao Tong University, Shanghai 200240, P. R. China
| | - Bang-Ce Ye
- Lab
of Biosystems and Microanalysis, State Key Laboratory of Bioreactor
Engineering, East China University of Science and Technology, Shanghai 200237, P. R. China
| | - Yingming Zhao
- The
Chemical Proteomics Center and State Key Laboratory of Drug Research,
Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, P. R. China
- Ben
May Department for Cancer Research, University of Chicago, Chicago, Illinois 60637, United States
| | - Minjia Tan
- The
Chemical Proteomics Center and State Key Laboratory of Drug Research,
Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, P. R. China
- University of Chinese Academy of Sciences, Beijing 100049, P. R. China
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36
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Yu T, Yi T, Tian M, Xu Z, Zhang Y, Zhai L, Yang X, Xu P. Re-SILAC: A Simple and Convenient Approach for the Preparation of the SILAC Internal Standards. CURR PROTEOMICS 2016. [DOI: 10.2174/1570164613666160609130437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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37
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Chen L, Zhai L, Qu C, Zhang C, Li S, Wu F, Qi Y, Lu F, Xu P, Li X, Shi D. Comparative Proteomic Analysis of Buffalo Oocytes Matured in vitro Using iTRAQ Technique. Sci Rep 2016; 6:31795. [PMID: 27561356 PMCID: PMC4999887 DOI: 10.1038/srep31795] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2016] [Accepted: 07/26/2016] [Indexed: 12/11/2022] Open
Abstract
To investigate the protein profiling of buffalo oocytes at the germinal vesicle (GV) stage and metaphase II (MII) stage, an iTRAQ-based strategy was applied. A total of 3,763 proteins were identified, which representing the largest buffalo oocytes proteome dataset to date. Among these proteins identified, 173 proteins were differentially expressed in GV oocytes and competent MII oocytes, and 146 proteins were differentially abundant in competent and incompetent matured oocytes. Functional and KEGG pathway analysis revealed that the up-regulated proteins in competent MII oocytes were related to chromosome segregation, microtubule-based process, protein transport, oxidation reduction, ribosome, and oxidative phosphorylation, etc., in comparison with GV and incompetent MII oocytes. This is the first proteomic report on buffalo oocytes from different maturation stages and developmental competent status. These data will provide valuable information for understanding the molecular mechanism underlying buffalo oocyte maturation, and these proteins may potentially act as markers to predict developmental competence of buffalo oocyte during in vitro maturation.
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Affiliation(s)
- Lingsheng Chen
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangxi University, Nanning 530005, China.,State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Engineering Research Center for Protein Drugs, National Center for Protein Sciences, Beijing Institute of Radiation Medicine, Beijing 102206, China
| | - Linhui Zhai
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Engineering Research Center for Protein Drugs, National Center for Protein Sciences, Beijing Institute of Radiation Medicine, Beijing 102206, China.,Chemical Proteomics Center &State Key Laboratory of Drug Research, Shanghai Institute of Materia Medical, Chinese Academy of Sciences, Shanghai, 201203, China
| | - Chunfeng Qu
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangxi University, Nanning 530005, China.,Department of reproductive medicine, Hechi People's hospital of Guangxi, Hechi 547000, China
| | - Chengpu Zhang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Engineering Research Center for Protein Drugs, National Center for Protein Sciences, Beijing Institute of Radiation Medicine, Beijing 102206, China
| | - Sheng Li
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangxi University, Nanning 530005, China
| | - Feilin Wu
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Engineering Research Center for Protein Drugs, National Center for Protein Sciences, Beijing Institute of Radiation Medicine, Beijing 102206, China
| | - Yingzi Qi
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Engineering Research Center for Protein Drugs, National Center for Protein Sciences, Beijing Institute of Radiation Medicine, Beijing 102206, China
| | - Fenghua Lu
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangxi University, Nanning 530005, China
| | - Ping Xu
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Engineering Research Center for Protein Drugs, National Center for Protein Sciences, Beijing Institute of Radiation Medicine, Beijing 102206, China.,Key Laboratory of Combinatorial Biosynthesis and Drug Discovery (Wuhan University), Ministry of Education, and Wuhan University School of Pharmaceutical Sciences, Wuhan 430071, China
| | - Xiangping Li
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangxi University, Nanning 530005, China
| | - Deshun Shi
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangxi University, Nanning 530005, China
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38
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Qian L, Nie L, Chen M, Liu P, Zhu J, Zhai L, Tao SC, Cheng Z, Zhao Y, Tan M. Global Profiling of Protein Lysine Malonylation in Escherichia coli Reveals Its Role in Energy Metabolism. J Proteome Res 2016; 15:2060-71. [DOI: 10.1021/acs.jproteome.6b00264] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Affiliation(s)
- Lili Qian
- The
Chemical Proteomics Center and State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, PR China
- University of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Litong Nie
- The
Chemical Proteomics Center and State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, PR China
- University of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Ming Chen
- The
Chemical Proteomics Center and State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, PR China
- University of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Ping Liu
- The
Chemical Proteomics Center and State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, PR China
- University of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Jun Zhu
- Jingjie PTM BioLab (Hangzhou) Co. Ltd, Hangzhou 310018, PR China
| | - Linhui Zhai
- The
Chemical Proteomics Center and State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, PR China
- University of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Sheng-ce Tao
- Shanghai
Center for Systems Biomedicine, Key Laboratory of Systems Biomedicine
(Ministry of Education), Shanghai Jiao Tong University, Shanghai 200240, PR China
| | - Zhongyi Cheng
- Jingjie PTM BioLab (Hangzhou) Co. Ltd, Hangzhou 310018, PR China
| | - Yingming Zhao
- The
Chemical Proteomics Center and State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, PR China
- University of Chinese Academy of Sciences, Beijing 100049, PR China
- Ben
May Department for Cancer Research, University of Chicago, Chicago, Illinois 60637, United States
| | - Minjia Tan
- The
Chemical Proteomics Center and State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, PR China
- University of Chinese Academy of Sciences, Beijing 100049, PR China
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40
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Chen L, Zhai L, Li Y, Li N, Zhang C, Ping L, Chang L, Wu J, Li X, Shi D, Xu P. Development of gel-filter method for high enrichment of low-molecular weight proteins from serum. PLoS One 2015; 10:e0115862. [PMID: 25723528 PMCID: PMC4344347 DOI: 10.1371/journal.pone.0115862] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2014] [Accepted: 12/02/2014] [Indexed: 11/18/2022] Open
Abstract
The human serum proteome has been extensively screened for biomarkers. However, the large dynamic range of protein concentrations in serum and the presence of highly abundant and large molecular weight proteins, make identification and detection changes in the amount of low-molecular weight proteins (LMW, molecular weight ≤ 30kDa) difficult. Here, we developed a gel-filter method including four layers of different concentration of tricine SDS-PAGE-based gels to block high-molecular weight proteins and enrich LMW proteins. By utilizing this method, we identified 1,576 proteins (n = 2) from 10 μL serum. Among them, 559 (n = 2) proteins belonged to LMW proteins. Furthermore, this gel-filter method could identify 67.4% and 39.8% more LMW proteins than that in representative methods of glycine SDS-PAGE and optimized-DS, respectively. By utilizing SILAC-AQUA approach with labeled recombinant protein as internal standard, the recovery rate for GST spiked in serum during the treatment of gel-filter, optimized-DS, and ProteoMiner was 33.1 ± 0.01%, 18.7 ± 0.01% and 9.6 ± 0.03%, respectively. These results demonstrate that the gel-filter method offers a rapid, highly reproducible and efficient approach for screening biomarkers from serum through proteomic analyses.
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Affiliation(s)
- Lingsheng Chen
- State Key Laboratory of Proteomics, National Engineering Research Center for Protein Drugs, Beijing Proteome Research Center, National Center for Protein Sciences, Beijing Institute of Radiation Medicine, Beijing, 102206, P. R. China
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangxi University, Nanning, 530005, P. R. China
| | - Linhui Zhai
- State Key Laboratory of Proteomics, National Engineering Research Center for Protein Drugs, Beijing Proteome Research Center, National Center for Protein Sciences, Beijing Institute of Radiation Medicine, Beijing, 102206, P. R. China
| | - Yanchang Li
- State Key Laboratory of Proteomics, National Engineering Research Center for Protein Drugs, Beijing Proteome Research Center, National Center for Protein Sciences, Beijing Institute of Radiation Medicine, Beijing, 102206, P. R. China
| | - Ning Li
- State Key Laboratory of Proteomics, National Engineering Research Center for Protein Drugs, Beijing Proteome Research Center, National Center for Protein Sciences, Beijing Institute of Radiation Medicine, Beijing, 102206, P. R. China
| | - Chengpu Zhang
- State Key Laboratory of Proteomics, National Engineering Research Center for Protein Drugs, Beijing Proteome Research Center, National Center for Protein Sciences, Beijing Institute of Radiation Medicine, Beijing, 102206, P. R. China
| | - Lingyan Ping
- State Key Laboratory of Proteomics, National Engineering Research Center for Protein Drugs, Beijing Proteome Research Center, National Center for Protein Sciences, Beijing Institute of Radiation Medicine, Beijing, 102206, P. R. China
| | - Lei Chang
- State Key Laboratory of Proteomics, National Engineering Research Center for Protein Drugs, Beijing Proteome Research Center, National Center for Protein Sciences, Beijing Institute of Radiation Medicine, Beijing, 102206, P. R. China
| | - Junzhu Wu
- Department of Biochemistry, School of Medicine, Wuhan University, Wuhan, 430071, P. R. China
| | - Xiangping Li
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangxi University, Nanning, 530005, P. R. China
| | - Deshun Shi
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangxi University, Nanning, 530005, P. R. China
- * E-mail: (DSS); (PX)
| | - Ping Xu
- State Key Laboratory of Proteomics, National Engineering Research Center for Protein Drugs, Beijing Proteome Research Center, National Center for Protein Sciences, Beijing Institute of Radiation Medicine, Beijing, 102206, P. R. China
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery (Wuhan University), Ministry of Education, and Wuhan University School of Pharmaceutical Sciences, Wuhan, 430071, P. R. China
- * E-mail: (DSS); (PX)
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41
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Yu J, Chen Y, Zhai L, Zhang L, Xu Y, Wang S, Hu S. Antioxidative effect of ginseng stem-leaf saponins on oxidative stress induced by cyclophosphamide in chickens. Poult Sci 2015; 94:927-33. [PMID: 25713395 DOI: 10.3382/ps/pev055] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/14/2014] [Indexed: 12/23/2022] Open
Abstract
Previous investigation demonstrated that oral administration of ginseng stem-leaf saponins in chickens could enhance the immune response. The present study was designed to evaluate the effects of ginseng stem-leaf saponins on oxidative stress induced by cyclophosphamide in chickens. One hundred and twenty chickens were randomly divided into 5 groups. Groups 1 to 4 received intramuscular injection of cyclophosphamide to induce oxidative stress while group 5 was injected with saline solution and served as control. Following administration of cyclophosphamide, groups 1 to 3 were orally administered ginseng stem-leaf saponins at 2.5, 5, and 10 mg/kg BW in drinking water for 7 d, respectively. After that, the spleen, thymus, bursa, and serum were collected to measure the indices of the organs and oxidative parameters. The results showed that ginseng stem-leaf saponins significantly inhibited cyclophosphamide-induced oxidative stress by increasing the organ indices, total antioxidant capacity, and the levels of glutathione, ascorbic acid, and α-tocopherol, while elevating the activity of total superoxide dismutase, catalase, and glutathione peroxidase, as well as decreasing the protein carbonyl content and malondialdehyde. Therefore, ginseng stem-leaf saponins could be a promising agent against oxidative stress in the poultry industry.
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Affiliation(s)
- J Yu
- Department of Veterinary Medicine, College of Animal Sciences, Zhejiang University, Hangzhou, Zhejiang, 310058, P. R. China
| | - Y Chen
- Department of Veterinary Medicine, College of Animal Sciences, Zhejiang University, Hangzhou, Zhejiang, 310058, P. R. China
| | - L Zhai
- Department of Veterinary Medicine, College of Animal Sciences, Zhejiang University, Hangzhou, Zhejiang, 310058, P. R. China
| | - L Zhang
- Department of Veterinary Medicine, College of Animal Sciences, Zhejiang University, Hangzhou, Zhejiang, 310058, P. R. China
| | - Y Xu
- Department of Veterinary Medicine, College of Animal Sciences, Zhejiang University, Hangzhou, Zhejiang, 310058, P. R. China
| | - S Wang
- Department of Veterinary Medicine, College of Animal Sciences, Zhejiang University, Hangzhou, Zhejiang, 310058, P. R. China
| | - S Hu
- Department of Veterinary Medicine, College of Animal Sciences, Zhejiang University, Hangzhou, Zhejiang, 310058, P. R. China
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42
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Chen M, Zhai L, Arendrup MC. In vitro activity of 23 tea extractions and epigallocatechin gallate against Candida species. Med Mycol 2015; 53:194-8. [DOI: 10.1093/mmy/myu073] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
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43
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Greene TK, Lyde RB, Bailey SC, Lambert MP, Zhai L, Sabatino DE, Camire RM, Arruda VR, Poncz M. Apoptotic effects of platelet factor VIII on megakaryopoiesis: implications for a modified human FVIII for platelet-based gene therapy. J Thromb Haemost 2014; 12:2102-12. [PMID: 25287191 DOI: 10.1111/jth.12749] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2014] [Accepted: 09/23/2014] [Indexed: 11/27/2022]
Abstract
BACKGROUND Ectopically expressed B-domainless factor VIII in megakaryocytes is stored in α-granules, is effective in a number of murine hemostatic models, and is protected from circulating inhibitors. However, this platelet (p) FVIII has different temporal-spatial availability from plasma FVIII, with limited efficacy in other murine hemostatic models. OBJECTIVES AND METHODS We sought to improve pFVIII hemostatic efficacy by expressing canine (c) FVIII, which has higher stability and activity than human (h) FVIII in FVIII(null) mice. RESULTS AND CONCLUSIONS We found that pcFVIII was more effective than phFVIII at restoring hemostasis, but peak pcFVIII antigen levels were lower and were associated with greater megakaryocyte apoptosis than phFVIII. These new insights suggest that pFVIII gene therapy strategies should focus on enhancing activity rather than levels. We previously showed that modification of the PACE/furin cleavage site in hFVIII resulted in secretion of hFVIII primarily as a single-chain molecule with increased biological activity. In megakaryocytes, this variant was expressed at the same level as phFVIII with a lentiviral bone marrow transplant approach to reconstitute FVIII(null) mice, but was more effective, resulting in near-normal hemostasis in the cremaster laser injury model. These studies may have implications for pFVIII gene therapy in hemophilia A.
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Affiliation(s)
- T K Greene
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
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44
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Fan F, Gao H, Xu Z, Zhai L, Yi T, Zhang T, Wu F, Cui C, Xu P. [Feeding mouse with stable isotope labelled with amino acid]. Sheng Wu Gong Cheng Xue Bao 2014; 30:1602-1611. [PMID: 25726585] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
The stable isotope labeling by amino acids in culture (SILAC) based quantitative proteomics serves as a gold standard because of the high accuracy and throughput for protein identifications and quantification. In this study, we discussed the application of SILAC technology in mammal model, and developed quantitative internal standard for comparative proteomics of disease model. The C57BL/6J mice fed by special diet containing the 13C6-Lysine and bred F2 generation. We identified and analyzed total proteins of 9 mice tissues of F2 generation, including brain, lung, heart, stomach, intestine, liver, spleen, kidney, and muscle. Quantitative analysis information could evaluate the mice and different tissues' labeling efficiency. Liver was the most efficient, brain the least, and the labeling efficiency were 96.34%±0.90% and 92.62%±1.98% respectively. The average of the labeling efficiency of F2 generation was 95.80%±0.64%, which met the international standard (≥ 95%) for SILAC quantitative proteomics effective study. SILAC technology was successfully extended to mammalian model system, which will provide powerful tools for the mechanism study of the pathophysiology process with mouse model.
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45
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Ma S, Zhang T, Zhai L, Sun Y, Xu P, Zhao X. [Short gel method for pretreatment of protein samples with high concentration of detergent]. Sheng Wu Gong Cheng Xue Bao 2014; 30:1446-1453. [PMID: 25720159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
In proteomic research, to improve protein solubility of membrane proteins and nuclear proteins, buffers containing high concentration of detergent, such as 4% SDS, were widely used. However, high concentration of detergent might severely interfere with the downstream proteomic analysis, including protein quantitation and trypsin digestion. To improve the proteomic compatibility of buffers with high concentration of detergent, we used short gel method to pretreat buffers containing detergent. Protein samples were first separated by a short (2-2.5 mm) SDS-PAGE electrophoresis, and proteins were quantitated by comparing with bovine serum albumin standards via optical density analysis. The gel was then cut and peptides were recovered using in-gel digestion. The quantitative linearity range of this method was 1 to 8 μg. The quantitation was accurate and reproducible. After short gel analysis, recovered peptides generated high mass spectrometry signals. In conclusion, short gel method eliminated the interference of high concentration detergent in the proteomics analysis, and it was suitable for protein samples' pretreatment, and was worth to apply in proteomic research.
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46
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Zhai L, Wang Y, Yu J, Hu S. Enhanced immune responses of chickens to oral vaccination against infectious bursal disease by ginseng stem-leaf saponins. Poult Sci 2014; 93:2473-81. [PMID: 25125559 DOI: 10.3382/ps.2014-04056] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Infectious bursal disease (IBD), caused by infectious bursal disease virus (IBDV), is an immunosuppressive infectious disease of global economic importance in poultry. This study was designed to evaluate the effect of oral administration of ginseng stem-leaf saponins (GSLS) on humoral and gut mucosal immunity in chickens vaccinated with live IBDV vaccine, and furthermore, to test its protective efficacy against virulent IBDV challenge following vaccination. In experiment 1, chickens were orally administered with GSLS at 5 mg/kg of BW for 7 d, and then immunized with live IBDV vaccine via the oral route. Serum was sampled on 0, 1, 2, 3, 4, and 5 wk postvaccination for detecting antibody titers by ELISA, and intestinal tissues were collected on 0, 1, 3, and 5 wk postvaccination for measurement of IgA-positive cells and intestinal intraepithelial lymphocytes by immunohistochemical and hematoxylin-eosin staining, respectively. Result showed that antibody titers, IgA-positive cells and intestinal intraepithelial lymphocytes were significantly higher in chickens drinking GSLS than the control, suggesting an enhanced effect of GSLS on humoral and gut mucosal immune responses. In experiment 2, chickens were delivered with GSLS and then vaccinated in the same way as in experiment 1. The birds were challenged with virulent IBDV at wk 3 postvaccination. Then the birds were weighed, bled, and necropsied at d 3 postchallenge and the bursae were sampled for gross and histopathological examination. Results demonstrated that GSLS provided a better protection against virulent IBDV challenge following vaccination than the control. In conclusion, oral administration of GSLS enhances both humoral and gut mucosal immune responses to IBDV and offers a better protection against virulent IBDV challenge. Considering its immunomodulatory properties to IBDV vaccine, GSLS might be a promising oral adjuvant for vaccination against infectious diseases in poultry.
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Affiliation(s)
- L Zhai
- Department of Veterinary Medicine, College of Animal Sciences, Zhejiang University, Hangzhou, Zhejiang, 310058, P. R. China
| | - Y Wang
- Department of Veterinary Medicine, College of Animal Sciences, Zhejiang University, Hangzhou, Zhejiang, 310058, P. R. China
| | - J Yu
- Department of Veterinary Medicine, College of Animal Sciences, Zhejiang University, Hangzhou, Zhejiang, 310058, P. R. China
| | - S Hu
- Department of Veterinary Medicine, College of Animal Sciences, Zhejiang University, Hangzhou, Zhejiang, 310058, P. R. China
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47
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Xing X, Zhang C, Li N, Zhai L, Zhu Y, Yang X, Xu P. Qualitative and quantitative analysis of the adult Drosophila melanogaster proteome. Proteomics 2014; 14:286-290. [PMID: 24259522 DOI: 10.1002/pmic.201300121] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2013] [Revised: 10/17/2013] [Accepted: 11/11/2013] [Indexed: 01/22/2024]
Abstract
Drosophila melanogaster is one of the most widely used model organisms in life sciences. Mapping its proteome is of great significance for understanding the biological characteristics and tissue functions of this species. However, the comprehensive coverage of its proteome remains a challenge. Here, we describe a high-coverage analysis of whole fly through a 1D gel electrophoresis and LC-MS/MS approach. By combining the datasets of two types of SDS-PAGE and two kinds of tagmata, the high-coverage analysis resulted in the identification of 5262 genes, which correspond to 38.23% of the entire coding genes. Moreover, we found that the fly head and body have different molecular weight distributions of their proteomes when the proteins were resolved with SDS-PAGE and image analysis of the stained gel. This phenomenon was further confirmed by both label-free and isobaric tags for relative and absolute quantitation-based quantitative approaches. The consistent results of the two different quantitation methods also demonstrated the stability and accuracy of the LC-MS/MS platform. The MS proteomics data have been deposited to the ProteomeXchange with identifiers PXD000454 and PXD000455 (http://proteomecentral.proteomexchange.org/dataset/PXD000454; (http://proteomecentral.proteomexchange.org/dataset/PXD000455).
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Affiliation(s)
- Xiaohua Xing
- State Key Laboratory of Proteomics, National Engineering Research Center for Protein Drugs, Beijing Proteome Research Center, National Center for Protein Sciences Beijing, Beijing Institute of Radiation Medicine, Beijing, P. R. China; College of Life Science and Bioengineering, Beijing University of Technology, Beijing, P. R. China
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48
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Liu W, Shang Y, Zeng Y, Liu C, Li Y, Zhai L, Wang P, Lou J, Xu P, Ye Y, Li W. Dimeric Ube2g2 simultaneously engages donor and acceptor ubiquitins to form Lys48-linked ubiquitin chains. EMBO J 2013; 33:46-61. [PMID: 24366945 DOI: 10.1002/embj.201385315] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Cellular adaptation to proteotoxic stress at the endoplasmic reticulum (ER) depends on Lys48-linked polyubiquitination by ER-associated ubiquitin ligases (E3s) and subsequent elimination of ubiquitinated retrotranslocation products by the proteasome. The ER-associated E3 gp78 ubiquitinates misfolded proteins by transferring preformed Lys48-linked ubiquitin chains from the cognate E2 Ube2g2 to substrates. Here we demonstrate that Ube2g2 synthesizes linkage specific ubiquitin chains by forming an unprecedented homodimer: The dimerization of Ube2g2, mediated primarily by electrostatic interactions between two Ube2g2s, is also facilitated by the charged ubiquitin molecules. Mutagenesis studies show that Ube2g2 dimerization is required for ER-associated degradation (ERAD). In addition to E2 dimerization, we show that a highly conserved arginine residue in the donor Ube2g2 senses the presence of an aspartate in the acceptor ubiquitin to position only Lys48 of ubiquitin in proximity to the donor E2 active site. These results reveal an unanticipated mode of E2 self-association that allows the E2 to effectively engage two ubiquitins to specifically synthesize Lys48-linked ubiquitin chains.
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Affiliation(s)
- Weixiao Liu
- State Key Laboratory of Reproductive Biology, Institute of Zoology Chinese Academy of Sciences, Beijing, China
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49
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Chang C, Li L, Zhang C, Wu S, Guo K, Zi J, Chen Z, Jiang J, Ma J, Yu Q, Fan F, Qin P, Han M, Su N, Chen T, Wang K, Zhai L, Zhang T, Ying W, Xu Z, Zhang Y, Liu Y, Liu X, Zhong F, Shen H, Wang Q, Hou G, Zhao H, Li G, Liu S, Gu W, Wang G, Wang T, Zhang G, Qian X, Li N, He QY, Lin L, Yang P, Zhu Y, He F, Xu P. Systematic Analyses of the Transcriptome, Translatome, and Proteome Provide a Global View and Potential Strategy for the C-HPP. J Proteome Res 2013; 13:38-49. [PMID: 24256510 DOI: 10.1021/pr4009018] [Citation(s) in RCA: 54] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Affiliation(s)
- Cheng Chang
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Engineering Research Center for Protein Drugs, National Center for
Protein Sciences, Beijing Institute of Radiation Medicine, 27 Taiping
Road, Beijing 102206, P. R. China
| | - Liwei Li
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Engineering Research Center for Protein Drugs, National Center for
Protein Sciences, Beijing Institute of Radiation Medicine, 27 Taiping
Road, Beijing 102206, P. R. China
| | - Chengpu Zhang
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Engineering Research Center for Protein Drugs, National Center for
Protein Sciences, Beijing Institute of Radiation Medicine, 27 Taiping
Road, Beijing 102206, P. R. China
| | - Songfeng Wu
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Engineering Research Center for Protein Drugs, National Center for
Protein Sciences, Beijing Institute of Radiation Medicine, 27 Taiping
Road, Beijing 102206, P. R. China
| | - Kun Guo
- Institutes
of Biomedical Sciences, Department of Chemistry and Zhongshan Hospital, Fudan University, 130 DongAn Road, Shanghai 200032, China
| | - Jin Zi
- BGI-Shenzhen, Beishan Road, Yantian District, Shenzhen 518083, China
| | - Zhipeng Chen
- Key
Laboratory of Functional Protein Research of Guangdong Higher Education
Institutes, Institute of Life and Health Engineering, College of Life
Science and Technology, Jinan University, 601 Huangpu Avenue West, Guangzhou 510632, China
| | - Jing Jiang
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Engineering Research Center for Protein Drugs, National Center for
Protein Sciences, Beijing Institute of Radiation Medicine, 27 Taiping
Road, Beijing 102206, P. R. China
| | - Jie Ma
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Engineering Research Center for Protein Drugs, National Center for
Protein Sciences, Beijing Institute of Radiation Medicine, 27 Taiping
Road, Beijing 102206, P. R. China
| | - Qing Yu
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Engineering Research Center for Protein Drugs, National Center for
Protein Sciences, Beijing Institute of Radiation Medicine, 27 Taiping
Road, Beijing 102206, P. R. China
| | - Fengxu Fan
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Engineering Research Center for Protein Drugs, National Center for
Protein Sciences, Beijing Institute of Radiation Medicine, 27 Taiping
Road, Beijing 102206, P. R. China
| | - Peibin Qin
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Engineering Research Center for Protein Drugs, National Center for
Protein Sciences, Beijing Institute of Radiation Medicine, 27 Taiping
Road, Beijing 102206, P. R. China
| | - Mingfei Han
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Engineering Research Center for Protein Drugs, National Center for
Protein Sciences, Beijing Institute of Radiation Medicine, 27 Taiping
Road, Beijing 102206, P. R. China
| | - Na Su
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Engineering Research Center for Protein Drugs, National Center for
Protein Sciences, Beijing Institute of Radiation Medicine, 27 Taiping
Road, Beijing 102206, P. R. China
| | - Tao Chen
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Engineering Research Center for Protein Drugs, National Center for
Protein Sciences, Beijing Institute of Radiation Medicine, 27 Taiping
Road, Beijing 102206, P. R. China
| | - Kang Wang
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Engineering Research Center for Protein Drugs, National Center for
Protein Sciences, Beijing Institute of Radiation Medicine, 27 Taiping
Road, Beijing 102206, P. R. China
| | - Linhui Zhai
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Engineering Research Center for Protein Drugs, National Center for
Protein Sciences, Beijing Institute of Radiation Medicine, 27 Taiping
Road, Beijing 102206, P. R. China
| | - Tao Zhang
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Engineering Research Center for Protein Drugs, National Center for
Protein Sciences, Beijing Institute of Radiation Medicine, 27 Taiping
Road, Beijing 102206, P. R. China
| | - Wantao Ying
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Engineering Research Center for Protein Drugs, National Center for
Protein Sciences, Beijing Institute of Radiation Medicine, 27 Taiping
Road, Beijing 102206, P. R. China
| | - Zhongwei Xu
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Engineering Research Center for Protein Drugs, National Center for
Protein Sciences, Beijing Institute of Radiation Medicine, 27 Taiping
Road, Beijing 102206, P. R. China
| | - Yang Zhang
- Institutes
of Biomedical Sciences, Department of Chemistry and Zhongshan Hospital, Fudan University, 130 DongAn Road, Shanghai 200032, China
| | - Yinkun Liu
- Institutes
of Biomedical Sciences, Department of Chemistry and Zhongshan Hospital, Fudan University, 130 DongAn Road, Shanghai 200032, China
| | - Xiaohui Liu
- Institutes
of Biomedical Sciences, Department of Chemistry and Zhongshan Hospital, Fudan University, 130 DongAn Road, Shanghai 200032, China
| | - Fan Zhong
- Institutes
of Biomedical Sciences, Department of Chemistry and Zhongshan Hospital, Fudan University, 130 DongAn Road, Shanghai 200032, China
| | - Huali Shen
- Institutes
of Biomedical Sciences, Department of Chemistry and Zhongshan Hospital, Fudan University, 130 DongAn Road, Shanghai 200032, China
| | - Quanhui Wang
- BGI-Shenzhen, Beishan Road, Yantian District, Shenzhen 518083, China
- Beijing Institute of Genomics, CAS, No.1 BeiChen West Road, Beijing 100101, China
| | - Guixue Hou
- BGI-Shenzhen, Beishan Road, Yantian District, Shenzhen 518083, China
- Beijing Institute of Genomics, CAS, No.1 BeiChen West Road, Beijing 100101, China
| | - Haiyi Zhao
- BGI-Shenzhen, Beishan Road, Yantian District, Shenzhen 518083, China
| | - Guilin Li
- BGI-Shenzhen, Beishan Road, Yantian District, Shenzhen 518083, China
| | - Siqi Liu
- BGI-Shenzhen, Beishan Road, Yantian District, Shenzhen 518083, China
- Beijing Institute of Genomics, CAS, No.1 BeiChen West Road, Beijing 100101, China
| | - Wei Gu
- Key
Laboratory of Functional Protein Research of Guangdong Higher Education
Institutes, Institute of Life and Health Engineering, College of Life
Science and Technology, Jinan University, 601 Huangpu Avenue West, Guangzhou 510632, China
| | - Guibin Wang
- Key
Laboratory of Functional Protein Research of Guangdong Higher Education
Institutes, Institute of Life and Health Engineering, College of Life
Science and Technology, Jinan University, 601 Huangpu Avenue West, Guangzhou 510632, China
| | - Tong Wang
- Key
Laboratory of Functional Protein Research of Guangdong Higher Education
Institutes, Institute of Life and Health Engineering, College of Life
Science and Technology, Jinan University, 601 Huangpu Avenue West, Guangzhou 510632, China
| | - Gong Zhang
- Key
Laboratory of Functional Protein Research of Guangdong Higher Education
Institutes, Institute of Life and Health Engineering, College of Life
Science and Technology, Jinan University, 601 Huangpu Avenue West, Guangzhou 510632, China
| | - Xiaohong Qian
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Engineering Research Center for Protein Drugs, National Center for
Protein Sciences, Beijing Institute of Radiation Medicine, 27 Taiping
Road, Beijing 102206, P. R. China
| | - Ning Li
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Engineering Research Center for Protein Drugs, National Center for
Protein Sciences, Beijing Institute of Radiation Medicine, 27 Taiping
Road, Beijing 102206, P. R. China
| | - Qing-Yu He
- Key
Laboratory of Functional Protein Research of Guangdong Higher Education
Institutes, Institute of Life and Health Engineering, College of Life
Science and Technology, Jinan University, 601 Huangpu Avenue West, Guangzhou 510632, China
| | - Liang Lin
- BGI-Shenzhen, Beishan Road, Yantian District, Shenzhen 518083, China
| | - Pengyuan Yang
- Institutes
of Biomedical Sciences, Department of Chemistry and Zhongshan Hospital, Fudan University, 130 DongAn Road, Shanghai 200032, China
| | - Yunping Zhu
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Engineering Research Center for Protein Drugs, National Center for
Protein Sciences, Beijing Institute of Radiation Medicine, 27 Taiping
Road, Beijing 102206, P. R. China
| | - Fuchu He
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Engineering Research Center for Protein Drugs, National Center for
Protein Sciences, Beijing Institute of Radiation Medicine, 27 Taiping
Road, Beijing 102206, P. R. China
| | - Ping Xu
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Engineering Research Center for Protein Drugs, National Center for
Protein Sciences, Beijing Institute of Radiation Medicine, 27 Taiping
Road, Beijing 102206, P. R. China
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50
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Zhang C, Li N, Zhai L, Xu S, Liu X, Cui Y, Ma J, Han M, Jiang J, Yang C, Fan F, Li L, Qin P, Yu Q, Chang C, Su N, Zheng J, Zhang T, Wen B, Zhou R, Lin L, Lin Z, Zhou B, Zhang Y, Yan G, Liu Y, Yang P, Guo K, Gu W, Chen Y, Zhang G, He QY, Wu S, Wang T, Shen H, Wang Q, Zhu Y, He F, Xu P. Systematic analysis of missing proteins provides clues to help define all of the protein-coding genes on human chromosome 1. J Proteome Res 2013; 13:114-25. [PMID: 24256544 DOI: 10.1021/pr400900j] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Our first proteomic exploration of human chromosome 1 began in 2012 (CCPD 1.0), and the genome-wide characterization of the human proteome through public resources revealed that 32-39% of proteins on chromosome 1 remain unidentified. To characterize all of the missing proteins, we applied an OMICS-integrated analysis of three human liver cell lines (Hep3B, MHCC97H, and HCCLM3) using mRNA and ribosome nascent-chain complex-bound mRNA deep sequencing and proteome profiling, contributing mass spectrometric evidence of 60 additional chromosome 1 gene products. Integration of the annotation information from public databases revealed that 84.6% of genes on chromosome 1 had high-confidence protein evidence. Hierarchical analysis demonstrated that the remaining 320 missing genes were either experimentally or biologically explainable; 128 genes were found to be tissue-specific or rarely expressed in some tissues, whereas 91 proteins were uncharacterized mainly due to database annotation diversity, 89 were genes with low mRNA abundance or unsuitable protein properties, and 12 genes were identifiable theoretically because of a high abundance of mRNAs/RNC-mRNAs and the existence of proteotypic peptides. The relatively large contribution made by the identification of enriched transcription factors suggested specific enrichment of low-abundance protein classes, and SRM/MRM could capture high-priority missing proteins. Detailed analyses of the differentially expressed genes indicated that several gene families located on chromosome 1 may play critical roles in mediating hepatocellular carcinoma invasion and metastasis. All mass spectrometry proteomics data corresponding to our study were deposited in the ProteomeXchange under the identifiers PXD000529, PXD000533, and PXD000535.
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Affiliation(s)
- Chengpu Zhang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Engineering Research Center for Protein Drugs, National Center for Protein Sciences, Beijing Institute of Radiation Medicine , 27 Taiping Road, Beijing 102206, P. R. China
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