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Stykel MG, Ryan SD. Network analysis of S-nitrosylated synaptic proteins demonstrates unique roles in health and disease. BIOCHIMICA ET BIOPHYSICA ACTA. MOLECULAR CELL RESEARCH 2024; 1871:119720. [PMID: 38582237 DOI: 10.1016/j.bbamcr.2024.119720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 03/24/2024] [Accepted: 03/27/2024] [Indexed: 04/08/2024]
Abstract
Nitric oxide can covalently modify cysteine thiols on target proteins to alter that protein's function in a process called S-nitrosylation (SNO). S-nitrosylation of synaptic proteins plays an integral part in neurotransmission. Here we review the function of the SNO-proteome at the synapse and whether clusters of SNO-modification may predict synaptic dysfunction associated with disease. We used a systematic search strategy to concatenate SNO-proteomic datasets from normal human or murine brain samples. Identified SNO-modified proteins were then filtered against proteins reported in the Synaptome Database, which provides a detailed and experimentally verified annotation of all known synaptic proteins. Subsequently, we performed an unbiased network analysis of all known SNO-synaptic proteins to identify clusters of SNO proteins commonly involved in biological processes or with known disease associations. The resulting SNO networks were significantly enriched in biological processes related to metabolism, whereas significant gene-disease associations were related to Schizophrenia, Alzheimer's, Parkinson's and Huntington's disease. Guided by an unbiased network analysis, the current review presents a thorough discussion of how clustered changes to the SNO-proteome influence health and disease.
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Affiliation(s)
- Morgan G Stykel
- Department of Molecular and Cellular Biology, The University of Guelph, Guelph, ON, Canada
| | - Scott D Ryan
- Department of Molecular and Cellular Biology, The University of Guelph, Guelph, ON, Canada; Hotchkiss Brain Institute, Department of Clinical Neuroscience, University of Calgary, Calgary, AB, Canada.
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2
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Shi Q, Chen C, Xiao K, Zhou W, Gao C, Gao L, Han J, Wang J, Dong X. Extensive Disturbances of Intracellular Components and Dysfunctions of Biological Pathways in the Brain Tissues During Prion Infection - China's Studies. China CDC Wkly 2022; 4:741-747. [PMID: 36285114 PMCID: PMC9547740 DOI: 10.46234/ccdcw2022.154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 08/08/2022] [Indexed: 11/14/2022] Open
Abstract
The study describes some of the major findings of changes in intracellular components and biological pathways in the brain during prion infection and hypothesizes some important physiological and pathological approaches mainly based on our studies. Omics techniques analysis of messenger RNA (mRNA) and proteins were carried out in the study. Meanwhile, Western blot, immunohistochemistry, and immunofluorescence were used for protein analysis in different signaling pathways. Statistical analyses were used to describe the protein differences in signaling pathways of infected and normal samples. This report reviewed and summarized our studies on the aberrant changes in intracellular components and biological functions in the brains of prion disease (PrD). Omics analyses proposed extensive abnormal alterations of brain mRNAs transcriptions, protein expressions, and post-translational modifications. The molecular disturbances for microtubule instability and depolymerization, the dysregulations of different signals related with neuron loss and synaptic plasticity, the abnormalities of mitochondrial and endoplasmic reticulum stress, and disturbance of intracellular reactive oxygen species homeostasis during prion infection were precisely analyzed and reviewed. Aberrant disturbances of numerous biological molecules and signals in brain tissues were found during prion infection.
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Affiliation(s)
- Qi Shi
- State Key Laboratory for Infectious Disease Prevention and Control, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China,China Academy of Chinese Medical Sciences, Beijing, China
| | - Cao Chen
- State Key Laboratory for Infectious Disease Prevention and Control, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China,Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan City, Hubei Province, China
| | - Kang Xiao
- State Key Laboratory for Infectious Disease Prevention and Control, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Wei Zhou
- State Key Laboratory for Infectious Disease Prevention and Control, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Chen Gao
- State Key Laboratory for Infectious Disease Prevention and Control, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Liping Gao
- State Key Laboratory for Infectious Disease Prevention and Control, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jun Han
- State Key Laboratory for Infectious Disease Prevention and Control, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jichun Wang
- State Key Laboratory for Infectious Disease Prevention and Control, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China,Division of Science and Technology, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiaoping Dong
- State Key Laboratory for Infectious Disease Prevention and Control, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China,China Academy of Chinese Medical Sciences, Beijing, China,Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan City, Hubei Province, China,Shanghai Institute of Infectious Disease and Biosafety, Shanghai, China,Xiaoping Dong,
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3
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Pham TK, Buczek WA, Mead RJ, Shaw PJ, Collins MO. Proteomic Approaches to Study Cysteine Oxidation: Applications in Neurodegenerative Diseases. Front Mol Neurosci 2021; 14:678837. [PMID: 34177463 PMCID: PMC8219902 DOI: 10.3389/fnmol.2021.678837] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Accepted: 05/03/2021] [Indexed: 11/15/2022] Open
Abstract
Oxidative stress appears to be a key feature of many neurodegenerative diseases either as a cause or consequence of disease. A range of molecules are subject to oxidation, but in particular, proteins are an important target and measure of oxidative stress. Proteins are subject to a range of oxidative modifications at reactive cysteine residues, and depending on the level of oxidative stress, these modifications may be reversible or irreversible. A range of experimental approaches has been developed to characterize cysteine oxidation of proteins. In particular, mass spectrometry-based proteomic methods have emerged as a powerful means to identify and quantify cysteine oxidation sites on a proteome scale; however, their application to study neurodegenerative diseases is limited to date. Here we provide a guide to these approaches and highlight the under-exploited utility of these methods to measure oxidative stress in neurodegenerative diseases for biomarker discovery, target engagement and to understand disease mechanisms.
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Affiliation(s)
- Trong Khoa Pham
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, United Kingdom
- Department of Biomedical Science, University of Sheffield, Sheffield, United Kingdom
| | - Weronika A. Buczek
- Department of Biomedical Science, University of Sheffield, Sheffield, United Kingdom
| | - Richard J. Mead
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, United Kingdom
| | - Pamela J. Shaw
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, United Kingdom
| | - Mark O. Collins
- Department of Biomedical Science, University of Sheffield, Sheffield, United Kingdom
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4
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The challenge of detecting modifications on proteins. Essays Biochem 2020; 64:135-153. [PMID: 31957791 DOI: 10.1042/ebc20190055] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Revised: 12/17/2019] [Accepted: 12/19/2019] [Indexed: 12/16/2022]
Abstract
Post-translational modifications (PTMs) are integral to the regulation of protein function, characterising their role in this process is vital to understanding how cells work in both healthy and diseased states. Mass spectrometry (MS) facilitates the mass determination and sequencing of peptides, and thereby also the detection of site-specific PTMs. However, numerous challenges in this field continue to persist. The diverse chemical properties, low abundance, labile nature and instability of many PTMs, in combination with the more practical issues of compatibility with MS and bioinformatics challenges, contribute to the arduous nature of their analysis. In this review, we present an overview of the established MS-based approaches for analysing PTMs and the common complications associated with their investigation, including examples of specific challenges focusing on phosphorylation, lysine acetylation and redox modifications.
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Shi Q, Wu YZ, Yang X, Xiao K, Maimaitiming A, Gao LP, Chen C, Gao C, Guo Y, Dong XP. Significant enhanced expressions of aquaporin-1, -4 and -9 in the brains of various prion diseases. Prion 2020; 13:173-184. [PMID: 31814527 PMCID: PMC6746548 DOI: 10.1080/19336896.2019.1660487] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Aquaporins (AQPs) are widely expressed in various types of tissues, among them AQP1, AQP4 and AQP9 are expressed predominately with relatively special distributing features in various brain regions. The aberrant changes of AQP1 and AQP4 have been observed in the brains of Alzheimer disease (AD). To evaluate the underlying alteration of brain AQPs in prion diseases, scrapie strains of 139A, ME7 and S15 infected mice were tested in this study. Western blots revealed markedly increased levels of AQP1, AQP4 and AQP9 in the brain tissues of all tested scrapie-infected mice collected at terminal stage. Analyses of the AQPs levels in the brain tissues collected at different time-points during incubation period showed time-dependent increased in 139A and ME7-infected mice, especially at the middle-late stage. The AQP1 levels also increased in the cortex regions of some human prion diseases, including the patients with sporadic Creutzfeldt-Jakob disease (CJD), fatal familial insomnia (FFI) and G114V genetic CJD (gCJD). Immunohistochemistry (IHC) assays verified that the AQPs-positive cells were astrocyte-like morphologically; meanwhile, numerous various sizes of AQPs-positive particles and dots were also observable in the brain sections of scrapie-infected mice. Immunofluorescent assays (IFAs) illustrated that the signals of AQPs colocalized with those of the GFAP positive proliferative astrocytes, and more interestingly, appeared to overlap also with the signals of PrP in the brains of scrapie-infected mice. Moreover, IHC assays with a commercial doublestain system revealed that distributing areas of AQPs overlapped not only with that of the activated large astrocytes, but also with that of abundantly deposited PrPSc in the brain tissues of scrapie murine models. Our data here propose the solid evidences that the expressions of brain AQP1, AQP4 and AQP9 are all aberrantly enhanced in various murine models of scrapie infection. The closely anatomical association between the accumulated AQPs and deposited PrPSc in the brain tissues indicates that the abnormally increased water channel proteins participate in the pathogenesis of prion diseases.
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Affiliation(s)
- Qi Shi
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yue-Zhang Wu
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xuehua Yang
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Kang Xiao
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Adalaiti Maimaitiming
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Li-Ping Gao
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Cao Chen
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Chen Gao
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yanjun Guo
- Department of Neurology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Xiao-Ping Dong
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.,Center for Global Public Health, Chinese Center for Disease Control and Prevention, Beijing, China
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6
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Xu X, Qiu H, Shi F, Wang Z, Wang X, Jin L, Chi L, Zhang Q. The protein S-nitrosylation of splicing and translational machinery in vascular endothelial cells is susceptible to oxidative stress induced by oxidized low-density lipoprotein. J Proteomics 2019; 195:11-22. [PMID: 30630120 DOI: 10.1016/j.jprot.2019.01.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2018] [Revised: 12/18/2018] [Accepted: 01/05/2019] [Indexed: 12/24/2022]
Abstract
Oxidized low-density lipoprotein (ox-LDL) can impair endothelial function and lead to the atherosclerosis development. Protein S-nitrosylation is sensitive to cellular redox state and acts as a crucial regulator and executor of nitric oxide (NO) signaling pathways. Aberrant S-nitrosylation contributes to the pathogenesis of cardiovascular and cerebrovascular diseases. However, the effect of ox-LDL on S-nitrosylation and its significance for endothelial dysfunction have not been studied at proteome level. Herein, the combined quantitative analysis of proteome and S-nitrosoproteome was performed using an integrated biotin switch and iTRAQ labeling approach in EA.hy926 cell line derived from human umbilical vein endothelial cell (HUVEC) treated with ox-LDL. A total of 2204 S-nitrosylated (SNO) peptides of 1318 SNO-proteins were quantified. Notably, 352 SNO-peptides of 262 SNO-proteins were significantly regulated after excluding S-nitrosylation changes caused by protein expression alterations. Many of them belonged to mRNA splicing, ribosomal structure and translational regulatory proteins, covering the entire translation process. The results indicated that S-nitrosylation of the splicing and translational machinery in vascular endothelial cells was susceptible to ox-LDL. Abnormal protein S-nitrosylation may be one pivotal mechanism underlying endothelial dysfunction induced by ox-LDL. This study potentially enriches the present understanding of pro-atherogenic effect of ox-LDL from the perspective of S-nitrosylation. SIGNIFICANCE: The role of ox-LDL in endothelial dysfunction and atherosclerosis development has been recognized from the aspect of impaired NO production. However, its effect on S-nitrosylation, which is directly related to NO signaling pathway, still remains largely unexplored. Our work initially provided a systematic characterization of S-nitrosoproteome in ox-LDL-treated endothelial cells after ruling out the changes of S-nitrosylation modification caused by protein expression alone. MS-based approach coupled with iTRAQ technique indicated 262 SNO-proteins were significantly regulated. Functional enrichment and interaction network analysis revealed that proteins involved in mRNA splicing and translational machinery were susceptible to abnormal S-nitrosylation under ox-LDL treatment. This achievement suggested one potential mechanism underlying endothelial dysfunction induced by ox-LDL from the perspective of S-nitrosoproteome.
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Affiliation(s)
- Xiaohui Xu
- National Glycoengineering Research Center, The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Qilu Hospital, Shandong University, Jinan, Shandong 250021, China
| | - Hongyan Qiu
- National Glycoengineering Research Center, The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Qilu Hospital, Shandong University, Jinan, Shandong 250021, China
| | - Feng Shi
- Scientific Research Division, Shandong Institute for Food and Drug Control, Jinan, Shandong 250101, China
| | - Zhe Wang
- Division of Endocrinology and Metabolism, Provincial Hospital affiliated with Shandong University, Jinan, Shandong 250021, China
| | - Xiaowei Wang
- National Glycoengineering Research Center, The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Qilu Hospital, Shandong University, Jinan, Shandong 250021, China
| | - Lan Jin
- National Glycoengineering Research Center, The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Qilu Hospital, Shandong University, Jinan, Shandong 250021, China
| | - Lianli Chi
- National Glycoengineering Research Center, The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Qilu Hospital, Shandong University, Jinan, Shandong 250021, China.
| | - Qunye Zhang
- National Glycoengineering Research Center, The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Qilu Hospital, Shandong University, Jinan, Shandong 250021, China.
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7
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Bourgognon JM, Spiers JG, Scheiblich H, Antonov A, Bradley SJ, Tobin AB, Steinert JR. Alterations in neuronal metabolism contribute to the pathogenesis of prion disease. Cell Death Differ 2018; 25:1408-1425. [PMID: 29915278 DOI: 10.1038/s41418-018-0148-x] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2018] [Revised: 05/14/2018] [Accepted: 06/04/2018] [Indexed: 02/07/2023] Open
Abstract
Neurodegenerative conditions are characterised by a progressive loss of neurons, which is believed to be initiated by misfolded protein aggregations. During this time period, many physiological and metabolomic alterations and changes in gene expression contribute to the decline in neuronal function. However, these pathological effects have not been fully characterised. In this study, we utilised a metabolomic approach to investigate the metabolic changes occurring in the hippocampus and cortex of mice infected with misfolded prion protein. In order to identify these changes, the samples were analysed by ultrahigh-performance liquid chromatography-tandem mass spectroscopy. The present dataset comprises a total of 498 compounds of known identity, named biochemicals, which have undergone principal component analysis and supervised machine learning. The results generated are consistent with the prion-inoculated mice having significantly altered metabolic profiles. In particular, we highlight the alterations associated with the metabolism of glucose, neuropeptides, fatty acids, L-arginine/nitric oxide and prostaglandins, all of which undergo significant changes during the disease. These data provide possibilities for future studies targeting and investigating specific pathways to better understand the processes involved in neuronal dysfunction in neurodegenerative diseases.
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Affiliation(s)
| | - Jereme G Spiers
- MRC Toxicology Unit, University of Leicester, Lancaster Road, Leicester, LE1 9HN, UK
| | - Hannah Scheiblich
- MRC Toxicology Unit, University of Leicester, Lancaster Road, Leicester, LE1 9HN, UK
| | - Alexey Antonov
- MRC Toxicology Unit, University of Leicester, Lancaster Road, Leicester, LE1 9HN, UK
| | - Sophie J Bradley
- Centre for Translational Pharmacology, Institute of Molecular, Cell and Systems Biology, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, Scotland, G12 8QQ, UK
| | - Andrew B Tobin
- Centre for Translational Pharmacology, Institute of Molecular, Cell and Systems Biology, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, Scotland, G12 8QQ, UK
| | - Joern R Steinert
- MRC Toxicology Unit, University of Leicester, Lancaster Road, Leicester, LE1 9HN, UK.
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IonStar enables high-precision, low-missing-data proteomics quantification in large biological cohorts. Proc Natl Acad Sci U S A 2018; 115:E4767-E4776. [PMID: 29743190 DOI: 10.1073/pnas.1800541115] [Citation(s) in RCA: 56] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Reproducible quantification of large biological cohorts is critical for clinical/pharmaceutical proteomics yet remains challenging because most prevalent methods suffer from drastically declined commonly quantified proteins and substantially deteriorated quantitative quality as cohort size expands. MS2-based data-independent acquisition approaches represent tremendous advancements in reproducible protein measurement, but often with limited depth. We developed IonStar, an MS1-based quantitative approach enabling in-depth, high-quality quantification of large cohorts by combining efficient/reproducible experimental procedures with unique data-processing components, such as efficient 3D chromatographic alignment, sensitive and selective direct ion current extraction, and stringent postfeature generation quality control. Compared with several popular label-free methods, IonStar exhibited far lower missing data (0.1%), superior quantitative accuracy/precision [∼5% intragroup coefficient of variation (CV)], the widest protein abundance range, and the highest sensitivity/specificity for identifying protein changes (<5% false altered-protein discovery) in a benchmark sample set (n = 20). We demonstrated the usage of IonStar by a large-scale investigation of traumatic injuries and pharmacological treatments in rat brains (n = 100), quantifying >7,000 unique protein groups (>99.8% without missing data across the 100 samples) with a low false discovery rate (FDR), two or more unique peptides per protein, and high quantitative precision. IonStar represents a reliable and robust solution for precise and reproducible protein measurement in large cohorts.
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Ouyang F, Zhao Z, Gao R, Shi R, Wu E, Lv R, Xu G, Liu J. Dual Maleimide Tagging for Relative and Absolute Quantitation of Cysteine-Containing Peptides by MALDI-TOF MS. Chembiochem 2018; 19:1154-1161. [PMID: 29542852 DOI: 10.1002/cbic.201800031] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2018] [Indexed: 12/18/2022]
Abstract
A dual maleimide (DuMal) tagging method has been developed for both relative and absolute quantitation of cysteine-containing peptides (CCPs) in combination with MALDI-TOF mass spectrometry. A pair of maleimides with minimal differences in their chemical structures, N-methylmaleimide and Nethylmaleimide, have been chosen to allow for the rapid (≈minutes) tagging of CCPs in the Michael addition reaction with high efficiency. It has been validated that the DuMal tagging technique is sensitive and reliable in the quantitative analysis of CCPs. Absolute quantitation of CCPs can be achieved with a detection limit as low as 7.3 nm. Relative quantitation of CCPs can be performed in various sample mixtures with consistent results (coefficient of variation <5 %). The DuMal tagging technique provides a sensitive and accurate approach for the quantitation of biomolecules containing thiol reactive sites; thus it is promising for protein detection, disease diagnosis, and biomarker discovery associated with post-translational modifications of cysteines.
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Affiliation(s)
- Fuzhong Ouyang
- Institute of Functional Nano and Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials and Devices, Soochow University, Suzhou, Jiangsu Province, 215123, P.R. China
| | - Zhihao Zhao
- Institute of Functional Nano and Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials and Devices, Soochow University, Suzhou, Jiangsu Province, 215123, P.R. China
| | - Ruifang Gao
- Institute of Functional Nano and Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials and Devices, Soochow University, Suzhou, Jiangsu Province, 215123, P.R. China
| | - Rui Shi
- Institute of Functional Nano and Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials and Devices, Soochow University, Suzhou, Jiangsu Province, 215123, P.R. China
| | - Enhui Wu
- Institute of Functional Nano and Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials and Devices, Soochow University, Suzhou, Jiangsu Province, 215123, P.R. China
| | - Rui Lv
- Institute of Functional Nano and Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials and Devices, Soochow University, Suzhou, Jiangsu Province, 215123, P.R. China
| | - Guoqiang Xu
- Jiangsu Key Laboratory of Translational Research, and Therapy for Neuro-Psycho-Diseases, College of Pharmaceutical Sciences, Soochow University, Suzhou, Jiangsu Province, 215123, P.R. China
| | - Jian Liu
- Institute of Functional Nano and Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials and Devices, Soochow University, Suzhou, Jiangsu Province, 215123, P.R. China
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10
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Zhang RQ, Chen C, Xiao LJ, Sun J, Ma Y, Yang XD, Xu XF, Xiao K, Shi Q, Chen ZB, Dong XP. Aberrant alterations of the expressions and S-nitrosylation of calmodulin and the downstream factors in the brains of the rodents during scrapie infection. Prion 2018; 11:352-367. [PMID: 28968141 DOI: 10.1080/19336896.2017.1367082] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
The aberrant alterations of calmodulin (CaM) and its downstream substrates have been reported in some neurodegenerative diseases, but rarely described in prion disease. In this study, the potential changes of Ca2+/CaM and its associated agents in the brains of scrapie agent 263K-infected hamsters and the prion infected cell line SMB-S15 were evaluated by various methodologies. We found that the level of CaM in the brains of 263K-infected hamsters started to increase at early stage and maintained at high level till terminal stage. The increased CaM mainly accumulated in the regions of cortex, thalamus and cerebellum of 263K-infected hamsters and well localization of CaM with NeuN positive cells. However, the related kinases such as total and phosphorylated forms of CaMKII and CaMKIV, as well as the downstream proteins such as CREB and BDNF in the brain of 263K-infected hamsters were decreased. Further analysis showed a remarkable increase of S-nitrosylated (SNO) form of CaM in the brains of 263K-infected hamsters. Dynamic analysis of S-nitrosylated CaM showed the SNO form of CaM abnormally increases in a time-dependent manner during prion infection. Compared with that of the normal partner cell line SMB-PS, the CaM level in SMB-S15 cells was increased, meanwhile, the downstream proteins, such as CaMKII, p-CaMKII, CREB, as well as BDNF, were also increased, especially in the nucleic fraction. No SNO-CaM was detected in the cell lines SMB-S15 and SMB-PS. Our data indicate an aberrant increase of CaM during prion infection in vivo and in vitro.
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Affiliation(s)
- Ren-Qing Zhang
- a College of Life Science and Technology , Heilongjiang Bayi Agricultural University , Daqing , People's Republic of China.,b State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention , Beijing , People's Republic of China
| | - Cao Chen
- b State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention , Beijing , People's Republic of China
| | - Li-Jie Xiao
- a College of Life Science and Technology , Heilongjiang Bayi Agricultural University , Daqing , People's Republic of China
| | - Jing Sun
- b State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention , Beijing , People's Republic of China
| | - Yue Ma
- b State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention , Beijing , People's Republic of China
| | - Xiao-Dong Yang
- b State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention , Beijing , People's Republic of China
| | - Xiao-Feng Xu
- b State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention , Beijing , People's Republic of China
| | - Kang Xiao
- b State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention , Beijing , People's Republic of China
| | - Qi Shi
- b State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention , Beijing , People's Republic of China
| | - Zhi-Bao Chen
- a College of Life Science and Technology , Heilongjiang Bayi Agricultural University , Daqing , People's Republic of China
| | - Xiao-Ping Dong
- b State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention , Beijing , People's Republic of China
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11
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Cagnone M, Bardoni A, Iadarola P, Viglio S. Could Proteomics Become a Future Useful Tool to Shed Light on the Mechanisms of Rare Neurodegenerative Disorders? High Throughput 2018; 7:ht7010002. [PMID: 29485613 PMCID: PMC5876528 DOI: 10.3390/ht7010002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2017] [Revised: 12/19/2017] [Accepted: 01/05/2018] [Indexed: 12/20/2022] Open
Abstract
Very often the clinical features of rare neurodegenerative disorders overlap with those of other, more common clinical disturbances. As a consequence, not only the true incidence of these disorders is underestimated, but many patients also experience a significant delay before a definitive diagnosis. Under this scenario, it appears clear that any accurate tool producing information about the pathological mechanisms of these disorders would offer a novel context for their precise identification by strongly enhancing the interpretation of symptoms. With the advent of proteomics, detection and identification of proteins in different organs/tissues, aimed at understanding whether they represent an attractive tool for monitoring alterations in these districts, has become an area of increasing interest. The aim of this report is to provide an overview of the most recent applications of proteomics as a new strategy for identifying biomarkers with a clinical utility for the investigation of rare neurodegenerative disorders.
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Affiliation(s)
- Maddalena Cagnone
- Department of Molecular Medicine, Biochemistry Unit, University of Pavia, 27100 Pavia, Italy.
| | - Anna Bardoni
- Department of Molecular Medicine, Biochemistry Unit, University of Pavia, 27100 Pavia, Italy.
| | - Paolo Iadarola
- Department of Biology and Biotechnologies "L. Spallanzani", Biochemistry Unit, University of Pavia, 27100 Pavia, Italy.
| | - Simona Viglio
- Department of Molecular Medicine, Biochemistry Unit, University of Pavia, 27100 Pavia, Italy.
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12
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Yang XD, Shi Q, Sun J, Lv Y, Ma Y, Chen C, Xiao K, Zhou W, Dong XP. Aberrant Alterations of Mitochondrial Factors Drp1 and Opa1 in the Brains of Scrapie Experiment Rodents. J Mol Neurosci 2016; 61:368-378. [PMID: 27921253 DOI: 10.1007/s12031-016-0866-9] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2016] [Accepted: 11/21/2016] [Indexed: 12/25/2022]
Abstract
The abnormal mitochondrial dynamics has been reported in the brains of some neurodegenerative diseases, such as Alzheimer's disease (AD) and Parkinson's disease (PD), but limitedly described in prion disease. Dynamin-related protein 1 (Drpl) and optic atrophy protein 1 (Opa1) are two essential elements for mitochondria fission and fusion. To evaluate possible changes of mitochondria dynamics during prion infection, the situations of brain Drp1 and Opa1 of scrapie strains 139A, ME7, and S15 mice, as well as 263K-infected hamsters, were analyzed. Significant decreases of brain Drp1 were observed in scrapie-infected rodents at terminal stage by Western blots and immunohistochemical assays, while the levels of Opa1 also showed declined tendency in the brains of scrapie-infected rodents. Immunofluorescent assays illustrated well localization of Drp1 or Opa1 within NeuN-positive cells. Moreover, the S-nitrosylated forms of Drp1significantly increased in the brain tissues of 139A- and ME7-infected mice at terminal stage. Dynamic analysis of Drp1 and SNO-Dpr1 in the brains collected at different time points within the incubation period of 139A-infected mice demonstrated that the whole Drp1 decreased at all tested samples, whereas the SNO-Drp1 remarkably increased in the sample of 90-day post-infection (dpi), reached to the peak in that of 120 dpi and dropped down but still maintained at higher level at the end of disease. The levels of apoptotic factors cleaved caspase 9, caspase 3, and Bax were also markedly increased in the brain tissues of the mice infected with agents 139A and ME7. Our data indicate a disorder of mitochondria dynamics in the brains of prion infection, largely depending on the abnormal alteration of brain Drp1.
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Affiliation(s)
- Xiao -Dong Yang
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center Diagnosis and Treatment of Infectious Diseases, Zhejiang University, Hangzhou, China.,Chinese Center for Disease Control and Prevention, National Institute for Viral Disease Control and Prevention, Chang-Bai Rd 155, Beijing, 102206, China
| | - Qi Shi
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center Diagnosis and Treatment of Infectious Diseases, Zhejiang University, Hangzhou, China. .,Chinese Center for Disease Control and Prevention, National Institute for Viral Disease Control and Prevention, Chang-Bai Rd 155, Beijing, 102206, China.
| | - Jing Sun
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center Diagnosis and Treatment of Infectious Diseases, Zhejiang University, Hangzhou, China.,Chinese Center for Disease Control and Prevention, National Institute for Viral Disease Control and Prevention, Chang-Bai Rd 155, Beijing, 102206, China
| | - Yan Lv
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center Diagnosis and Treatment of Infectious Diseases, Zhejiang University, Hangzhou, China.,Chinese Center for Disease Control and Prevention, National Institute for Viral Disease Control and Prevention, Chang-Bai Rd 155, Beijing, 102206, China
| | - Yue Ma
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center Diagnosis and Treatment of Infectious Diseases, Zhejiang University, Hangzhou, China.,Chinese Center for Disease Control and Prevention, National Institute for Viral Disease Control and Prevention, Chang-Bai Rd 155, Beijing, 102206, China
| | - Cao Chen
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center Diagnosis and Treatment of Infectious Diseases, Zhejiang University, Hangzhou, China.,Chinese Center for Disease Control and Prevention, National Institute for Viral Disease Control and Prevention, Chang-Bai Rd 155, Beijing, 102206, China
| | - Kang Xiao
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center Diagnosis and Treatment of Infectious Diseases, Zhejiang University, Hangzhou, China.,Chinese Center for Disease Control and Prevention, National Institute for Viral Disease Control and Prevention, Chang-Bai Rd 155, Beijing, 102206, China
| | - Wei Zhou
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center Diagnosis and Treatment of Infectious Diseases, Zhejiang University, Hangzhou, China.,Chinese Center for Disease Control and Prevention, National Institute for Viral Disease Control and Prevention, Chang-Bai Rd 155, Beijing, 102206, China
| | - Xiao-Ping Dong
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center Diagnosis and Treatment of Infectious Diseases, Zhejiang University, Hangzhou, China. .,Chinese Center for Disease Control and Prevention, National Institute for Viral Disease Control and Prevention, Chang-Bai Rd 155, Beijing, 102206, China. .,Chinese Academy of Sciences Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China.
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13
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Gu L, Robinson RAS. Proteomic approaches to quantify cysteine reversible modifications in aging and neurodegenerative diseases. Proteomics Clin Appl 2016; 10:1159-1177. [PMID: 27666938 DOI: 10.1002/prca.201600015] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2016] [Revised: 07/13/2016] [Accepted: 09/23/2016] [Indexed: 01/11/2023]
Abstract
Cysteine is a highly reactive amino acid and is subject to a variety of reversible post-translational modifications (PTMs), including nitrosylation, glutathionylation, palmitoylation, as well as formation of sulfenic acid and disulfides. These modifications are not only involved in normal biological activities, such as enzymatic catalysis, redox signaling, and cellular homeostasis, but can also be the result of oxidative damage. Especially in aging and neurodegenerative diseases, oxidative stress leads to aberrant cysteine oxidations that affect protein structure and function leading to neurodegeneration as well as other detrimental effects. Methods that can identify cysteine modifications by type, including the site of modification, as well as the relative stoichiometry of the modification can be very helpful for understanding the role of the thiol proteome and redox homeostasis in the context of disease. Cysteine reversible modifications however, are challenging to investigate as they are low abundant, diverse, and labile especially under endogenous conditions. Thanks to the development of redox proteomic approaches, large-scale quantification of cysteine reversible modifications is possible. These approaches cover a range of strategies to enrich, identify, and quantify cysteine reversible modifications from biological samples. This review will focus on nongel-based redox proteomics workflows that give quantitative information about cysteine PTMs and highlight how these strategies have been useful for investigating the redox thiol proteome in aging and neurodegenerative diseases.
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Affiliation(s)
- Liqing Gu
- Department of Chemistry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Renã A S Robinson
- Department of Chemistry, University of Pittsburgh, Pittsburgh, PA, USA
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14
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Proteome Analysis of Potential Synaptic Vesicle Cycle Biomarkers in the Cerebrospinal Fluid of Patients with Sporadic Creutzfeldt-Jakob Disease. Mol Neurobiol 2016; 54:5177-5191. [PMID: 27562179 DOI: 10.1007/s12035-016-0029-6] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2016] [Accepted: 08/01/2016] [Indexed: 01/01/2023]
Abstract
Sporadic Creutzfeldt-Jakob disease (sCJD) is the most frequent fatal human prion disease with a rapid progression and unknown mechanism. The synaptic vesicle (SV) cycle pathway has been a hot research field associated with many neurodegenerative diseases that affect synaptic function and thus may affect pathogenesis of the disorder. Here, we used the iTRAQ-based proteomic method and a KEGG pathway enrichment analysis to meticulously analyze all pathways involved in sCJD disease. In total, 1670 proteins were validated in pooled cerebrospinal fluid (CSF) from 20 patients with sCJD compared with that from 13 patients without CJD. The demographic analysis demonstrated that 557 proteins were upregulated and 595 proteins were downregulated with a 1.5-fold change, and 690 proteins involved in 39 pathways changed significantly (p ≤ 0.05) according to the enrichment analysis. The SV cycle pathway and proteins involved were further evaluated, and 14 proteins were confirmed to participate in the SV cycle pathway due to increased expression. Six key proteins, such as AP2A1, SYT1, SNAP25, STXBP1, CLTB, and Rab3a, showed the same trend by western blot as detected by iTRAQ. This is the first study to use high-throughput proteomics to accurately identify and quantify proteins in the SV cycle pathway of a neurodegenerative disease. These results will help define the mechanism and provide new insight into the pathogenetic factors involved in the SV cycle pathway in patients with sCJD. We hope that promising biomarkers can be identified in the CSF of patients with sCJD and other neurodegenerative disorders to help predict disease progression.
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15
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Increases of Galectin-1 and its S-nitrosylated form in the Brain Tissues of Scrapie-Infected Rodent Models and Human Prion Diseases. Mol Neurobiol 2016; 54:3707-3716. [PMID: 27211330 DOI: 10.1007/s12035-016-9923-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2016] [Accepted: 05/03/2016] [Indexed: 12/11/2022]
Abstract
Galectin-1 (Gal-1) shows neuroprotective activity in brain ischemia, spinal cord injury, and autoimmune neuroinflammation. To evaluate the Gal-1 situation in the brains of prion disease, the brain levels of Gal-1 in several scrapie-infected experimental rodent models were tested by Western blot, including agents 263K-infected hamsters, 139A-, ME7-, and S15-infected mice. Remarkable increases of brain Gal-1 were observed in all tested scrapie-infected rodents at the terminal stage. The brain levels of Gal-1 showed time-dependent increases along with the prolonging of incubation times. Immunohistochemical assays illustrated much stronger stainings in the brain sections of scrapie-infected rodents. Quantitative RT-PCR of Gal-1 gene demonstrated increased transcription in the brains of scrapie-infected mice. Gal-1 was colocalized with GFAP- and NeuN-positive cells, but not with Iba-1-positive cells in immunofluorescent test. Increases of Gal-1 were also detected in the several postmortem cortex regions of human prion diseases. Moreover, the S-nitrosylated forms of Gal-1 in the brains of scrapie-infected rodents were significantly higher than those of normal ones. Our finding here demonstrates markedly increased brain Gal-1 and S-nitrosylated Gal-1 both in scrapie-infected rodents and human prion diseases.
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16
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Chen LN, Sun J, Yang XD, Xiao K, Lv Y, Zhang BY, Zhou W, Chen C, Gao C, Shi Q, Dong XP. The Brain NO Levels and NOS Activities Ascended in the Early and Middle Stages and Descended in the Terminal Stage in Scrapie-Infected Animal Models. Mol Neurobiol 2016; 54:1786-1796. [PMID: 26887380 DOI: 10.1007/s12035-016-9755-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2015] [Accepted: 01/26/2016] [Indexed: 12/22/2022]
Abstract
The infections of prion agents may cause progressive and fatal neurodegenerative diseases in humans and a serial of animal species. Previous studies have proposed that the levels of nitric oxide (NO) and nitric oxide synthase (NOS) in the brains of some neurodegeneration diseases changed, while S-nitrosylation (SNO) of many brain proteins altered in prion diseases. To elucidate the potential changes of brain NO levels during prion infection, the NO levels and NOS activities in the brain tissues of three scrapie experimental rodents were measured, including scrapie agent 263 K-infected hamsters and 139A- and ME7-infected mice. Both NO levels and NOS activities, including total NOS (TNOS) and inducible NOS (iNOS), were increased at the terminal stages of scrapie-infected animals. Assays of the brain samples collected at different time points during scrapie infection showed that the NO levels and NOS activities started to increase at early stage, reached to the peak in the middle stage, and dropped down at late stage. Western blots for brain iNOS revealed increased firstly and decreased late, especially in the brains of 139A- and ME7-infected mice. In line with those alterations, the levels of the SNO forms of several selected brain proteins such as aquaporin-1 (AQP1), calcium/calmodulin-dependent protein kinase II (CaMKII), neurogranin, and opalin, underwent similar changing trends, while their total protein levels did not change obviously during scrapie infection. Our data here for the first time illustrate the changing profile of brain NO and NOS during prion infection. Time-dependent alterations of brain NO level and the associated protein S-nitrosylation process may contribute greatly to the neuropathological damage in prion diseases.
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Affiliation(s)
- Li-Na Chen
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University, Hangzhou), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Chang-Bai Rd 155, Beijing, 102206, People's Republic of China
| | - Jing Sun
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University, Hangzhou), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Chang-Bai Rd 155, Beijing, 102206, People's Republic of China
| | - Xiao-Dong Yang
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University, Hangzhou), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Chang-Bai Rd 155, Beijing, 102206, People's Republic of China
| | - Kang Xiao
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University, Hangzhou), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Chang-Bai Rd 155, Beijing, 102206, People's Republic of China
| | - Yan Lv
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University, Hangzhou), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Chang-Bai Rd 155, Beijing, 102206, People's Republic of China
| | - Bao-Yun Zhang
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University, Hangzhou), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Chang-Bai Rd 155, Beijing, 102206, People's Republic of China
| | - Wei Zhou
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University, Hangzhou), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Chang-Bai Rd 155, Beijing, 102206, People's Republic of China
| | - Cao Chen
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University, Hangzhou), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Chang-Bai Rd 155, Beijing, 102206, People's Republic of China
| | - Chen Gao
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University, Hangzhou), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Chang-Bai Rd 155, Beijing, 102206, People's Republic of China
| | - Qi Shi
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University, Hangzhou), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Chang-Bai Rd 155, Beijing, 102206, People's Republic of China.
| | - Xiao-Ping Dong
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University, Hangzhou), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Chang-Bai Rd 155, Beijing, 102206, People's Republic of China. .,Chinese Academy of Sciences Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China.
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