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Ito Y, Nagamoto S, Takano T. Synaptic proteomics decode novel molecular landscape in the brain. Front Mol Neurosci 2024; 17:1361956. [PMID: 38726307 PMCID: PMC11079194 DOI: 10.3389/fnmol.2024.1361956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Accepted: 04/12/2024] [Indexed: 05/12/2024] Open
Abstract
Synapses play a pivotal role in forming neural circuits, with critical implications for brain functions such as learning, memory, and emotions. Several advances in synaptic research have demonstrated the diversity of synaptic structure and function, which can form thousands of connections depending on the neuronal cell types. Moreover, synapses not only interconnect neurons but also establish connections with glial cells such as astrocytes, which play a key role in the architecture and function of neuronal circuits in the brain. Emerging evidence suggests that dysfunction of synaptic proteins contributes to a variety of neurological and psychiatric disorders. Therefore, it is crucial to determine the molecular networks within synapses in various neuronal cell types to gain a deeper understanding of how the nervous system regulates brain function. Recent advances in synaptic proteome approaches, such as fluorescence-activated synaptosome sorting (FASS) and proximity labeling, have allowed for a detailed and spatial analysis of many cell-type-specific synaptic molecules in vivo. In this brief review, we highlight these novel spatial proteomic approaches and discuss the regulation of synaptic formation and function in the brain. This knowledge of molecular networks provides new insight into the understanding of many neurological and psychiatric disorders.
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Affiliation(s)
- Yuki Ito
- Division of Molecular Systems for Brain Function, Institute for Advanced Study, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan
- Division of Integrated Omics, Medical Research Center for High Depth Omics, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan
| | - Sayaka Nagamoto
- Division of Molecular Systems for Brain Function, Institute for Advanced Study, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan
| | - Tetsuya Takano
- Division of Molecular Systems for Brain Function, Institute for Advanced Study, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan
- Department of Neurophysiology, Keio University School of Medicine, Tokyo, Japan
- PRESTO, Japan Science and Technology Agency, Saitama, Japan
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2
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Ma R, Pang K, Kang H, Zhang Y, Bang G, Park S, Hwang E, Ryu JR, Kwon Y, Kang HR, Jin C, Kim Y, Kim SY, Kwon SK, Kim D, Sun W, Kim JY, Han K. Protein interactome and cell-type expression analyses reveal that cytoplasmic FMR1-interacting protein 1 (CYFIP1), but not CYFIP2, associates with astrocytic focal adhesion. J Neurochem 2022; 162:190-206. [PMID: 35567753 DOI: 10.1111/jnc.15622] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 02/24/2022] [Accepted: 05/11/2022] [Indexed: 11/28/2022]
Abstract
The two members of the cytoplasmic FMR1-interacting protein family, CYFIP1 and CYFIP2, are evolutionarily conserved multifunctional proteins whose defects are associated with distinct types of brain disorders. Even with high sequence homology between CYFIP1 and CYFIP2, several lines of evidence indicate their different functions in the brain; however, the underlying mechanisms remain largely unknown. Here, we performed reciprocal immunoprecipitation experiments using CYFIP1-2×Myc and CYFIP2-3×Flag knock-in mice and found that CYFIP1 and CYFIP2 are not significantly co-immunoprecipitated with each other in the knock-in brains compared to negative control wild-type brains. Moreover, CYFIP1 and CYFIP2 showed different size distributions by size-exclusion chromatography of wild-type mouse brains. Specifically, mass spectrometry-based analysis of CYFIP1-2×Myc knock-in brains identified 131 proteins in the CYFIP1 interactome. Comparison of the CYFIP1 interactome with the previously identified brain region- and age-matched CYFIP2 interactome, consisting of 140 proteins, revealed only eight common proteins. Investigations using single-cell RNA-sequencing databases suggested non-neuronal cell- and neuron-enriched expression of Cyfip1 and Cyfip2, respectively. At the protein level, CYFIP1 was detected in both neurons and astrocytes, while CYFIP2 was detected only in neurons, suggesting the predominant expression of CYFIP1 in astrocytes. Bioinformatic characterization of the CYFIP1 interactome, and co-expression analysis of Cyfip1 with astrocytic genes, commonly linked CYFIP1 with focal adhesion proteins. Immunocytochemical analysis and proximity ligation assay suggested partial co-localization of CYFIP1 and focal adhesion proteins in cultured astrocytes. Together, these results suggest a CYFIP1-specific association with astrocytic focal adhesion, which may contribute to the different brain functions and dysfunctions of CYFIP1 and CYFIP2.
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Affiliation(s)
- Ruiying Ma
- Department of Neuroscience, Korea University College of Medicine, Seoul, 02841, Republic of Korea.,BK21 Graduate Program, Department of Biomedical Sciences, Korea University College of Medicine, Seoul, 02841, Republic of Korea
| | - Kaifang Pang
- Department of Pediatrics, Baylor College of Medicine, Houston, Texas, 77030, USA.,Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, Texas, 77030, USA
| | - Hyojin Kang
- Division of National Supercomputing, Korea Institute of Science and Technology Information (KISTI), Daejeon, 34141, Republic of Korea
| | - Yinhua Zhang
- Department of Neuroscience, Korea University College of Medicine, Seoul, 02841, Republic of Korea.,BK21 Graduate Program, Department of Biomedical Sciences, Korea University College of Medicine, Seoul, 02841, Republic of Korea
| | - Geul Bang
- Research Center for Bioconvergence Analysis, Korea Basic Science Institute (KBSI), Ochang 28119, Republic of Korea.,Korea University College of Pharmacy, Sejong, 30019, Republic of Korea
| | - Sangwoo Park
- Research Center for Bioconvergence Analysis, Korea Basic Science Institute (KBSI), Ochang 28119, Republic of Korea
| | - Eunha Hwang
- Center for Research Equipment, Korea Basic Science Institute (KBSI), Ochang 28119, Republic of Korea
| | - Jae Ryun Ryu
- Department of Anatomy, Korea University College of Medicine, Seoul, 02841, Republic of Korea
| | - Yujin Kwon
- Therapeutics & Biotechnology Division, Drug discovery platform research center, Korea Research Institute of Chemical Technology (KRICT), Daejeon, 34114, Republic of Korea
| | - Hyae Rim Kang
- Department of Neuroscience, Korea University College of Medicine, Seoul, 02841, Republic of Korea.,BK21 Graduate Program, Department of Biomedical Sciences, Korea University College of Medicine, Seoul, 02841, Republic of Korea
| | - Chunmei Jin
- Department of Neuroscience, Korea University College of Medicine, Seoul, 02841, Republic of Korea.,BK21 Graduate Program, Department of Biomedical Sciences, Korea University College of Medicine, Seoul, 02841, Republic of Korea
| | - Yoonhee Kim
- Department of Neuroscience, Korea University College of Medicine, Seoul, 02841, Republic of Korea
| | - Su Yeon Kim
- Department of Neuroscience, Korea University College of Medicine, Seoul, 02841, Republic of Korea.,Korea Institute of Science and Technology (KIST), Brain Science Institute, Seoul, 02792, Republic of Korea
| | - Seok-Kyu Kwon
- Korea Institute of Science and Technology (KIST), Brain Science Institute, Seoul, 02792, Republic of Korea
| | - Doyoun Kim
- Therapeutics & Biotechnology Division, Drug discovery platform research center, Korea Research Institute of Chemical Technology (KRICT), Daejeon, 34114, Republic of Korea.,Medicinal Chemistry and Pharmacology, Korea University of Science and Technology (UST), Daejeon, 34113, Republic of Korea
| | - Woong Sun
- BK21 Graduate Program, Department of Biomedical Sciences, Korea University College of Medicine, Seoul, 02841, Republic of Korea.,Department of Anatomy, Korea University College of Medicine, Seoul, 02841, Republic of Korea
| | - Jin Young Kim
- Research Center for Bioconvergence Analysis, Korea Basic Science Institute (KBSI), Ochang 28119, Republic of Korea
| | - Kihoon Han
- Department of Neuroscience, Korea University College of Medicine, Seoul, 02841, Republic of Korea.,BK21 Graduate Program, Department of Biomedical Sciences, Korea University College of Medicine, Seoul, 02841, Republic of Korea
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3
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Postsynaptic autism spectrum disorder genes and synaptic dysfunction. Neurobiol Dis 2021; 162:105564. [PMID: 34838666 DOI: 10.1016/j.nbd.2021.105564] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Revised: 11/17/2021] [Accepted: 11/23/2021] [Indexed: 12/20/2022] Open
Abstract
This review provides an overview of the synaptic dysfunction of neuronal circuits and the ensuing behavioral alterations caused by mutations in autism spectrum disorder (ASD)-linked genes directly or indirectly affecting the postsynaptic neuronal compartment. There are plenty of ASD risk genes, that may be broadly grouped into those involved in gene expression regulation (epigenetic regulation and transcription) and genes regulating synaptic activity (neural communication and neurotransmission). Notably, the effects mediated by ASD-associated genes can vary extensively depending on the developmental time and/or subcellular site of expression. Therefore, in order to gain a better understanding of the mechanisms of disruptions in postsynaptic function, an effort to better model ASD in experimental animals is required to improve standardization and increase reproducibility within and among studies. Such an effort holds promise to provide deeper insight into the development of these disorders and to improve the translational value of preclinical studies.
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Ortiz-González XR. Mitochondrial Dysfunction: A Common Denominator in Neurodevelopmental Disorders? Dev Neurosci 2021; 43:222-229. [PMID: 34350863 PMCID: PMC8440386 DOI: 10.1159/000517870] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Accepted: 06/12/2021] [Indexed: 11/19/2022] Open
Abstract
Mitochondria, the organelles classically seen as the powerhouse of the cell, are increasingly associated with a wide variety of neurodevelopmental disorders. Although individually rare, a myriad of pediatric neurogenetic disorders have been identified in the last few years, thanks to advances in clinical genetic sequencing and data analysis. As this exponential growth continues, mitochondrial dysfunction is increasingly implicated in childhood neurodevelopmental disorders, with clinical presentations ranging from syndromic autism, intellectual disability, and epileptic encephalopathies to childhood onset neurodegeneration. Here we review recent evidence demonstrating mitochondrial involvement in neurodevelopmental disorders, identify emerging mechanistic trends, and reconsider the long-standing question of the role of mitochondria in light of new evidence: causation versus mere association.
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Affiliation(s)
- Xilma R Ortiz-González
- Division of Neurology, Department of Pediatrics, The Children's Hospital of Philadelphia and Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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5
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Xu Y, Song X, Wang D, Wang Y, Li P, Li J. Proteomic insights into synaptic signaling in the brain: the past, present and future. Mol Brain 2021; 14:37. [PMID: 33596935 PMCID: PMC7888154 DOI: 10.1186/s13041-021-00750-5] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Accepted: 02/09/2021] [Indexed: 12/29/2022] Open
Abstract
Chemical synapses in the brain connect neurons to form neural circuits, providing the structural and functional bases for neural communication. Disrupted synaptic signaling is closely related to a variety of neurological and psychiatric disorders. In the past two decades, proteomics has blossomed as a versatile tool in biological and biomedical research, rendering a wealth of information toward decoding the molecular machinery of life. There is enormous interest in employing proteomic approaches for the study of synapses, and substantial progress has been made. Here, we review the findings of proteomic studies of chemical synapses in the brain, with special attention paid to the key players in synaptic signaling, i.e., the synaptic protein complexes and their post-translational modifications. Looking toward the future, we discuss the technological advances in proteomics such as data-independent acquisition mass spectrometry (DIA-MS), cross-linking in combination with mass spectrometry (CXMS), and proximity proteomics, along with their potential to untangle the mystery of how the brain functions at the molecular level. Last but not least, we introduce the newly developed synaptomic methods. These methods and their successful applications marked the beginnings of the synaptomics era.
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Affiliation(s)
- Yalan Xu
- Institute for Translational Medicine, The Affiliated Hospital of Qingdao University, Medical College, Qingdao University, Qingdao, 266021, China
| | - Xiuyue Song
- Institute for Translational Medicine, The Affiliated Hospital of Qingdao University, Medical College, Qingdao University, Qingdao, 266021, China
| | - Dong Wang
- Institute for Translational Medicine, The Affiliated Hospital of Qingdao University, Medical College, Qingdao University, Qingdao, 266021, China
| | - Yin Wang
- Institute for Translational Medicine, The Affiliated Hospital of Qingdao University, Medical College, Qingdao University, Qingdao, 266021, China
| | - Peifeng Li
- Institute for Translational Medicine, The Affiliated Hospital of Qingdao University, Medical College, Qingdao University, Qingdao, 266021, China
| | - Jing Li
- Institute for Translational Medicine, The Affiliated Hospital of Qingdao University, Medical College, Qingdao University, Qingdao, 266021, China.
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6
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Abnormalities of synaptic mitochondria in autism spectrum disorder and related neurodevelopmental disorders. J Mol Med (Berl) 2020; 99:161-178. [PMID: 33340060 PMCID: PMC7819932 DOI: 10.1007/s00109-020-02018-2] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Revised: 11/27/2020] [Accepted: 12/02/2020] [Indexed: 12/18/2022]
Abstract
Autism spectrum disorder (ASD) is a neurodevelopmental condition primarily characterized by an impairment of social interaction combined with the occurrence of repetitive behaviors. ASD starts in childhood and prevails across the lifespan. The variability of its clinical presentation renders early diagnosis difficult. Mutations in synaptic genes and alterations of mitochondrial functions are considered important underlying pathogenic factors, but it is obvious that we are far from a comprehensive understanding of ASD pathophysiology. At the synapse, mitochondria perform diverse functions, which are clearly not limited to their classical role as energy providers. Here, we review the current knowledge about mitochondria at the synapse and summarize the mitochondrial disturbances found in mouse models of ASD and other ASD-related neurodevelopmental disorders, like DiGeorge syndrome, Rett syndrome, Tuberous sclerosis complex, and Down syndrome.
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7
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Wilkinson B, Coba MP. Molecular architecture of postsynaptic Interactomes. Cell Signal 2020; 76:109782. [PMID: 32941943 DOI: 10.1016/j.cellsig.2020.109782] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 09/11/2020] [Accepted: 09/12/2020] [Indexed: 01/02/2023]
Abstract
The postsynaptic density (PSD) plays an essential role in the organization of the synaptic signaling machinery. It contains a set of core scaffolding proteins that provide the backbone to PSD protein-protein interaction networks (PINs). These core scaffolding proteins can be seen as three principal layers classified by protein family, with DLG proteins being at the top, SHANKs along the bottom, and DLGAPs connecting the two layers. Early studies utilizing yeast two hybrid enabled the identification of direct protein-protein interactions (PPIs) within the multiple layers of scaffolding proteins. More recently, mass-spectrometry has allowed the characterization of whole interactomes within the PSD. This expansion of knowledge has further solidified the centrality of core scaffolding family members within synaptic PINs and provided context for their role in neuronal development and synaptic function. Here, we discuss the scaffolding machinery of the PSD, their essential functions in the organization of synaptic PINs, along with their relationship to neuronal processes found to be impaired in complex brain disorders.
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Affiliation(s)
- Brent Wilkinson
- Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Marcelo P Coba
- Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Department of Psychiatry and Behavioral Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
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8
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Man W, Gu J, Wang B, Zhang M, Hu J, Lin J, Sun D, Xiong Z, Gu X, Hao K, Guo B, Wei G, Zhang L, Song R, Li C, Wang H, Sun D. SHANK3 Co-ordinately Regulates Autophagy and Apoptosis in Myocardial Infarction. Front Physiol 2020; 11:1082. [PMID: 32982797 PMCID: PMC7477314 DOI: 10.3389/fphys.2020.01082] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Accepted: 08/06/2020] [Indexed: 12/31/2022] Open
Abstract
Cardiac remodeling and dysfunction are responsible for the high mortality after myocardial infarction (MI). We assessed the potential for Shank3 to alleviate the post-infarction cardiac dysfunction. The experimental MI mice model was constructed by left anterior descending coronary artery ligation. Shank3 knockout aggravated cardiac dysfunction after MI, while Shank3 overexpression alleviated it. The histological examination showed that the infarct size was significantly increased in the acute phase of MI in the Shank3 knockout group, and the cardiac dysfunction of the Shank3 knockout group was even more severe than the Shank3 overexpression group, revealed by echocardiography analyses. In vitro, cultured neonatal cardiomyocytes were subjected to simulated MI. Shank3 downregulation curbed LC3 expression and autophagosome-lysosome fusion. Furthermore, Shank3 downregulation increased cardiomyocyte apoptosis. In contrast, Shank3 upregulation induced autophagy, and inhibited apoptosis under hypoxia. In vivo, western blot analysis showed decreased levels of Atg7, Beclin1, LC3-II, and Bcl-2 as well as increased expression of p62, cleaved caspase-3, and cleaved caspase-9 in the Shank3 knockout group which suffered from MI. On the other hand, it also revealed that Shank3 overexpression induced autophagy and inhibited apoptosis after MI. Shank3 may serve as a new target for improving cardiac function after MI by inducing autophagy while inhibiting apoptosis.
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Affiliation(s)
- Wanrong Man
- Department of Cardiology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Jing Gu
- School of Basic Medicine, Fourth Military Medical University, Xi'an, China
| | - Bo Wang
- Department of Cardiology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Mingming Zhang
- Department of Cardiology, Tangdu Hospital, Fourth Military Medical University, Xi'an, China
| | - Jianqiang Hu
- Department of Cardiology, Tangdu Hospital, Fourth Military Medical University, Xi'an, China
| | - Jie Lin
- Department of Cardiology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Dong Sun
- Department of Cardiology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Zhenyu Xiong
- Department of Cardiology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Xiaoming Gu
- Department of Physiology and Pathophysiology, Fourth Military Medical University, Xi'an, China
| | - Kaikai Hao
- Department of Cardiology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Baolin Guo
- Department of Cardiology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Gaoli Wei
- Department of Cardiology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Liang Zhang
- Department of Cardiology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Rui Song
- Department of Cardiology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Congye Li
- Department of Cardiology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Haichang Wang
- Heart Hospital, Xi'an International Medical Center, Xi'an, China
| | - Dongdong Sun
- Department of Cardiology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
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Jin C, Kim S, Kang H, Yun KN, Lee Y, Zhang Y, Kim Y, Kim JY, Han K. Shank3 regulates striatal synaptic abundance of Cyld, a deubiquitinase specific for Lys63-linked polyubiquitin chains. J Neurochem 2019; 150:776-786. [PMID: 31215654 DOI: 10.1111/jnc.14796] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2019] [Revised: 05/16/2019] [Accepted: 06/11/2019] [Indexed: 12/21/2022]
Abstract
The SH3 and multiple ankyrin repeat domains 3 (Shank3) proteins are core organizers of the postsynaptic density in neuronal excitatory synapses, and their defects cause various neurodevelopmental and neuropsychiatric disorders. Mechanistically, Shank3 directly and indirectly interacts with hundreds of synaptic proteins with diverse functions and potentially exerts its regulatory roles in synaptic development and function via these interactors. However, Shank3-dependent regulation of synaptic abundance has been validated in vivo for only a few Shank3 interactors. Here, using a quantitative proteomic analysis, we identified 136 proteins with altered synaptic abundance in the striatum of Shank3-overexpressing transgenic (TG) mice. By comparing these proteins with those found in a previous analysis of the postsynaptic density of Shank3 knock-out (KO) striatum, we identified and confirmed that cylindromatosis-associated deubiquitinase (Cyld), a deubiquitinase specific for Lys63-linked polyubiquitin chains, was up- and down-regulated in Shank3 TG and KO striatal synapses, respectively. Consistently, we found that the synaptic levels of Lys63-linked polyubiquitin chains were down- and up-regulated in the Shank3 TG and KO striata, respectively. Furthermore, by isolating and analyzing the synaptic Cyld complex, we generated a Cyld interactome consisting of 103 proteins, which may include Cyld substrates. Bioinformatic analyses suggested associations of the Cyld interactome with a few brain disorders and synaptic functions. Taken together, these results suggest that Shank3 regulates the synaptic abundance of Cyld in the mouse striatum and, thereby, potentially modulates the Lys63-linked polyubiquitination of striatal synaptic proteins.
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Affiliation(s)
- Chunmei Jin
- Departments of Neuroscience, College of Medicine, Korea University, Seoul, South Korea.,Biomedical Sciences, College of Medicine, Korea University, Seoul, South Korea
| | - Shinhyun Kim
- Departments of Neuroscience, College of Medicine, Korea University, Seoul, South Korea.,Biomedical Sciences, College of Medicine, Korea University, Seoul, South Korea
| | - Hyojin Kang
- Division of National Supercomputing, KISTI, Daejeon, South Korea
| | - Ki Na Yun
- Biomedical Omics Group, Korea Basic Science Institute, Ochang, Korea
| | - Yeunkum Lee
- Departments of Neuroscience, College of Medicine, Korea University, Seoul, South Korea.,Biomedical Sciences, College of Medicine, Korea University, Seoul, South Korea
| | - Yinhua Zhang
- Departments of Neuroscience, College of Medicine, Korea University, Seoul, South Korea.,Biomedical Sciences, College of Medicine, Korea University, Seoul, South Korea
| | - Yoonhee Kim
- Departments of Neuroscience, College of Medicine, Korea University, Seoul, South Korea
| | - Jin Young Kim
- Biomedical Omics Group, Korea Basic Science Institute, Ochang, Korea
| | - Kihoon Han
- Departments of Neuroscience, College of Medicine, Korea University, Seoul, South Korea.,Biomedical Sciences, College of Medicine, Korea University, Seoul, South Korea
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