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Hu J, He K, Yang Y, Huang C, Dou Y, Wang H, Zhang G, Wang J, Niu C, Bi G, Zhang L, Zhu S. Amino acid formula induces microbiota dysbiosis and depressive-like behavior in mice. Cell Rep 2024; 43:113817. [PMID: 38412095 DOI: 10.1016/j.celrep.2024.113817] [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: 07/31/2023] [Revised: 11/24/2023] [Accepted: 02/01/2024] [Indexed: 02/29/2024] Open
Abstract
Amino acid formula (AAF) is increasingly consumed in infants with cow's milk protein allergy; however, the long-term influences on health are less described. In this study, we established a mouse model by subjecting neonatal mice to an amino acid diet (AAD) to mimic the feeding regimen of infants on AAF. Surprisingly, AAD-fed mice exhibited dysbiotic microbiota and increased neuronal activity in both the intestine and brain, as well as gastrointestinal peristalsis disorders and depressive-like behavior. Furthermore, fecal microbiota transplantation from AAD-fed mice or AAF-fed infants to recipient mice led to elevated neuronal activations and exacerbated depressive-like behaviors compared to that from normal chow-fed mice or cow's-milk-formula-fed infants, respectively. Our findings highlight the necessity to avoid the excessive use of AAF, which may influence the neuronal development and mental health of children.
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Affiliation(s)
- Ji Hu
- Key Laboratory of Immune Response and Immunotherapy, Center for Advanced Interdisciplinary Science and Biomedicine of IHM, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China; The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, China
| | - Kaixin He
- Key Laboratory of Immune Response and Immunotherapy, Center for Advanced Interdisciplinary Science and Biomedicine of IHM, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China; The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, China
| | - Yifei Yang
- School of Data Science, University of Science and Technology of China, Hefei, China
| | - Chuan Huang
- Key Laboratory of Immune Response and Immunotherapy, Center for Advanced Interdisciplinary Science and Biomedicine of IHM, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Yiping Dou
- Key Laboratory of Immune Response and Immunotherapy, Center for Advanced Interdisciplinary Science and Biomedicine of IHM, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Hao Wang
- Key Laboratory of Immune Response and Immunotherapy, Center for Advanced Interdisciplinary Science and Biomedicine of IHM, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Guorong Zhang
- Key Laboratory of Immune Response and Immunotherapy, Center for Advanced Interdisciplinary Science and Biomedicine of IHM, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China; The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, China
| | - Jingyuan Wang
- Key Laboratory of Immune Response and Immunotherapy, Center for Advanced Interdisciplinary Science and Biomedicine of IHM, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Chaoshi Niu
- The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, China
| | - Guoqiang Bi
- Key Laboratory of Immune Response and Immunotherapy, Center for Advanced Interdisciplinary Science and Biomedicine of IHM, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Lan Zhang
- The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, China.
| | - Shu Zhu
- Key Laboratory of Immune Response and Immunotherapy, Center for Advanced Interdisciplinary Science and Biomedicine of IHM, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China; The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, China; School of Data Science, University of Science and Technology of China, Hefei, China.
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Liu R, Dou Z, Tian T, Gao X, Chen L, Yuan X, Wang C, Hao J, Gui P, Mullen M, Aikhionbare F, Niu L, Bi G, Zou P, Zhang X, Fu C, Yao X, Zang J, Liu X. Dynamic phosphorylation of CENP-N by CDK1 guides accurate chromosome segregation in mitosis. J Mol Cell Biol 2023; 15:mjad041. [PMID: 37365681 PMCID: PMC10799313 DOI: 10.1093/jmcb/mjad041] [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: 07/26/2022] [Revised: 01/09/2023] [Accepted: 06/24/2023] [Indexed: 06/28/2023] Open
Abstract
In mitosis, accurate chromosome segregation depends on the kinetochore, a supermolecular machinery that couples dynamic spindle microtubules to centromeric chromatin. However, the structure-activity relationship of the constitutive centromere-associated network (CCAN) during mitosis remains uncharacterized. Building on our recent cryo-electron microscopic analyses of human CCAN structure, we investigated how dynamic phosphorylation of human CENP-N regulates accurate chromosome segregation. Our mass spectrometric analyses revealed mitotic phosphorylation of CENP-N by CDK1, which modulates the CENP-L-CENP-N interaction for accurate chromosome segregation and CCAN organization. Perturbation of CENP-N phosphorylation is shown to prevent proper chromosome alignment and activate the spindle assembly checkpoint. These analyses provide mechanistic insight into a previously undefined link between the centromere-kinetochore network and accurate chromosome segregation.
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Affiliation(s)
- Ran Liu
- MOE Key Laboratory for Cellular Dynamics & Hefei National Research Center for Interdisciplinary Sciences at the Microscale, University of Science and Technology of China School of Life Sciences, Hefei 230026, China
- CAS Center for Excellence in Molecular and Cell Sciences, Anhui Key Laboratory for Cellular Dynamics and Chemical Biology, Hefei 230027, China
| | - Zhen Dou
- MOE Key Laboratory for Cellular Dynamics & Hefei National Research Center for Interdisciplinary Sciences at the Microscale, University of Science and Technology of China School of Life Sciences, Hefei 230026, China
- CAS Center for Excellence in Molecular and Cell Sciences, Anhui Key Laboratory for Cellular Dynamics and Chemical Biology, Hefei 230027, China
| | - Tian Tian
- MOE Key Laboratory for Cellular Dynamics & Hefei National Research Center for Interdisciplinary Sciences at the Microscale, University of Science and Technology of China School of Life Sciences, Hefei 230026, China
| | - Xinjiao Gao
- MOE Key Laboratory for Cellular Dynamics & Hefei National Research Center for Interdisciplinary Sciences at the Microscale, University of Science and Technology of China School of Life Sciences, Hefei 230026, China
- CAS Center for Excellence in Molecular and Cell Sciences, Anhui Key Laboratory for Cellular Dynamics and Chemical Biology, Hefei 230027, China
| | - Lili Chen
- MOE Key Laboratory for Cellular Dynamics & Hefei National Research Center for Interdisciplinary Sciences at the Microscale, University of Science and Technology of China School of Life Sciences, Hefei 230026, China
| | - Xiao Yuan
- MOE Key Laboratory for Cellular Dynamics & Hefei National Research Center for Interdisciplinary Sciences at the Microscale, University of Science and Technology of China School of Life Sciences, Hefei 230026, China
- CAS Center for Excellence in Molecular and Cell Sciences, Anhui Key Laboratory for Cellular Dynamics and Chemical Biology, Hefei 230027, China
| | - Chunyue Wang
- MOE Key Laboratory for Cellular Dynamics & Hefei National Research Center for Interdisciplinary Sciences at the Microscale, University of Science and Technology of China School of Life Sciences, Hefei 230026, China
| | - Jiahe Hao
- MOE Key Laboratory for Cellular Dynamics & Hefei National Research Center for Interdisciplinary Sciences at the Microscale, University of Science and Technology of China School of Life Sciences, Hefei 230026, China
| | - Ping Gui
- MOE Key Laboratory for Cellular Dynamics & Hefei National Research Center for Interdisciplinary Sciences at the Microscale, University of Science and Technology of China School of Life Sciences, Hefei 230026, China
- CAS Center for Excellence in Molecular and Cell Sciences, Anhui Key Laboratory for Cellular Dynamics and Chemical Biology, Hefei 230027, China
- Keck Center for Cellular Dynamics, Morehouse School of Medicine, Atlanta, GA 30310, USA
| | - McKay Mullen
- MOE Key Laboratory for Cellular Dynamics & Hefei National Research Center for Interdisciplinary Sciences at the Microscale, University of Science and Technology of China School of Life Sciences, Hefei 230026, China
- Keck Center for Cellular Dynamics, Morehouse School of Medicine, Atlanta, GA 30310, USA
| | - Felix Aikhionbare
- Keck Center for Cellular Dynamics, Morehouse School of Medicine, Atlanta, GA 30310, USA
| | - Liwen Niu
- MOE Key Laboratory for Cellular Dynamics & Hefei National Research Center for Interdisciplinary Sciences at the Microscale, University of Science and Technology of China School of Life Sciences, Hefei 230026, China
- CAS Center for Excellence in Molecular and Cell Sciences, Anhui Key Laboratory for Cellular Dynamics and Chemical Biology, Hefei 230027, China
| | - Guoqiang Bi
- MOE Key Laboratory for Cellular Dynamics & Hefei National Research Center for Interdisciplinary Sciences at the Microscale, University of Science and Technology of China School of Life Sciences, Hefei 230026, China
- CAS Center for Excellence in Molecular and Cell Sciences, Anhui Key Laboratory for Cellular Dynamics and Chemical Biology, Hefei 230027, China
| | - Peng Zou
- College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China
| | - Xuan Zhang
- MOE Key Laboratory for Cellular Dynamics & Hefei National Research Center for Interdisciplinary Sciences at the Microscale, University of Science and Technology of China School of Life Sciences, Hefei 230026, China
| | - Chuanhai Fu
- MOE Key Laboratory for Cellular Dynamics & Hefei National Research Center for Interdisciplinary Sciences at the Microscale, University of Science and Technology of China School of Life Sciences, Hefei 230026, China
- CAS Center for Excellence in Molecular and Cell Sciences, Anhui Key Laboratory for Cellular Dynamics and Chemical Biology, Hefei 230027, China
| | - Xuebiao Yao
- MOE Key Laboratory for Cellular Dynamics & Hefei National Research Center for Interdisciplinary Sciences at the Microscale, University of Science and Technology of China School of Life Sciences, Hefei 230026, China
- CAS Center for Excellence in Molecular and Cell Sciences, Anhui Key Laboratory for Cellular Dynamics and Chemical Biology, Hefei 230027, China
| | - Jianye Zang
- MOE Key Laboratory for Cellular Dynamics & Hefei National Research Center for Interdisciplinary Sciences at the Microscale, University of Science and Technology of China School of Life Sciences, Hefei 230026, China
| | - Xing Liu
- MOE Key Laboratory for Cellular Dynamics & Hefei National Research Center for Interdisciplinary Sciences at the Microscale, University of Science and Technology of China School of Life Sciences, Hefei 230026, China
- CAS Center for Excellence in Molecular and Cell Sciences, Anhui Key Laboratory for Cellular Dynamics and Chemical Biology, Hefei 230027, China
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Ma C, Xia D, Huang S, Du Q, Liu J, Zhang B, Zhu Q, Bi G, Wang H, Xu RX. High precision vibration sectioning for 3D imaging of the whole central nervous system. J Neurosci Methods 2023; 399:109966. [PMID: 37666283 DOI: 10.1016/j.jneumeth.2023.109966] [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: 03/26/2023] [Revised: 06/21/2023] [Accepted: 08/30/2023] [Indexed: 09/06/2023]
Abstract
BACKGROUND Imaging and reconstruction of the morphology of neurons within the entire central nervous system (CNS) is important for deciphering the neural circuitry and related brain functions. With combination of tissue clearing and light sheet microscopy, previous studies have imaged the mouse CNS at cellular resolution, while remaining single axons unresolvable due to the tradeoff between sample size and imaging resolution. This could be improved by sectioning the sample into thick slices and imaged with high resolution light sheet microscopy as described in our previous study. However, the achievable quality for 3D imaging of serial thick slices is often hindered by surface undulation and other artifacts introduced by sectioning and handling limitations. NEW METHODS In order to improve the imaging quality for mouse CNS, we develop a high-performance vibratome system for sample sectioning and handling automation. The sectioning mechanism of the system was modeled theoretically and verified experimentally. The effects of process parameters and sample properties on sectioning accuracy were studied to optimize the sectioning outcome. The resultant imaging outcome was demonstrated on mouse samples. RESULTS Our theoretical model of vibratome effectively depicts the relationship between the sample surface undulation errors and the sectioning parameters. With the guidance of the theoretical model, the vibratome is able to achieve a local surface undulation error of ±0.5 µm and a surface arithmetic mean deviation (Sa) of 220 nm for 300-μm-thick tissue slices. Imaging results of mouse CNS show the continuous sectioning capability of the vibratome. COMPARISON WITH EXISTING METHOD Our automatic sectioning and handling system is able to process serial thick slices for 3D imaging of the whole CNS at a single-axon resolution, superior to the commercially available vibratome devices. CONCLUSION Our automatic sectioning and handling system can be optimized to prepare thick sample slices with minimal surface undulation and manual manipulation in support of 3D brain mapping with high-throughput and high-accuracy.
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Affiliation(s)
- Canzhen Ma
- School of Engineering Science, University of Science and Technology of China, Hefei 230027, China; Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei 230088, China; School of Biomedical Engineering, University of Science and Technology of China, Suzhou 215123, China
| | - Debin Xia
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei 230088, China; National Engineering Laboratory for Brain-inspired Intelligence Technology and Application, University of Science and Technology of China, Hefei 230027, China
| | - Shichang Huang
- Hefei National Laboratory for Physical Sciences at the Microscale, and School of Life Sciences, University of Science and Technology of China, Hefei, Anhui 230027, China
| | - Qing Du
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei 230088, China
| | - Jiajun Liu
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei 230088, China; National Engineering Laboratory for Brain-inspired Intelligence Technology and Application, University of Science and Technology of China, Hefei 230027, China
| | - Bo Zhang
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei 230088, China; National Engineering Laboratory for Brain-inspired Intelligence Technology and Application, University of Science and Technology of China, Hefei 230027, China
| | - Qingyuan Zhu
- Hefei National Laboratory for Physical Sciences at the Microscale, and School of Life Sciences, University of Science and Technology of China, Hefei, Anhui 230027, China
| | - Guoqiang Bi
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei 230088, China; Hefei National Laboratory for Physical Sciences at the Microscale, and School of Life Sciences, University of Science and Technology of China, Hefei, Anhui 230027, China
| | - Hao Wang
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei 230088, China; National Engineering Laboratory for Brain-inspired Intelligence Technology and Application, University of Science and Technology of China, Hefei 230027, China.
| | - Ronald X Xu
- School of Engineering Science, University of Science and Technology of China, Hefei 230027, China; School of Biomedical Engineering, University of Science and Technology of China, Suzhou 215123, China.
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Fan S, Qi L, Li J, Liu S, Li R, Zhan T, Li X, Wu D, Lau P, Qiu B, Bi G, Ding W. Accelerating Neurite Growth and Directing Neuronal Connections Constrained by 3D Porous Microtubes. Nano Lett 2022; 22:8991-8999. [PMID: 36327196 DOI: 10.1021/acs.nanolett.2c03232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Investigation of neural growth and connection is crucial in the field of neural tissue engineering. Here, using a femtosecond laser direct writing (fs-DLW) technique, we propose a directionally aligned porous microtube array as a culture system for accelerating the growth of neurons and directing the connection of neurites. These microtubes exhibited an unprecedented guidance effect toward the outgrowth of primary embryonic rat hippocampal neurons, with a wrap resembling the myelin sheaths of neurons. The speed of neurite growth inside these microtubes was significantly faster than that outside these microtubes. We also achieved selective/directing connection of neural networks inside the magnetic microtubes via precise microtube delivery to a gap between two neural clusters. This work not only proposes a powerful microtube platform for accelerated growth of neurons but also offers a new idea for constructing biological neural circuits by arranging the size, location, and pattern of microtubes.
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Affiliation(s)
- Shengying Fan
- Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui 230026, China
- Department of Oncology, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230001, China
| | - Lei Qi
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, Anhui 230026, China
| | - Jiawen Li
- Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes, CAS Key Laboratory of Mechanical Behavior and Design of Materials, Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Shunli Liu
- Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes, CAS Key Laboratory of Mechanical Behavior and Design of Materials, Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Rui Li
- Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes, CAS Key Laboratory of Mechanical Behavior and Design of Materials, Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Tongzhou Zhan
- Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes, CAS Key Laboratory of Mechanical Behavior and Design of Materials, Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Xiaowei Li
- CAS Key Laboratory of Brain Function and Disease, School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Dong Wu
- Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes, CAS Key Laboratory of Mechanical Behavior and Design of Materials, Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Pakming Lau
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, Anhui 230026, China
- CAS Key Laboratory of Brain Function and Disease, School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Bensheng Qiu
- Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Guoqiang Bi
- CAS Key Laboratory of Brain Function and Disease, School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Weiping Ding
- Department of Oncology, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230001, China
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Huang Z, Liu L, Zhang J, Conde K, Phansalkar J, Li Z, Yao L, Xu Z, Wang W, Zhou J, Bi G, Wu F, Seeley RJ, Scott MM, Zhan C, Pang ZP, Liu J. Glucose-sensing glucagon-like peptide-1 receptor neurons in the dorsomedial hypothalamus regulate glucose metabolism. Sci Adv 2022; 8:eabn5345. [PMID: 35675406 PMCID: PMC9177072 DOI: 10.1126/sciadv.abn5345] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Accepted: 04/21/2022] [Indexed: 05/23/2023]
Abstract
Glucagon-like peptide-1 (GLP-1) regulates energy homeostasis via activation of the GLP-1 receptors (GLP-1Rs) in the central nervous system. However, the mechanism by which the central GLP-1 signal controls blood glucose levels, especially in different nutrient states, remains unclear. Here, we defined a population of glucose-sensing GLP-1R neurons in the dorsomedial hypothalamic nucleus (DMH), by which endogenous GLP-1 decreases glucose levels via the cross-talk between the hypothalamus and pancreas. Specifically, we illustrated the sufficiency and necessity of DMHGLP-1R in glucose regulation. The activation of the DMHGLP-1R neurons is mediated by a cAMP-PKA-dependent inhibition of a delayed rectifier potassium current. We also dissected a descending control of DMHGLP-1R -dorsal motor nucleus of the vagus nerve (DMV)-pancreas activity that can regulate glucose levels by increasing insulin release. Thus, our results illustrate how central GLP-1 action in the DMH can induce a nutrient state-dependent reduction in blood glucose level.
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Affiliation(s)
- Zhaohuan Huang
- National Engineering Laboratory for Brain-inspired Intelligence Technology and Application, School of Information Science and Technology, University of Science and Technology of China, Anhui, China
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China
| | - Ling Liu
- National Engineering Laboratory for Brain-inspired Intelligence Technology and Application, School of Information Science and Technology, University of Science and Technology of China, Anhui, China
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China
| | - Jian Zhang
- CAS Key Laboratory of Brain Function and Diseases, Life Science School, University of Science and Technology of China, Anhui, China
| | - Kristie Conde
- Child Health Institute of New Jersey, Rutgers University Robert Wood Johnson Medical School, New Brunswick, NJ 08901, USA
- Department of Neuroscience and Cell Biology, Rutgers University Robert Wood Johnson Medical School, New Brunswick, NJ 08901, USA
| | - Jay Phansalkar
- Child Health Institute of New Jersey, Rutgers University Robert Wood Johnson Medical School, New Brunswick, NJ 08901, USA
- Department of Neuroscience and Cell Biology, Rutgers University Robert Wood Johnson Medical School, New Brunswick, NJ 08901, USA
| | - Zhongzhong Li
- National Engineering Laboratory for Brain-inspired Intelligence Technology and Application, School of Information Science and Technology, University of Science and Technology of China, Anhui, China
| | - Lei Yao
- CAS Key Laboratory of Brain Function and Diseases, Life Science School, University of Science and Technology of China, Anhui, China
| | - Zihui Xu
- Child Health Institute of New Jersey, Rutgers University Robert Wood Johnson Medical School, New Brunswick, NJ 08901, USA
- Department of Neuroscience and Cell Biology, Rutgers University Robert Wood Johnson Medical School, New Brunswick, NJ 08901, USA
| | - Wei Wang
- Department of Endocrinology and Laboratory for Diabetes, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Anhui, China
| | - Jiangning Zhou
- CAS Key Laboratory of Brain Function and Diseases, Life Science School, University of Science and Technology of China, Anhui, China
| | - Guoqiang Bi
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China
- CAS Key Laboratory of Brain Function and Diseases, Life Science School, University of Science and Technology of China, Anhui, China
| | - Feng Wu
- National Engineering Laboratory for Brain-inspired Intelligence Technology and Application, School of Information Science and Technology, University of Science and Technology of China, Anhui, China
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China
| | - Randy J. Seeley
- Department of Surgery, University of Michigan, Ann Arbor, MI 48109, USA
| | - Michael M. Scott
- Department of Pharmacology, University of Virginia, Charlottesville, VA 22908, USA
| | - Cheng Zhan
- Department of Hematology, The First Affiliated Hospital, Life Science School, University of Science and Technology of China, Anhui, China
- National Institute of Biological Sciences, Beijing 102206, China
- Tsinghua Institute of Multidisciplinary Biomedical Research, Tsinghua University, Beijing 100084, China
| | - Zhiping P. Pang
- Child Health Institute of New Jersey, Rutgers University Robert Wood Johnson Medical School, New Brunswick, NJ 08901, USA
- Department of Neuroscience and Cell Biology, Rutgers University Robert Wood Johnson Medical School, New Brunswick, NJ 08901, USA
| | - Ji Liu
- National Engineering Laboratory for Brain-inspired Intelligence Technology and Application, School of Information Science and Technology, University of Science and Technology of China, Anhui, China
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China
- CAS Key Laboratory of Brain Function and Diseases, Life Science School, University of Science and Technology of China, Anhui, China
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6
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Luo Z, Li J, Wu Z, Li S, Bi G. Investigating the Driving Factors of Public Participation in Public-Private Partnership (PPP) Projects-A Case Study of China. Int J Environ Res Public Health 2022; 19:ijerph19095192. [PMID: 35564594 PMCID: PMC9104825 DOI: 10.3390/ijerph19095192] [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] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 04/18/2022] [Accepted: 04/19/2022] [Indexed: 11/23/2022]
Abstract
Public participation is an important procedure of the environmental impact assessment. Effective public participation is essential to the Public–Private Partnership (PPP) projects as such projects usually exert tremendous impacts on the environment and society. However, in literature, there are few studies investigating the driving factors of public participation in PPP projects, especially in the context of China. To bridge this research gap, this study proposed a theoretical model, which incorporates contextual factors (i.e., perceived benefit and perceived risk) into the classical Theory of Planned Behavior model, to explore the determinants. The initial proposed model was tested using structural equation modeling. Analysis results indicated that attitude towards behavior, subjective norm, perceived risk and perceived behavioral control were the four significant driving factors of public participation in PPP projects, whereas perceived benefit had limited impact. Furthermore, this study evaluated eight public participation approaches in PPP projects. Results revealed that the public were more willing to participate in public decisions through the internet platform, followed by the information disclosure or consultation provided by the government. The research findings derived in this study can provide valuable reference for the government to promulgate proper policies to attract more public participation in PPP projects. Moreover, the research idea and methods used in this study can be popularized in other countries to enhance the public participation in PPP projects.
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Affiliation(s)
- Ziqian Luo
- School of Business, Macau University of Science and Technology, Macau 999078, China;
| | - Junjie Li
- Underground Polis Academy, Shenzhen University, Shenzhen 518060, China; (J.L.); (S.L.)
| | - Zezhou Wu
- Underground Polis Academy, Shenzhen University, Shenzhen 518060, China; (J.L.); (S.L.)
- Key Laboratory for Resilient Infrastructures of Coastal Cities (Shenzhen University), Ministry of Education, Shenzhen University, Shenzhen 518060, China
- Sino-Australia Joint Research Centre in BIM and Smart Construction, Shenzhen University, Shenzhen 518060, China
- Correspondence:
| | - Shenghan Li
- Underground Polis Academy, Shenzhen University, Shenzhen 518060, China; (J.L.); (S.L.)
- Key Laboratory for Resilient Infrastructures of Coastal Cities (Shenzhen University), Ministry of Education, Shenzhen University, Shenzhen 518060, China
- Sino-Australia Joint Research Centre in BIM and Smart Construction, Shenzhen University, Shenzhen 518060, China
| | - Guoqiang Bi
- Jinan Haiying Real Estate Development Company, Jinan 250000, China;
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7
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Shi W, Xue M, Wu F, Fan K, Chen QY, Xu F, Li X, Bi G, Lu J, Zhuo M. Whole-brain mapping of efferent projections of the anterior cingulate cortex in adult male mice. Mol Pain 2022; 18:17448069221094529. [PMID: 35354345 PMCID: PMC9083044 DOI: 10.1177/17448069221094529] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [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] [Indexed: 11/18/2022] Open
Abstract
The anterior cingulate cortex (ACC) is a key cortical region that plays an important role in pain perception and emotional functions. Previous studies of the ACC projections have been collected primarily from monkeys, rabbits and rats. Due to technological advances, such as gene manipulation, recent progress has been made in our understanding of the molecular and cellular mechanisms of the ACC-related chronic pain and emotion is mainly obtained from adult mice. Few anatomic studies have examined the whole-brain projections of the ACC in adult mice. In the present study, we examined the continuous axonal outputs of the ACC in the whole brain of adult male mice. We used the virus anterograde tracing technique and an ultrahigh-speed imaging method of Volumetric Imaging with Synchronized on-the-fly-scan and Readout (VISoR). We created a three-dimensional (3D) reconstruction of mouse brains. We found that the ACC projected ipsilaterally primarily to the caudate putamen (CPu), ventral thalamic nucleus, zona incerta (ZI), periaqueductal gray (PAG), superior colliculus (SC), interpolar spinal trigeminal nucleus (Sp5I), and dorsal medullary reticular nucleus (MdD). The ACC also projected to contralateral brain regions, including the ACC, reuniens thalamic nucleus (Re), PAG, Sp5I, and MdD. Our results provide a whole-brain mapping of efferent projections from the ACC in adult male mice, and these findings are critical for future studies of the molecular and synaptic mechanisms of the ACC and its related network in mouse models of brain diseases.
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Affiliation(s)
| | - Man Xue
- 12480Xi'an Jiaotong University
| | - Fengyi Wu
- 85411Chinese Academy of Sciences Shenzhen Institutes of Advanced Technology
| | - Kexin Fan
- 598900Xi'an Jiaotong University School of Basic Medical Sciences
| | - Qi-Yu Chen
- 85411Chinese Academy of Sciences Shenzhen Institutes of Advanced Technology
| | - Fang Xu
- 85411Chinese Academy of Sciences Shenzhen Institutes of Advanced Technology
| | | | - Guoqiang Bi
- 85411Chinese Academy of Sciences Shenzhen Institutes of Advanced Technology
| | | | - Min Zhuo
- Physiology7938University of Toronto
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8
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Xue M, Shi W, Zhou S, Li Y, Wu F, Chen QY, Liu RH, Zhou Z, Zhang YX, Chen Y, Xu F, Bi G, Li X, Lu J, Zhuo M. Mapping thalamic-anterior cingulate monosynaptic inputs in adult mice. Mol Pain 2022; 18:17448069221087034. [PMID: 35240879 PMCID: PMC9009153 DOI: 10.1177/17448069221087034] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [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] [Indexed: 11/16/2022] Open
Abstract
The anterior cingulate cortex (ACC) is located in the frontal part of the
cingulate cortex, and plays important roles in pain perception and emotion. The
thalamocortical pathway is the major sensory input to the ACC. Previous studies
have show that several different thalamic nuclei receive projection fibers from
spinothalamic tract, that in turn send efferents to the ACC by using neural
tracers and optical imaging methods. Most of these studies were performed in
monkeys, cats, and rats, few studies were reported systematically in adult mice.
Adult mice, especially genetically modified mice, have provided molecular and
synaptic mechanisms for cortical plasticity and modulation in the ACC. In the
present study, we utilized rabies virus-based retrograde tracing system to map
thalamic-anterior cingulate monosynaptic inputs in adult mice. We also combined
with a new high-throughput VISoR imaging technique to generate a
three-dimensional whole-brain reconstruction, especially the thalamus. We found
that cortical neurons in the ACC received direct projections from different
sub-nuclei in the thalamus, including the anterior, ventral, medial, lateral,
midline, and intralaminar thalamic nuclei. These findings provide key anatomic
evidences for the connection between the thalamus and ACC.
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Affiliation(s)
- Man Xue
- 12480Xi'an Jiaotong University
| | | | - Sibo Zhou
- 528996Xi'an Jiaotong University Frontier Institute of Science and Technology
| | | | | | | | | | | | | | | | | | | | | | | | - Min Zhuo
- Qingdao International Academician Park
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9
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Qu L, Li Y, Xie P, Liu L, Wang Y, Wu J, Liu Y, Wang T, Li L, Guo K, Wan W, Ouyang L, Xiong F, Kolstad AC, Wu Z, Xu F, Zheng Y, Gong H, Luo Q, Bi G, Dong H, Hawrylycz M, Zeng H, Peng H. Cross-modal coherent registration of whole mouse brains. Nat Methods 2022; 19:111-118. [PMID: 34887551 DOI: 10.1038/s41592-021-01334-w] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Accepted: 10/28/2021] [Indexed: 01/04/2023]
Abstract
Recent whole-brain mapping projects are collecting large-scale three-dimensional images using modalities such as serial two-photon tomography, fluorescence micro-optical sectioning tomography, light-sheet fluorescence microscopy, volumetric imaging with synchronous on-the-fly scan and readout or magnetic resonance imaging. Registration of these multi-dimensional whole-brain images onto a standard atlas is essential for characterizing neuron types and constructing brain wiring diagrams. However, cross-modal image registration is challenging due to intrinsic variations of brain anatomy and artifacts resulting from different sample preparation methods and imaging modalities. We introduce a cross-modal registration method, mBrainAligner, which uses coherent landmark mapping and deep neural networks to align whole mouse brain images to the standard Allen Common Coordinate Framework atlas. We build a brain atlas for the fluorescence micro-optical sectioning tomography modality to facilitate single-cell mapping, and used our method to generate a whole-brain map of three-dimensional single-neuron morphology and neuron cell types.
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Affiliation(s)
- Lei Qu
- Ministry of Education Key Laboratory of Intelligent Computation & Signal Processing, Information Materials and Intelligent Sensing Laboratory of Anhui Province, School of Electronics and Information Engineering, Anhui University, Hefei, China
- SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, China
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China
| | - Yuanyuan Li
- Ministry of Education Key Laboratory of Intelligent Computation & Signal Processing, Information Materials and Intelligent Sensing Laboratory of Anhui Province, School of Electronics and Information Engineering, Anhui University, Hefei, China
| | - Peng Xie
- SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, China
| | - Lijuan Liu
- SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, China
- Ministry of Education Key Laboratory of Developmental Genes and Human Disease, School of Life Science and Technology, Southeast University, Nanjing, China
| | - Yimin Wang
- SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, China
- School of Computer Engineering and Science, Shanghai University, Shanghai, China
| | - Jun Wu
- Ministry of Education Key Laboratory of Intelligent Computation & Signal Processing, Information Materials and Intelligent Sensing Laboratory of Anhui Province, School of Electronics and Information Engineering, Anhui University, Hefei, China
| | - Yu Liu
- Ministry of Education Key Laboratory of Intelligent Computation & Signal Processing, Information Materials and Intelligent Sensing Laboratory of Anhui Province, School of Electronics and Information Engineering, Anhui University, Hefei, China
| | - Tao Wang
- Ministry of Education Key Laboratory of Intelligent Computation & Signal Processing, Information Materials and Intelligent Sensing Laboratory of Anhui Province, School of Electronics and Information Engineering, Anhui University, Hefei, China
| | - Longfei Li
- Ministry of Education Key Laboratory of Intelligent Computation & Signal Processing, Information Materials and Intelligent Sensing Laboratory of Anhui Province, School of Electronics and Information Engineering, Anhui University, Hefei, China
| | - Kaixuan Guo
- Ministry of Education Key Laboratory of Intelligent Computation & Signal Processing, Information Materials and Intelligent Sensing Laboratory of Anhui Province, School of Electronics and Information Engineering, Anhui University, Hefei, China
| | - Wan Wan
- Ministry of Education Key Laboratory of Intelligent Computation & Signal Processing, Information Materials and Intelligent Sensing Laboratory of Anhui Province, School of Electronics and Information Engineering, Anhui University, Hefei, China
| | - Lei Ouyang
- Ministry of Education Key Laboratory of Intelligent Computation & Signal Processing, Information Materials and Intelligent Sensing Laboratory of Anhui Province, School of Electronics and Information Engineering, Anhui University, Hefei, China
| | - Feng Xiong
- SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, China
| | - Anna C Kolstad
- Department of Cell, Developmental & Regenerative Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Zhuhao Wu
- Department of Cell, Developmental & Regenerative Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Fang Xu
- CAS Key Laboratory of Brain Connectome and Manipulation, Interdisciplinary Center for Brain Information, The Brain Cognition and Brain Disease Institute, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, China
| | | | - Hui Gong
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan, China
- HUST-Suzhou Institute for Brainsmatics, JITRI Institute for Brainsmatics, Suzhou, China
- CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Science, Shanghai, China
| | - Qingming Luo
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan, China
- HUST-Suzhou Institute for Brainsmatics, JITRI Institute for Brainsmatics, Suzhou, China
- CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Science, Shanghai, China
- School of Biomedical Engineering, Hainan University, Haikou, China
| | - Guoqiang Bi
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China
- CAS Key Laboratory of Brain Connectome and Manipulation, Interdisciplinary Center for Brain Information, The Brain Cognition and Brain Disease Institute, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, China
- Center for Integrative Imaging, Hefei National Laboratory for Physical Sciences at the Microscale, and School of Life Sciences, University of Science and Technology of China, Hefei, China
| | - Hongwei Dong
- Center for Integrative Connectomics, Department of Neurobiology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | | | - Hongkui Zeng
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Hanchuan Peng
- SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, China.
- Allen Institute for Brain Science, Seattle, WA, USA.
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10
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Fan S, Qi L, Li J, Pan D, Zhang Y, Li R, Zhang C, Wu D, Lau P, Hu Y, Bi G, Ding W, Chu J. Guiding the Patterned Growth of Neuronal Axons and Dendrites Using Anisotropic Micropillar Scaffolds. Adv Healthc Mater 2021; 10:e2100094. [PMID: 34019723 DOI: 10.1002/adhm.202100094] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [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: 01/18/2021] [Revised: 04/27/2021] [Indexed: 12/31/2022]
Abstract
The patterning of axonal and dendritic growth is an important topic in neural tissue engineering and critical for generating directed neuronal networks in vitro. Evidence shows that artificial micro/nanotopography can better mimic the environment for neuronal growth in vivo. However, the potential mechanisms by which neurons interact with true three dimensional (3D) topographical cues and form directional networks are unclear. Herein, 3D micropillar scaffolds are designed to guide the growth of neural stem cells and hippocampal neurons in vitro. Discontinuous and anisotropic micropillars are fabricated by femtosecond direct laser writing to form patterned scaffolds with various spacings and heights, which are found to affect the branching and orientation of axons and dendrites. Interestingly, axons and dendrites tend to grow on an array of 3D micropillar scaffolds of the same height and form functionally connected neuronal networks, as reflected by synchronous neuronal activity visualized by calcium imaging. This method may represent a promising tool for studying neuron behavior and directed neuronal networks in a 3D environment.
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Affiliation(s)
- Shengying Fan
- Center for Biomedical Engineering Department of Electronic Science and Technology University of Science and Technology of China Hefei 230026 China
| | - Lei Qi
- CAS Key Laboratory of Brain Function and Disease School of Life Sciences Division of Life Sciences and Medicine University of Science and Technology of China Hefei 230026 China
- Hefei National Laboratory for Physical Sciences at the Microscale University of Science and Technology of China Hefei 230026 China
| | - Jiawen Li
- Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes CAS Key Laboratory of Mechanical Behavior and Design of Materials Department of Precision Machinery and Precision Instrumentation University of Science and Technology of China Hefei 230026 China
| | - Deng Pan
- Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes CAS Key Laboratory of Mechanical Behavior and Design of Materials Department of Precision Machinery and Precision Instrumentation University of Science and Technology of China Hefei 230026 China
| | - Yiyuan Zhang
- Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes CAS Key Laboratory of Mechanical Behavior and Design of Materials Department of Precision Machinery and Precision Instrumentation University of Science and Technology of China Hefei 230026 China
| | - Rui Li
- Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes CAS Key Laboratory of Mechanical Behavior and Design of Materials Department of Precision Machinery and Precision Instrumentation University of Science and Technology of China Hefei 230026 China
| | - Cong Zhang
- Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes CAS Key Laboratory of Mechanical Behavior and Design of Materials Department of Precision Machinery and Precision Instrumentation University of Science and Technology of China Hefei 230026 China
| | - Dong Wu
- Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes CAS Key Laboratory of Mechanical Behavior and Design of Materials Department of Precision Machinery and Precision Instrumentation University of Science and Technology of China Hefei 230026 China
| | - Pakming Lau
- CAS Key Laboratory of Brain Function and Disease School of Life Sciences Division of Life Sciences and Medicine University of Science and Technology of China Hefei 230026 China
- Hefei National Laboratory for Physical Sciences at the Microscale University of Science and Technology of China Hefei 230026 China
| | - Yanlei Hu
- Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes CAS Key Laboratory of Mechanical Behavior and Design of Materials Department of Precision Machinery and Precision Instrumentation University of Science and Technology of China Hefei 230026 China
| | - Guoqiang Bi
- CAS Key Laboratory of Brain Function and Disease School of Life Sciences Division of Life Sciences and Medicine University of Science and Technology of China Hefei 230026 China
- Hefei National Laboratory for Physical Sciences at the Microscale University of Science and Technology of China Hefei 230026 China
| | - Weiping Ding
- Center for Biomedical Engineering Department of Electronic Science and Technology University of Science and Technology of China Hefei 230026 China
| | - Jiaru Chu
- Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes CAS Key Laboratory of Mechanical Behavior and Design of Materials Department of Precision Machinery and Precision Instrumentation University of Science and Technology of China Hefei 230026 China
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11
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Hu M, Liu ZB, Bi G. Efficacy and safety of tranexamic acid in orthopaedic trauma surgery: a meta-analysis. Eur Rev Med Pharmacol Sci 2020; 23:11025-11031. [PMID: 31858574 DOI: 10.26355/eurrev_201912_19810] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
OBJECTIVE To systematically review the efficacy and safety of tranexamic acid (TXA) in reducing blood transfusion and total blood loss in patients undergoing orthopaedic trauma surgery. MATERIALS AND METHODS A systematic literature search was performed using PubMed, Embase and Cochrane Library databases. The search time was incepted to February 2019. Two reviewers independently screened literature, extracted data, and assessed risk of bias. Then, meta-analysis was performed using RevMan 5.3. RESULTS A total of 10 studies were included, with 936 patients. The pooled results indicated that TXA group was superior to control group in the total blood loss [MD=-157.61, 95%CI (-250.09, -65.13), p=0.0008], blood transfusion [OR=0.59, 95%CI (0.43, 0.81), p=0.001], and the wound complications [OR=0.59, 95%CI (0.43, 0.81), p=0.001]. There was no significant difference in risk of thromboembolic events [OR=1.27, 95%CI (0.78, 2.12), p=0.35] and the mortality [OR=0.79, 95%CI (0.35, 1.78), p=0.57] between TXA and control group. CONCLUSIONS TXA could effectively reduce blood transfusion, total blood loss, and wound complications in patients undergoing orthopedic trauma surgery. Furthermore, TXA does not significantly increase the incidence of thromboembolic events and mortality. Due to the limited quality of the included studies, more high-quality works are required to verify the above conclusions.
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Affiliation(s)
- M Hu
- Department of Orthopaedics, Ruijin Hospital North, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
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12
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Zhao J, Chen X, Xiong Z, Liu D, Zeng J, Xie C, Zhang Y, Zha ZJ, Bi G, Wu F. Neuronal Population Reconstruction From Ultra-Scale Optical Microscopy Images via Progressive Learning. IEEE Trans Med Imaging 2020; 39:4034-4046. [PMID: 32746145 DOI: 10.1109/tmi.2020.3009148] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Reconstruction of neuronal populations from ultra-scale optical microscopy (OM) images is essential to investigate neuronal circuits and brain mechanisms. The noises, low contrast, huge memory requirement, and high computational cost pose significant challenges in the neuronal population reconstruction. Recently, many studies have been conducted to extract neuron signals using deep neural networks (DNNs). However, training such DNNs usually relies on a huge amount of voxel-wise annotations in OM images, which are expensive in terms of both finance and labor. In this paper, we propose a novel framework for dense neuronal population reconstruction from ultra-scale images. To solve the problem of high cost in obtaining manual annotations for training DNNs, we propose a progressive learning scheme for neuronal population reconstruction (PLNPR) which does not require any manual annotations. Our PLNPR scheme consists of a traditional neuron tracing module and a deep segmentation network that mutually complement and progressively promote each other. To reconstruct dense neuronal populations from a terabyte-sized ultra-scale image, we introduce an automatic framework which adaptively traces neurons block by block and fuses fragmented neurites in overlapped regions continuously and smoothly. We build a dataset "VISoR-40" which consists of 40 large-scale OM image blocks from cortical regions of a mouse. Extensive experimental results on our VISoR-40 dataset and the public BigNeuron dataset demonstrate the effectiveness and superiority of our method on neuronal population reconstruction and single neuron reconstruction. Furthermore, we successfully apply our method to reconstruct dense neuronal populations from an ultra-scale mouse brain slice. The proposed adaptive block propagation and fusion strategies greatly improve the completeness of neurites in dense neuronal population reconstruction.
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13
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Gong X, Mendoza-Halliday D, Ting JT, Kaiser T, Sun X, Bastos AM, Wimmer RD, Guo B, Chen Q, Zhou Y, Pruner M, Wu CWH, Park D, Deisseroth K, Barak B, Boyden ES, Miller EK, Halassa MM, Fu Z, Bi G, Desimone R, Feng G. An Ultra-Sensitive Step-Function Opsin for Minimally Invasive Optogenetic Stimulation in Mice and Macaques. Neuron 2020; 107:197. [PMID: 32645306 DOI: 10.1016/j.neuron.2020.06.018] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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14
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Villette V, Chavarha M, Dimov IK, Bradley J, Pradhan L, Mathieu B, Evans SW, Chamberland S, Shi D, Yang R, Kim BB, Ayon A, Jalil A, St-Pierre F, Schnitzer MJ, Bi G, Toth K, Ding J, Dieudonné S, Lin MZ. Ultrafast Two-Photon Imaging of a High-Gain Voltage Indicator in Awake Behaving Mice. Cell 2020; 179:1590-1608.e23. [PMID: 31835034 DOI: 10.1016/j.cell.2019.11.004] [Citation(s) in RCA: 171] [Impact Index Per Article: 42.8] [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: 11/14/2018] [Revised: 07/08/2019] [Accepted: 10/31/2019] [Indexed: 10/25/2022]
Abstract
Optical interrogation of voltage in deep brain locations with cellular resolution would be immensely useful for understanding how neuronal circuits process information. Here, we report ASAP3, a genetically encoded voltage indicator with 51% fluorescence modulation by physiological voltages, submillisecond activation kinetics, and full responsivity under two-photon excitation. We also introduce an ultrafast local volume excitation (ULoVE) method for kilohertz-rate two-photon sampling in vivo with increased stability and sensitivity. Combining a soma-targeted ASAP3 variant and ULoVE, we show single-trial tracking of spikes and subthreshold events for minutes in deep locations, with subcellular resolution and with repeated sampling over days. In the visual cortex, we use soma-targeted ASAP3 to illustrate cell-type-dependent subthreshold modulation by locomotion. Thus, ASAP3 and ULoVE enable high-speed optical recording of electrical activity in genetically defined neurons at deep locations during awake behavior.
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Affiliation(s)
- Vincent Villette
- Institut de Biologie de l'École Normale Supérieure (IBENS), École Normale Supérieure, CNRS, INSERM, PSL Research University, Paris 75005, France
| | - Mariya Chavarha
- Department of Neurobiology, Stanford University, Stanford, CA 94305, USA; Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | - Ivan K Dimov
- Department of Neurobiology, Stanford University, Stanford, CA 94305, USA; CNC Program, Stanford University, Stanford, CA 94305, USA
| | - Jonathan Bradley
- Institut de Biologie de l'École Normale Supérieure (IBENS), École Normale Supérieure, CNRS, INSERM, PSL Research University, Paris 75005, France
| | - Lagnajeet Pradhan
- Department of Neurobiology, Stanford University, Stanford, CA 94305, USA; CNC Program, Stanford University, Stanford, CA 94305, USA
| | - Benjamin Mathieu
- Institut de Biologie de l'École Normale Supérieure (IBENS), École Normale Supérieure, CNRS, INSERM, PSL Research University, Paris 75005, France
| | - Stephen W Evans
- Department of Neurobiology, Stanford University, Stanford, CA 94305, USA
| | - Simon Chamberland
- Department of Psychiatry and Neuroscience, CERVO Brain Research Centre, Université Laval, Quebec City, QC G1J 2G3, Canada
| | - Dongqing Shi
- Department of Neurobiology, Stanford University, Stanford, CA 94305, USA; School of Life Sciences, University of Science and Technology of China, Hefei 230026, China
| | - Renzhi Yang
- Department of Neurosurgery, Stanford University, Stanford, CA 94305, USA; Biology PhD Program, Stanford University, Stanford, CA 94305, USA
| | - Benjamin B Kim
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | - Annick Ayon
- Institut de Biologie de l'École Normale Supérieure (IBENS), École Normale Supérieure, CNRS, INSERM, PSL Research University, Paris 75005, France
| | - Abdelali Jalil
- Université de Paris, SPPIN - Saints-Pères Paris Institute for the Neurosciences, CNRS, Paris F-75006, France
| | - François St-Pierre
- Department of Neuroscience, Baylor College of Medicine, Houston, TX 77030, USA
| | - Mark J Schnitzer
- CNC Program, Stanford University, Stanford, CA 94305, USA; Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA
| | - Guoqiang Bi
- School of Life Sciences, University of Science and Technology of China, Hefei 230026, China; CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai 20031, China
| | - Katalin Toth
- Department of Psychiatry and Neuroscience, CERVO Brain Research Centre, Université Laval, Quebec City, QC G1J 2G3, Canada
| | - Jun Ding
- Department of Neurosurgery, Stanford University, Stanford, CA 94305, USA
| | - Stéphane Dieudonné
- Institut de Biologie de l'École Normale Supérieure (IBENS), École Normale Supérieure, CNRS, INSERM, PSL Research University, Paris 75005, France.
| | - Michael Z Lin
- Department of Neurobiology, Stanford University, Stanford, CA 94305, USA; Department of Bioengineering, Stanford University, Stanford, CA 94305, USA.
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15
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Gong X, Mendoza-Halliday D, Ting JT, Kaiser T, Sun X, Bastos AM, Wimmer RD, Guo B, Chen Q, Zhou Y, Pruner M, Wu CWH, Park D, Deisseroth K, Barak B, Boyden ES, Miller EK, Halassa MM, Fu Z, Bi G, Desimone R, Feng G. An Ultra-Sensitive Step-Function Opsin for Minimally Invasive Optogenetic Stimulation in Mice and Macaques. Neuron 2020; 107:38-51.e8. [PMID: 32353253 PMCID: PMC7351618 DOI: 10.1016/j.neuron.2020.03.032] [Citation(s) in RCA: 70] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Revised: 02/26/2020] [Accepted: 03/27/2020] [Indexed: 01/27/2023]
Abstract
Optogenetics is among the most widely employed techniques to manipulate neuronal activity. However, a major drawback is the need for invasive implantation of optical fibers. To develop a minimally invasive optogenetic method that overcomes this challenge, we engineered a new step-function opsin with ultra-high light sensitivity (SOUL). We show that SOUL can activate neurons located in deep mouse brain regions via transcranial optical stimulation and elicit behavioral changes in SOUL knock-in mice. Moreover, SOUL can be used to modulate neuronal spiking and induce oscillations reversibly in macaque cortex via optical stimulation from outside the dura. By enabling external light delivery, our new opsin offers a minimally invasive tool for manipulating neuronal activity in rodent and primate models with fewer limitations on the depth and size of target brain regions and may further facilitate the development of minimally invasive optogenetic tools for the treatment of neurological disorders.
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Affiliation(s)
- Xin Gong
- Center for Integrative Imaging, Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, Anhui 230026, China; McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Diego Mendoza-Halliday
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Jonathan T Ting
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Human Cell Types, Allen Institute for Brain Science, Seattle, WA 98109, USA; Department of Physiology and Biophysics, University of Washington, Seattle, WA 98195, USA
| | - Tobias Kaiser
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Xuyun Sun
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; College of Computer Science and Technology, Zhejiang University, Hangzhou, Zhejiang 310027, China
| | - André M Bastos
- The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Ralf D Wimmer
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Baolin Guo
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Qian Chen
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Yang Zhou
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Maxwell Pruner
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Carolyn W-H Wu
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Demian Park
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Karl Deisseroth
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA; Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA; Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA
| | - Boaz Barak
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Edward S Boyden
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Earl K Miller
- The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Michael M Halassa
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Zhanyan Fu
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Guoqiang Bi
- Center for Integrative Imaging, Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, Anhui 230026, China; Chinese Academy of Sciences Center for Excellence in Brain Science and Intelligence Technology, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Robert Desimone
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
| | - Guoping Feng
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
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16
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Tang J, Yuan F, Shen X, Wang Z, Rao M, He Y, Sun Y, Li X, Zhang W, Li Y, Gao B, Qian H, Bi G, Song S, Yang JJ, Wu H. Bridging Biological and Artificial Neural Networks with Emerging Neuromorphic Devices: Fundamentals, Progress, and Challenges. Adv Mater 2019; 31:e1902761. [PMID: 31550405 DOI: 10.1002/adma.201902761] [Citation(s) in RCA: 157] [Impact Index Per Article: 31.4] [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: 04/30/2019] [Revised: 08/16/2019] [Indexed: 05/08/2023]
Abstract
As the research on artificial intelligence booms, there is broad interest in brain-inspired computing using novel neuromorphic devices. The potential of various emerging materials and devices for neuromorphic computing has attracted extensive research efforts, leading to a large number of publications. Going forward, in order to better emulate the brain's functions, its relevant fundamentals, working mechanisms, and resultant behaviors need to be re-visited, better understood, and connected to electronics. A systematic overview of biological and artificial neural systems is given, along with their related critical mechanisms. Recent progress in neuromorphic devices is reviewed and, more importantly, the existing challenges are highlighted to hopefully shed light on future research directions.
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Affiliation(s)
- Jianshi Tang
- Institute of Microelectronics, Beijing Innovation Center for Future Chips (ICFC), Tsinghua University, Beijing, 100084, China
- Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, 100084, China
| | - Fang Yuan
- Institute of Microelectronics, Beijing Innovation Center for Future Chips (ICFC), Tsinghua University, Beijing, 100084, China
| | - Xinke Shen
- Tsinghua Laboratory of Brain and Intelligence and Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, 100084, China
| | - Zhongrui Wang
- Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, 01003, USA
| | - Mingyi Rao
- Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, 01003, USA
| | - Yuanyuan He
- Tsinghua Laboratory of Brain and Intelligence and Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, 100084, China
| | - Yuhao Sun
- Tsinghua Laboratory of Brain and Intelligence and Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, 100084, China
| | - Xinyi Li
- Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, 100084, China
| | - Wenbin Zhang
- Institute of Microelectronics, Beijing Innovation Center for Future Chips (ICFC), Tsinghua University, Beijing, 100084, China
| | - Yijun Li
- Institute of Microelectronics, Beijing Innovation Center for Future Chips (ICFC), Tsinghua University, Beijing, 100084, China
| | - Bin Gao
- Institute of Microelectronics, Beijing Innovation Center for Future Chips (ICFC), Tsinghua University, Beijing, 100084, China
- Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, 100084, China
| | - He Qian
- Institute of Microelectronics, Beijing Innovation Center for Future Chips (ICFC), Tsinghua University, Beijing, 100084, China
- Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, 100084, China
| | - Guoqiang Bi
- School of Life Sciences, University of Science and Technology of China, Hefei, 230027, China
| | - Sen Song
- Tsinghua Laboratory of Brain and Intelligence and Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, 100084, China
| | - J Joshua Yang
- Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, 01003, USA
| | - Huaqiang Wu
- Institute of Microelectronics, Beijing Innovation Center for Future Chips (ICFC), Tsinghua University, Beijing, 100084, China
- Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, 100084, China
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17
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Bi G. Ultrastructural analysis of neuronal synapses using cryo electron tomography and correlative microscopy. IBRO Rep 2019. [DOI: 10.1016/j.ibror.2019.07.037] [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: 11/30/2022] Open
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18
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Wang Y, Yin J, Wang G, Li P, Bi G, Li S, Xia X, Song J, Pei G, Zheng JC. Responsibility and Sustainability in Brain Science, Technology, and Neuroethics in China-a Culture-Oriented Perspective. Neuron 2019; 101:375-379. [PMID: 30731061 DOI: 10.1016/j.neuron.2019.01.023] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2019] [Revised: 01/11/2019] [Accepted: 01/14/2019] [Indexed: 12/17/2022]
Abstract
The China Brain Project is in development. Integrating an ethical framework to identify and assess ethical challenges and plan for solutions is a priority. Here Wang et al. discuss ethical questions emerging from brain research in the context of traditional Chinese culture and juxtapose the legacy of Confucianism with contemporary thinking.
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Affiliation(s)
- Yi Wang
- Center for Translational Neurodegeneration and Regenerative Therapy, Shanghai Tenth People's Hospital affiliated to Tongji University School of Medicine, Shanghai 200072, China; Collaborative Innovation Center for Brain Science, Tongji University, Shanghai 200092, China
| | - Jie Yin
- School of Philosophy & Center for Biomedical Ethics, Fudan University, Shanghai 200433, China
| | - Guoyu Wang
- School of Philosophy & Center for Biomedical Ethics, Fudan University, Shanghai 200433, China
| | - Pingping Li
- China National Center for Biotechnology Development, Beijing 100039, China
| | - Guoqiang Bi
- Hefei National Laboratory for Physical Sciences at Microscale, CAS Key Laboratory of Brain Function and Disease, CAS Center for Excellence in Brain Research and Intelligent Technology, and School of Life Sciences, University of Science and Technology of China., Hefei, Anhui 230026, China
| | - Suning Li
- China National Center for Biotechnology Development, Beijing 100039, China
| | - Xiaohuan Xia
- Center for Translational Neurodegeneration and Regenerative Therapy, Shanghai Tenth People's Hospital affiliated to Tongji University School of Medicine, Shanghai 200072, China; Collaborative Innovation Center for Brain Science, Tongji University, Shanghai 200092, China
| | - Jianren Song
- Collaborative Innovation Center for Brain Science, Tongji University, Shanghai 200092, China; Center of Translational Medicine, Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, China
| | - Gang Pei
- Collaborative Innovation Center for Brain Science, Tongji University, Shanghai 200092, China; School of Life Science and Technology, Tongji University, Shanghai 200092, China; Key Laboratory of Cell Biology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China.
| | - Jialin C Zheng
- Center for Translational Neurodegeneration and Regenerative Therapy, Shanghai Tenth People's Hospital affiliated to Tongji University School of Medicine, Shanghai 200072, China; Collaborative Innovation Center for Brain Science, Tongji University, Shanghai 200092, China; Department of Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, NE 68198-5930, USA; Department of Pathology and Microbiology, University of Nebraska Medical Center, Omaha, NE 68198-5930, USA.
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19
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Li X, Qin L, Li Y, Yu H, Zhang Z, Tao C, Liu Y, Xue Y, Zhang X, Xu Z, Wang Y, Lou H, Tan Z, Saftig P, Chen Z, Xu T, Bi G, Duan S, Gao Z. Presynaptic Endosomal Cathepsin D Regulates the Biogenesis of GABAergic Synaptic Vesicles. Cell Rep 2019; 28:1015-1028.e5. [DOI: 10.1016/j.celrep.2019.06.006] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2017] [Revised: 03/16/2019] [Accepted: 05/31/2019] [Indexed: 12/18/2022] Open
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20
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Chen J, Liu H, Yang L, Jiang J, Bi G, Zhang G, Li G, Chen X. Highly Selective and Efficient Synthesis of 7-Aminoquinolines and Their Applications as Golgi-Localized Probes. ACS Med Chem Lett 2019; 10:954-959. [PMID: 31223454 PMCID: PMC6580540 DOI: 10.1021/acsmedchemlett.9b00118] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Accepted: 05/28/2019] [Indexed: 11/29/2022] Open
Abstract
Quinoline derivatives have extensively been used for both pharmaceutical agents and bioimaging. However, typical synthesis of quinoline derivatives is generally through strong acid/base-catalyzed or metal-catalyzed methods at high temperatures. Here we report a catalyst-free synthesis of 2,4-disubstituted 7-aminoquinolines with high selectivity and good yields via the introduction of a trifluoromethyl group. It is discovered that quinolines containing both amino and trifluoromethyl groups exhibit strong intramolecular charge-transfer fluorescence with large Stokes shifts. We further applied the obtained quinolines to live-cell imaging and found that some of the derivatives can target specifically Golgi apparatus in various cell lines (HeLa, U2OS, and 4T1 cells) in vitro and the colocalization with commercial Golgi marker is retained during the mitosis in HeLa cells. Moreover, the quinoline dyes can also be used for Golgi apparatus imaging with two-photon fluorescence microscopy. These results provide new insights into developing low cost Golgi-localized probes.
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Affiliation(s)
- Jiahui Chen
- School
of Life Sciences, University of Science
and Technology of China, Hefei 230026, China
| | - Huijing Liu
- School
of Life Sciences, University of Science
and Technology of China, Hefei 230026, China
| | - Li Yang
- Hefei
National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei 230026, China
| | - Jun Jiang
- Hefei
National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei 230026, China
| | - Guoqiang Bi
- School
of Life Sciences, University of Science
and Technology of China, Hefei 230026, China
| | - Guoqing Zhang
- Hefei
National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei 230026, China
| | - Guisheng Li
- School
of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China
| | - Xiaofeng Chen
- School
of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China
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21
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Zhou Z, Liu X, Chen S, Zhang Z, Liu Y, Montardy Q, Tang Y, Wei P, Liu N, Li L, Song R, Lai J, He X, Chen C, Bi G, Feng G, Xu F, Wang L. A VTA GABAergic Neural Circuit Mediates Visually Evoked Innate Defensive Responses. Neuron 2019; 103:473-488.e6. [PMID: 31202540 DOI: 10.1016/j.neuron.2019.05.027] [Citation(s) in RCA: 102] [Impact Index Per Article: 20.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Revised: 03/11/2019] [Accepted: 05/15/2019] [Indexed: 12/14/2022]
Abstract
Innate defensive responses are essential for animal survival and are conserved across species. The ventral tegmental area (VTA) plays important roles in learned appetitive and aversive behaviors, but whether it plays a role in mediating or modulating innate defensive responses is currently unknown. We report that VTAGABA+ neurons respond to a looming stimulus. Inhibition of VTAGABA+ neurons reduced looming-evoked defensive flight behavior, and photoactivation of these neurons resulted in defense-like flight behavior. Using viral tracing and electrophysiological recordings, we show that VTAGABA+ neurons receive direct excitatory inputs from the superior colliculus (SC). Furthermore, we show that glutamatergic SC-VTA projections synapse onto VTAGABA+ neurons that project to the central nucleus of the amygdala (CeA) and that the CeA is involved in mediating the defensive behavior. Our findings demonstrate that aerial threat-related visual information is relayed to VTAGABA+ neurons mediating innate behavioral responses, suggesting a more general role of the VTA.
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Affiliation(s)
- Zheng Zhou
- Shenzhen Key Lab of Neuropsychiatric Modulation and Collaborative Innovation Center for Brain Science, Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, CAS Center for Excellence in Brain Science and Intelligence Technology, Brain Cognition and Brain Disease Institute (BCBDI), Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen 518055, China; University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Xuemei Liu
- Shenzhen Key Lab of Neuropsychiatric Modulation and Collaborative Innovation Center for Brain Science, Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, CAS Center for Excellence in Brain Science and Intelligence Technology, Brain Cognition and Brain Disease Institute (BCBDI), Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen 518055, China; University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Shanping Chen
- Shenzhen Key Lab of Neuropsychiatric Modulation and Collaborative Innovation Center for Brain Science, Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, CAS Center for Excellence in Brain Science and Intelligence Technology, Brain Cognition and Brain Disease Institute (BCBDI), Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen 518055, China; University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Zhijian Zhang
- Center for Brain Science, Key Laboratory of Magnetic Resonance in Biological Systems and State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, CAS, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Wuhan 430071, China
| | - Yuanming Liu
- Shenzhen Key Lab of Neuropsychiatric Modulation and Collaborative Innovation Center for Brain Science, Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, CAS Center for Excellence in Brain Science and Intelligence Technology, Brain Cognition and Brain Disease Institute (BCBDI), Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen 518055, China
| | - Quentin Montardy
- Shenzhen Key Lab of Neuropsychiatric Modulation and Collaborative Innovation Center for Brain Science, Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, CAS Center for Excellence in Brain Science and Intelligence Technology, Brain Cognition and Brain Disease Institute (BCBDI), Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen 518055, China
| | - Yongqiang Tang
- Shenzhen Key Lab of Neuropsychiatric Modulation and Collaborative Innovation Center for Brain Science, Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, CAS Center for Excellence in Brain Science and Intelligence Technology, Brain Cognition and Brain Disease Institute (BCBDI), Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen 518055, China; University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Pengfei Wei
- Shenzhen Key Lab of Neuropsychiatric Modulation and Collaborative Innovation Center for Brain Science, Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, CAS Center for Excellence in Brain Science and Intelligence Technology, Brain Cognition and Brain Disease Institute (BCBDI), Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen 518055, China
| | - Nan Liu
- Shenzhen Key Lab of Neuropsychiatric Modulation and Collaborative Innovation Center for Brain Science, Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, CAS Center for Excellence in Brain Science and Intelligence Technology, Brain Cognition and Brain Disease Institute (BCBDI), Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen 518055, China; University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Lei Li
- Shenzhen Key Lab of Neuropsychiatric Modulation and Collaborative Innovation Center for Brain Science, Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, CAS Center for Excellence in Brain Science and Intelligence Technology, Brain Cognition and Brain Disease Institute (BCBDI), Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen 518055, China
| | - Ru Song
- Shenzhen Key Lab of Neuropsychiatric Modulation and Collaborative Innovation Center for Brain Science, Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, CAS Center for Excellence in Brain Science and Intelligence Technology, Brain Cognition and Brain Disease Institute (BCBDI), Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen 518055, China
| | - Juan Lai
- Shenzhen Key Lab of Neuropsychiatric Modulation and Collaborative Innovation Center for Brain Science, Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, CAS Center for Excellence in Brain Science and Intelligence Technology, Brain Cognition and Brain Disease Institute (BCBDI), Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen 518055, China
| | - Xiaobin He
- Center for Brain Science, Key Laboratory of Magnetic Resonance in Biological Systems and State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, CAS, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Wuhan 430071, China
| | - Chen Chen
- Shenzhen Key Lab of Neuropsychiatric Modulation and Collaborative Innovation Center for Brain Science, Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, CAS Center for Excellence in Brain Science and Intelligence Technology, Brain Cognition and Brain Disease Institute (BCBDI), Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen 518055, China
| | - Guoqiang Bi
- School of Life Sciences, University of Science and Technology of China, Hefei, China
| | - Guoping Feng
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Fuqiang Xu
- Center for Brain Science, Key Laboratory of Magnetic Resonance in Biological Systems and State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, CAS, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Wuhan 430071, China.
| | - Liping Wang
- Shenzhen Key Lab of Neuropsychiatric Modulation and Collaborative Innovation Center for Brain Science, Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, CAS Center for Excellence in Brain Science and Intelligence Technology, Brain Cognition and Brain Disease Institute (BCBDI), Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen 518055, China; University of the Chinese Academy of Sciences, Beijing 100049, China.
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22
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Bi G, Zhang C, Dong Y, Jiao HT, Dong L, Zhou HG. [Efficiency Analysis of EX16+10Y Kit on Detection of the Uygur Population in Xinjiang Province]. Fa Yi Xue Za Zhi 2018; 34:154-156. [PMID: 29923381 DOI: 10.3969/j.issn.1004-5619.2018.02.010] [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] [Received: 11/24/2016] [Indexed: 11/18/2022]
Abstract
OBJECTIVES To analyse the efficiency of EX16+10Y kit on the forensic detection of the Uygur in Xinjiang province. METHODS The blood samples were extracted from 4 620 male individuals of Uygur in Xinjiang province, and amplified by EX16+10Y kit. The typing of amplification products was performed by 3130xl genetic analyzer. RESULTS The genotyping graphs of 15 autosomal STR loci and 10 Y-chromosomal STR loci from 4 620 male individuals of Uygur in Xinjiang province were acquired completely. The genotype distribution of 15 autosomal STR loci was consistent with Hardy-Weinberg equilibrium. The heterozygosity, polymorphism information content and discrimination power of STR loci were 0.637-0.838, 0.580-0.860 and 0.811-0.978, respectively. There were 766 haplotypes in 10 Y -chromosomal STR loci. CONCLUSIONS The test results of EX16+10Y kit is accurate and trustworthy, which can simultaneously be used for the individual identification and the screening of paternal pedigree in practical work.
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Affiliation(s)
- G Bi
- Shanghai Key Laboratory of Crime Scene Evidence, Key Laboratory of Forensic Evidence and Science Technology, Ministry of Public Security, Institute of Forensic Science, Shanghai Public Security Bureau, Shanghai 200083, China
| | - C Zhang
- Shanghai Key Laboratory of Crime Scene Evidence, Key Laboratory of Forensic Evidence and Science Technology, Ministry of Public Security, Institute of Forensic Science, Shanghai Public Security Bureau, Shanghai 200083, China
| | - Y Dong
- Shanghai Key Laboratory of Crime Scene Evidence, Key Laboratory of Forensic Evidence and Science Technology, Ministry of Public Security, Institute of Forensic Science, Shanghai Public Security Bureau, Shanghai 200083, China
| | - H T Jiao
- AGCU ScienTech Incorporation, Wuxi 214174, China
| | - L Dong
- Institute of Criminal Science and Technology, Urumqi Public Security Bureau, Urumqi 830063, China
| | - H G Zhou
- Shanghai Key Laboratory of Crime Scene Evidence, Key Laboratory of Forensic Evidence and Science Technology, Ministry of Public Security, Institute of Forensic Science, Shanghai Public Security Bureau, Shanghai 200083, China
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23
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Yuste R, Goering S, Arcas BAY, Bi G, Carmena JM, Carter A, Fins JJ, Friesen P, Gallant J, Huggins JE, Illes J, Kellmeyer P, Klein E, Marblestone A, Mitchell C, Parens E, Pham M, Rubel A, Sadato N, Sullivan LS, Teicher M, Wasserman D, Wexler A, Whittaker M, Wolpaw J. Four ethical priorities for neurotechnologies and AI. Nature 2017; 551:159-163. [PMID: 29120438 PMCID: PMC8021272 DOI: 10.1038/551159a] [Citation(s) in RCA: 121] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Artificial intelligence and brain-computer interfaces must respect and preserve people’s privacy, identity, agency and equality, say Rafael Yuste, Sara Goering and colleagues.
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Affiliation(s)
- Rafael Yuste
- Columbia University, New York City, New York, USA
| | | | | | - Guoqiang Bi
- University of Science and Technology of China, Hefei, China
| | | | | | | | | | | | | | - Judy Illes
- University of British Columbia, Vancouver, Canada
| | | | - Eran Klein
- University of Washington, Seattle; and Oregon Health & Science University, Portland, USA
| | - Adam Marblestone
- Kernel, Los Angeles, California; and Massachusetts Institute of Technology Media Lab, Cambridge, Massachusetts, USA
| | | | - Erik Parens
- The Hastings Center, Garrison, New York, USA
| | | | - Alan Rubel
- University of Wisconsin-Madison, Wisconsin, USA
| | - Norihiro Sadato
- the National Institute for Physiological Sciences, Okazaki, Aichi, Japan
| | | | | | | | - Anna Wexler
- University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | | | - Jonathan Wolpaw
- the National Center for Adaptive Neurotechnologies, Albany, New York
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24
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Abstract
A small fluorescence ratiometric probe consisting of a single dye species, N-methyl-6-hydroxyquinolinium (MHQ), and coupled enzymatic substrates, exhibits a dramatic colour change (deep blue to red) and possesses a huge response ratio (over 2000 fold) upon specific recognition of target enzymes. Such dramatic responses are attributed to the excited-state proton transfer processes of MHQ molecules in water. Here the detection of β-galactosidase and porcine pancreatic lipase is successfully demonstrated and this class of molecules has the potential to be developed as a "naked-eye" probe in vitro.
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Affiliation(s)
- Pan Wang
- Heifei National Laboratory for Physical Sciences at the Microscale and Department of Polymer Science and Engieering, University of Science and Technology of China, 230026 Hefei, P. R. China.
| | - Jiajun Du
- Heifei National Laboratory for Physical Sciences at the Microscale and Department of Polymer Science and Engieering, University of Science and Technology of China, 230026 Hefei, P. R. China.
| | - Huijing Liu
- CAS Key Laboratory of Brain Function and Disease and Department of Neurobiology and Biophysics, School of Life Sciences, University of Science and Technology of China, 230026 Hefei, P. R. China
| | - Guoqiang Bi
- CAS Key Laboratory of Brain Function and Disease and Department of Neurobiology and Biophysics, School of Life Sciences, University of Science and Technology of China, 230026 Hefei, P. R. China
| | - Guoqing Zhang
- Heifei National Laboratory for Physical Sciences at the Microscale and Department of Polymer Science and Engieering, University of Science and Technology of China, 230026 Hefei, P. R. China.
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25
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Li J, He Q, Liu Y, Liu S, Tang S, Li C, Sun D, Li X, Zhou M, Zhu P, Bi G, Zhou Z, Zheng JS, Tian C. Chemical Synthesis of K34-Ubiquitylated H2B for Nucleosome Reconstitution and Single-Particle Cryo-Electron Microscopy Structural Analysis. Chembiochem 2016; 18:176-180. [PMID: 27976477 DOI: 10.1002/cbic.201600551] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [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: 10/21/2016] [Indexed: 12/14/2022]
Abstract
Post-translational modifications (e.g., ubiquitylation) of histones play important roles in dynamic regulation of chromatin. Histone ubiquitylation has been speculated to directly influence the structure and dynamics of nucleosomes. However, structural information for ubiquitylated nucleosomes is still lacking. Here we report an alternative strategy for total chemical synthesis of homogenous histone H2B-K34-ubiquitylation (H2B-K34Ub) by using acid-cleavable auxiliary-mediated ligation of peptide hydrazides for site-specific ubiquitylation. Synthetic H2B-K34Ub was efficiently incorporated into nucleosomes and further used for single-particle cryo-electron microscopy (cryo-EM) imaging. The cryo-EM structure of the nucleosome containing H2B-K34Ub suggests that two flexible ubiquitin domains protrude between the DNA chains of the nucleosomes. The DNA chains around the H2B-K34 sites shift and provide more space for ubiquitin to protrude. These analyses indicated local and slight structural influences on the nucleosome with ubiquitylation at the H2B-K34 site.
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Affiliation(s)
- Jiabin Li
- Key Laboratory of Bioorganic Phosphorus Chemistry, Chemical Biology, Ministry of Education), Department of Chemistry and School of Life Sciences, Tsinghua University, Beijing, 100084, China.,Hefei National Laboratory of Physical Sciences at MicroScale and, School of Life Sciences, University of Science and Technology of China and, High Magnetic Field Laboratory, Chinese Academy of Sciences, Hefei, 230027, China
| | - Qiaoqiao He
- Key Laboratory of Bioorganic Phosphorus Chemistry, Chemical Biology, Ministry of Education), Department of Chemistry and School of Life Sciences, Tsinghua University, Beijing, 100084, China
| | - Yuntao Liu
- Hefei National Laboratory of Physical Sciences at MicroScale and, School of Life Sciences, University of Science and Technology of China and, High Magnetic Field Laboratory, Chinese Academy of Sciences, Hefei, 230027, China
| | - Sanling Liu
- Hefei National Laboratory of Physical Sciences at MicroScale and, School of Life Sciences, University of Science and Technology of China and, High Magnetic Field Laboratory, Chinese Academy of Sciences, Hefei, 230027, China
| | - Shan Tang
- Key Laboratory of Bioorganic Phosphorus Chemistry, Chemical Biology, Ministry of Education), Department of Chemistry and School of Life Sciences, Tsinghua University, Beijing, 100084, China
| | - Chengmin Li
- Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China
| | - Demeng Sun
- Hefei National Laboratory of Physical Sciences at MicroScale and, School of Life Sciences, University of Science and Technology of China and, High Magnetic Field Laboratory, Chinese Academy of Sciences, Hefei, 230027, China
| | - Xiaorun Li
- Hefei National Laboratory of Physical Sciences at MicroScale and, School of Life Sciences, University of Science and Technology of China and, High Magnetic Field Laboratory, Chinese Academy of Sciences, Hefei, 230027, China
| | - Min Zhou
- Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China
| | - Ping Zhu
- Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China
| | - Guoqiang Bi
- Hefei National Laboratory of Physical Sciences at MicroScale and, School of Life Sciences, University of Science and Technology of China and, High Magnetic Field Laboratory, Chinese Academy of Sciences, Hefei, 230027, China
| | - Zhenghong Zhou
- Hefei National Laboratory of Physical Sciences at MicroScale and, School of Life Sciences, University of Science and Technology of China and, High Magnetic Field Laboratory, Chinese Academy of Sciences, Hefei, 230027, China.,Department of Microbiology, Immunology and Molecular Genetics and, California NanoSystems Systems, University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - Ji-Shen Zheng
- Hefei National Laboratory of Physical Sciences at MicroScale and, School of Life Sciences, University of Science and Technology of China and, High Magnetic Field Laboratory, Chinese Academy of Sciences, Hefei, 230027, China
| | - Changlin Tian
- Hefei National Laboratory of Physical Sciences at MicroScale and, School of Life Sciences, University of Science and Technology of China and, High Magnetic Field Laboratory, Chinese Academy of Sciences, Hefei, 230027, China
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Chen X, Xu C, Wang T, Zhou C, Du J, Wang Z, Xu H, Xie T, Bi G, Jiang J, Zhang X, Demas JN, Trindle CO, Luo Y, Zhang G. Versatile Room-Temperature-Phosphorescent Materials Prepared from N-Substituted Naphthalimides: Emission Enhancement and Chemical Conjugation. Angew Chem Int Ed Engl 2016; 55:9872-6. [PMID: 27385550 DOI: 10.1002/anie.201601252] [Citation(s) in RCA: 203] [Impact Index Per Article: 25.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2016] [Revised: 03/29/2016] [Indexed: 11/10/2022]
Abstract
Purely organic materials with room-temperature phosphorescence (RTP) are currently under intense investigation because of their potential applications in sensing, imaging, and displaying. Inspired by certain organometallic systems, where ligand-localized phosphorescence ((3) π-π*) is mediated by ligand-to-metal or metal-to-ligand charge transfer (CT) states, we now show that donor-to-acceptor CT states from the same organic molecule can also mediate π-localized RTP. In the model system of N-substituted naphthalimides (NNIs), the relatively large energy gap between the NNI-localized (1) π-π* and (3) π-π* states of the aromatic ring can be bridged by intramolecular CT states when the NNI is chemically modified with an electron donor. These NNI-based RTP materials can be easily conjugated to both synthetic and natural macromolecules, which can be used for RTP microscopy.
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Affiliation(s)
- Xiaofeng Chen
- Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, 230026, Hefei, P.R. China.,Department of Polymer Science and Engineering, University of Science and Technology of China, 230026, Hefei, P.R. China
| | - Cheng Xu
- Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, 230026, Hefei, P.R. China
| | - Tao Wang
- Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, 230026, Hefei, P.R. China
| | - Cao Zhou
- Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, 230026, Hefei, P.R. China
| | - Jiajun Du
- Department of Polymer Science and Engineering, University of Science and Technology of China, 230026, Hefei, P.R. China
| | - Zhongping Wang
- Physics Experiment Teaching Center, University of Science and Technology of China, 230026, Hefei, P.R. China
| | - Hangxun Xu
- Department of Polymer Science and Engineering, University of Science and Technology of China, 230026, Hefei, P.R. China
| | - Tongqing Xie
- Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, 230026, Hefei, P.R. China
| | - Guoqiang Bi
- Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, 230026, Hefei, P.R. China
| | - Jun Jiang
- Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, 230026, Hefei, P.R. China
| | - Xuepeng Zhang
- Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, 230026, Hefei, P.R. China.
| | - James N Demas
- Department of Chemistry, University of Virginia, Charlottesville, VA, 22903, USA
| | - Carl O Trindle
- Department of Chemistry, University of Virginia, Charlottesville, VA, 22903, USA
| | - Yi Luo
- Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, 230026, Hefei, P.R. China
| | - Guoqing Zhang
- Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, 230026, Hefei, P.R. China.
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Chen X, Xu C, Wang T, Zhou C, Du J, Wang Z, Xu H, Xie T, Bi G, Jiang J, Zhang X, Demas JN, Trindle CO, Luo Y, Zhang G. Versatile Room-Temperature-Phosphorescent Materials Prepared from N-Substituted Naphthalimides: Emission Enhancement and Chemical Conjugation. Angew Chem Int Ed Engl 2016. [DOI: 10.1002/ange.201601252] [Citation(s) in RCA: 66] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Xiaofeng Chen
- Hefei National Laboratory for Physical Sciences at the Microscale; University of Science and Technology of China; 230026 Hefei P.R. China
- Department of Polymer Science and Engineering; University of Science and Technology of China; 230026 Hefei P.R. China
| | - Cheng Xu
- Hefei National Laboratory for Physical Sciences at the Microscale; University of Science and Technology of China; 230026 Hefei P.R. China
| | - Tao Wang
- Hefei National Laboratory for Physical Sciences at the Microscale; University of Science and Technology of China; 230026 Hefei P.R. China
| | - Cao Zhou
- Hefei National Laboratory for Physical Sciences at the Microscale; University of Science and Technology of China; 230026 Hefei P.R. China
| | - Jiajun Du
- Department of Polymer Science and Engineering; University of Science and Technology of China; 230026 Hefei P.R. China
| | - Zhongping Wang
- Physics Experiment Teaching Center; University of Science and Technology of China; 230026 Hefei P.R. China
| | - Hangxun Xu
- Department of Polymer Science and Engineering; University of Science and Technology of China; 230026 Hefei P.R. China
| | - Tongqing Xie
- Hefei National Laboratory for Physical Sciences at the Microscale; University of Science and Technology of China; 230026 Hefei P.R. China
| | - Guoqiang Bi
- Hefei National Laboratory for Physical Sciences at the Microscale; University of Science and Technology of China; 230026 Hefei P.R. China
| | - Jun Jiang
- Hefei National Laboratory for Physical Sciences at the Microscale; University of Science and Technology of China; 230026 Hefei P.R. China
| | - Xuepeng Zhang
- Hefei National Laboratory for Physical Sciences at the Microscale; University of Science and Technology of China; 230026 Hefei P.R. China
| | - James N. Demas
- Department of Chemistry; University of Virginia; Charlottesville VA 22903 USA
| | - Carl O. Trindle
- Department of Chemistry; University of Virginia; Charlottesville VA 22903 USA
| | - Yi Luo
- Hefei National Laboratory for Physical Sciences at the Microscale; University of Science and Technology of China; 230026 Hefei P.R. China
| | - Guoqing Zhang
- Hefei National Laboratory for Physical Sciences at the Microscale; University of Science and Technology of China; 230026 Hefei P.R. China
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Wang X, Ma Z, Fu Z, Gao S, Yang L, Jin Y, Sun H, Wang C, Fan W, Chen L, Zheng QY, Bi G, Ma CL. Hydroxysafflor Yellow A Protects Neurons From Excitotoxic Death through Inhibition of NMDARs. ASN Neuro 2016; 8:8/2/1759091416642345. [PMID: 27067428 PMCID: PMC4828664 DOI: 10.1177/1759091416642345] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [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: 07/18/2015] [Accepted: 12/30/2015] [Indexed: 11/15/2022] Open
Abstract
Excessive glutamate release causes overactivation of N-methyl d-aspartate receptors (NMDARs), leading to excitatory neuronal damage in cerebral ischemia. Hydroxysafflor yellow A (HSYA), a compound extracted from Carthamus tinctorius L., has been reported to exert a neuroprotective effect in many pathological conditions, including brain ischemia. However, the underlying mechanism of HSYA's effect on neurons remains elusive. In the present study, we conducted experiments using patch-clamp recording of mouse hippocampal slices. In addition, we performed Ca2+ imaging, Western blots, as well as mitochondrial-targeted circularly permuted yellow fluorescent protein transfection into cultured hippocampal neurons in order to decipher the physiological mechanism underlying HSYA's neuroprotective effect. Through the electrophysiology experiments, we found that HSYA inhibited NMDAR-mediated excitatory postsynaptic currents without affecting α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptor and γ-aminobutyric acid A-type receptor-mediated currents. This inhibitory effect of HSYA on NMDARs was concentration dependent. HSYA did not show any preferential inhibition of either N-methyl d-aspartate receptor subtype 2A- or N-methyl d-aspartate receptor subtype 2B- subunit-containing NMDARs. Additionally, HSYA exhibits a facilitatory effect on paired NMDAR-mediated excitatory postsynaptic currents. Furthermore, HSYA reduced the magnitude of NMDAR-mediated membrane depolarization currents evoked by oxygen-glucose deprivation, and suppressed oxygen-glucose deprivation–induced and NMDAR-dependent ischemic long-term potentiation, which is believed to cause severe reperfusion damage after ischemia. Through the molecular biology experiments, we found that HSYA inhibited the NMDA-induced and NMDAR-mediated intracellular Ca2+ concentration increase in hippocampal cultures, reduced apoptotic and necrotic cell deaths, and prevented mitochondrial damage. Together, our data demonstrate for the first time that HSYA protects hippocampal neurons from excitotoxic damage through the inhibition of NMDARs. This novel finding indicates that HSYA may be a promising pharmacological candidate for the treatment of brain ischemia.
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Affiliation(s)
- Xingtao Wang
- Department of Physiology, Binzhou Medical University, Yantai, Shandong, China "Brain stroke" Key Lab of Shandong Health Administration Institute, Binzhou Medical University, Yantai, Shandong, China Department of Internal Neurology, Affiliated Hospital of Binzhou Medical University, Binzhou, Shandong, China
| | - Zhiyuan Ma
- School of Public Economics and Administration, Shanghai University of Finance and Economics, Shanghai, China
| | - Zhongxiao Fu
- CAS Key Laboratory of Brain Function and Diseases, School of Life Science, University of Science and Technology of China, Hefei, Anhui, China
| | - Su Gao
- Department of Internal Neurology, Affiliated Hospital of Binzhou Medical University, Binzhou, Shandong, China
| | - Liu Yang
- Department of Physiology, Binzhou Medical University, Yantai, Shandong, China "Brain stroke" Key Lab of Shandong Health Administration Institute, Binzhou Medical University, Yantai, Shandong, China
| | - Yan Jin
- CAS Key Laboratory of Brain Function and Diseases, School of Life Science, University of Science and Technology of China, Hefei, Anhui, China
| | - Hui Sun
- Department of Physiology, Binzhou Medical University, Yantai, Shandong, China "Brain stroke" Key Lab of Shandong Health Administration Institute, Binzhou Medical University, Yantai, Shandong, China
| | - Chaoyun Wang
- Department of Pharmacology, Binzhou Medical University, Yantai, Shandong, China
| | - Weiming Fan
- Department of Internal Neurology, Affiliated Hospital of Binzhou Medical University, Binzhou, Shandong, China
| | - Lin Chen
- CAS Key Laboratory of Brain Function and Diseases, School of Life Science, University of Science and Technology of China, Hefei, Anhui, China
| | - Qing-Yin Zheng
- Department of Internal Neurology, Affiliated Hospital of Binzhou Medical University, Binzhou, Shandong, China
| | - Guoqiang Bi
- CAS Key Laboratory of Brain Function and Diseases, School of Life Science, University of Science and Technology of China, Hefei, Anhui, China
| | - Chun-Lei Ma
- Department of Physiology, Binzhou Medical University, Yantai, Shandong, China "Brain stroke" Key Lab of Shandong Health Administration Institute, Binzhou Medical University, Yantai, Shandong, China
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Xie S, Lu L, Liu L, Bi G, Zheng L. Progranulin and short-term outcome in patients with acute ischaemic stroke. Eur J Neurol 2016; 23:648-55. [PMID: 26728399 DOI: 10.1111/ene.12920] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [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: 02/04/2015] [Accepted: 10/01/2015] [Indexed: 11/28/2022]
Abstract
BACKGROUND AND PURPOSE Stroke is a leading cause of death and severe disability worldwide. Serum biomarkers play a critical role in the assessment of the severity and prognosis in stroke patients. METHODS In this prospective cohort study, the measurement of serum progranulin (PGRN) was conducted in 316 participants, including 216 patients with an identified diagnosis of acute ischaemic stroke and 100 normal control subjects. The primary end-point was defined as all-cause mortality for a short-term follow-up of 6 months. Adverse functional outcome (modified Rankin Scale score ≥3) was considered as the secondary end-point. RESULTS The median value of serum PGRN for patients with acute ischaemic stroke was 64.2 ng/ml (interquartile range 54.6-73.7), which was significantly higher than the control group [59.7 (54.4-64.4) ng/ml; P < 0.001]. Multivariable linear regression suggested that PGRN levels were significantly correlated with body mass index, alcohol consumption, fasting blood glucose, total cholesterol, National Institutes of Health Stroke Scale (NIHSS) score and high-density lipoprotein cholesterol. Serum PGRN concentrations were independently associated with increased risks of all-cause mortality and adverse functional outcome after adjustment for clinical variables. In Cox proportional hazards models, PGRN levels were associated with the risk of mortality (hazard ratio 1.090, 95% confidence interval 1.033-1.150, P = 0.002). The net reclassification improvement of the model with added PGRN was 0.1902 (P = 0.0234) after adjustment for the variables in the Cox regression model for predicting all-cause mortality, and the integrated discrimination improvement was 0.1052 (P < 0.001). CONCLUSIONS Serum PGRN levels independently predicted all-cause mortality and adverse functional outcome in the short term in stroke patients. The discriminative power was improved by PGRN on the basis of NIHSS score.
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Affiliation(s)
- S Xie
- Department of Clinical Laboratory, Shengjing Hospital of China Medical University, Shenyang, China
| | - L Lu
- Department of Clinical Laboratory, Shengjing Hospital of China Medical University, Shenyang, China
| | - L Liu
- Department of Clinical Laboratory, Shengjing Hospital of China Medical University, Shenyang, China
| | - G Bi
- Department of Neurology, Shengjing Hospital of China Medical University, Shenyang, China
| | - L Zheng
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
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Chai Y, Bi G, Wang L, Xu F, Wu R, Zhou X, Qiu B, Lei H, Zhang Y, Gao JH. Direct detection of optogenetically evoked oscillatory neuronal electrical activity in rats using SLOE sequence. Neuroimage 2015; 125:533-543. [PMID: 26518631 DOI: 10.1016/j.neuroimage.2015.10.058] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2015] [Revised: 10/18/2015] [Accepted: 10/20/2015] [Indexed: 11/28/2022] Open
Abstract
The direct detection of neuronal electrical activity is one of the most challenging goals in non-BOLD fMRI research. Previous work has demonstrated its feasibility in phantom and cell culture studies, but attempts in in vivo studies remain few and far between. Most recent in vivo studies used T2*-weighted sequences to directly detect neuronal electrical activity evoked by sensory stimulus. As neuronal electrical signal is usually comprised of a series of spectrally distributed oscillatory waveforms rather than being a direct current, it is most likely to be detected using oscillatory current sensitive sequences. In this study, we explored the potential of using the spin-lock oscillatory excitation (SLOE) sequence with spiral readout to directly detect optogenetically evoked oscillatory neuronal electrical activity, whose main spectral component can be manipulated artificially to match the resonance frequency of spin-lock RF field. In addition, experiments using the stimulus-induced rotary saturation (SIRS) sequence with spiral readout were also performed. Electrophysiological recording and MRI data acquisition were conducted on separate animals. Robust optogenetically evoked oscillatory LFP signals were observed and significant BOLD signals were acquired with the GE-EPI sequence before and after the whole SLOE and SIRS acquisitions, but no significant neuronal current MRI (ncMRI) signal changes were detected. These results indicate that the sensitivity of oscillatory current sensitive sequences needs to be further improved for direct detection of neuronal electrical activity.
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Affiliation(s)
- Yuhui Chai
- Beijing City Key Lab for Medical Physics and Engineering, Institute of Heavy Ion Physics, School of Physics, Peking University, Beijing, People's Republic of China; Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, People's Republic of China
| | - Guoqiang Bi
- School of Life Sciences, University of Science and Technology of China, Hefei, People's Republic of China
| | - Liping Wang
- Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, People's Republic of China
| | - Fuqiang Xu
- Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan, People's Republic of China; CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, People's Republic of China
| | - Ruiqi Wu
- Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan, People's Republic of China; CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, People's Republic of China
| | - Xin Zhou
- Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan, People's Republic of China
| | - Bensheng Qiu
- School of Information Science and Technology, University of Science and Technology of China, Hefei, People's Republic of China
| | - Hao Lei
- Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan, People's Republic of China
| | - Yaoyu Zhang
- Beijing City Key Lab for Medical Physics and Engineering, Institute of Heavy Ion Physics, School of Physics, Peking University, Beijing, People's Republic of China; Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, People's Republic of China
| | - Jia-Hong Gao
- Beijing City Key Lab for Medical Physics and Engineering, Institute of Heavy Ion Physics, School of Physics, Peking University, Beijing, People's Republic of China; Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, People's Republic of China; McGovern Institute for Brain Research, Peking University, Beijing, People's Republic of China.
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Wei P, Liu N, Zhang Z, Liu X, Tang Y, He X, Wu B, Zhou Z, Liu Y, Li J, Zhang Y, Zhou X, Xu L, Chen L, Bi G, Hu X, Xu F, Wang L. Corrigendum: Processing of visually evoked innate fear by a non-canonical thalamic pathway. Nat Commun 2015; 6:8228. [PMID: 26293832 PMCID: PMC4560820 DOI: 10.1038/ncomms9228] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
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Zhang X, Ge P, Yu X, Brannan JM, Bi G, Zhang Q, Schein S, Zhou ZH. Cryo-EM structure of the mature dengue virus at 3.5-Å resolution. Nat Struct Mol Biol 2012; 20:105-10. [PMID: 23241927 PMCID: PMC3593067 DOI: 10.1038/nsmb.2463] [Citation(s) in RCA: 312] [Impact Index Per Article: 26.0] [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: 05/23/2012] [Accepted: 11/06/2012] [Indexed: 01/01/2023]
Abstract
Regulated by pH, membrane-anchored proteins E and M play a series of roles during dengue virus maturation and membrane fusion. Our atomic model of the whole virion from cryo electron microscopy at 3.5Å resolution reveals that in the mature virus at neutral extracellular pH, the N-terminal 20-amino acid segment of M (involving three pH-sensing histidines) latches and thereby prevents spring-loaded E fusion protein from prematurely exposing its fusion peptide. This M latch was fastened at an earlier stage, during maturation at acid pH in the trans-Golgi network. At a later stage, to initiate infection in response to acid pH in the late endosome, M releases the latch and exposes the fusion peptide. Thus, M serves as a multistep chaperone of E to control the conformational changes accompanying maturation and infection. These pH-sensitive interactions could serve as targets for drug discovery.
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Affiliation(s)
- Xiaokang Zhang
- Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles-UCLA, Los Angeles, California, USA
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Abstract
Neuronal synapses are functional nodes in neural circuits. Their organization and activity define an individual's level of intelligence, emotional state and mental health. Changes in the structure and efficacy of synapses are the biological basis of learning and memory. However, investigation of the molecular architecture of synapses has been impeded by the lack of efficient techniques with sufficient resolution. Recent developments in state-of-the-art nano-imaging techniques have opened up a new window for dissecting the molecular organization of neuronal synapses with unprecedented resolution. Here, we review recent technological advances in nano-imaging techniques as well as their applications to the study of synapses, emphasizing super-resolution light microscopy and 3-dimensional electron tomography.
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Affiliation(s)
- Changlu Tao
- Center for Integrative Imaging, Hefei National Laboratory for Physical Sciences at the Microscale and School of Life Sciences, University of Science and Technology of China, Hefei 230027, China
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Gursu M, Aydin Z, Karadag S, Uzun S, Ogul S, Kiris A, Doventas Y, Koldas M, Ozturk S, Kazancioglu R, Mandreoli M, Bellasi A, Baldrati L, Corradini M, Rigotti A, Russo G, David S, Malmusi G, DiNicolo' P, Orsi C, Zambianchi L, Caruso F, Poisetti P, Fabbri A, Santoro A, Barton Pai A, Grabe D, Eisele G, Hutchison CA, Bevins A, Lukacik P, Hughes RG, Pratt G, Viana JL, Bishop NC, Kosmadakis G, Bevington A, Clapp EL, Feehally J, Smith AC, Joki N, Hase H, Tanaka Y, Iwasaki M, Yamaka T, Shigematsu T, Dou L, Gondouin B, Cerini C, Duval-Sabatier A, Poitevin S, Dignat-George F, Burtey S, Brunet P, Carrasco F, Salvador F, Origaca C, Nogueira E, Silva N, Silva A, Sikole A, Trajceska L, Selim G, Gelev S, Dzekova P, Amitov V, Arsov S, Dalboni M, Cruz E, Manfredi S, Mouro M, Quinto M, Grabulosa C, Batista M, Cendoroglo M, Hirayama A, Matsui H, Nagano Y, Ueda A, Aoyagi K, Owada S, Schepers E, Barreto D, Liabeuf S, Glorieux G, Eloot S, Barreto F, Massy Z, Vanholder R, Secara IF, Oleniuc M, Nistor I, Onofriescu M, Covic A, Aguerrevere S, Granada M, Bayes B, Pastor M, Sancho A, Bonal J, Canas L, Lauzurica R, Teixido J, Troya M, Romero R, Capitanini A, D'Alessandro C, Ferretti V, Petrone I, Pasquariello G, Cupisti A, Parastayeva MM, Berseneva ON, Kucher AG, Ivanova GT, Smirnov AV, Kayukov IG, Kayabasi H, Esmer S, Yilmaz Z, Kadiroglu AK, Yilmaz ME, Radic J, Kovacic V, Radic M, Ljutic D, Sain M, Karakan S, Sezer S, Tutal E, Ozdemir Acar FN, Bi G, Xing C, Chen R, Romero-Garcia A, Jacobo-Arias F, Martin del Campo F, Gonzalez-Espinoza L, Pazarin L, Cueto-Manzano AM, Panagoutsos S, Kriki P, Mourvati E, Tziakas D, Chalikias G, Stakos D, Apostolakis S, Tsigalou C, Gioka T, Konstantinides S, Vargemezis V, Nascimento M, Hayashi S, Seeberger A, Yamamoto T, Qureshi AR, Lind B, Riella M, Brodin LA, Lindholm B, Meier P, Menne J, Kruger K, Mooren FC, Weissmann N, Seimetz M, Haller H, Gusev E, Solomatina L, Zhuravleva J, Striker G, Uribarri J, Cai W, Goodman S, Pyzik R, Grosjean F, Vlassara H, So A, Gimona A, Kiechle T, Shpilsky A, Schlesinger N. Malnutrition & inflammation in CKD 1-5. Clin Kidney J 2011. [DOI: 10.1093/ndtplus/4.s2.33] [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: 11/14/2022] Open
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Bilgic A, Sezer S, Ozdemir N, Kurita N, Hosokawa N, Nomura S, Maeda Y, Uchihara H, Fukuhara S, Gascon LD, Karohl C, Smith AL, Wilson RO, Raggi P, Ignace S, Loignon RC, Couture V, Marquis K, Utescu M, Lariviere R, Agharazii M, Zahalkova J, Marsova M, Nikorjakova I, vestak M, amboch K, Bellasi A, Gamboa C, Ferramosca E, Ratti C, Block G, Muntner P, Raggi P, Makino J, Makino K, Ito T, Kato S, Yuzawa Y, Yasuda Y, Tsuruta Y, Itoh A, Maruyama S, Karasavvidou D, Kalaitzidis R, Spanos G, Pappas K, Pappas E, Kountouris S, Tatsioni A, Siamopoulos K, Staffolani E, Galli D, Nicolais R, Magliano G, Forleo GB, Santini L, Romano V, Sgueglia M, Romeo F, Di Daniele N, Freercks R, Swanepoel C, Carrara H, Raggi P, Rayner B, Freercks R, Swanepoel C, Carrara H, Raggi P, Rayner B, Fedak D, Kuzniewski M, Galicka-Latala D, Kusnierz-Cabala B, Dumnicka P, Pasowicz M, Solnica B, Sulowicz W, Kuzniewski M, Fedak D, Kapusta M, Kusnierz-Cabala B, Janda K, Pasowicz M, Solnica B, Sulowicz W, Ozcan M, Calayoglu R, Sengul S, Ensari A, Hazinedaroglu S, Tuzuner A, Nergizoglu G, Erbay B, Keven K, Gross T, Floege J, Leon S, Markus K, Vincent B, Ulrich G, Zitt E, Koenig M, Vychytil A, Auinger M, Wallner M, Lingenhel G, Schilcher G, Lhotta K, Csiky B, Toth G, Sulyok E, Melegh B, Vas T, Wittmann I, Martens-Lobenhoffer J, Awiszus F, Bode-Boger SM, Staffolani E, Nicolais R, Miani N, Galli D, Borzacchi MS, Cipriani S, Sturniolo A, Di Daniele N, Abouseif K, Bichari W, Elewa U, Buimistriuc LD, Badarau S, Stefan A, Leanca E, Covic A, Kimura H, Mukai H, Miura S, Maeda A, Takeda K, Sikole A, Trajceska L, Selim G, Amitov V, Dzekova P, Gelev S, Severova G, Trajceski T, Abe Y, Watanabe M, Ito K, Ogahara S, Nakashima H, Saito T, Oleniuc M, Secara IF, Nistor I, Onofriescu M, Covic A, Papagianni A, Kasimatis E, Stavrinou E, Pliakos K, Spartalis M, Dimitriadis C, Belechri AM, Giamalis P, Economidou D, Efstratiadis G, Memmos D, Chen R, Xing C, Bi G, Ito S, Oyake N, Tanabe K, Shimada T, Capurro F, De Mauri A, Brustia M, Navino C, David P, De Leo M, Usvyat L, Bayh I, Etter M, Lam M, Levin NW, Marcelli D, Raimann JG, Schuh E, Thijssen S, Kotanko P, Sipahioglu M, Unal A, Kocyigit I, Karakurt M, Oguzhan N, Cilan H, Kavuncu F, Tokgoz B, Oymak O, Utas C, Canas L, Galan A, Ferrer E, Filella A, Fernandez M, Bayes B, Bonet J, Bonal J, Romero R, Amore A, Puccinelli MP, Petrillo G, Albiani R, Bonaudo R, Camilla R, Steckiph D, Grandi F, Bracco G, Coppo R, Chen X, Zhu P, Chen Y, Xu Y, Chen N, Tatar E, Kircelli F, Asci G, Carrero JJ, Gungor O, Demirci MS, Ozkahya M, Toz H, Ok E, Buzdugan E, Condor A, Crisan S, Radulescu D, Lucaciu D, Hakemi MS, Nassiri AA, Asadzadeh R, Faizei AM, Molsted S, Andersen JL, Eidemak I, Harrison AP, Rodriguez Gomez MA, Fernandez-Reyes Luis MJ, Molina Ordas A, Heras Benito M, Sanchez Hernandez R, Mortazavi Najafabadi M, Moinzadeh F, Saadatnia SM, Shahidi S, Davarpanah A, Farajzadegan Z, Rodriguez-Reimundes E, Rognant N, Jolivot A, Abdeljaouad A, Pelletier S, Juillard L, Laville M, Fouque D, Santoro A, Zuccala A, Cagnoli L, Bolasco PG, Panzetta O, Mercadal L, Fessy H, London G, Severi S, Domini R, Grandi F, Corsi C. Cardiovascular complications in CKD 5D (2). Clin Kidney J 2011. [DOI: 10.1093/ndtplus/4.s2.55] [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: 11/14/2022] Open
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Jiang G, Bi K, Tang T, Ren H, Wang Y, Wen P, Liu J, Bi G. 201 The role of c-Myc and MMPs in the malignant transformation of patients with myelodysplastic syndromes. Leuk Res 2011. [DOI: 10.1016/s0145-2126(11)70203-x] [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: 10/18/2022]
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Jiang G, Bi K, Tang T, Ren H, Wang Y, Wen P, Liu J, Bi G. 200 LOH and MSI of Mfd27 and 9P21 polymorphic microsatellite were related to the pathogenesis and transformation of MDS. Leuk Res 2011. [DOI: 10.1016/s0145-2126(11)70202-8] [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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Jiang G, Bi K, Tang T, Ren H, Wang Y, Wen P, Liu J, Bi G. 199 Evi1 and MDS1-Evi1 expression were related to the transformation of MDS. Leuk Res 2011. [DOI: 10.1016/s0145-2126(11)70201-6] [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: 10/18/2022]
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Jiang G, Bi K, Tang T, Ren H, Wang Y, Wen P, Liu J, Bi G. 198 The role of cytokine, telomerase activity and apoptosis associated proteins in inefficient hematopoiesis of patients with myelodysplastic syndromes. Leuk Res 2011. [DOI: 10.1016/s0145-2126(11)70200-4] [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: 10/18/2022]
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Bi G, Scagel C, Fuchigami L, Regan R. Differences in Growth, and Nitrogen Uptake and Storage Between Two Container-Grown Cultivars of Rhododendron. ACTA ACUST UNITED AC 2007. [DOI: 10.24266/0738-2898-25.1.13] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Abstract
One-year-old liners of an evergreen rhododendron (Rhododendron L. ‘H-1 P.J.M’) and a deciduous azalea (Rhododendron L. ‘Cannon's Double’) were used to determine nitrogen (N) uptake, remobilization, and storage in relation to plant growth from May to September. Plants were grown in a substrate of equal parts (by vol) vermiculite, pumice, and sandy loam soil and received liquid fertilization with or without N. Rate of N uptake was correlated with the rate of plant growth and maximum uptake occurred during July [azalea, >4 mg/day (1.4E – 04 oz/day)] and August [rhododendron, >2 mg/day (7.1E – 05 oz/day)]. Compared to the rhododendron used in this study, the azalea cultivar grew faster and had a greater rate of N uptake and uptake efficiency (azalea, 12 to 33%; rhododendron, 8 to 16%). The old leaves of the rhododendron remobilized N for new growth. New azalea leaves exported approx. 40% of their N by September when the stems and roots were actively accumulating biomass. The roots, stems and new leaves of the rhododendrons were still accumulating biomass by September. Our results suggest that transplanted 1-year-old liners of rhododendron and azalea contained sufficient N reserves in both the plant and substrate to support initial plant growth and that increasing availability of N in the substrate during the period of rapid growth can significantly increase N uptake while improving vegetative growth and the N status of both rhododendron and azalea.
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Affiliation(s)
- G. Bi
- Department of Horticulture, Oregon State University, 4017 ALS, Corvallis, OR 97330
| | - C.F. Scagel
- Department of Horticulture, Oregon State University, 4017 ALS, Corvallis, OR 97330
| | - L.H. Fuchigami
- Department of Horticulture, Oregon State University, 4017 ALS, Corvallis, OR 97330
| | - R.P. Regan
- Department of Horticulture, Oregon State University, 4017 ALS, Corvallis, OR 97330
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Guo JH, Saiyin H, Wei YH, Chen S, Chen L, Bi G, Ma LJ, Zhou GJ, Huang CQ, Yu L, Dai L. Expression of testis specific ankyrin repeat and SOCS box-containing 17 gene. ACTA ACUST UNITED AC 2004; 50:155-61. [PMID: 15204681 DOI: 10.1080/01485010490425485] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
Human ASB-17 (Ankyrin Repeat and SOCS Box-containing 17) is a recently identified gene belonging to the ASB family, isolated from testis cDNA library. Human ASB-17 is expressed exclusively in testis among 16 tissues, revealed by Northern blot. Mouse Asb-17 was shown to be expressed from the third week post birth to adult by semi-quantitative RT-PCR analysis. In situ hybridization on frozen sections demonstrated that Asb-17 is expressed in spermatogenic cells in adult mouse, but not in Leydig cell and epididymis in adult mouse. ASB-17 proteins are highly conserved in mammals including human, mouse, rat, Canis familiaris and Macaca fascicularis.
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Affiliation(s)
- J H Guo
- State Key Laboratory of Genetic Engineering, Institute of Genetics, Fudan University, Shanghai, People's Republic of China
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Tao H, Zhang LI, Bi G, Poo M. Selective presynaptic propagation of long-term potentiation in defined neural networks. J Neurosci 2000; 20:3233-43. [PMID: 10777788 PMCID: PMC6773144] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2023] Open
Abstract
Induction of long-term potentiation (LTP) of the synaptic connection between two hippocampal glutamatergic neurons in a neural network formed in cell culture resulted in a specific pattern of potentiation at other connections within the network. We found that potentiation propagated from the site of induction retrogradely to glutamatergic or GABAergic synapses received by the dendrites of the presynaptic neuron and laterally to those made by its axonal collaterals onto other glutamatergic cells. In contrast, synapses made by the same presynaptic neuron onto GABAergic cells were not affected, and there was no postsynaptic lateral or forward propagation to other synapses received or made by the postsynaptic neuron. In addition, there was no secondary propagation to synapses not directly associated with the presynaptic neuron. Both induction and propagation of LTP required correlated spiking of the postsynaptic cell as well as the activation of the NMDA subtype of glutamate receptors. Such selective propagation suggests the existence of a long-range cytoplasmic signaling within the presynaptic neuron, leading to a specific pattern of coordinated potentiation along excitatory pathways in a neural network.
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Affiliation(s)
- H Tao
- Department of Biology, University of California at San Diego, La Jolla, California 92093-0357, USA
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Wang Z, Yan Z, Bi G, Xu W, Huang T. [Germline LKB1 gene mutation screening in 4 Chinese Peutz-Jeghers syndrome pedigrees]. Zhonghua Wai Ke Za Zhi 2000; 38:104-5. [PMID: 11832000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/23/2023]
Abstract
OBJECTIVE To evaluate the frequency and nature of LKB1 gene germline mutations in 4 large Chinese Peutz-Jeghers syndrome pedigrees. METHODS Four Chinese Peutz-Jeghers syndrome pedigrees were investigated. Two patients and 1 normal adult from each pedigree were selected, and genomic DNA from peripheral blood was extracted. The 9 exons of LKB1 gene were amplified by PCR. The products were tested by SSCP and abnormally shifted bands were sequenced. If there was no positive finding in any pedigree, the entire exons were sequenced. RESULTS The same 842 C deletion of LKB1 gene frame-shift mutations was found in 2 pedigrees, which resulted in truncated protein. No exon variant was found in the left 2 pedigrees. CONCLUSIONS LKB1 gene germline mutation is an important molecular pathogen of Peutz-Jeghers syndrome. 842 C deletion is a possible mutation hotspot and might be a common-ancestor mutation characteristic of Chinese.
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Affiliation(s)
- Z Wang
- Department of Surgery, First Hospital, Beijing Medical University, Beijing 100034, China
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Bi G, Chen YZ. [The rapid effects of steroids on glycine uptake in neuroblastoma cell strain SK-N-SH cells]. Sheng Li Xue Bao 1999; 51:603-8. [PMID: 11498928] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/21/2023]
Abstract
In the present study, glycine uptake in SK-N-SH cells was determined with liquid scintillation technique, and the rapid effects of steroids on glycine uptake in SK-N-SH cells were investigated. The results were as follows. High-affinity glycine uptake in SK-N-SH cells was dependent on Na+ and Cl-. Corticosterone (CORT), progesterone (P) and dexamethasone (DEX) had rapid effects on the glycine uptake. Since estradiol (E2) and deoxycorticosterone (DOC) had no effects, it was suggested that the rapid effects of steroids were specific. The rapid effects of CORT were concentration-dependent in a range of 10(-9)-10(-6) mol/L. The rapid effects were not affected by the inhibitor of protein synthesis and persisted even when CORT was conjugated with bovine serum album, but attenuated when Ca2+ was absent in the external medium. The results suggest that the steroid effect on glycine uptake in SK-N-SH cells was nongenomicly mediated.
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Affiliation(s)
- G Bi
- Neuroscience Research Institute, Second Military Medical University, Shanghai 200433
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Abstract
Activity-dependent changes in synaptic efficacy or connectivity are critical for the development, signal processing and learning and memory functions of the nervous system. Repetitive correlated spiking of pre- and postsynaptic neurons can induce a persistent increase or decrease in synaptic strength, depending on the timing of the pre- and postsynaptic excitation. Previous studies on such synaptic modifications have focused on synapses made by the stimulated neuron. Here we examine, in networks of cultured hippocampal neurons, whether and how localized stimulation can modify synapses that are remote from the stimulated neuron. We found that repetitive paired-pulse stimulation of a single neuron for brief periods induces persistent strengthening or weakening of specific polysynaptic pathways in a manner that depends on the interpulse interval. These changes can be accounted for by correlated pre- and postsynaptic excitation at distant synaptic sites, resulting from different transmission delays along separate pathways. Thus, through such a 'delay-line' mechanism, temporal information coded in the timing of individual spikes can be converted into and stored as spatially distributed patterns of persistent synaptic modifications in a neural network.
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Affiliation(s)
- G Bi
- Department of Biology, University of California at San Diego, La Jolla 92093-0357, USA.
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Huang CY, Bi G, Miller PS. Triplex formation by oligonucleotides containing novel deoxycytidine derivatives. Nucleic Acids Res 1997. [DOI: 10.1093/nar/25.18.i] [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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Abstract
Homopurine sequences of duplex DNA are binding sites for triplex-forming oligodeoxyribopyrimidines. The interactions of synthetic duplex DNA targets with an oligodeoxyribopyrimidine containing N4-(6-amino-2-pyridinyl)deoxycytidine (1), a nucleoside designed to interact with a single C-G base pair interruption of the purine target tract, was studied by UV melting, circular dichroism spectroscopy and dimethylsulfate alkylation experiments. Nucleoside 1 supports stable triplex formation at pH 7.0 with formation of a 1-Y-Z triad, where Y-Z is a base pair in the homopurine tract of the target. Selective interaction was observed when Y-Z was C-G, although A-T and, to a lesser extent, T-A and G-C base pairs were also recognized. The circular dichroism spectra of the triplex having a 1-C-G triad were similar to those of a triplex having a C(+)-G-C triad, suggesting that the overall structures of the two triplexes are quite similar. Removal of the 6-amino group from 1 essentially eliminated triplex formation. Reaction of a triplex having the 1-C-G triad with dimethylsulfate resulted in a 50% reduction of methylation of the G residue of this triad. In contrast, the G of a similar triplex containing a U-C-G triad was not protected from methylation by dimethylsulfate. These results are consistent with a binding mode in which the 6-amino-2-pyridinyl group of 1 spans the major groove of the target duplex at the 1-C-G binding site and forms a hydrogen bond with the O6 of G. An additional stabilizing hydrogen bond could form between the N4 of the imino tautomer of 1 and the N4 amino group of C.
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Affiliation(s)
- C Y Huang
- Department of Biochemistry, School of Hygiene and Public Health, The Johns Hopkins University, Baltimore, MD 21205, USA
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Miller PS, Bi G, Kipp SA, Fok V, DeLong RK. Triplex formation by a psoralen-conjugated oligodeoxyribonucleotide containing the base analog 8-oxo-adenine. Nucleic Acids Res 1996; 24:730-6. [PMID: 8604317 PMCID: PMC145696 DOI: 10.1093/nar/24.4.730] [Citation(s) in RCA: 25] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023] Open
Abstract
Oligodeoxyribonucleotides containing thymidine and 8-oxo-2'-deoxyadenosine can form pyr.pur.pyr type triplexes with double-stranded DNA. Unlike triplexes whose third strands contain thymidine and deoxycytidine, the stability of these triplexes is independent of pH. We have prepared d-ps-TAAATAAATTTTTAT-L [I(A)], where A is 8-oxo-2'-deoxyadenosine, ps is 4'-hydroxymethyl-4,5',8- trimethylpsoralen and L is a 6-amino-2-(hydroxymethyl)hexyl linker. The oligomer is designed to interact with a homopurine sequence in the promoter region of the human gene coding for the 92 kDa form of collagenase type IV. Oligomer I(A) and oligomer I(C), which contains 2'-deoxycytidine in place of 8-oxo-2'-deoxycytidine, both form stable triplexes at pH 6.2, but only I(A) forms a stable triplex with a model duplex DNA target at pH 7.5, as determined by UV melting experiments. Triplex formation is stabilized by the presence of the psoralen group. Upon irradiation both I(A) and I(C) form photoadducts with the DNA target at pH 6.2, but only I(A) forms a photoadduct at pH 7.5. In these photoreactions oligomer I(A) appears to selectively form a photoadduct with a C in the purine-rich strand of the duplex target. Although a T residue is present in the pyrimidine-rich strand of the target at the duplex/triplex junction, essentially no adduct formation takes place with this strand, nor is interstrand cross-linking observed. The extent of photoadduct formation decreases with increasing temperature, behavior which is consistent with the UV melting curve of the triplex. A tetramethylrhodamine derivative of I(A) was prepared and found to cross-link less extensively than I(A) itself. Oligomer I(A) is completely resistant to hydrolysis when incubated for 24h in the presence of 10% fetal bovine serum at 37 degree C, although it is hydrolyzed by S1 nuclease. The properties of oligomer I(A) suggest that 8-oxo- containing oligomers may find utility as antigene oligonucleotide reagents.
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Affiliation(s)
- P S Miller
- Department of Biochemistry, School of Hygiene and Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
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