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Differentiation of Mesenchymal Stem Cells Into Dopaminergic Neuron-like Cells in vitro 被引量:31
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作者 L1GUO FEIYIN +7 位作者 HONG-QIMENG LINGLING TA-NAHU-HE PENGLI chun-xiazhang SHUNYU DE-SHENGDUAN HONG-XUEFAN 《Biomedical and Environmental Sciences》 SCIE CAS CSCD 2005年第1期36-42,共7页
To explore the way to induce mesenchymal stem cells (MSCs) to differentiate into dopaminergic neurons in vitro. Methods MSCs were obtained from rat bone marrow, cultured and passaged. MSCs used in this experi... To explore the way to induce mesenchymal stem cells (MSCs) to differentiate into dopaminergic neurons in vitro. Methods MSCs were obtained from rat bone marrow, cultured and passaged. MSCs used in this experiment had multipotency, which was indirectly proved by being induced to differentiate into chondrocytes and adipocytes. MSCs were cultured in medium containing 0.5 mmol/L IBMX for 2 days. Then the medium was replaced with induction medium, which contained GDNF, IL-1β, mesencephalic glial-cell-conditioned medium and flash-frozen mesencephalic membrane fragments. The surface markers of the differentiated neurons, such as NSE, nestin, MAP-2a, b and TH were detected by immunocytochemistry and Western blot after MSCs were cultured in induction medium for 7 days and 15 days. Results MSCs differentiated into neural progenitors and expressed nestin after MSCs were incubated with medium containing IBMX for 2 d. After the medium was replaced with induction medium containing many inducing agents, MSCs differentiated into neuron-like cells and dopaminergic neuron-like cells and expressed NSE, MAP-2a, b and TH. The percentage of NSE-positive cells, MAP-2a, b-positive cells and TH-positive cells was 30.032±2.489%, 41.580±5.101% and 34.958±5.534%, respectively after MSCs were induced in medium containing GDNF, IL-1β, mesencephalic glial-cell-conditioned medium and flash-frozen mesencephalic membrane fragments for 15 days. Conclusion MSCs can differentiate into dopaminergic neuron-like cells and are a new cell source for the treatment of neurodegeneration diseases and have a great potential for wide application 展开更多
关键词 Mesenchymal stem cells (MSCs) Dopaminergic neuron-like cells (DA neuron-like cells) DIFFERENTIATE
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Domain-Specific Formal Ontology of Archaeology and Its Application in Knowledge Acquisition and Analysis 被引量:8
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作者 chun-xiazhang Cun-GenCao +1 位作者 FangGu Jin-XinSi 《Journal of Computer Science & Technology》 SCIE EI CSCD 2004年第3期290-301,共12页
Inherent heterogeneity and distribution of knowledge strongly prevent knowledge from sharing and reusing among different agents and software entities, and a formal ontology has been viewed as a promising means to tack... Inherent heterogeneity and distribution of knowledge strongly prevent knowledge from sharing and reusing among different agents and software entities, and a formal ontology has been viewed as a promising means to tackle this problem. In this paper, a domain-specific formal ontology of archaeology is presented. The ontology mainly consists of three parts: archaeological categories, their relationships and axioms. The ontology not only captures the semantics of archaeological knowledge, but also provides archaeology with an explicit and formal specification of a shared conceptualization, thus making archaeological knowledge shareable and reusable across humans and machines in a structured fashion. Further, we propose a method to verify ontology. correctness based on the individuals of categories. As applications of the ontology,we have developed an ontology-driven approach to knowledge acquisition from archaeological text and a question answering system for archaeological knowledge. 展开更多
关键词 domain-specific ontology ARCHAEOLOGY CATEGORY ontology correctness knowledge acquisition question-answering system
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面向考古的形式领域本体及其在知识获取和分析中的应用
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作者 chun-xiazhang Cun-GenCao +1 位作者 FangGu Jin-XinSi 《Journal of Computer Science & Technology》 SCIE EI CSCD 2004年第C00期71-71,共1页
随着计算机和互联网的迅猛发展和广泛应用,知识内在的异质性和分布性已经严重地阻碍了知识在多主体和软件实体之间的共享和重用,而形式本体已被认为是很有前途的解决方法。作为一门专业领域知识,考古学知识是人类知识的重要组成部分... 随着计算机和互联网的迅猛发展和广泛应用,知识内在的异质性和分布性已经严重地阻碍了知识在多主体和软件实体之间的共享和重用,而形式本体已被认为是很有前途的解决方法。作为一门专业领域知识,考古学知识是人类知识的重要组成部分,在自然语言处理、知识系统、信息检索、信息提取和智能教学等知识密集型应用中是必不可少的。 展开更多
关键词 领域本体 知识获取 分布性 重用 自然语言处理 多主体 计算机 知识密集型 发展 形式
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