| 1 | Mitochondrial DNA in the regulation of innate immune responses显示文摘线粒体作为房间的精力工厂被知道,它也是一个唯一的哺乳动物的细胞器并且考虑超过 10 亿年以前从氧气的初核质被发展。Mitochondrial DNA,类似于它的细菌的祖先,由一个圆形的环组成并且作为 CpG 岛包含 unmethylated DNA 的重要数字。天生的免疫系统在哺乳动物的有免疫力的反应起一个重要作用。最近的研究证明了 mitochondrial DNA (mtDNA ) 激活包含发信号的 TLR9, NLRP3 和圈套的几条天生的有免疫力的小径,它在受动器回答贡献发信号的平台和结果。除了便于抗菌剂豁免并且调整抗病毒的发信号,装证据建议 mtDNA 贡献跟随细胞的损坏和应力的煽动性的疾病。除了它在细胞的新陈代谢和精力生产的欣赏得好的角色,因此, mtDNA 看起来在天生的免疫系统作为一个关键成员工作。这里,我们在天生的免疫加亮 mtDNA 的新兴的角色。 | Chunju Fang Xiawei Wei Yuquan Wei | 2016 | Protein & Cell2016，7，1： | 12 |
| 2 | Oxidized mitochondrial DNA sensing by STING signaling promotes the antitumor effect of an irradiated immunogenic cancer cell vaccine显示文摘Exposure to ionizing radiation,a physical treatment that inactivates live tumor cells,has been extensively applied to enhance the antitumor responses induced by cancer cell vaccines in both animal research and human clinical trials.However,the mechanisms by which irradiated cells function as immunogenic tumor vaccines and induce effective antitumor responses have not been fully explored.Here,we demonstrate that oxidized mitochondrial DNA(mtDNA)and stimulator of interferon genes(STING)signaling play a key roles in the enhanced antitumor effect achieved with an irradiated tumor cell vaccine.Elevations in ROS and oxidized mtDNA 8-OHG content could be induced in irradiated tumor cells.Oxidized mtDNA derived from irradiated tumor cells gained access to the cytosol of dendritic cells(DCs).Oxidized mtDNA,as a DAMP or adjuvant,activated the STING-TBK1-IRF3-IFN-β pathway in DCs,which subsequently cross-presented irradiated tumor cell-derived antigens to CD8^(+)T cells and elicited antitumor immunity.The results of our study provide insight into the mechanism by which an irradiated cell vaccine mediates antitumor immunity,which may have implications for new strategies to improve the efficacy of irradiated vaccines. | Chunju Fang Fei Mo Li Liu Jing Du Min Luo Ke Men Feifei Na Wei Wang Hanshuo Yang Xiawei Wei | 2021 | Cellular & Molecular Immunology2021，18，9： | 2 |
| 3 | A comprehensive construction of the domain ontology for stratigraphy显示文摘Stratigraphic knowledge,the cornerstone of geoscience,needs to be represented by the Knowledge Graph based upon ontology,in order to apply the state-of-the-art big-data techniques.This study aims to comprehensively construct the ontologies for the stratigraphic domain.This has been achieved by a federated,crowd intelligence-based collaboration among domain experts of major stratigraphic subdisciplines.The initial step is to enumerate key terms from authoritative references and incorporate them into the Geoscience Professional Knowledge Graphs(GPKGs)of Deep-time Digital Earth Project.During this process,semantic heterogeneities were meticulously addressed by professional judgement aided by an automatic detection of Homonyms at the GPKGs platform.Afterwards,these terms were further differentiated as either classes or properties and arranged in a hierarchical framework in a top-down process.Consequently,seven ontologies are constructed for major stratigraphic branches,i.e.,Lithostratigraphy,Biostratigraphy,Chronostratigraphy,Chemostratigraphy,Magnetostratigraphy,Cyclostratigraphy and Sequence Stratigraphy.The ontology of Biostratigraphy,among them,is elaborated here,as no biostratigraphic ontology has been attempted before to our knowledge.The constructed biostratigraphic ontology comprises following major root classes:Fossil,Biostratigraphic unit,Biostratigraphic horizon.Altogether,they contribute to the eventual dating and correlating of strata in another root class:Biostratigraphic correlation.In summary,the achievements of this study are probably heretofore the most comprehensive ontologies for the stratigraphic domain.Moreover,a proto model of semantic search engine was conceived to discuss potential application of our work for better querying stratigraphic references,utilizing the semantic liaison of the classes in the constructed ontologies. | Huiqing Xu Yingying Zhao Hao Huang Shaochun Dong Yukun Shi Chunju Huang Huaichun Wu Zhiqi Qian Qiang Fang Huaguo Wen Zhongtang Su Shuang Dai Ronghua Wang Chao Li Chao Sun Junxuan Fan | 2023 | Geoscience Frontiers2023，14，5： | 0 |
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