检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:叶友康 张凯波[1] 王海河 Ye Youkang;Zhang Kaibo;Wang Haihe(Department of immunology and pathogen biology,Lishui University,Lishui,Zhejiang,323000,China)
机构地区:[1]丽水学院医学院免疫与病原生物学教研室,浙江丽水323000
出 处:《齐齐哈尔医学院学报》2022年第7期610-614,共5页Journal of Qiqihar Medical University
摘 要:目的反向微生态学(RM)方法预测与类风湿性关节炎(RA)发病相关的肠道微生态蛋白抗原,证明RM方法在微生态学研究的可行性。方法OHMI本体标准化表述和分析RA相关的肠道微生态菌种,提取代表菌株的全基因序列,RM方法预测与RA发病相关蛋白抗原。结果本体分析发现25个与RA相关的肠道微生态菌种,其中致病菌14株、益生菌11株。通过对8个菌种的27个全基因分析,预测了可能与RA发病相关的人同源蛋白10个和非同源蛋白330个。结论RM可快速预测疾病相关的肠道微生态病原性自身抗原和毒力因子,可在分子水平探讨微生态的致病机制。Objective To predict rheumatoid arthritis-associated gut microbiota pathogenic antigens using ontology and reverse microbiomics(RM),and to certificate the feasibility of the RM in microbiome study.Methods OHMI was used for standard formulation and analysis RA-associated gut microbiome.The genome sequences of bacterial species were retrieved,and RM strategy was used to predict protein antigens related to RA morbidity.Results Our ontology identified 25 intestinal microecological species that were related to RA morbidity.Out of these 25 bacteria,14 were pathogenic bacteria,and 11 probiotics.We predicted a total of ten bacterial proteins had homology to human proteins and 330 non-human homology proteins that were likely associated with RA through analysis 27 whole genes of 8 strains.Conclusions RM could rapidly predict pathogenic auto-antigens and virulence factors of intestinal microecology associated with disease,and could explore the pathogenic mechanism of microecology at the molecular level.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.28