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国家自然科学基金(61103167)

作品数:6 被引量:86H指数:4
相关作者:宁康陈挺王长云白虹王晓君更多>>
相关机构:中国科学院清华大学中国海洋大学更多>>
发文基金:国家自然科学基金国家高技术研究发展计划中德科学中心合作项目更多>>
相关领域:医药卫生生物学自动化与计算机技术更多>>

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DNA Extraction Protocol for Biological Ingredient Analysis of Liuwei Dihuang Wan被引量:5
2014年
Traditional Chinese medicine (TCM) clinical practice. So far, the methods commonly preparations are widely used for healthcare and used for quality evaluation of TCM preparations mainly focused on chemical ingredients. The biological ingredient analysis of TCM preparations is also important because TCM preparations usually contain both plant and animal ingredients, which often include some mis-identified herbal materials, adulterants or even some biological contaminants. For biological ingredient analysis, the efficiency of DNA extraction is an important factor which might affect the accuracy and reliability of identification. The component complexity in TCM preparations is high, and DNA might be destroyed or degraded in different degrees after a series of processing procedures. Therefore, it is necessary to establish an effective protocol for DNA extraction from TCM preparations. In this study, we chose a classical TCM preparation, Liuwei Dihuang Wan (LDW), as an example to develop a TCM-specific DNA extraction method. An optimized cetyl trimethyl ammonium bromide (CTAB) method (TCM-CTAB) and three commonly-used extraction kits were tested for extraction of DNA from LDW samples. Experimental results indicated that DNA with the highest purity and concentration was obtained by using TCM-CTAB. To further evaluate the different extraction methods, amplification of the second internal transcribed spacer (ITS2) and the chloroplast genome trnL intron was carried out.
Xinwei ChengXiaohua ChenXiaoquan SuHuanxin ZhaoMaozhen HanCunpei BoJian XuHong BaiKang Ning
一种基于宏基因组模拟数据的生物标志物筛选方法被引量:2
2016年
鉴于生物圈中微生物资源的巨大开发潜力以及测序技术不断发展,宏基因组学研究的不断深入,微生物群落已经被看作一个整体来进行分析并且已经得到广泛应用。然而由于微生物的多样性以及微生物菌群的复杂性,使得精确确定和定量宏基因组数据中的分类单元成为宏基因组数据分析的难点。已有的宏基因组数据标记分析工具无法解决微生物群落预测结果重现的稳健性、准确性以及处理非冗余标记物方面遇到的问题。笔者提出了一个新的基于宏基因组自助抽样(metagenomic bootstrap)的生物标志物选择方法,它结合了mRMR(minimal redundancy maximal relevance)和自助抽样方法(bootstrapping),可以更加稳健、准确而有效地通过对宏基因组数据的挖掘实现非冗余标记物的筛选。基于模拟数据集,通过其与2种自上而下的方法(Metastats、LEf Se)以及自下而上的方法(Wilcoxon秩和检验)进行对比,表明本方法可以在较高准确率的基础上更加稳健地选择更多的非冗余生物标志物。
王晓君滕琳
关键词:宏基因组生物标志物
Stereotypes About Enterotype: the Old and New Ideas被引量:7
2019年
In 2011, the term ‘‘enterotype" first appeared to the general public in Nature, which refers to stratification of human gut microbiota. However, with more studies on enterotypes conducted nowadays, doubts about the existence and robustness of enterotypes have also emerged. Here we reviewed current opinions about enterotypes from both conceptual and analytical points of view.We firstly illustrated the definition of the enterotype and various factors influencing enterotypes,such as diet, administration of antibiotics, and age. Then we summarized lines of evidence that pose the concept against the enterotype, and described the current methods for enterotype analysis.Finally, we showed that the concept of enterotype has been extended to other ecological niches.Based on current studies on enterotypes, it has been clear that more studies with larger sample sizes are needed to characterize the enterotypes. Improved computational methods are also required to build sophisticated models, reflecting the dynamics and resilience of enterotypes.
Mingyue ChengKang Ning
关键词:GUTMICROBIOMEBIOMARKERCONTINUITY
Agricultural Risk Factors Influence Microbial Ecology in Honghu Lake被引量:4
2019年
Agricultural activities, including stock-farming, planting industry, and fish aquaculture,can affect the physicochemical and biological characters of freshwater lakes. However, the effects of pollution producing by agricultural activities on microbial ecosystem of lakes remain unclear.Hence, in this work, we selected Honghu Lake as a typical lake that is influenced by agriculture activities. We collected water and sediment samples from 18 sites, which span a wide range of areas from impacted and less-impacted areas. We performed a geospatial analysis on the composition of microbial communities associated with physicochemical properties and antibiotic pollution of samples. The co-occurrence networks of water and sediment were also built and analyzed. Our results showed that the microbial communities of impacted and less-impacted samples of water were largely driven by the concentrations of TN, TP, NO_3^--N, and NO_2^--N, while those of sediment were affected by the concentrations of Sed-OM and Sed-TN. Antibiotics have also played important roles in shaping these microbial communities: the concentrations of oxytetracycline and tetracycline clearly reflected the variance in taxonomic diversity and predicted functional diversity between impacted and less-impacted sites in water and sediment samples, respectively. Furthermore, for samples from both water and sediment, large differences of network topology structures between impacted and less-impacted were also observed. Our results provide compelling evidence that the microbial community can be used as a sentinel of eutrophication and antibiotics pollution risk associated with agricultural activity; and that proper monitoring of this environment is vital to maintain a sustainable environment in Honghu Lake.
Maozhen HanMelissa DsouzaChunyu ZhouHongjun LiJunqian ZhangChaoyun ChenQi YaoChaofang ZhongHao ZhouJack A GilbertZhi WangKang Ning
关键词:FRESHWATERMICROBIALCOMMUNITIESANTIBIOTICS
生物医学大数据的现状与展望被引量:59
2015年
生物医学是一门新兴的前沿交叉学科,它综合了医学、生命科学和生物学的理论和方法而发展起来.近年来随着先进仪器装备与信息技术等越来越广泛和深入的整合到生物技术中来,生物医学研究中越来越频繁的涉及到大数据存储和分析等信息技术.大数据时代的来临对生物医学研究产生了重大影响.其中,一个重要发展趋势就是由假设驱动向数据驱动的转变.数十年来分子生物学水平上的实验目的是获得结论或者是提出一种新的假设,而现在基于海量生物医学大数据,可以对海量数据的研究来探索其中的规律,直接提出假设或得出可靠的结论.随着先进的生物分析技术的不断推出和更新,生物医学数据迅速积累.基于此类大数据一些以往不能解决的问题将有望解决,同时相关生物医学研究的新问题也层出不穷.生物医学相关的大数据技术和相关应用主要包括:基于高通量测序的个性化基因组、转录组和蛋白组研究,单细胞水平基因型和表型研究,人类健康相关微生物群落研究,生物医学图像研究等.相关生物医学大数据分析任务均具有着数据密集和计算密集的双密集性特点.要充分地利用这些大数据解决一系列生物医学问题,迫切需要高通量、高效率、高准确性的生物信息存储和分析策略.本文总结和回顾生物医学大数据的生成、管理和分析相关的一系列问题,其中重点讨论人体微生物群落、单细胞表型和基因型、生物医学图像等新近出现的生物医学大数据形式,以及相关数据分析和应用前景等.基于目前生物医学大数据的现状我们可以发现,生物医学大数据的研究正处于蓄势待发状态:适应于生物医学大数据的软硬件平台、大数据存储、大数据分析挖掘等方法等还不成熟,制约着生物大数据的研究.然而一旦相关研究获得突破并有所优化和应用,将会全方位地支撑�
宁康陈挺
关键词:生物医学大数据微生物群落单细胞医学图像数据挖掘
运用基于高通量测序和大数据挖掘的元基因组学方法分析中药制剂的物种成分被引量:10
2015年
中药制剂质量评价以化学成分分析为主,而物种成分分析近年来引起了中医药界的极大关注,特别是对于丸剂类中药制剂的质量评价更为重要。建立中药制剂物种成分的快速、准确、系统的分析方法,是实现中药现代化、产业化和国际化的关键之一。中药制剂物种成分分析的实质是对包含多个生物物种的混合体系(混合生物样本)的物种鉴定。基于高通量测序和大数据挖掘技术的元基因组学方法是目前认识、分析生物混合体系结构和功能最有效、最重要的方法之一。利用元基因组学方法将有助于建立中药制剂的物种评价方法。通过选择合适的DNA分子标记,可对配伍处方药材物种进行鉴别,同时通过大规模数据分析和挖掘鉴别制剂中的混伪品、有毒动植物或受保护动植物的成分,以及在生产过程引入的生物杂质,从而为中药制剂的有效性、安全性和合法性提供评价依据。
白虹宁康王长云
关键词:中药高通量测序
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