Identifying Microorganisms involved in Human Health and Disease Processes
Identifying Microorganisms involved in Human Health and Disease Processes
批准号:
8098160
负责人:
JAMES BORNEMAN
金额:
$34.91万
依托单位国家:
美国
项目类别:
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-07-01 至 2013-06-30
关键词:
AddressAgricultureAlgorithmsAreaAutoimmunityCancer EtiologyClassificationColitisCommunicable DiseasesComputational ScienceComputer softwareDNA ProbesDataData AnalysesData SetData Storage and RetrievalDatabase Management SystemsDevelopmentDiseaseEnvironmentEtiologyFatty acid glycerol estersFingerprintGoalsHealthHomeostasisHumanHuman BiologyImmune systemIn SituInflammatory Bowel DiseasesInterdisciplinary StudyInvestigationLeadLymphocyteMalignant NeoplasmsMethodsMicrobiologyMissionModelingMolecularMolecular BiologyMucosal ImmunityMusObesityOligonucleotidesOrganismParasitic nematodePhasePhysiologicalPlantsPlayPopulation DensityProcessResearchRoleSamplingSignal TransductionSoilStatistical MethodsTaxonTechnologyTestingUnited States National Institutes of HealthVitaminsWorkbasecostcost effectivedata acquisitiondesigninfancyinnovationmicrobialmicrobial communitymicroorganismnovelnovel strategiespathogenpopulation basedpreventrRNA Genessuccesstooltrend
中文摘要
点击翻译按钮获取中文摘要
英文摘要
DESCRIPTION (provided by applicant): Microorganisms play a variety of important roles in human biology. They synthesize vitamins, inhibit pathogens, modulate fat storage and the immune system, and cause cancers and infectious diseases. Despite these important findings, our overall understanding of the microbial role in human biology is still in its infancy. Slow progress in this area is caused by limitations of the currently used methods for studying microbial communities, including insufficient throughput and high cost. The Specific Aims of this proposal address these limitations through the development of new high- throughput methods and software. In particular, we will develop (1) a high-throughput, rRNA gene based method to identify microorganisms, (2) novel approaches to characterize the associations between levels of specific microorganisms and health or disease processes, and (3) an integrated software suite to support and automate these experimental processes. Specific Aim (4) is to perform comprehensive tests to validate our methods and evaluate their utility in comparison to other approaches. These new experimental capabilities will enable us to address the long-term objective of our research, which is to understand the role of microorganisms in the etiology of inflammatory bowel disease (IBD) and in the development and homeostasis of mucosal immunity in humans. They will also enable a myriad of investigations aimed at identifying microorganisms involved in other human health and disease processes. This project addresses the mission of the NIH Roadmap and the PA "Innovations in Biomedical Computational Science and Technology" by utilizing an interdisciplinary research team to develop innovative molecular, computational, and statistical methods for studying the roles of microorganisms in human health and disease processes. The results of our work are likely to impact areas outside of microbiology, as the proposed methods and software could prove useful in microarray data analysis, fingerprint-based taxonomic studies, and other fields of research. PUBLIC HEALTH RELEVANCE: We propose to develop new experimental approaches to investigate the role of microorganisms in mucosal immunity, IBD and other human health and disease processes. These new tools should lead to new strategies to prevent, manage or cure IBD, as well as the multitude of other diseases associated with microorganisms.
期刊论文(9)
专著(0)
科研奖励(0)
会议论文
Neutral Zone Classifiers Using a Decision-Theoretic Approach With Application to DNA Array Analyses.
使用决策理论方法的中性区分类器应用于 DNA 阵列分析。
DOI:
10.1007/s13253-010-0034-6
发表时间:
2010
期刊:
Journal of agricultural, biological, and environmental statistics
影响因子:
--
作者:
[Yu,Hua, Jeske,DanielR, Ruegger,Paul, Borneman,James]
通讯作者:
Borneman,James
DOI:
10.1080/10543400903572720
发表时间:
2010-03
期刊:
Journal of biopharmaceutical statistics
影响因子:
1.1
作者:
[Cui X, Zhao H, Wilson J]
通讯作者:
Wilson J
Improving probe set selection for microbial community analysis by leveraging taxonomic information of training sequences.
通过利用训练序列的分类信息来改进微生物群落分析的探针组选择。
DOI:
10.1186/1471-2105-12-394
发表时间:
2011
期刊:
BMC bioinformatics
影响因子:
3
作者:
[Ruegger,PaulM, DellaVedova,Gianluca, Jiang,Tao, Borneman,James]
通讯作者:
Borneman,James
Identifying Microorganisms involved in Human Health and Disease Processes
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批准号:7878764
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项目类别:
-
资助金额:$35.26万
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财政年份:2008
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负责人:JAMES BORNEMAN
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依托单位:
Identifying Microorganisms involved in Human Health and Disease Processes
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批准号:7533742
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项目类别:
-
资助金额:$35.62万
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财政年份:2008
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负责人:JAMES BORNEMAN
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依托单位:
Identifying Microorganisms involved in Human Health and Disease Processes
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批准号:7626760
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项目类别:
-
资助金额:$35.62万
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财政年份:2008
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负责人:JAMES BORNEMAN
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依托单位:
海外基金