Respiratory Computational Discovery Core
Respiratory Computational Discovery Core
批准号:
10172309
负责人:
John Quackenbush
金额:
$37.98万
依托单位国家:
美国
项目类别:
财政年份:
2013
资助国家:
美国
项目状态:
未结题
起止时间:
2013-09-06 至 2026-04-30
关键词:
AddressAdherenceBasic ScienceBioinformaticsBiologicalCandidate Disease GeneCellsChitinaseChronic Obstructive Airway DiseaseCigarette SmokerClinicalClinical ResearchComplexComputing MethodologiesDataData ReportingData SetDevelopmentDiseaseDisease ProgressionElementsEnsureEpigenetic ProcessEvaluationExperimental DesignsFemaleFibrosisGene ExpressionGene Expression ProfileGenesGeneticGenomeGenomicsGoalsHealthHumanInfrastructureInvestigationLaboratoriesLung diseasesMapsMedicineMethodsMitochondriaModelingMultiomic DataNaturePathogenesisPathway AnalysisPathway interactionsPatientsPatternPharmaceutical PreparationsPhenotypePlayPoliciesPopulationProcessProteinsProteomicsProtocols documentationPulmonary EmphysemaRegulator GenesRegulatory ElementResearch PersonnelResourcesRoleSeverity of illnessStandardizationStudy modelsSurveysSystemTechnologyTherapeutic InterventionTimeTissuesTranscriptTranslatingTranslational ResearchTranslationsUnited States National Institutes of HealthVariantWorkadvanced analyticsanalytical methodbasecomplex datadata managementdata sharingdata streamsdatabase of Genotypes and Phenotypesdesigndisease phenotypeepigenetic variationexperienceexperimental studygene interactiongenome-widehuman diseasehuman modelinsightmalemembermetabolomicsmouse modelmultiple data typesprogramsrespiratoryresponsetranscriptome sequencingtranscriptomics
中文摘要
摘要
呼吸计算发现核心(核心B)的目标是提供协作基础设施
经验丰富的统计学家和计算和系统生物学家将共同努力,
各种PPG项目,以开发关于COPD和IPF相关基因组特征的可验证假设,
以及这些基因在疾病发病机制中的功能作用。在这方面,核心将发挥双重作用。
核心的分析团队将与PPG项目和核心的成员密切合作,
实验和分析所产生的数据使用“传统”的方法,重点是阐明
与肺部疾病有关的关键基因的功能。这些分析将得到发展的补充,
和应用先进的分析方法,旨在将不同类型的数据整合成一个可解释的
生物学框架,提供关于疾病进展驱动因素的可检验假设。的理由
创建一个单独的核心是为了补充强大的定量分析团队,
利用生物信息学和基于系统的建模专业知识,
跨项目的数据。此外,我们将开发方法,使我们能够更有效地比较结果
在人类和小鼠模型研究之间,促进实验室结果转化为生物学和
临床洞察力,这将促进我们对关键基因的作用的理解,
线粒体和几丁质酶过程在疾病发展中起作用,并区分COPD和IPF。
英文摘要
Abstract
The goal of the Respiratory Computational Discovery Core (Core B) is to provide a collaborative infrastructure
in which experienced statisticians and computational and systems biologists will work together to support the
various PPG Projects to develop testable hypotheses about genomic features associated with COPD and IPF,
and the functional roles of these genes in disease pathogenesis. In this capacity, the Core will serve a dual role.
The Core’s analytical team will work closely with the members of the PPG Projects and Cores to design
experiments and analyze the resulting data using “conventional” methods, with an emphasis on elucidating the
functions of key genes implicated in pulmonary disease. These analyses will be augmented by the development
and application of advanced analytical methods aimed at integrating diverse types of data into an interpretable
biological framework, providing testable hypotheses regarding drivers of disease progression. The rationale
behind creating a separate Core is to supplement the strong quantitative analytical teams working on each of
the various Projects with bioinformatics and systems-based modeling expertise and to standardize and integrate
data across Projects. In addition, we will develop methods to allow us to more effectively compare results
between human and mouse model studies, facilitating the translation of laboratory results into biological and
clinical insight that will advance our understanding of the role that key genes, including those involved in
mitochondrial and chitinase processes, play in disease development and differentiate COPD and IPF.
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会议论文
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海外基金