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、计算生物学家和系统生物学家将共同支持
各种PPG项目,以开发与COPD和IPF相关的基因组特征的可测试假说,
以及这些基因在疾病发病机制中的功能作用。在这一能力中,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,以设计
实验和分析的结果数据使用“传统”方法,重点是阐明
涉及肺部疾病的关键基因的功能。这些分析将随着发展而得到加强
以及高级分析方法的应用,旨在将不同类型的数据集成到可解释的
生物学框架,提供关于疾病进展驱动因素的可测试假说。其基本原理是
创建单独核心的背后是对从事每项工作的强大量化分析团队的补充
各种项目具有生物信息学和基于系统的建模专业知识,并将标准化和集成
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,促进将实验室结果转化为生物学和
临床洞察力将促进我们对关键基因,包括那些参与
线粒体和几丁质酶过程在疾病发展中发挥作用,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