Rewiring Pathways and Networks by Environmental Perturbations
通过环境扰动重新布线路径和网络
基本信息
- 批准号:7628431
- 负责人:
- 金额:$ 55.72万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2007
- 资助国家:美国
- 起止时间:2007-09-10 至 2011-03-31
- 项目状态:已结题
- 来源:
- 关键词:Adenovirus E1A ProteinsAdenovirusesBiologicalBiological ModelsBiologyCancer CenterCancerousCarcinogensCell Cycle RegulationCellsCodeComplexDNA VirusesDana-Farber Cancer InstituteDataData SetData SourcesDevelopmentDiseaseDisease AssociationDisease OutcomeEatingEnvironmentEnvironmental ImpactExhibitsExposure toGenesGenomeGenomicsGenotypeGoalsHealthHepatitis B VirusHepatitis C virusHumanHuman PapillomavirusIndividualInfectionInvestigationLaboratoriesLeadLinkMapsMediatingModelingModeling of Cellular PathwaysMolecularMutationNational Institute of Environmental Health SciencesNational Toxicology ProgramOncogenic VirusesOrganismOutcomePapillomavirusParasitesPathway interactionsPersonal SatisfactionPhenotypePhysiologyPropertyProtein FamilyProtein-Protein Interaction MapProteinsProteomeRB1 geneReportingRetinoblastomaRiskRoleSV40 T AntigensSimian virus 40StressStructureSurfaceSystems BiologyTestingTherapeutic InterventionTimeTissuesTouch sensationToxinVariantViralViral ProteinsVirusVirus DiseasesVirus IntegrationWorkcancer typecomparativedisease phenotypefibrosarcomagenome-widehuman DNAhuman diseaseinsightmelanomamolecular scalenetwork modelsosteosarcomapathogenprotein protein interactionresponsestressor
项目摘要
DESCRIPTION (provided by applicant):
It is widely appreciated that environmental stresses, such as exposure to toxins or pathogens, can have profound impact on individual health and well-being. How these "stressors" exert their influence is less well understood. While specific targets of environmental stresses have been identified for some toxins and pathogens, we propose that the impact of environmental stresses is mediated through the pathway(s) and/or networks in which the target molecule participates. Furthermore, even where a causal association between an environmental stress and a biological target has been identified, the biological insight that must precede a strategy for therapeutic intervention has generally been slow in coming. We suggest that the phenotypic effects of environmental stresses are mediated by alterations in a dynamic network of gene products and metabolites, and such networks, normal and perturbed, exhibit emergent properties that cannot be understood one gene at a time. Our central hypothesis is that one must understand changes in complex cellular networks to fully understand the link between genotype, environment, and phenotype. The Center for Cancer Systems Biology (CCSB) at the Dana-Farber Cancer Institute, together with a growing number of laboratories, is mapping and modeling cellular pathways and networks both "locally" at the scale of "molecular circuits" made of a few interacting molecules, and "globally" at the scale of the whole proteome; fundamental biological insights have already emerged from this body of work. We propose to use a model system as a surrogate for generalized environmental stresses to begin understanding how cellular pathways and networks are altered or modified as a consequence of environmental insult. We have chosen a defined, model system with a variety of disease outcomes: viral infection. Here we explore the concept that environmental stresses, as exemplified by viruses, influence local and global properties of networks to induce "disease states". Our plans to achieve these goals are summarized in the following specific aims: 1) Profile all binary viral-host protein-protein interactions for a group of viruses with related biological properties 2) Systematically test each viral protein for its ability to disrupt or alter host-host protein interactions, 3) Integrate the resulting interaction and perturbation data with diverse genomic data sources to derive dynamic cellular network models.
描述(由申请人提供):
人们普遍认为,环境压力(例如暴露于毒素或病原体)会对个人的健康和福祉产生深远的影响。这些“压力源”如何施加其影响不太了解。尽管已经确定了某些毒素和病原体的环境应力靶标,但我们建议环境应力的影响是通过目标分子参与的途径和/或网络介导的。此外,即使已经确定了环境压力与生物靶标之间的因果关系,也必须先于治疗干预策略之前的生物学见解。我们建议,环境应力的表型效应是通过基因产物和代谢产物的动态网络的变化而介导的,而这种正常和受扰的网络表现出了一个新兴的特性,这些特性一次是无法理解的一个基因。我们的中心假设是,必须了解复杂的细胞网络中的变化,以充分了解基因型,环境和表型之间的联系。 Dana-Farber癌症研究所的癌症系统生物学中心(CCSB),以及越来越多的实验室,正在以“分子回路”的规模“局部”绘制和建模细胞途径和网络。基本的生物学见解已经从这项工作中产生。我们建议将模型系统用作通用环境应力的替代物,以开始理解因环境损害而改变或修改细胞路径和网络的方式。我们选择了具有多种疾病结局的定义模型系统:病毒感染。在这里,我们探讨了一个概念,即病毒所用的环境压力影响网络的本地和全球性质,以诱导“疾病状态”。 Our plans to achieve these goals are summarized in the following specific aims: 1) Profile all binary viral-host protein-protein interactions for a group of viruses with related biological properties 2) Systematically test each viral protein for its ability to disrupt or alter host-host protein interactions, 3) Integrate the resulting interaction and perturbation data with diverse genomic data sources to derive dynamic cellular network models.
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Marc Vidal其他文献
Marc Vidal的其他文献
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{{ truncateString('Marc Vidal', 18)}}的其他基金
Selective disruption of histone deacetylase complexes using protein interaction modulators
使用蛋白质相互作用调节剂选择性破坏组蛋白脱乙酰酶复合物
- 批准号:
10552622 - 财政年份:2022
- 资助金额:
$ 55.72万 - 项目类别:
Selective disruption of histone deacetylase complexes using protein interaction modulators
使用蛋白质相互作用调节剂选择性破坏组蛋白脱乙酰酶复合物
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10340227 - 财政年份:2022
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Molecular phenotyping of ~100,000 coding variants across Mendelian disease genes
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Molecular phenotyping of ~100,000 coding variants across Mendelian disease genes
孟德尔疾病基因约 100,000 个编码变异的分子表型分析
- 批准号:
10631108 - 财政年份:2021
- 资助金额:
$ 55.72万 - 项目类别:
Molecular phenotyping of ~100,000 coding variants across Mendelian disease genes
孟德尔疾病基因约 100,000 个编码变异的分子表型分析
- 批准号:
10296340 - 财政年份:2021
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$ 55.72万 - 项目类别:
Interface-resolution domain-domain interactome map of the yeast complexome
酵母复合体的界面分辨率域-域相互作用图
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9918431 - 财政年份:2019
- 资助金额:
$ 55.72万 - 项目类别:
Interface-resolution domain-domain interactome map of the yeast complexome
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10356084 - 财政年份:2019
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$ 55.72万 - 项目类别:
Application of Technologies for Interactome Network Analyses of Cancer Mutations
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- 批准号:
7632259 - 财政年份:2008
- 资助金额:
$ 55.72万 - 项目类别:
Application of Technologies for Interactome Network Analyses of Cancer Mutations
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7847547 - 财政年份:2008
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$ 55.72万 - 项目类别:
Application of Technologies for Interactome Network Analyses of Cancer Mutations
癌症突变相互作用组网络分析技术的应用
- 批准号:
7364880 - 财政年份:2008
- 资助金额:
$ 55.72万 - 项目类别:
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