An Engineered Gene Network for Multicellular Pattern Formation
An Engineered Gene Network for Multicellular Pattern Formation
批准号:
7616783
负责人:
Jeffrey Jay Tabor
金额:
$5.01万
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:
2008-04-01 至 2010-03-31
关键词:
AdultAffectBindingBiologicalBiological AssayBiologyCandidate Disease GeneCell CommunicationCell modelCell surfaceCellsCommunitiesComputer SimulationDefectDevelopmentDiffuseDiffusionEmbryoEngineered GeneEngineeringEnzymesFeedbackFluorescence MicroscopyGene ExpressionGene Expression ProfileGenesGeneticGenetic EngineeringHigher Order Chromatin StructureHuman DevelopmentKineticsKnowledgeLeadLifeLimb structureMembraneModelingMolecularMonitorNucleic Acid Regulatory SequencesOrganOrganismPatternPattern FormationPopulationProcessProductionProteinsRadialReactionReporter GenesSignal TransductionSpottingsSynthetic GenesSystemTheoretical modelTimeTissuesTravelValidationbasebiological systemscell growthgenetic activatorimprovedin vivoinhibitor/antagonistintercellular communicationlate disease onsetmathematical modelpublic health relevancequorum sensingtranscription factortwo-dimensional
中文摘要
描述(由申请人提供):高度分化的多细胞生物来源于形态对称的胚胎,具有单一,谨慎的基因表达谱。这个显著的过程是由控制驱动形态变化的基因表达的遗传调控元件的等级组织网络控制的。这些遗传网络经常产生分子,这些分子通过扩散或通过细胞表面信号传导来调节自身的表达。这样的系统使多细胞模式成为可能,这是组织和器官等高级结构形成的基础。理论模型预测,在生物学中观察到的许多模式可以由一个由短程(局部)自激活剂和远程抑制剂组成的遗传系统产生。有趣的是,据预测,激活物-抑制剂网络可以在稍微不同的动力学参数下驱动多细胞斑点、条纹、振荡和行波模式。尽管许多候选基因网络已被提出使用激活-抑制剂策略来调节模式,但生物学的复杂性往往阻碍了分子水平的验证。该建议的重点是构建一个合成的,定义明确的激活因子-抑制剂基因网络,能够指导细胞群体中的模式形成。这个过程的第一步是构建一个能够引导扩散化合物在二维细胞群中的径向传播的自催化成分。这将基于细菌群体感应(细胞-细胞通信)系统。自催化繁殖系统将进一步发展,包括一种抑制剂成分,以便在生长的细胞群落中指示斑点和条纹图案。所选择的抑制剂成分将基于正交群体感应系统,并且将具有自由的膜扩散性,与扩散性较差的活化剂相比,可以实现长距离的抑制。“激活”状态将由荧光报告基因指示,在与细胞生长相容的条件下,模式形成将由延时荧光显微镜监测。一个包含所有工程基因成分的计算反应-扩散模型将用于研究影响图案形成的参数。公共卫生相关性:在人类发育过程中,细胞群必须协同工作,形成形成高级结构(如器官和四肢)的模式。细胞模式形成中的错误可导致成人多种发育缺陷和晚发性疾病。我们的目标是研究这些高度协调的模式形成过程的遗传机制,试图提高对自然和患病细胞状态的认识。
英文摘要
DESCRIPTION (provided by applicant): Highly differentiated multicellular organisms derive from morphologically symmetrical embryos with a single, discreet gene expression profile. This remarkable process is controlled by hierarchically organized networks of genetic regulatory elements which control the expression of the genes that drive morphological changes. These genetic networks frequently produce molecules which spread by diffusion or through cell surface signaling to regulate their own expression. Such systems enable multicellular patterning, the basis for the formation of higher order structures such as tissues and organs. Theoretical models have predicted that many patterns observed in biology can be generated by a genetic system composed of a short-ranging (local) self-activator and a long-ranging inhibitor. Intriguingly, the activator-inhibitor network is predicted to drive patterns of multicellular spots, stripes, oscillations and traveling waves under only slightly different kinetic parameters. Although many candidate gene networks have been proposed to use the activator- inhibitor strategy to regulate patterning, the complexity of biology has often precluded molecular-level validation. This proposal focuses on the construction of a synthetic, well-defined activator-inhibitor gene network capable of guiding pattern formation in populations of cells. The first step in this process is the construction of an autocatalytic component capable of guiding the radial propagation of a diffusible compound across a two-dimensional population of cells. This will be based on bacterial quorum sensing (cell-cell communication) systems. The autocatalytic propagation system will then be advanced to include an inhibitor component in order to dictate spot and stripe patterning within a community of growing cells. The inhibitor component selected will be based on an orthogonal quorum sensing system and will be freely membrane diffusible, enabling long range inhibition as compared to the less diffusible activator. The 'activated' state will be indicated by a fluorescent reporter gene and pattern formation will be monitored by time-lapse fluorescence microscopy under conditions compatible with cell growth. A computational reaction- diffusion model incorporating all engineered genetic components will be used to investigate the parameters affecting pattern formation. PUBLIC HEALTH RELEVANCE: During human development, groups of cells must function in concert to form the patterns which give rise to higher-order structures such as organs, and limbs. Errors in cellular pattern formation can result in a multitude of developmental defects as well as late onset diseases in adults. We aim to investigate the genetic mechanisms underlying these highly orchestrated pattern formation processes in an attempt to improve knowledge of natural and diseased cellular states.
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会议论文
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海外基金