Immunodiversity of plant receptor kinase networks for synthetic circuit design
用于合成电路设计的植物受体激酶网络的免疫多样性
基本信息
- 批准号:10709286
- 负责人:
- 金额:$ 37.93万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-08-01 至 2028-07-31
- 项目状态:未结题
- 来源:
- 关键词:AgonistAmino Acid SubstitutionAnimalsBAK1 geneBindingBinding SitesBiotechnologyCell Surface ReceptorsDNA LibraryEngineeringEpitopesEvolutionG-Protein-Coupled ReceptorsGene FamilyGenesGenomeGenomicsHeterodimerizationHumanHuman EngineeringImmuneImmune signalingImmune systemImmunoglobulinsImmunologic ReceptorsInflammationLeucine-Rich RepeatLibrariesLifeLigand BindingLigandsMedicineMolecular BiologyMonitorNatural ImmunityOrphanPathway interactionsPeptidesPhosphorylationPhosphotransferasesPlant ModelPlantsProtein KinaseProteinsReceptor ActivationReceptor GeneReporterSignal PathwaySignal TransductionSpecificityStructureToll-like receptorsVariantYeast Model Systemdesignextracellularinsightnetwork architecturepathogenprotein aminoacid sequencereceptorreconstructionscaffoldsensorsynthetic constructtool
项目摘要
PROJECT SUMMARY
Immune systems across kingdoms of life recognize pathogen-associated molecules through germline-encoded
innate immune receptors. Receptor repertoires in plants have evolved to detect an especially diverse set of
ligands due to massive expansion of the receptor kinase gene family with specialized ligand recognition
functions. Pairing receptor sequence diversity with specific recognition functions across 100 million RK genes
(350,000 plant species * 500 receptors per genome) is a grand challenge in plant molecular biology. It also
presents the opportunity to develop a new class of protein-based sensors for biotechnology. The Steinbrenner
lab aims to characterize and deploy this vast plant immunodiversity for ligand-induced modulation of
engineered signaling pathways.
First, we will define the full ligand space that is monitored by plant receptors by focusing on the large subfamily
of leucine-rich repeat receptor kinases (termed receptors here) which bind small peptide epitopes to initiate
immune signaling. We will combine evolution- and structure-guided approaches to decode the basis of
receptor:ligand specificity, including an extensive phylogenomic analysis, peptide variant libraries, and
ancestral sequence reconstruction. We hypothesize that transitions in ligand specificity are marked by amino
acid substitutions in predicted ligand binding sites among ancestral receptor genes. For “orphan” receptors
lacking defined functions, we will conduct a genomic screen using synthetic DNA libraries encoding candidate
pathogen epitopes using both plant and yeast models as reporters for receptor activation. We hypothesize that
most receptors involved in plant innate immunity will be activated by specific pathogen-derived peptide
sequences. Combined, these approaches will provide basic insights into receptor:ligand specificity as well as a
toolkit of extracellular sensor domains responsive to specific peptide agonists.
Second, we will leverage the unique network architecture of plant immune networks to engineer synthetic
signaling pathways that do not interfere with endogenous animal signaling pathways. The plant receptors
studied here signal through heterodimerization with a common co-receptor called BAK1. Co-receptor activation
culminates in phosphorylation of substrates based on defined phosphocode motifs. We are currently
engineering the human inflammation signaling pathway to accept orthogonal input from plant receptors by
incorporating plant kinase substrates into specific, phosphoregulated signaling factors. In parallel, we will use
plant receptor:co-receptor heterodimerization as a platform to scaffold endogenous human immune signaling
domains from Toll-like receptors. We hypothesize that engineered pathways will allow modular tuning by
diverse peptide ligands, providing an alternative to current immunoglobulin or GPCR-based synthetic tools. In
summary our lab is poised to deploy tools for receptor de-orphanization and signaling pathway engineering to
leverage the immense diversity driven by plant-pathogen co-evolution. (30 lines)
项目概要
生命王国中的免疫系统通过种系编码识别病原体相关分子
先天免疫受体。植物中的受体库已经进化到可以检测一组特别多样化的受体
由于具有专门配体识别功能的受体激酶基因家族的大量扩展而产生的配体
功能。将受体序列多样性与 1 亿个 RK 基因的特定识别功能配对
(350,000种植物物种*每个基因组500个受体)是植物分子生物学的巨大挑战。它还
提供了开发新型基于蛋白质的生物技术传感器的机会。斯坦布伦纳
实验室旨在表征和部署这种巨大的植物免疫多样性,以进行配体诱导的调节
工程信号通路。
首先,我们将通过关注大亚家族来定义植物受体监测的完整配体空间
富含亮氨酸的重复受体激酶(此处称为受体),其结合小肽表位以启动
免疫信号传导。我们将结合进化和结构引导的方法来解码
受体:配体特异性,包括广泛的系统发育分析、肽变体库和
祖先序列重建。我们假设配体特异性的转变以氨基为标志
祖先受体基因中预测的配体结合位点的酸取代。对于“孤儿”受体
由于缺乏定义的功能,我们将使用编码候选的合成 DNA 文库进行基因组筛选
使用植物和酵母模型作为受体激活报告基因的病原体表位。我们假设
大多数参与植物先天免疫的受体将被特定的病原体衍生肽激活
序列。结合起来,这些方法将为受体:配体特异性以及
响应特定肽激动剂的细胞外传感器域工具包。
其次,我们将利用植物免疫网络独特的网络架构来设计合成
不干扰内源性动物信号传导途径的信号传导途径。植物受体
这里研究的是通过与称为 BAK1 的共同受体的异二聚化产生的信号。辅助受体激活
最终导致基于定义的磷酸化密码基序的底物磷酸化。我们目前
设计人类炎症信号通路以接受来自植物受体的正交输入
将植物激酶底物纳入特定的磷酸调节信号因子中。同时,我们将使用
植物受体:共受体异二聚化作为支架内源性人类免疫信号传导的平台
Toll 样受体的结构域。我们假设工程化途径将允许通过以下方式进行模块化调整
多种肽配体,为当前免疫球蛋白或基于 GPCR 的合成工具提供了替代方案。在
摘要我们的实验室准备部署受体去孤儿化和信号通路工程工具
利用植物-病原体共同进化驱动的巨大多样性。 (30行)
项目成果
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Adam D Steinbrenner其他文献
Adam D Steinbrenner的其他文献
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