Quantitative control of macrophage signaling and inflammation thresholds
巨噬细胞信号传导和炎症阈值的定量控制
基本信息
- 批准号:9216991
- 负责人:
- 金额:$ 16.2万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-01-17 至 2019-12-31
- 项目状态:已结题
- 来源:
- 关键词:AddressAwardBacteriaBiologyCareer MobilityCellsChronicChronic DiseaseChronic Obstructive Airway DiseaseCollaborationsComplexComputer SimulationDataDecision MakingDevelopmentDiseaseEnvironmentEnvironmental Risk FactorEtiologyEvaluationExhibitsExperimental ModelsExposure toFacultyFoundationsFundingGastrointestinal DiseasesGastrointestinal tract structureGene ExpressionGene Expression ProfileGeneticGenetic TranscriptionGenetic VariationGoalsHumanImmuneImmune Cell ActivationImmunologyInfectionInflammationInflammation MediatorsInflammatoryInflammatory Bowel DiseasesInflammatory ResponseInnate Immune SystemInternationalKineticsLaboratoriesLicensingLigationLinkLungMAP Kinase GeneMAPK14 geneMediatingMentorsMicrobeMinorNF-kappa BNatural ImmunityPathologyPathway interactionsPattern recognition receptorPharmacologyPhosphoric Monoester HydrolasesPlayPositioning AttributeProcessProductionProtein phosphatasePsoriasisReceptor SignalingRegulationResearchResearch PersonnelRespiratory SystemRespiratory Tract DiseasesRheumatoid ArthritisRoleShapesSignal InductionSignal TransductionSiteSmall IntestinesStimulusSystemTechnical ExpertiseTestingTherapeuticTissuesTranslatingTranslational ActivationVariantWorkbasecareercareer developmentclinically relevantcytokineexperienceexperimental studygene inductiongenome wide association studygut microbiotaimmunoregulationin vivoinflammatory lung diseaseinsightmacrophagemeetingsmicrobialmicrobiotapreventrespiratory microbiotaresponsesuccesstargeted treatmenttenure tracktherapeutic targettreatment optimization
项目摘要
Project Summary
My career goals are to obtain a tenure-track faculty position and to establish a laboratory that uses quantitative
approaches to elucidate complex in vivo immune regulation. The objective of my work is to understand how
genetic or environment-induced variation in negative regulators can influence the sensitivity of innate immune
cells to inflammatory stimuli. Research at the interface of immunology and computation promises to advance
our understanding of dynamic signaling circuits that translate stimuli quality and quantity into the appropriate
functional response, thus informing therapeutic strategies that target these pathways. My previous experience
in assessment of in vivo immune cell activation, quantitative signaling analysis, and computational modeling
puts me in an excellent position to work at the intersection of these fields.
Innate immune sensing of microbial stimuli must be tightly regulated to support robust protective inflammatory
responses to infection, while avoiding inflammation upon minor challenges at barrier sites. The threshold for
inflammatory responses is dictated by strict control of MAPK activity. While the activating components of this
pathway have been well studied, a fundamental challenge in inflammation research is to understand the
negative regulation that scales these signals to facilitate quantitative decision-making within cells. Genome
wide association studies have linked MAPK-regulating phosphatases with chronic inflammatory diseases of the
respiratory and gastrointestinal tracts, and changes in microbiota composition in these barrier tissues are also
associated with inflammatory disease. Considering the mixed success of attempts to therapeutically target
MAPK in a variety of such diseases, elucidating the influence of disease-associated genetic factors and
microbiota-dependent stimuli on MAPK regulation may inform treatment optimization. The objective of this
proposal is to illuminate regulatory mechanisms that support quantitative control of microbe-induced signaling
thresholds in macrophages and to determine whether these thresholds are distinctly regulated in barrier
tissues. The studies proposed in Aim 1 will use a combination of quantitative experimental and computational
modeling approaches to address the role of phosphatase regulation at the transcriptional and post-translational
levels on scaling of MAPK activation dynamics. These efforts will yield insight into how changes in the
expression or activity of key regulators, resulting from genetic variation, tissue-specific signals, or
pharmacological manipulation, can tune macrophage sensitivity to microbial products. The experiments
proposed in Aim 2 will interrogate distinct signaling tuning in barrier tissues, specifically the small intestine and
lung, and will address the role of microbiota-dependent stimuli in regulation of macrophage signaling, both in
the steady state and in response to minor inflammatory challenge. Tuning of macrophage signaling may play a
critical role in dampening inflammatory responses in barrier tissues, and thus our efforts to elucidate regulation
and dysregulation of this process will inform mechanistic links between disease-associated genetic factors,
changes in the microbiota, and inflammatory disease development.
While pursuing the research strategy described above, I will work with Drs. Martin Meier-Schellershiem, Michel
Tremblay, and Yasmine Belkaid to gain technical skills and enhance my expertise in computational modeling,
protein phosphatases, and study of the microbiota. My current mentor, Dr. Ronald Germain, has supported me
in forming these collaborations and in presenting my research prominently at several international scientific
meetings. These opportunities have helped me to establish my reputation as an investigator at the intersection
of quantitative biology, signaling, and innate immunity transitioning to independence, and to form long-term
colleagues to provide support and outside evaluation of my work during this transition. I will also seek advice
from my early career mentors Drs. Peter Savage and Suzanne Gaudet, who have recently navigated the
process of career transition. By supporting the completion of the proposed aims and the associated career
development opportunities, this award will help me to establish the necessary foundation for additional funding
and for my successful transition to scientific independence.
项目概要
我的职业目标是获得终身教职并建立一个使用定量技术的实验室
阐明复杂的体内免疫调节的方法。我工作的目标是了解如何
遗传或环境引起的负调节因子变异可以影响先天免疫的敏感性
细胞对炎症刺激。免疫学和计算接口的研究有望取得进展
我们对动态信号电路的理解,将刺激的质量和数量转化为适当的信号
功能反应,从而为针对这些途径的治疗策略提供信息。我之前的经历
用于评估体内免疫细胞激活、定量信号分析和计算模型
让我处于在这些领域交叉领域工作的绝佳位置。
必须严格调节微生物刺激的先天免疫感应,以支持强大的保护性炎症
对感染的反应,同时避免屏障部位的轻微挑战引起炎症。阈值为
炎症反应是由 MAPK 活性的严格控制决定的。虽然这种活性成分
途径已得到充分研究,炎症研究的一个基本挑战是了解
负调节可缩放这些信号以促进细胞内的定量决策。基因组
广泛关联研究已将 MAPK 调节磷酸酶与慢性炎症性疾病联系起来
呼吸道和胃肠道,以及这些屏障组织中微生物群组成的变化
与炎症性疾病有关。考虑到治疗目标的尝试取得了不同程度的成功
MAPK在多种此类疾病中的作用,阐明了疾病相关遗传因素的影响和
MAPK 调节的微生物群依赖性刺激可能有助于优化治疗。此举的目的
提案旨在阐明支持微生物诱导信号定量控制的调控机制
巨噬细胞中的阈值并确定这些阈值是否在屏障中受到明显调节
组织。目标 1 中提出的研究将结合定量实验和计算
解决磷酸酶调节在转录和翻译后的作用的建模方法
MAPK 激活动态缩放的水平。这些努力将深入了解
关键调节因子的表达或活性,由遗传变异、组织特异性信号或
药理学操作,可以调节巨噬细胞对微生物产物的敏感性。实验
目标 2 中提出的将询问屏障组织中不同的信号调节,特别是小肠和
肺,并将探讨微生物群依赖性刺激在巨噬细胞信号传导调节中的作用,无论是在
稳定状态并响应轻微的炎症挑战。巨噬细胞信号传导的调节可能发挥作用
在抑制屏障组织炎症反应中发挥关键作用,因此我们努力阐明调节
这一过程的失调将揭示疾病相关遗传因素之间的机制联系,
微生物群的变化和炎症性疾病的发展。
在追求上述研究策略的同时,我将与博士一起工作。马丁·迈尔-谢勒施姆,米歇尔
Tremblay 和 Yasmine Belkaid 获得技术技能并增强我在计算建模方面的专业知识,
蛋白质磷酸酶和微生物群的研究。我现在的导师 Ronald Germain 博士一直支持我
在形成这些合作以及在几个国际科学会议上突出展示我的研究
会议。这些机会帮助我建立了作为十字路口调查员的声誉
定量生物学、信号传导和先天免疫向独立过渡,并形成长期的
在此过渡期间,同事们为我的工作提供支持和外部评价。我也会寻求建议
来自我早期职业生涯的导师 Drs。彼得·萨维奇 (Peter Savage) 和苏珊娜·高德 (Suzanne Gaudet) 最近在
职业转变的过程。通过支持完成拟议的目标和相关的职业
发展机会,该奖项将帮助我为额外资金奠定必要的基础
以及我成功过渡到科学独立。
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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Rachel A Gottschalk其他文献
Rachel A Gottschalk的其他文献
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{{ truncateString('Rachel A Gottschalk', 18)}}的其他基金
Linking steady-state cytokine signaling to alveolar macrophage function in homeostasis and lung infection
将稳态细胞因子信号传导与体内平衡和肺部感染中的肺泡巨噬细胞功能联系起来
- 批准号:
10816167 - 财政年份:2022
- 资助金额:
$ 16.2万 - 项目类别:
Quantitative control of phosphorylation and mechanistic links to immune cell decisions
磷酸化的定量控制和与免疫细胞决策的机制联系
- 批准号:
10668527 - 财政年份:2022
- 资助金额:
$ 16.2万 - 项目类别:
Linking steady-state cytokine signaling to alveolar macrophage function in homeostasis and lung infection
将稳态细胞因子信号传导与体内平衡和肺部感染中的肺泡巨噬细胞功能联系起来
- 批准号:
10414842 - 财政年份:2022
- 资助金额:
$ 16.2万 - 项目类别:
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