Omics for TB: Response to Infection and Treatment
结核病组学:对感染和治疗的反应
基本信息
- 批准号:10339369
- 负责人:
- 金额:$ 334.54万
- 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:2018-02-12 至 2024-01-31
- 项目状态:已结题
- 来源:
- 关键词:AddressAffectBacteriaBiologicalCessation of lifeClinicalCollectionCommunicable DiseasesCommunitiesComplexDataData SetDiseaseDisease OutcomeDisease ProgressionEicosanoidsElementsGenetic TranscriptionGoalsHumanImmunologic ReceptorsInfectionInflammatory ResponseInfrastructureMass Spectrum AnalysisMethodologyModelingMolecular ProfilingMouse StrainsMultiplexed Ion Beam ImagingMusMycobacterium tuberculosisNetwork-basedOutcomePersonsPharmaceutical PreparationsPhenotypePredispositionProteomicsReagentReceptor ActivationRecordsResearchResearch PersonnelResourcesSamplingSymptomsSystemSystems AnalysisSystems BiologyTechnologyTimeTreatment outcomeTuberculosisVaccinesWorkbasebiological heterogeneitychemotherapycombatcost effectivedata toolsdesigndrug-sensitivegene regulatory networkglobal health emergencyhigh riskin vivolipidomicsmachine learning modelmembermetabolomicsmouse modelnetwork modelsnovelpandemic diseasepathogenpredictive signatureprogramsprotein protein interactionresponsetooltranscriptomicstreatment responsetuberculosis treatment
项目摘要
Abstract – Overview
With about 10 million new cases of active disease and 1.8 million deaths annually, TB is a global health
emergency. A distinguishing feature of TB disease is its biological heterogeneity, which manifests at the clinical
level chiefly in 2 forms: disease progression and treatment response. The premise of this Program is that the
heterogeneous outcomes of TB infection and treatment are determined by the interplay of competing
regulatory networks between the pathogen and the host. Our primary goal is to apply systems biology
approaches to elucidate the biological control underlying the variability of disease outcome and response to
treatment. Our first specific aim is to define novel host regulators of TB disease progression in vivo, and the
innate and adaptive networks they control. We will also seek to define novel Mtb regulators of TB treatment
response, and the Mtb regulatory networks that they control. This work will allow us to produce and validate
host and Mtb models of TB disease progression and treatment response. Altogether, this program addresses
key unanswered questions that stymie efforts to combat the TB pandemic. Our team has perfected the
required platforms and scientific approaches to execute this ambitious research plan in a timely and cost-
effective manner. All the participating investigators have strong records of interacting productively, and of
disseminating their data and reagents to the scientific community.
摘要 – 概述
结核病是一种全球健康问题,每年约有 1000 万新发活动性疾病病例和 180 万人死亡
紧急情况。结核病的一个显着特征是其生物异质性,这体现在临床上
水平主要有两种形式:疾病进展和治疗反应。该计划的前提是
结核病感染和治疗的异质性结果是由相互竞争的相互作用决定的
病原体和宿主之间的调节网络。我们的主要目标是应用系统生物学
阐明疾病结果和反应变异性背后的生物控制的方法
治疗。我们的第一个具体目标是定义体内结核病进展的新宿主调节因子,以及
他们控制的先天和适应性网络。我们还将寻求定义结核病治疗的新型结核病调节剂
响应,以及他们控制的 Mtb 监管网络。这项工作将使我们能够生产和验证
结核病进展和治疗反应的宿主和结核分枝杆菌模型。总而言之,该程序解决了
阻碍抗击结核病大流行的努力的关键未解问题。我们的团队已经完善了
需要平台和科学方法来及时且成本低廉地执行这一雄心勃勃的研究计划
有效的方式。所有参与的研究人员都有良好的有效互动记录,并且
向科学界传播他们的数据和试剂。
项目成果
期刊论文数量(11)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Genetic Modification of Primary Human Myeloid Cells to Study Cell Migration, Activation, and Organelle Dynamics.
- DOI:10.1002/cpz1.514
- 发表时间:2022-08
- 期刊:
- 影响因子:0
- 作者:Greiner, Daniel;Scott, Tiana M;Olson, Gregory S;Aderem, Alan;Roh-Johnson, Minna;Johnson, Jarrod S
- 通讯作者:Johnson, Jarrod S
Experimental and Computational Workflow for RNA Sequencing in Mycobacterium tuberculosis : From Total RNA to Differentially Expressed Genes.
结核分枝杆菌 RNA 测序的实验和计算工作流程:从总 RNA 到差异表达基因。
- DOI:10.1007/978-1-0716-1460-0_21
- 发表时间:2021
- 期刊:
- 影响因子:0
- 作者:Ma,Shuyi;JonesJr,RichardM;Gleason,NatalieS;Farrow-Johnson,Jessica;Sherman,DavidR
- 通讯作者:Sherman,DavidR
The evolving biology of Mycobacterium tuberculosis drug resistance.
- DOI:10.3389/fcimb.2022.1027394
- 发表时间:2022
- 期刊:
- 影响因子:5.7
- 作者:
- 通讯作者:
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