High Throughput Screen and High Information Follow-Up Tests for Genotoxicants
基因毒物的高通量筛选和高信息后续测试
基本信息
- 批准号:10605311
- 负责人:
- 金额:$ 68.25万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-04-08 至 2025-03-31
- 项目状态:未结题
- 来源:
- 关键词:Animal TestingBiological AssayBiological MarkersBuffersCanadaCell LineCell NucleusCellsCharacteristicsChemicalsCodeCollectionDNA DamageDNA Double Strand BreakDataData AnalysesData SetDevelopmentDiseaseDisparateDoseElementsEnd Point AssayEnvironmentExhibitsExperimental DesignsFlow CytometryFormulationFrequenciesFriendsGoalsHealthHistone H3HumanIn VitroIndustryLaboratoriesLogisticsMalignant NeoplasmsMeasurementMeasuresMetabolic ActivationMethodsMicrospheresMiniaturizationMitoticModelingModernizationMutagenicity TestsMutagensNational Toxicology ProgramNuclearPerformancePhasePolyploidyProcessProtease InhibitorReagentRecommendationReportingRisk AssessmentSamplingSchemeSensitivity and SpecificitySpecificitySpeedStatistical Data InterpretationSystemTP53 geneTechniquesTemperatureTestingTimeToxicogeneticsToxicologyTrainingValidationWorkblindcell typeclimate changecomputerized toolscytotoxicitydesignexperimental studyfollow-upgenotoxicityhigh throughput screeningimprovedinnovationinstrumentationmachine learning modelmicronucleusphosphatase inhibitorpreventprogramsprototyperepairedresponseresponse biomarkerscreeningtesting services
项目摘要
Project Summary
Current batteries of genetic toxicology assays exhibit several critical deficiencies. First, the throughput
capacity of in vitro genotoxicity tests is low, and does not meet current needs, especially for early, high volume
screening environments that need to prioritize chemicals for further testing and/or development. Second,
conventional assays provide simplistic binary calls, genotoxic or non-genotoxic. In this scheme there is little or
no information provided about genotoxic mode of action. This is severely limiting, as it does not generate key
information necessary for prioritizing chemicals for further testing, guiding subsequent assays’
endpoints/experimental designs, or conducting risk assessments. Finally, most current assays do not place
requisite emphasis on dose response relationships, and therefore do not contextualize the results in terms of
potency. These deficiencies prevent genotoxicity data from optimally contributing to modern risk assessments,
where all of these capabilities and high information content are essential. We will solve these issues by
developing, optimizing, and validating a two-tiered testing strategy based on multiplexed DNA damage
responsive biomarkers and high-speed flow cytometric analysis. The first-tier focuses on throughput and is
used to prioritize likely genotoxicants for more comprehensive analysis in second tier testing. Specifically, it
involves a collection of several multiplexed biomarkers that will be used to identify likely genotoxic agents and
provide a preliminary assessment of genotoxic mode of action. The gH2AX biomarker detects DNA double
strand breaks, phospho-histone H3 identifies mitotic cells, nuclear p53 content reports on p53 activation in
response to DNA damage, the frequency of 8n+ cells measure polyploidization, and the ratio of nuclei to
microsphere counts provides information about treatment-related cytotoxicity. The second tier focuses on
information content and considers many more concentrations as well as additional biomarkers, including
micronucleus formation. Collectively, the tier two results provide definitive predictions about test chemicals’
genotoxic potential, mode of action, and potency. Over the course of this project we will study more than 3,000
diverse chemicals in order to understand the performance characteristics and generalizability of the two-tiered
testing strategy. An interlaboratory trial will be conducted with prototype assay kits to assess the transferability
of the methods, with the ultimate goal of providing the Nation with commercially available kits and testing
services.
项目总结
项目成果
期刊论文数量(1)
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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Jeffrey C Bemis其他文献
Jeffrey C Bemis的其他文献
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{{ truncateString('Jeffrey C Bemis', 18)}}的其他基金
Modeling the Responsiveness of Sensitive Populations to Genotoxic Agents Using DNA Repair Inhibitors
使用 DNA 修复抑制剂模拟敏感人群对基因毒性药物的反应性
- 批准号:
10734425 - 财政年份:2023
- 资助金额:
$ 68.25万 - 项目类别:
High Throughput Screen and High Information Follow-Up Tests for Genotoxicants
基因毒物的高通量筛选和高信息后续测试
- 批准号:
10576559 - 财政年份:2022
- 资助金额:
$ 68.25万 - 项目类别:
High Throughput Screen and High Information Follow-Up Tests for Genotoxicants
基因毒物的高通量筛选和高信息后续测试
- 批准号:
10255405 - 财政年份:2021
- 资助金额:
$ 68.25万 - 项目类别:
Development of rat liver 3D organoid methods to address genotoxicity screening
开发大鼠肝脏 3D 类器官方法来解决遗传毒性筛查
- 批准号:
10075486 - 财政年份:2020
- 资助金额:
$ 68.25万 - 项目类别:
Next Generation Testing Strategies for Assessment of Genotoxicity
下一代遗传毒性评估测试策略
- 批准号:
9807074 - 财政年份:2018
- 资助金额:
$ 68.25万 - 项目类别:
Validation of Cross-Species Biomarkers of DNA Damage
DNA 损伤跨物种生物标志物的验证
- 批准号:
9769037 - 财政年份:2018
- 资助金额:
$ 68.25万 - 项目类别:
Biomarker Matrix for Genotoxicity Mode of Action
遗传毒性作用模式的生物标志物矩阵
- 批准号:
8712980 - 财政年份:2014
- 资助金额:
$ 68.25万 - 项目类别:
Biomarker Matrix for Genotoxicity Mode of Action
遗传毒性作用模式的生物标志物矩阵
- 批准号:
9002963 - 财政年份:2014
- 资助金额:
$ 68.25万 - 项目类别:
Biomarker Matrix for Genotoxicity Mode of Action
遗传毒性作用模式的生物标志物矩阵
- 批准号:
8914767 - 财政年份:2014
- 资助金额:
$ 68.25万 - 项目类别:
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