High Throughput Screen and High Information Follow-Up Tests for Genotoxicants
High Throughput Screen and High Information Follow-Up Tests for Genotoxicants
批准号:
10255405
负责人:
Jeffrey C Bemis
金额:
$20.47万
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-04-03 至 2022-03-31
关键词:
AddressAnimal TestingBiological AssayBiological MarkersBuffersCanadaCell LineCell NucleusCellsCharacteristicsChemicalsCodeCollectionDNA DamageDNA Double Strand BreakDNA RepairDataData AnalysesData SetDevelopmentDiseaseDoseElementsEnd Point AssayEnvironmentExhibitsExperimental DesignsFlow CytometryFormulationFrequenciesGoalsHealthHistone H3HumanIn VitroIndustryLogisticsMachine LearningMalignant NeoplasmsMeasurementMeasuresMetabolic ActivationMethodsMicrospheresMiniaturizationMitoticModelingModernizationMutagenicity TestsMutagensNational Toxicology ProgramNuclearPerformancePhaseProcessProtease InhibitorReagentRecommendationReportingRisk AssessmentSamplingSchemeSensitivity and SpecificitySpeedStatistical Data InterpretationSystemTP53 geneTechniquesTemperatureTestingTimeToxicogeneticsToxicologyTrainingValidationWorkbaseblindcell typeclimate changecomputerized toolscytotoxicitydesignexperimental studyfollow-upgenotoxicityhigh throughput screeningimprovedinnovationinstrumentationmicronucleusphosphatase inhibitorpreventprogramsprototyperesponseresponse biomarkerscreeningtesting services
中文摘要
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英文摘要
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.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Modeling the Responsiveness of Sensitive Populations to Genotoxic Agents Using DNA Repair Inhibitors
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批准号:10734425
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项目类别:
-
资助金额:$23.03万
-
财政年份:2023
-
负责人:Jeffrey C Bemis
-
依托单位:
High Throughput Screen and High Information Follow-Up Tests for Genotoxicants
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批准号:10605311
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项目类别:
-
资助金额:$68.25万
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财政年份:2022
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负责人:Jeffrey C Bemis
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依托单位:
High Throughput Screen and High Information Follow-Up Tests for Genotoxicants
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批准号:10576559
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项目类别:
-
资助金额:$94.51万
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财政年份:2022
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负责人:Jeffrey C Bemis
-
依托单位:
Development of rat liver 3D organoid methods to address genotoxicity screening
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批准号:10075486
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项目类别:
-
资助金额:$17.66万
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财政年份:2020
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负责人:Jeffrey C Bemis
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依托单位:
Next Generation Testing Strategies for Assessment of Genotoxicity
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批准号:9807074
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项目类别:
-
资助金额:$48.23万
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财政年份:2018
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负责人:Jeffrey C Bemis
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依托单位:
Validation of Cross-Species Biomarkers of DNA Damage
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批准号:9769037
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项目类别:
-
资助金额:$61.75万
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财政年份:2018
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负责人:Jeffrey C Bemis
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依托单位:
Automation of a Liver Genotoxicity Assay
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批准号:9038484
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项目类别:
-
资助金额:$17.26万
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财政年份:2016
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负责人:Jeffrey C Bemis
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依托单位:
Biomarker Matrix for Genotoxicity Mode of Action
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批准号:8712980
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项目类别:
-
资助金额:$15.0万
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财政年份:2014
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负责人:Jeffrey C Bemis
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依托单位:
Biomarker Matrix for Genotoxicity Mode of Action
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批准号:9002963
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项目类别:
-
资助金额:$48.36万
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财政年份:2014
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负责人:Jeffrey C Bemis
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依托单位:
Biomarker Matrix for Genotoxicity Mode of Action
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批准号:8914767
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项目类别:
-
资助金额:$49.29万
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财政年份:2014
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负责人:Jeffrey C Bemis
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依托单位:
Rapid Assessment of Radiation Exposure
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批准号:8542594
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项目类别:
-
资助金额:$22.34万
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财政年份:2012
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负责人:Jeffrey C Bemis
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依托单位:
Rapid Assessment of Radiation Exposure
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批准号:8251496
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项目类别:
-
资助金额:$25.82万
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财政年份:2012
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负责人:Jeffrey C Bemis
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依托单位:
Tools to Study Mammalian Mutagenesis
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批准号:8313569
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项目类别:
-
资助金额:$20.0万
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财政年份:2012
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负责人:Jeffrey C Bemis
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依托单位:
Tools to Study Mammalian Mutagenesis
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批准号:8609570
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项目类别:
-
资助金额:$56.68万
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财政年份:2012
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负责人:Jeffrey C Bemis
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依托单位:
Tools to Study Mammalian Mutagenesis
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批准号:8472642
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项目类别:
-
资助金额:$56.68万
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财政年份:2012
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负责人:Jeffrey C Bemis
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依托单位:
Rapid Radiation Dose Estimation
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批准号:7804707
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项目类别:
-
资助金额:$30.0万
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财政年份:2010
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负责人:Jeffrey C Bemis
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依托单位:
Rapid Radiation Dose Estimation
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批准号:8049177
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项目类别:
-
资助金额:$30.0万
-
财政年份:2010
-
负责人:Jeffrey C Bemis
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依托单位:
海外基金