High-throughput multi-modal analysis of natural variation in C. elegans healthspan
High-throughput multi-modal analysis of natural variation in C. elegans healthspan
批准号:
9317070
负责人:
Erik Christian Andersen
金额:
$24.04万
依托单位国家:
美国
项目类别:
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-08-01 至 2019-05-31
关键词:
AdultAffectAgeAgingAnimal ModelAnimalsAreaBehaviorBiological AssayBiology of AgingCaenorhabditis elegansChromosome MappingChronologyCollectionComplexDataData SetFoundationsFutureGenesGeneticGenetic studyGenotypeHealthHumanImageIndividualInvestigationLaboratoriesLifeLightLongevityManualsMeasurementMeasuresMethodsModalityModelingMolecularNematodaPathway interactionsPhenotypePigmentsPopulationQuality of lifeQuantitative GeneticsReproducibilityResearchResistanceStressStructureStudy modelsSystemUnmarried personVariantWorkbasecohortexperimental studyfeedinggene discoverygenetic associationgenetic variantgenome sequencinggenome-widehealthy agingimaging platformimaging systemimprovedinsightinsulin signalingmultimodalitynovelphenotypic dataproteostasisresponsetooltraitwhole genome
中文摘要
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英文摘要
PROJECT SUMMARY
A substantial fraction of the variation in aging can be explained by genetics, but little is known about what
these genetic factors are and how they modulate healthy aging. Much of our fundamental understanding of
mechanisms that modulate aging, including insulin signaling and proteostasis pathways, come from the study
of the model nematode Caenorhabditis elegans. Nearly all C. elegans aging studies use a single laboratory-
adapted strain with little connection to natural variation. In this project we aim to establish C. elegans as a
model for natural variation in aging. First we will develop a system for multi-modal automated healthspan
assays based on a previously developed `WorMotel' microfabricated multi-well imaging platform. Second, we
will carry out longitudinal assays on 16 genotypically diverged wild-isolate C. elegans strains to determine traits
correlated with healthspan decline. Our results will set the stage for comprehensive mechanistic analysis of
genes underlying natural variation in aging. The combination of high-throughput healthspan analysis and
quantitative genetics methods will be particularly powerful for delineating genetic causes of a complex
healthspan phenotype, providing the first mechanistic understanding of natural variation in metazoan aging.
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海外基金