High-precision pooled screening for quantitative molecular phenotypes
High-precision pooled screening for quantitative molecular phenotypes
批准号:
10462811
负责人:
NICHOLAS T INGOLIA
金额:
$30.66万
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-09-01 至 2024-08-31
关键词:
AddressAffectBar CodesBiologicalBiological ProcessCRISPR screenCRISPR/Cas technologyCell physiologyCellsChromosome MappingComplexDNADataDependenceEngineeringEventGene ExpressionGene SilencingGenesGeneticGenetic EpistasisGenetic ScreeningGenetic TranscriptionGenomeGrowthGuide RNAHumanIndividualLabelLeadLearningLibrariesLinkMammalian CellMeasurementMeasuresMolecularMonitorMutagenesisMutationNucleotidesOrganismOutcomePathway interactionsPatternPhenotypePopulationPopulation SizesProcessProteinsRNAReagentRegulationReporterReportingResolutionResourcesSaccharomycetalesSignal PathwaySignal TransductionSorting - Cell MovementSourceSpecific qualifier valueSystemTechniquesTransgenic OrganismsTranslatingTranslationscell growthcomputerized toolsdeep sequencingexperimental studygene functiongenetic profilinggenome-wideinsightinterestmolecular phenotypenovelprecision geneticsprogramspromoterresponsescreeningtooltranscription factor
中文摘要
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英文摘要
ABSTRACT
The RNA-guided DNA recognition of CRISPR/Cas9 now enables comprehensive genetic
screening in mammalian cells and other previously intractable systems. CRISPR/Cas9 provides
highly programmable genetic perturbation through DNA cleavage, transcriptional inhibition, or
targeted mutagenesis. Measuring the phenotypes associated with these genetic perturbations
remains a challenge, and this often represents the greatest barrier to mapping the genetic
dependencies of important biological processes.
We propose to develop a general approach that links molecular phenotypes with the targeting
guide RNAs that induce those effects in a large, pooled cell population. We label distinct guide
RNAs with unique nucleotide barcodes that are expressed in an RNA reporter, linking the RNA
abundance of the barcode to intracellular processes of interest. Our system can directly monitor
transcriptional, post-transcriptional, and post-translational responses, allowing us to couple it
with a wide array of intracellular signals. These expression measurements are well suited for
epistasis analysis, which can identify genetic pathways and uncover novel gene functions
through correlated patterns of genetic interaction from quantitative phenotypic profiles. We will
make available our validated reagents for implementing this screening approach in budding
yeast and in mammalian cells, providing a broadly useful resource for high-precision genetic
profiling.
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海外基金