Single cell tagging of localized RNA from whole populations
Single cell tagging of localized RNA from whole populations
批准号:
10266095
负责人:
GARY D STORMO
金额:
$33.86万
依托单位:
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:
2020-09-20 至 2023-07-31
关键词:
AffinityAnimal ModelAnimalsBar CodesBindingBinding ProteinsBiotechnologyCRISPR interferenceCRISPR libraryCatalogingCell Culture TechniquesCell SeparationCellsClustered Regularly Interspaced Short Palindromic RepeatsCodeComplexCustomCytoplasmic GranulesDNADNA SequenceDataData PoolingDevelopmentElementsGene ExpressionGene Expression RegulationGenesGeneticGenetic DiseasesGenetic ScreeningGenetic VariationGenetic studyGenomeGoalsGuide RNAIndividualInvertebratesLabelLentivirus VectorLigationLinkLocationMammalian CellMammalian GeneticsMeasuresMessenger RNAMethodsMitochondriaPoly UPoly(A) TailPopulationProteinsRNARNA analysisRNA-Binding ProteinsRNA-Directed DNA PolymeraseRegulatory ElementReporter GenesResolutionRibonucleasesRibosomal ProteinsRibosomesSamplingSpecificityTechnologyTissuesTranscriptUntranslated RNAViral VectorWorkaptamerbasedesigndisease phenotypeexperimental studygene functiongene repressiongenetic variantgenome editinghuman diseasein vivoknock-downmRNA taggingmammalian genomenew technologysingle cell analysissingle cell sequencingsingle cell technologysmall hairpin RNAtranscriptome
中文摘要
项目总结/摘要
该提案的目的是开发一种广泛适用的技术,称为SCALoP(单细胞
在整个群体上的局部RNA的分析),以测量单细胞中的基因表达,而不需要在单个细胞中进行局部RNA的分析。
需要对单个细胞进行技术上具有挑战性的操作。目前,大规模基因
基于新技术的屏幕在我们对哺乳动物的理解方面取得了重要进展
与人类疾病有关的基因组和遗传变异。然而,这些屏幕的功能受到
缺乏在这些大屏幕中测量基因表达的方法。我们提出的技术将填补这个
主要未满足的需求,从而对哺乳动物遗传学产生广泛影响。我们的目标是开发一种方法,
在合并的样品中使用RNA邻近连接将单细胞特异性序列条形码附接至转录物。
我们建议通过设计在细胞中表达并靶向特异性的条形码“tagRNA”来实现这一点。
RNA结合蛋白。这些tagRNA通过以下方式附着于来自同一单细胞的转录物:
邻位连接为了开发这种方法,我们的目标是1)优化和量化方法的效率,
连接tagRNA和细胞RNA,2)优化SCALoP的体内特异性和单细胞分辨率,以及3)
开发天然蛋白质和替代定位靶标的RNA适体。
英文摘要
Project Summary/Abstract
The objective of this proposal is to develop a broadly applicable technology, called SCALoP (Single Cell
Analysis of Localized RNA on whole Populations), to measure gene expression in single cells, without the
need to perform technically challenging manipulations on individual cells. Currently, large-scale genetic
screens based on new technologies are leading to important advances in our understanding of mammalian
genomes and genetic variation linked to human disease. However, the power of these screens is limited by the
lack of methods to measure gene expression in these large screens. Our proposed technology would fill this
major unmet need, and thus have a broad impact on mammalian genetics. Our goal is to develop a method to
attach single-cell-specific sequence barcodes to transcripts, using RNA proximity ligation in pooled samples.
We propose to do this by designing barcoded “tagRNAs” which are expressed in cells and targeted to specific
RNA binding proteins. These tagRNAs are attached to transcripts derived from the same single cell by
proximity ligation. To develop this method, our aims are 1) optimize and quantify the efficiency of methods to
link tagRNAs and cellular RNA, 2) optimize in vivo specificity and single cell resolution of SCALoP, and 3)
develop RNA aptamers to natural proteins and alternate location targets.
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Single cell tagging of localized RNA from whole populations
-
批准号:10096934
-
项目类别:
-
资助金额:$33.86万
-
财政年份:2020
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负责人:GARY D STORMO
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DNA PATTERN IDENTIFICATION AND ANALYSIS
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负责人:GARY D STORMO
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EXPLOITING MICROBIOME SEQUENCES FOR IMPROVED MODELS OF PROTEIN-DNA INTERACTIONS
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负责人:GARY D STORMO
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TRAINING PROGRAM IN COMPUTATIONAL BIOLOGY
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财政年份:2001
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负责人:GARY D STORMO
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负责人:GARY D STORMO
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负责人:GARY D STORMO
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依托单位:
海外基金