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Selective single cell isolation for genomics using microraft arrays

机译:使用微筏阵列进行基因组学的选择性单细胞分离

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Genomic methods are used increasingly to interrogate the individual cells that compose specific tissues. However, current methods for single cell isolation struggle to phenotypically differentiate specific cells in a heterogeneous population and rely primarily on the use of fluorescent markers. Many cellular phenotypes of interest are too complex to be measured by this approach, making it difficult to connect genotype and phenotype at the level of individual cells. Here we demonstrate that microraft arrays, which are arrays containing thousands of individual cell culture sites, can be used to select single cells based on a variety of phenotypes, such as cell surface markers, cell proliferation and drug response. We then show that a common genomic procedure, RNA-seq, can be readily adapted to the single cells isolated from these rafts. We show that data generated using microrafts and our modified RNA-seq protocol compared favorably with the Fluidigm C1. We then used microraft arrays to select pancreatic cancer cells that proliferate in spite of cytotoxic drug treatment. Our single cell RNA-seq data identified several expected and novel gene expression changes associated with early drug resistance.
机译:基因组方法越来越多地用于询问组成特定组织的单个细胞。然而,当前用于单细胞分离的方法难以在表型上分化异质群体中的特定细胞,并且主要依靠荧光标记物的使用。许多目的细胞表型过于复杂,无法通过这种方法进行测量,因此很难在单个细胞的水平上连接基因型和表型。在这里,我们证明微筏阵列(包含数千个单个细胞培养位点的阵列)可用于基于多种表型(例如细胞表面标记,细胞增殖和药物反应)选择单个细胞。然后,我们证明了常见的基因组程序RNA-seq可以很容易地适应从这些筏分离的单个细胞。我们显示,使用Microrafts和我们改良的RNA-seq协议生成的数据与Fluidigm C1相比具有优势。然后,我们使用微筏阵列选择了尽管进行细胞毒性药物治疗仍能增殖的胰腺癌细胞。我们的单细胞RNA-seq数据确定了一些与早期耐药相关的预期和新型基因表达变化。

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