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Population transcriptomics with single-cell resolution: A new field made possible by microfluidics

机译：具有单细胞分辨率的群体转录组学：微流体技术使一个新领域成为可能

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摘要

Tissues contain complex populations of cells. Like countries, which are comprised of mixed populations of people, tissues are not homogeneous. Gene expression studies that analyze entire populations of cells from tissues as a mixture are blind to this diversity. Thus, critical information is lost when studying samples rich in specialized but diverse cells such as tumors, iPS colonies, or brain tissue. High throughput methods are needed to address, model and understand the constitutive and stochastic differences between individual cells. Here, we describe microfluidics technologies that utilize a combination of molecular biology and miniaturized labs on chips to study gene expression at the single cell level. We discuss how the characterization of the transcriptome of each cell in a sample will open a new field in gene expression analysis, population transcriptomics, that will change the academic and biomedical analysis of complex samples by defining them as quantified populations of single cells.
机译：组织包含复杂的细胞群。像由混合人群组成的国家一样，组织也不相同。基因表达研究以混合物的形式分析了来自组织的整个细胞群，因此看不到这种多样性。因此，在研究富含特殊但多样的细胞（例如肿瘤，iPS菌落或脑组织）的样品时，关键信息会丢失。需要高通量方法来解决，建模和理解各个单元之间的本构和随机差异。在这里，我们描述了微流体技术，该技术利用分子生物学和芯片上的小型实验室的组合来研究单细胞水平的基因表达。我们讨论了样品中每个细胞的转录组表征将如何为基因表达分析（群体转录组学）开辟一个新领域，它将通过将复杂样品定义为定量的单细胞群体来改变复杂样品的学术和生物医学分析。

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