Flynn James M, Santana Luis F, Melov Simon
Buck Institute for Research on Aging.
J Vis Exp. 2011 Dec 28(58):e3302. doi: 10.3791/3302.
While numerous studies have examined gene expression changes from homogenates of heart tissue, this prevents studying the inherent stochastic variation between cells within a tissue. Isolation of pure cardiomyocyte populations through a collagenase perfusion of mouse hearts facilitates the generation of single cell microarrays for whole transcriptome gene expression, or qPCR of specific targets using nanofluidic arrays. We describe here a procedure to examine single cell gene expression profiles of cardiomyocytes isolated from the heart. This paradigm allows for the evaluation of metrics of interest which are not reliant on the mean (for example variance between cells within a tissue) which is not possible when using conventional whole tissue workflows for the evaluation of gene expression (Figure 1). We have achieved robust amplification of the single cell transcriptome yielding micrograms of double stranded cDNA that facilitates the use of microarrays on individual cells. In the procedure we describe the use of NimbleGen arrays which were selected for their ease of use and ability to customize their design. Alternatively, a reverse transcriptase - specific target amplification (RT-STA) reaction, allows for qPCR of hundreds of targets by nanofluidic PCR. Using either of these approaches, it is possible to examine the variability of expression between cells, as well as examining expression profiles of rare cell types from within a tissue. Overall, the single cell gene expression approach allows for the generation of data that can potentially identify idiosyncratic expression profiles that are typically averaged out when examining expression of millions of cells from typical homogenates generated from whole tissues.
虽然众多研究已检测了心脏组织匀浆中的基因表达变化,但这妨碍了对组织内细胞间固有随机变异的研究。通过对小鼠心脏进行胶原酶灌注来分离纯心肌细胞群体,有助于生成用于全转录组基因表达的单细胞微阵列,或使用纳米流体阵列对特定靶点进行定量聚合酶链反应(qPCR)。我们在此描述一种检测从心脏分离的心肌细胞单细胞基因表达谱的方法。这种模式允许评估不依赖于平均值的感兴趣指标(例如组织内细胞间的差异),而使用传统的全组织工作流程评估基因表达时则无法做到这一点(图1)。我们已实现单细胞转录组的稳健扩增,可产生微克级的双链互补脱氧核糖核酸(cDNA),便于在单个细胞上使用微阵列。在该方法中,我们描述了使用NimbleGen阵列,其因易于使用和能够定制设计而被选用。或者,逆转录酶特异性靶标扩增(RT-STA)反应可通过纳米流体聚合酶链反应对数百个靶点进行定量聚合酶链反应。使用这两种方法中的任何一种,都可以检测细胞间表达的变异性,以及检查组织内稀有细胞类型的表达谱。总体而言,单细胞基因表达方法能够生成数据,这些数据可能识别出特有的表达谱,而在检测来自全组织产生的典型匀浆中数百万细胞的表达时,这些表达谱通常会被平均化。