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An improved single-cell cDNA amplification method for efficient high-density oligonucleotide microarray analysis

机译:一种用于高效高密度寡核苷酸微阵列分析的改进的单细胞cDNA扩增方法

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摘要

A systems-level understanding of a small but essential population of cells in development or adulthood (e.g. somatic stem cells) requires accurate quantitative monitoring of genome-wide gene expression, ideally from single cells. We report here a strategy to globally amplify mRNAs from single cells for highly quantitative high-density oligonucleotide microarray analysis that combines a small number of directional PCR cycles with subsequent linear amplification. Using this strategy, both the representation of gene expression profiles and reproducibility between individual experiments are unambiguously improved from the original method, along with high coverage and accuracy. The immediate application of this method to single cells in the undifferentiated inner cell masses of mouse blastocysts at embryonic day (E) 3.5 revealed the presence of two populations of cells, one with primitive endoderm (PE) expression and the other with pluripotent epiblast-like gene expression. The genes expressed differentially between these two populations were well preserved in morphologically differentiated PE and epiblast in the embryos one day later (E4.5), demonstrating that the method successfully detects subtle but essential differences in gene expression at the single-cell level among seemingly homogeneous cell populations. This study provides a strategy to analyze biophysical events in medicine as well as in neural, stem cell and developmental biology, where small numbers of distinctive or diseased cells play critical roles.
机译:对发育中或成年期的一小部分但必不可少的细胞(例如体细胞)的系统级理解需要对全基因组基因表达进行准确的定量监测,最好是从单个细胞中进行监测。我们在这里报告了一种策略,可以从单个细胞中全局扩增mRNA,以进行高度定量的高密度寡核苷酸微阵列分析,该分析将少量的定向PCR循环与后续的线性扩增相结合。使用这种策略,与原始方法相比,基因表达谱的表示和单个实验之间的可重复性都得到了明确的提高,覆盖率和准确性也很高。此方法立即应用于小鼠胚泡未分化内部细胞团中的单个细胞,在胚胎发育第(E)3.5天时发现存在两种细胞群,一种具有原始内胚层(PE)表达,另一种具有多能上皮样细胞样基因表达。一天后,这两个种群之间差异表达的基因在胚胎的形态分化的PE和上皮细胞中得到了很好的保存(E4.5),表明该方法成功地检测了单细胞水平上基因表达之间细微但必不可少的差异。均质细胞群。这项研究提供了一种策略,可以分析医学,神经,干细胞和发育生物学中的生物物理事件,在这些生物学中,少量的独特或患病细胞起着关键作用。

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