条形码
信使核糖核酸
基因表达
生物
单细胞分析
细胞
核糖核酸
计算生物学
细胞生物学
分子生物学
流式细胞术
基因
遗传学
计算机科学
操作系统
作者
H. Christina Fan,Glenn K. Fu,Stephen P. A. Fodor
出处
期刊:Science
[American Association for the Advancement of Science (AAAS)]
日期:2015-02-06
卷期号:347 (6222)
被引量:390
标识
DOI:10.1126/science.1258367
摘要
Single-cell expression analysis on a large scale To understand why cells differ from each other, we need to understand which genes are transcribed at a single-cell level. Several methods measure messenger RNA (mRNA) expression in single cells, but most are limited to relatively low numbers of cells or genes. Fan et al. labeled each mRNA molecule in a cell with both a cellular barcode and a molecular barcode. Further analysis did not then require single-cell technologies. Instead, the labeled mRNA from all cells was pooled, amplified, and sequenced, and the gene expression profile of individual cells was reconstructed based on the barcodes. The technique successfully revealed heterogeneity across several thousand blood cells. Science , this issue 10.1126/science.1258367
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