微流控
计算生物学
转录组
巨量平行
生物
核糖核酸
DNA
单细胞分析
条形码
基因组DNA
细胞
DNA测序
纳米技术
计算机科学
基因
基因表达
遗传学
材料科学
操作系统
并行计算
作者
Rapolas Žilionis,Juozas Nainys,Adrian Veres,Virginia Savova,David Zemmour,Allon M. Klein,Linas Mažutis
出处
期刊:Nature Protocols
[Springer Nature]
日期:2016-12-08
卷期号:12 (1): 44-73
被引量:673
标识
DOI:10.1038/nprot.2016.154
摘要
Single-cell RNA sequencing has recently emerged as a powerful tool for mapping cellular heterogeneity in diseased and healthy tissues, yet high-throughput methods are needed for capturing the unbiased diversity of cells. Droplet microfluidics is among the most promising candidates for capturing and processing thousands of individual cells for whole-transcriptome or genomic analysis in a massively parallel manner with minimal reagent use. We recently established a method called inDrops, which has the capability to index >15,000 cells in an hour. A suspension of cells is first encapsulated into nanoliter droplets with hydrogel beads (HBs) bearing barcoding DNA primers. Cells are then lysed and mRNA is barcoded (indexed) by a reverse transcription (RT) reaction. Here we provide details for (i) establishing an inDrops platform (1 d); (ii) performing hydrogel bead synthesis (4 d); (iii) encapsulating and barcoding cells (1 d); and (iv) RNA-seq library preparation (2 d). inDrops is a robust and scalable platform, and it is unique in its ability to capture and profile >75% of cells in even very small samples, on a scale of thousands or tens of thousands of cells.
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