Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba, Japan.
Adv Exp Med Biol. 2019;1129:27-50. doi: 10.1007/978-981-13-6037-4_3.
Heterogeneous phenotypes of cancer cells enable them to adapt to various environments. The heterogeneity results from diversity of genome, transcriptome, and epigenome at a single-cell level. The C1 system can automatically perform single-cell capture and whole genome amplification (WGA) or whole transcription amplification (WTA) by MDA or Smart-Seq, respectively. Here, we describe the protocols for WGA and WTA from a single cell by using the C1 system and the protocols for sequence library preparation from amplified gDNA and cDNA. We also described about the computational analysis for single-cell data of cancer.
癌细胞的异质性表型使它们能够适应各种环境。这种异质性源于单细胞水平上基因组、转录组和表观基因组的多样性。C1 系统可以通过 MDA 或 Smart-Seq 分别自动进行单细胞捕获和全基因组扩增 (WGA) 或全转录扩增 (WTA)。在这里，我们描述了使用 C1 系统从单个细胞进行 WGA 和 WTA 的方案，以及从扩增的 gDNA 和 cDNA 制备测序文库的方案。我们还描述了用于癌症单细胞数据的计算分析。
