生物
生物信息学
染色质
细胞
计算生物学
单细胞分析
核糖核酸
寡核苷酸
单细胞测序
标识符
电池类型
细胞生物学
转录组
基因
遗传学
基因表达
表型
外显子组测序
计算机科学
程序设计语言
作者
Tom Denyer,Marja C.P. Timmermans
标识
DOI:10.1016/j.tplants.2021.09.003
摘要
High-throughput, droplet-based single-cell RNA sequencing (scRNA-Seq) provides unprecedented resolution to examine cell–cell heterogeneity in tissues and organs. Microfluidic channels combine individual cells with uniquely barcoded beads to analyze transcriptomes of thousands of cells in parallel that can reconstruct the biological structure in silico. Individual cells can be traced back through bead/cell-specific barcodes on the oligos, and individual transcript amplification bias is accounted for with unique molecular identifiers (UMIs). scRNA-Seq has been used to identify unique cell types, states, and responses on a single-cell level. Combined with single nucleus-level assays of chromatin, scRNA-Seq provides further understanding of gene regulation networks.
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