Drop-seq can profile thousands of single cells in one experiment.
Drop-seq 可以在一次实验中分析成千上万个单细胞的表达情况。
Using Drop-seq, the team mapped cell-type diversity in mouse brain tissue and identified rare neuronal subpopulations.
研究团队使用 Drop-seq 绘制了小鼠脑组织的细胞类型多样性图谱,并识别出罕见的神经元亚群。
Macosko, E. Z. et al. Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets (Drop-seq). Cell (2015).
Klein, A. M. et al. Droplet Barcoding for Single-Cell Transcriptomics Applied to Embryonic Stem Cells. Cell (2015)(与 Drop-seq 同时期的液滴单细胞转录组代表工作,常与 Drop-seq 并列引用)。
Lähnemann, D. et al. Eleven grand challenges in single-cell data science. Genome Biology (2020)(综述中讨论单细胞技术谱系时常提及 Drop-seq)。