工作流程
可扩展性
搜索引擎索引
仿形(计算机编程)
计算生物学
计算机科学
化学
微流控
吞吐量
数据科学
纳米技术
情报检索
生物
数据库
操作系统
材料科学
无线
电信
作者
Ting Li,Zhenglong Gu,Guoqiang Zhou
标识
DOI:10.1021/acs.analchem.5c03587
摘要
The ability to uniquely label and track individual cells at scale has become foundational to single-cell omics. Conventional barcoding strategies, ranging from plate-based combinatorial indexing to droplet microfluidics-based indexing, have enabled the rise of high-throughput single-cell profiling. However, these approaches each face trade-offs in throughput, cost, compatibility with complex biochemical workflows, or accessibility to nonspecialist laboratories. This perspective surveys the principles, benefits, and limitations of current barcoding methods and introduces emerging enzymatic and computational methods that may redefine how we uniquely index the cellular content, opening the door to simpler, more scalable, and more accessible single-cell analysis pipelines.
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