联营
寡核苷酸
工作流程
协议(科学)
细胞
计算生物学
分子生物学
单细胞分析
计算机科学
信使核糖核酸
基因
生物
遗传学
医学
数据库
病理
人工智能
替代医学
作者
Jami R. Erickson,Florian Mair,Grace Bugos,Jody Martin,Aaron J. Tyznik,Margaret Nakamoto,Stefanie Mortimer,Martin Prlic
出处
期刊:STAR protocols
[Elsevier]
日期:2020-09-01
卷期号:1 (2): 100092-100092
被引量:11
标识
DOI:10.1016/j.xpro.2020.100092
摘要
By including oligonucleotide-labeled antibodies into high-throughput single-cell RNA-sequencing protocols, combined transcript and protein expression data can be acquired on the single-cell level. Here, we describe a protocol for the combined analysis of over 40 proteins and 400 genes on over 104 cells using the nano-well based Rhapsody platform. We also include a workflow for sample multiplexing, which uniquely identifies the initial source of cells (such as tissue type or donor) in the downstream analysis after upstream pooling. For complete information on the use and execution of this protocol, please refer to Mair et al. (2020).
科研通智能强力驱动
Strongly Powered by AbleSci AI