Optimized workflow for human PBMC multiomic immunosurveillance studies

被引:8
作者
Genge, Palak C. [1 ]
Roll, Charles R. [1 ]
Heubeck, Alexander T. [1 ]
Swanson, Elliott [1 ]
Kondza, Nina [1 ,2 ]
Lord, Cara [1 ,3 ]
Weiss, Morgan [1 ]
Hernandez, Veronica [1 ]
Phalen, Cole [1 ]
Thomson, Zachary [1 ]
Torgerson, Troy R. [1 ]
Skene, Peter J. [1 ]
Bumol, Thomas F. [1 ]
Reading, Julian [1 ]
机构
[1] Allen Inst Immunol, 615 Westlake Ave N, Seattle, WA 98109 USA
[2] Biopharmaceut Inc, Seattle, WA 98161 USA
[3] GlaxoSmithKline, Collegeville, PA 19426 USA
来源
STAR PROTOCOLS | 2021年 / 2卷 / 04期
关键词
Cell Biology; Flow Cytometry/Mass Cytometry; Immunology; Molecular Biology; RNAseq; Sequencing; Single Cell;
D O I
10.1016/j.xpro.2021.100900
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Deep immune profiling is essential for understanding the human immune system in health and disease. Successful biological interpretation of this data requires consistent laboratory processing with minimal batch-to-batch variation. Here, we detail a robust pipeline for the profiling of human peripheral blood mononu-clear cells by both high-dimensional flow cytometry and single-cell RNA-seq. These protocols reduce batch effects, generate reproducible data, and increase throughput. For complete details on the use and execution of this protocol, please refer to Savage et al. (2021).
引用
收藏
页数:34
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