Litcius/Paper detail

Optimized workflow for human PBMC multiomic immunosurveillance studies

Palak C. Genge, Charles R. Roll, Alexander T. Heubeck, Elliott Swanson, Nina Kondza, Cara Lord, Morgan Weiss, Veronica Hernandez, Cole Phalen, Zachary Thomson, Troy R. Torgerson, Peter J. Skene, Thomas F. Bumol, Julian Reading

2021STAR Protocols18 citationsDOIOpen Access PDF

Abstract

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 mononuclear 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).

Topics & Concepts

Profiling (computer programming)ImmunosurveillanceWorkflowComputer scienceImmune systemPeripheral blood mononuclear cellComputational biologyFlow cytometryBiologyImmunologyDatabaseGeneticsOperating systemIn vitroSingle-cell and spatial transcriptomicsImmune Cell Function and InteractionT-cell and B-cell Immunology