Cargando…
Optimized workflow for human PBMC multiomic immunosurveillance studies
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 peripher...
Autores principales: | , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8585660/ https://www.ncbi.nlm.nih.gov/pubmed/34806044 http://dx.doi.org/10.1016/j.xpro.2021.100900 |
_version_ | 1784597738814439424 |
---|---|
author | Genge, Palak C. Roll, Charles R. Heubeck, Alexander T. Swanson, Elliott Kondza, Nina Lord, Cara Weiss, Morgan Hernandez, Veronica Phalen, Cole Thomson, Zachary Torgerson, Troy R. Skene, Peter J. Bumol, Thomas F. Reading, Julian |
author_facet | Genge, Palak C. Roll, Charles R. Heubeck, Alexander T. Swanson, Elliott Kondza, Nina Lord, Cara Weiss, Morgan Hernandez, Veronica Phalen, Cole Thomson, Zachary Torgerson, Troy R. Skene, Peter J. Bumol, Thomas F. Reading, Julian |
author_sort | Genge, Palak C. |
collection | PubMed |
description | 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). |
format | Online Article Text |
id | pubmed-8585660 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-85856602021-11-18 Optimized workflow for human PBMC multiomic immunosurveillance studies Genge, Palak C. Roll, Charles R. Heubeck, Alexander T. Swanson, Elliott Kondza, Nina Lord, Cara Weiss, Morgan Hernandez, Veronica Phalen, Cole Thomson, Zachary Torgerson, Troy R. Skene, Peter J. Bumol, Thomas F. Reading, Julian STAR Protoc Protocol 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). Elsevier 2021-11-05 /pmc/articles/PMC8585660/ /pubmed/34806044 http://dx.doi.org/10.1016/j.xpro.2021.100900 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Protocol Genge, Palak C. Roll, Charles R. Heubeck, Alexander T. Swanson, Elliott Kondza, Nina Lord, Cara Weiss, Morgan Hernandez, Veronica Phalen, Cole Thomson, Zachary Torgerson, Troy R. Skene, Peter J. Bumol, Thomas F. Reading, Julian Optimized workflow for human PBMC multiomic immunosurveillance studies |
title | Optimized workflow for human PBMC multiomic immunosurveillance studies |
title_full | Optimized workflow for human PBMC multiomic immunosurveillance studies |
title_fullStr | Optimized workflow for human PBMC multiomic immunosurveillance studies |
title_full_unstemmed | Optimized workflow for human PBMC multiomic immunosurveillance studies |
title_short | Optimized workflow for human PBMC multiomic immunosurveillance studies |
title_sort | optimized workflow for human pbmc multiomic immunosurveillance studies |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8585660/ https://www.ncbi.nlm.nih.gov/pubmed/34806044 http://dx.doi.org/10.1016/j.xpro.2021.100900 |
work_keys_str_mv | AT gengepalakc optimizedworkflowforhumanpbmcmultiomicimmunosurveillancestudies AT rollcharlesr optimizedworkflowforhumanpbmcmultiomicimmunosurveillancestudies AT heubeckalexandert optimizedworkflowforhumanpbmcmultiomicimmunosurveillancestudies AT swansonelliott optimizedworkflowforhumanpbmcmultiomicimmunosurveillancestudies AT kondzanina optimizedworkflowforhumanpbmcmultiomicimmunosurveillancestudies AT lordcara optimizedworkflowforhumanpbmcmultiomicimmunosurveillancestudies AT weissmorgan optimizedworkflowforhumanpbmcmultiomicimmunosurveillancestudies AT hernandezveronica optimizedworkflowforhumanpbmcmultiomicimmunosurveillancestudies AT phalencole optimizedworkflowforhumanpbmcmultiomicimmunosurveillancestudies AT thomsonzachary optimizedworkflowforhumanpbmcmultiomicimmunosurveillancestudies AT torgersontroyr optimizedworkflowforhumanpbmcmultiomicimmunosurveillancestudies AT skenepeterj optimizedworkflowforhumanpbmcmultiomicimmunosurveillancestudies AT bumolthomasf optimizedworkflowforhumanpbmcmultiomicimmunosurveillancestudies AT readingjulian optimizedworkflowforhumanpbmcmultiomicimmunosurveillancestudies |