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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...

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Detalles Bibliográficos
Autores principales: 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
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
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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).
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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
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