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Deep Immunophenotyping of Human Whole Blood by Standardized Multi-parametric Flow Cytometry Analyses
Immunophenotyping is proving crucial to understanding the role of the immune system in health and disease. High-throughput flow cytometry has been used extensively to reveal changes in immune cell composition and function at the single-cell level. Here, we describe six optimized 11-color flow cytome...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Nature Singapore
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10260734/ https://www.ncbi.nlm.nih.gov/pubmed/37325713 http://dx.doi.org/10.1007/s43657-022-00092-9 |
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author | Gao, Jian Luo, Yali Li, Helian Zhao, Yiran Zhao, Jialin Han, Xuling Han, Jingxuan Lin, Huiqin Qian, Feng |
author_facet | Gao, Jian Luo, Yali Li, Helian Zhao, Yiran Zhao, Jialin Han, Xuling Han, Jingxuan Lin, Huiqin Qian, Feng |
author_sort | Gao, Jian |
collection | PubMed |
description | Immunophenotyping is proving crucial to understanding the role of the immune system in health and disease. High-throughput flow cytometry has been used extensively to reveal changes in immune cell composition and function at the single-cell level. Here, we describe six optimized 11-color flow cytometry panels for deep immunophenotyping of human whole blood. A total of 51 surface antibodies, which are readily available and validated, were selected to identify the key immune cell populations and evaluate their functional state in a single assay. The gating strategies for effective flow cytometry data analysis are included in the protocol. To ensure data reproducibility, we provide detailed procedures in three parts, including (1) instrument characterization and detector gain optimization, (2) antibody titration and sample staining, and (3) data acquisition and quality checks. This standardized approach has been applied to a variety of donors for a better understanding of the complexity of the human immune system. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s43657-022-00092-9. |
format | Online Article Text |
id | pubmed-10260734 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Nature Singapore |
record_format | MEDLINE/PubMed |
spelling | pubmed-102607342023-06-15 Deep Immunophenotyping of Human Whole Blood by Standardized Multi-parametric Flow Cytometry Analyses Gao, Jian Luo, Yali Li, Helian Zhao, Yiran Zhao, Jialin Han, Xuling Han, Jingxuan Lin, Huiqin Qian, Feng Phenomics Protocol Immunophenotyping is proving crucial to understanding the role of the immune system in health and disease. High-throughput flow cytometry has been used extensively to reveal changes in immune cell composition and function at the single-cell level. Here, we describe six optimized 11-color flow cytometry panels for deep immunophenotyping of human whole blood. A total of 51 surface antibodies, which are readily available and validated, were selected to identify the key immune cell populations and evaluate their functional state in a single assay. The gating strategies for effective flow cytometry data analysis are included in the protocol. To ensure data reproducibility, we provide detailed procedures in three parts, including (1) instrument characterization and detector gain optimization, (2) antibody titration and sample staining, and (3) data acquisition and quality checks. This standardized approach has been applied to a variety of donors for a better understanding of the complexity of the human immune system. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s43657-022-00092-9. Springer Nature Singapore 2023-02-23 /pmc/articles/PMC10260734/ /pubmed/37325713 http://dx.doi.org/10.1007/s43657-022-00092-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Protocol Gao, Jian Luo, Yali Li, Helian Zhao, Yiran Zhao, Jialin Han, Xuling Han, Jingxuan Lin, Huiqin Qian, Feng Deep Immunophenotyping of Human Whole Blood by Standardized Multi-parametric Flow Cytometry Analyses |
title | Deep Immunophenotyping of Human Whole Blood by Standardized Multi-parametric Flow Cytometry Analyses |
title_full | Deep Immunophenotyping of Human Whole Blood by Standardized Multi-parametric Flow Cytometry Analyses |
title_fullStr | Deep Immunophenotyping of Human Whole Blood by Standardized Multi-parametric Flow Cytometry Analyses |
title_full_unstemmed | Deep Immunophenotyping of Human Whole Blood by Standardized Multi-parametric Flow Cytometry Analyses |
title_short | Deep Immunophenotyping of Human Whole Blood by Standardized Multi-parametric Flow Cytometry Analyses |
title_sort | deep immunophenotyping of human whole blood by standardized multi-parametric flow cytometry analyses |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10260734/ https://www.ncbi.nlm.nih.gov/pubmed/37325713 http://dx.doi.org/10.1007/s43657-022-00092-9 |
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