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Development of a Comprehensive Antibody Staining Database Using a Standardized Analytics Pipeline
Large-scale immune monitoring experiments (such as clinical trials) are a promising direction for biomarker discovery and responder stratification in immunotherapy. Mass cytometry is one of the tools in the immune monitoring arsenal. We propose a standardized workflow for the acquisition and analysi...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6579881/ https://www.ncbi.nlm.nih.gov/pubmed/31244854 http://dx.doi.org/10.3389/fimmu.2019.01315 |
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author | Amir, El-ad David Lee, Brian Badoual, Paul Gordon, Martin Guo, Xinzheng V. Merad, Miriam Rahman, Adeeb H. |
author_facet | Amir, El-ad David Lee, Brian Badoual, Paul Gordon, Martin Guo, Xinzheng V. Merad, Miriam Rahman, Adeeb H. |
author_sort | Amir, El-ad David |
collection | PubMed |
description | Large-scale immune monitoring experiments (such as clinical trials) are a promising direction for biomarker discovery and responder stratification in immunotherapy. Mass cytometry is one of the tools in the immune monitoring arsenal. We propose a standardized workflow for the acquisition and analysis of large-scale mass cytometry experiments. The workflow includes two-tiered barcoding, a broad lyophilized panel, and the incorporation of a fully automated, cloud-based analysis platform. We applied the workflow to a large antibody staining screen using the LEGENDScreen kit, resulting in single-cell data for 350 antibodies over 71 profiling subsets. The screen recapitulates many known trends in the immune system and reveals potential markers for delineating MAIT cells. Additionally, we examine the effect of fixation on staining intensity and identify several markers where fixation leads to either gain or loss of signal. The standardized workflow can be seamlessly integrated into existing trials. Finally, the antibody staining data set is available as an online resource for researchers who are designing mass cytometry experiments in suspension and tissue. |
format | Online Article Text |
id | pubmed-6579881 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-65798812019-06-26 Development of a Comprehensive Antibody Staining Database Using a Standardized Analytics Pipeline Amir, El-ad David Lee, Brian Badoual, Paul Gordon, Martin Guo, Xinzheng V. Merad, Miriam Rahman, Adeeb H. Front Immunol Immunology Large-scale immune monitoring experiments (such as clinical trials) are a promising direction for biomarker discovery and responder stratification in immunotherapy. Mass cytometry is one of the tools in the immune monitoring arsenal. We propose a standardized workflow for the acquisition and analysis of large-scale mass cytometry experiments. The workflow includes two-tiered barcoding, a broad lyophilized panel, and the incorporation of a fully automated, cloud-based analysis platform. We applied the workflow to a large antibody staining screen using the LEGENDScreen kit, resulting in single-cell data for 350 antibodies over 71 profiling subsets. The screen recapitulates many known trends in the immune system and reveals potential markers for delineating MAIT cells. Additionally, we examine the effect of fixation on staining intensity and identify several markers where fixation leads to either gain or loss of signal. The standardized workflow can be seamlessly integrated into existing trials. Finally, the antibody staining data set is available as an online resource for researchers who are designing mass cytometry experiments in suspension and tissue. Frontiers Media S.A. 2019-06-11 /pmc/articles/PMC6579881/ /pubmed/31244854 http://dx.doi.org/10.3389/fimmu.2019.01315 Text en Copyright © 2019 Amir, Lee, Badoual, Gordon, Guo, Merad and Rahman. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Immunology Amir, El-ad David Lee, Brian Badoual, Paul Gordon, Martin Guo, Xinzheng V. Merad, Miriam Rahman, Adeeb H. Development of a Comprehensive Antibody Staining Database Using a Standardized Analytics Pipeline |
title | Development of a Comprehensive Antibody Staining Database Using a Standardized Analytics Pipeline |
title_full | Development of a Comprehensive Antibody Staining Database Using a Standardized Analytics Pipeline |
title_fullStr | Development of a Comprehensive Antibody Staining Database Using a Standardized Analytics Pipeline |
title_full_unstemmed | Development of a Comprehensive Antibody Staining Database Using a Standardized Analytics Pipeline |
title_short | Development of a Comprehensive Antibody Staining Database Using a Standardized Analytics Pipeline |
title_sort | development of a comprehensive antibody staining database using a standardized analytics pipeline |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6579881/ https://www.ncbi.nlm.nih.gov/pubmed/31244854 http://dx.doi.org/10.3389/fimmu.2019.01315 |
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