Literature DB >> 34766264

High-Dimensional Immunophenotyping with 37-Color Panel Using Full-Spectrum Cytometry.

Marco A Fernandez1, Hammad Alzayat1, Maria C Jaimes2, Yacine Kharraz2, Gerard Requena1, Pedro Mendez3.   

Abstract

A comprehensive study of the cellular components of the immune system demands both deep and broad immunophenotyping of numerous cell subsets in an effective and practical way. Novel full-spectrum technology reveals the complete emission spectrum of each dye maximizing the amount of information that can be obtained on a single sample regarding conventional flow cytometry and provide an expanded knowledge of biological processes. In this chapter, we describe a 37-color protocol that allows to identify more than 45 different cell populations on whole blood samples of SARS-CoV-2-infected patients.
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Deep immunophenotyping; Full-spectrum cytometry; Spectral signature

Mesh：

Year:  2022        PMID： 34766264     DOI： 10.1007/978-1-0716-1771-7_4

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN： 1064-3745


  10 in total

1.  Fluorescence-activated cell sorting.

Authors:  L A Herzenberg; R G Sweet; L A Herzenberg
Journal:  Sci Am       Date:  1976-03       Impact factor: 2.142

2.  Sequential staining improves detection of CCR2 and CX3CR1 on monocytes when simultaneously evaluating CCR5 by multicolor flow cytometry.

Authors:  Emilie Jalbert; Cecilia M Shikuma; Lishomwa C Ndhlovu; Jason D Barbour
Journal:  Cytometry A       Date:  2013-01-22       Impact factor: 4.355

3.  Evaluating spectral cytometry for immune profiling in viral disease.

Authors:  Paula Niewold; Thomas Myles Ashhurst; Adrian Lloyd Smith; Nicholas Jonathan Cole King
Journal:  Cytometry A       Date:  2020-09-17       Impact factor: 4.355

4.  The history and future of the fluorescence activated cell sorter and flow cytometry: a view from Stanford.

Authors:  Leonard A Herzenberg; David Parks; Bita Sahaf; Omar Perez; Mario Roederer; Leonore A Herzenberg
Journal:  Clin Chem       Date:  2002-10       Impact factor: 8.327

5.  Development of a Comprehensive Antibody Staining Database Using a Standardized Analytics Pipeline.

Authors:  El-Ad David Amir; Brian Lee; Paul Badoual; Martin Gordon; Xinzheng V Guo; Miriam Merad; Adeeb H Rahman
Journal:  Front Immunol       Date:  2019-06-11       Impact factor: 7.561

Review 6.  Meeting the Challenges of High-Dimensional Single-Cell Data Analysis in Immunology.

Authors:  Subarna Palit; Christoph Heuser; Gustavo P de Almeida; Fabian J Theis; Christina E Zielinski
Journal:  Front Immunol       Date:  2019-07-03       Impact factor: 7.561

7.  Spectral Cytometry Has Unique Properties Allowing Multicolor Analysis of Cell Suspensions Isolated from Solid Tissues.

Authors:  Sandrine Schmutz; Mariana Valente; Ana Cumano; Sophie Novault
Journal:  PLoS One       Date:  2016-08-08       Impact factor: 3.240

8.  Lymphopenia is associated with severe coronavirus disease 2019 (COVID-19) infections: A systemic review and meta-analysis.

Authors:  Qianwen Zhao; Meng Meng; Rahul Kumar; Yinlian Wu; Jiaofeng Huang; Yunlei Deng; Zhiyuan Weng; Li Yang
Journal:  Int J Infect Dis       Date:  2020-05-04       Impact factor: 3.623

9.  OMIP-069: Forty-Color Full Spectrum Flow Cytometry Panel for Deep Immunophenotyping of Major Cell Subsets in Human Peripheral Blood.

Authors:  Lily M Park; Joanne Lannigan; Maria C Jaimes
Journal:  Cytometry A       Date:  2020-08-31       Impact factor: 4.355

Review 10.  Characteristics of SARS-CoV-2 and COVID-19.

Authors:  Ben Hu; Hua Guo; Peng Zhou; Zheng-Li Shi
Journal:  Nat Rev Microbiol       Date:  2020-10-06       Impact factor: 78.297
  10 in total

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