Literature DB >> 32926370

Introduction to Multiparametric Flow Cytometry and Analysis of High-Dimensional Data.

James Sun1, Jodi L Kroeger2, Joseph Markowitz3,4.   

Abstract

Multiparametric flow cytometry is a technique utilized in translational experiments that utilizes fluorescently tagged antibodies and functional fluorescent dyes to measure proteins on the surface or in the cytoplasm of cells and to measure processes occurring within cells themselves. These fluorescent molecules, or fluorophores, can be tagged to antibodies to measure specific biological molecules such as proteins inside or on the surface of cells. Small organic compounds such as the nucleic acid binding dye propidium iodide (PI) can permeate compromised cell membranes when cells are no longer viable or used to measure DNA content of cycling cells. Successful completion of flow cytometry experiments requires expertise in both the preparation of the samples, acquisition of the samples on instruments, and analyses of the results. This chapter describes the principles needed to conduct a successful multiparameter flow cytometry experiment needed for drug development with references to well established internet resources that are useful to those less experienced in the field. In addition, we provide a brief introduction to data analysis including complex analysis of 10+ parameters simultaneously. These high-dimensional datasets require novel methods for analysis due to the volume of data collected, which are also introduced in this chapter.

Entities:  

Keywords:  Flow cytometry; Informatics; Phenotyping

Mesh:

Substances:

Year:  2021        PMID: 32926370      PMCID: PMC7868168          DOI: 10.1007/978-1-0716-0849-4_13

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


  47 in total

Review 1.  Eleven-color flow cytometry. A powerful tool for elucidation of the complex immune system.

Authors:  S C De Rosa; M Roederer
Journal:  Clin Lab Med       Date:  2001-12       Impact factor: 1.935

2.  Spectral compensation for flow cytometry: visualization artifacts, limitations, and caveats.

Authors:  M Roederer
Journal:  Cytometry       Date:  2001-11-01

Review 3.  Flow cytometry: basic principles and applications.

Authors:  Aysun Adan; Günel Alizada; Yağmur Kiraz; Yusuf Baran; Ayten Nalbant
Journal:  Crit Rev Biotechnol       Date:  2016-01-14       Impact factor: 8.429

4.  Compensation in flow cytometry.

Authors:  Mario Roederer
Journal:  Curr Protoc Cytom       Date:  2002-12

5.  Eight-Color Multiplex Immunohistochemistry for Simultaneous Detection of Multiple Immune Checkpoint Molecules within the Tumor Microenvironment.

Authors:  Mark A J Gorris; Altuna Halilovic; Katrin Rabold; Anne van Duffelen; Iresha N Wickramasinghe; Dagmar Verweij; Inge M N Wortel; Johannes C Textor; I Jolanda M de Vries; Carl G Figdor
Journal:  J Immunol       Date:  2017-11-15       Impact factor: 5.422

6.  Data analysis as a source of variability of the HLA-peptide multimer assay: from manual gating to automated recognition of cell clusters.

Authors:  Cécile Gouttefangeas; Cliburn Chan; Sebastian Attig; Tania T Køllgaard; Hans-Georg Rammensee; Stefan Stevanović; Dorothee Wernet; Per thor Straten; Marij J P Welters; Christian Ottensmeier; Sjoerd H van der Burg; Cedrik M Britten
Journal:  Cancer Immunol Immunother       Date:  2015-02-18       Impact factor: 6.968

7.  Assessing FRET using spectral techniques.

Authors:  Silas J Leavesley; Andrea L Britain; Lauren K Cichon; Viacheslav O Nikolaev; Thomas C Rich
Journal:  Cytometry A       Date:  2013-08-08       Impact factor: 4.355

8.  Extracting a cellular hierarchy from high-dimensional cytometry data with SPADE.

Authors:  Peng Qiu; Erin F Simonds; Sean C Bendall; Kenneth D Gibbs; Robert V Bruggner; Michael D Linderman; Karen Sachs; Garry P Nolan; Sylvia K Plevritis
Journal:  Nat Biotechnol       Date:  2011-10-02       Impact factor: 54.908

Review 9.  Combined targeted therapy and immunotherapy in melanoma: a review of the impact on the tumor microenvironment and outcomes of early clinical trials.

Authors:  Meredith S Pelster; Rodabe N Amaria
Journal:  Ther Adv Med Oncol       Date:  2019-02-19       Impact factor: 8.168

10.  flowCore: a Bioconductor package for high throughput flow cytometry.

Authors:  Florian Hahne; Nolwenn LeMeur; Ryan R Brinkman; Byron Ellis; Perry Haaland; Deepayan Sarkar; Josef Spidlen; Errol Strain; Robert Gentleman
Journal:  BMC Bioinformatics       Date:  2009-04-09       Impact factor: 3.169

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  1 in total

1.  Mouse splenocyte enrichment strategies via negative selection for broadened single-cell transcriptomics.

Authors:  Thomas T Schulze; Andrew J Neville; Ryan C Chapman; Paul H Davis
Journal:  STAR Protoc       Date:  2022-05-17
  1 in total

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