Literature DB >> 32421215

Acquisition of High-Quality Spectral Flow Cytometry Data.

Amy Fox1, Taru S Dutt1, Burton Karger1, Andrés Obregón-Henao1, G Brooke Anderson2, Marcela Henao-Tamayo1.   

Abstract

Flow cytometry allows the visualization of physical, functional, and/or biological properties of cells including antigens, cytokines, size, and complexity. With increasingly large flow cytometry panels able to analyze up to 50 parameters, there is a need to standardize flow cytometry protocols to achieve high-quality data that can be input into analysis algorithms. Without this clean data, algorithms may incorrectly categorize the cell populations present in the samples. In this protocol, we outline a comprehensive methodology to prepare samples for polychromatic flow cytometry. The use of multiple washing steps and rigorous controls creates high-quality data with good separation between cell populations. Experimental data acquired using this protocol can be analyzed via computational algorithms that perform end-to-end analysis.
© 2020 by John Wiley & Sons, Inc. Basic Protocol 1: Preparation of single-cell suspension for flow cytometry Support Protocol 1: Lung preparation Support Protocol 2: Counting cells on a flow cytometer Basic Protocol 2: Surface and intracellular flow cytometry staining Support Protocol 3: Single-color bead controls. © 2020 John Wiley & Sons, Inc.

Entities:  

Keywords:  controls; flow cytometry; high-dimensional flow cytometry data; high-quality data; immunology; phenotyping; sample preparation

Mesh:

Year:  2020        PMID: 32421215      PMCID: PMC8801208          DOI: 10.1002/cpcy.74

Source DB:  PubMed          Journal:  Curr Protoc Cytom        ISSN: 1934-9297


  8 in total

Review 1.  Optimizing a multicolor immunophenotyping assay.

Authors:  Yolanda D Mahnke; Mario Roederer
Journal:  Clin Lab Med       Date:  2007-09       Impact factor: 1.935

2.  Compensation in flow cytometry.

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

3.  FlowSOM: Using self-organizing maps for visualization and interpretation of cytometry data.

Authors:  Sofie Van Gassen; Britt Callebaut; Mary J Van Helden; Bart N Lambrecht; Piet Demeester; Tom Dhaene; Yvan Saeys
Journal:  Cytometry A       Date:  2015-01-08       Impact factor: 4.355

4.  Panel Design and Optimization for High-Dimensional Immunophenotyping Assays Using Spectral Flow Cytometry.

Authors:  Laura Ferrer-Font; Christophe Pellefigues; Johannes U Mayer; Sam J Small; Maria C Jaimes; Kylie M Price
Journal:  Curr Protoc Cytom       Date:  2020-03

5.  Quantitative Comparison of Conventional and t-SNE-guided Gating Analyses.

Authors:  Shadi Toghi Eshghi; Amelia Au-Yeung; Chikara Takahashi; Christopher R Bolen; Maclean N Nyachienga; Sean P Lear; Cherie Green; W Rodney Mathews; William E O'Gorman
Journal:  Front Immunol       Date:  2019-06-05       Impact factor: 7.561

Review 6.  An Introduction to Automated Flow Cytometry Gating Tools and Their Implementation.

Authors:  Chris P Verschoor; Alina Lelic; Jonathan L Bramson; Dawn M E Bowdish
Journal:  Front Immunol       Date:  2015-07-27       Impact factor: 7.561

7.  OpenCyto: an open source infrastructure for scalable, robust, reproducible, and automated, end-to-end flow cytometry data analysis.

Authors:  Greg Finak; Jacob Frelinger; Wenxin Jiang; Evan W Newell; John Ramey; Mark M Davis; Spyros A Kalams; Stephen C De Rosa; Raphael Gottardo
Journal:  PLoS Comput Biol       Date:  2014-08-28       Impact factor: 4.475

8.  Cyto-Feature Engineering: A Pipeline for Flow Cytometry Analysis to Uncover Immune Populations and Associations with Disease.

Authors:  Amy Fox; Taru S Dutt; Burton Karger; Mauricio Rojas; Andrés Obregón-Henao; G Brooke Anderson; Marcela Henao-Tamayo
Journal:  Sci Rep       Date:  2020-05-06       Impact factor: 4.379

  8 in total
  2 in total

1.  BCG-Prime and boost with Esx-5 secretion system deletion mutant leads to better protection against clinical strains of Mycobacterium tuberculosis.

Authors:  Sangeeta Tiwari; Taru S Dutt; Bing Chen; Mei Chen; John Kim; Annie Zhi Dai; Regy Lukose; Crystal Shanley; Amy Fox; Burton R Karger; Steven A Porcelli; John Chan; Brendan K Podell; Andres Obregon-Henao; Ian M Orme; William R Jacobs; Marcela Henao-Tamayo
Journal:  Vaccine       Date:  2020-09-23       Impact factor: 3.641

Review 2.  Full Spectrum Flow Cytometry as a Powerful Technology for Cancer Immunotherapy Research.

Authors:  Diana L Bonilla; Gil Reinin; Edmond Chua
Journal:  Front Mol Biosci       Date:  2021-01-29
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.