Literature DB >> 31522414

Guidelines for Gating Flow Cytometry Data for Immunological Assays.

Janet Staats1, Anagha Divekar2, J Philip McCoy3, Holden T Maecker4.   

Abstract

"Gating" refers to the selection of successive subpopulations of cells for analysis in flow cytometry. It is usually performed manually, based on expert knowledge of cell characteristics. However, there can be considerable disagreement in how gates should be applied, even between individuals experienced in the field. While clinical software often automates gating, and some guidelines do exist (especially for clinical assays), there are no comprehensive guidelines across the various types of immunological assays performed using flow cytometry. Here we attempt to provide such guidelines, focused on the most general and pervasive types of gates, why they are important, and what recommendations can be made regarding their use. We do so through the display of example data, collected by academic, government, and industry representatives. These guidelines should be of value to both novice and experienced flow cytometrists analyzing a wide variety of immunological assays.

Keywords:  Analysis; Flow cytometry; Gating

Mesh:

Year:  2019        PMID: 31522414     DOI: 10.1007/978-1-4939-9650-6_5

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


  5 in total

1.  Magnet-assisted Flow Cytometry of in vivo Tumors to Quantitate Cell-specific Responses to Magnetic Iron Oxide Nanoparticles.

Authors:  Preethi Korangath; Robert Ivkov
Journal:  Bio Protoc       Date:  2020-11-20

2.  CyAnno: A semi-automated approach for cell type annotation of mass cytometry datasets.

Authors:  Abhinav Kaushik; Diane Dunham; Ziyuan He; Monali Manohar; Manisha Desai; Kari C Nadeau; Sandra Andorf
Journal:  Bioinformatics       Date:  2021-05-25       Impact factor: 6.931

3.  Enhanced cell deconvolution of peripheral blood using DNA methylation for high-resolution immune profiling.

Authors:  Lucas A Salas; Ze Zhang; Devin C Koestler; Rondi A Butler; Helen M Hansen; Annette M Molinaro; John K Wiencke; Karl T Kelsey; Brock C Christensen
Journal:  Nat Commun       Date:  2022-02-09       Impact factor: 14.919

4.  Which NK cell populations mark the high burden of CMV present in all HIV patients beginning ART in Indonesia?

Authors:  Ibnu A Ariyanto; Riwanti Estiasari; Birry Karim; Ika Praseya Wijaya; Budiman Bela; Amin Soebandrio; Patricia Price; Silvia Lee
Journal:  AIDS Res Ther       Date:  2022-03-15       Impact factor: 2.250

5.  Development of a Flow Cytometry Assay to Predict Immune Checkpoint Blockade-Related Complications.

Authors:  Hannah-Lou Schilling; Gunther Glehr; Michael Kapinsky; Norbert Ahrens; Paloma Riquelme; Laura Cordero; Florian Bitterer; Hans J Schlitt; Edward K Geissler; Sebastian Haferkamp; James A Hutchinson; Katharina Kronenberg
Journal:  Front Immunol       Date:  2021-11-16       Impact factor: 7.561

  5 in total

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