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Protocol for identification and computational analysis of human natural killer cells using flow cytometry and R
Identifying differential protein expression is routinely used to delineate natural killer (NK) cells from various sample cohorts. This protocol describes key steps for NK cell analysis: identifying human NK cells using flow gating, data export from FlowJo, data loading in R, dimensionality reduction...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9871333/ https://www.ncbi.nlm.nih.gov/pubmed/36853664 http://dx.doi.org/10.1016/j.xpro.2023.102044 |
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author | Kroll, Kyle Reeves, R. Keith |
author_facet | Kroll, Kyle Reeves, R. Keith |
author_sort | Kroll, Kyle |
collection | PubMed |
description | Identifying differential protein expression is routinely used to delineate natural killer (NK) cells from various sample cohorts. This protocol describes key steps for NK cell analysis: identifying human NK cells using flow gating, data export from FlowJo, data loading in R, dimensionality reduction and visualization with Uniform Manifold Approximation and Projection, and generalized linear modeling with CyotGLMM. These analyses can help generate potential biomarkers of interest to identify NK cells across aging, treatment groups, and others. For complete details on the use and execution of this protocol, please refer to Kroll et al. (2022).(1) |
format | Online Article Text |
id | pubmed-9871333 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-98713332023-01-25 Protocol for identification and computational analysis of human natural killer cells using flow cytometry and R Kroll, Kyle Reeves, R. Keith STAR Protoc Protocol Identifying differential protein expression is routinely used to delineate natural killer (NK) cells from various sample cohorts. This protocol describes key steps for NK cell analysis: identifying human NK cells using flow gating, data export from FlowJo, data loading in R, dimensionality reduction and visualization with Uniform Manifold Approximation and Projection, and generalized linear modeling with CyotGLMM. These analyses can help generate potential biomarkers of interest to identify NK cells across aging, treatment groups, and others. For complete details on the use and execution of this protocol, please refer to Kroll et al. (2022).(1) Elsevier 2023-01-19 /pmc/articles/PMC9871333/ /pubmed/36853664 http://dx.doi.org/10.1016/j.xpro.2023.102044 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Protocol Kroll, Kyle Reeves, R. Keith Protocol for identification and computational analysis of human natural killer cells using flow cytometry and R |
title | Protocol for identification and computational analysis of human natural killer cells using flow cytometry and R |
title_full | Protocol for identification and computational analysis of human natural killer cells using flow cytometry and R |
title_fullStr | Protocol for identification and computational analysis of human natural killer cells using flow cytometry and R |
title_full_unstemmed | Protocol for identification and computational analysis of human natural killer cells using flow cytometry and R |
title_short | Protocol for identification and computational analysis of human natural killer cells using flow cytometry and R |
title_sort | protocol for identification and computational analysis of human natural killer cells using flow cytometry and r |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9871333/ https://www.ncbi.nlm.nih.gov/pubmed/36853664 http://dx.doi.org/10.1016/j.xpro.2023.102044 |
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