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Protocol for identification and computational analysis of human natural killer cells using flow cytometry and R.
Kroll, Kyle; Reeves, R Keith.
Afiliación
  • Kroll K; Division of Innate and Comparative Immunology, Surgical Sciences, Duke University, Durham, NC, USA. Electronic address: kyle.kroll@duke.edu.
  • Reeves RK; Division of Innate and Comparative Immunology, Surgical Sciences, Duke University, Durham, NC, USA. Electronic address: keith.reeves@duke.edu.
STAR Protoc ; 4(1): 102044, 2023 03 17.
Article en En | MEDLINE | ID: mdl-36853664
ABSTRACT
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.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Células Asesinas Naturales Tipo de estudio: Diagnostic_studies / Guideline Idioma: En Revista: STAR Protoc Año: 2023 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Células Asesinas Naturales Tipo de estudio: Diagnostic_studies / Guideline Idioma: En Revista: STAR Protoc Año: 2023 Tipo del documento: Article