Skip to main content
Journal cover image

Protocol for identification and computational analysis of human natural killer cells using flow cytometry and R.

Publication ,  Journal Article
Kroll, K; Reeves, RK
Published in: STAR Protoc
March 17, 2023

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.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

STAR Protoc

DOI

EISSN

2666-1667

Publication Date

March 17, 2023

Volume

4

Issue

1

Start / End Page

102044

Location

United States

Related Subject Headings

  • Killer Cells, Natural
  • Humans
  • Flow Cytometry
  • Biomarkers
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Kroll, K., & Reeves, R. K. (2023). Protocol for identification and computational analysis of human natural killer cells using flow cytometry and R. STAR Protoc, 4(1), 102044. https://doi.org/10.1016/j.xpro.2023.102044
Kroll, Kyle, and R Keith Reeves. “Protocol for identification and computational analysis of human natural killer cells using flow cytometry and R.STAR Protoc 4, no. 1 (March 17, 2023): 102044. https://doi.org/10.1016/j.xpro.2023.102044.
Kroll, Kyle, and R. Keith Reeves. “Protocol for identification and computational analysis of human natural killer cells using flow cytometry and R.STAR Protoc, vol. 4, no. 1, Mar. 2023, p. 102044. Pubmed, doi:10.1016/j.xpro.2023.102044.
Journal cover image

Published In

STAR Protoc

DOI

EISSN

2666-1667

Publication Date

March 17, 2023

Volume

4

Issue

1

Start / End Page

102044

Location

United States

Related Subject Headings

  • Killer Cells, Natural
  • Humans
  • Flow Cytometry
  • Biomarkers