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OMIP Reviews | OMIP-028: A 14-Color Panel for High-Resolution Analysis of NK Cell Activation and Proliferation in Rhesus Macaques

公開日: 2026-07-07  閲覧数: 40

Model Value and Detection Challenges of Rhesus Macaque NK Cells

Rhesus macaques serve as a critical nonhuman primate model for immunology due to the high homology of their immune system with humans. They play an indispensable role in SIV infection studies, vaccine evaluation, and mechanistic immune research. Natural killer (NK) cells, as core effectors of the innate immune system, are pivotal regulators of viral infections and immune responses. However, the heterogeneity of NK cell subsets and their functional states in Rhesus macaques presents significant complexity, making it difficult to capture dynamic changes using conventional single-marker approaches.

Necessity of High-Dimensional NK Cell Phenotyping

During infection or immune interventions, combinations of KIR receptors, CD16/CD56 differentiation status, and activation/proliferation markers define the functional diversity and responsiveness of NK cell subsets. To accurately characterize these subsets and their functional states, a high-resolution, multi-marker analysis tool is required. Such a tool can capture comprehensive information on NK cell lineage, differentiation, activation, and proliferation even from limited samples.

Design and Application of the OMIP-028 Panel

OMIP-028 integrates lineage markers including CD8α, NKG2A/C, KIR3DL01, and KIR3DL05 with differentiation markers CD16 and CD56, enabling systematic delineation of major NK cell subsets. By combining these with four activation/proliferation markers—CD69, HLA-DR, PD-1, and Ki-67—the panel provides refined functional characterization for each subset. It offers a robust platform for NK cell analysis in SIV infection and vaccine immunology studies, and can monitor NK cell functional diversity induced by infection or immune interventions.

OMIP-028 provides a multicolor flow cytometry solution to quantify Rhesus macaque NK cell subsets and their activation/proliferation phenotypes. Optimized antibody-fluorochrome combinations allow simultaneous monitoring of up to 12 NK cell subsets, while Boolean analysis of the four activation/proliferation markers defines 16 phenotypic subsets. This enables tracking of activation and proliferation dynamics across different physiological and pathological conditions, and dissects viral impacts on NK cell subset distribution and functional maturation.

1. OMIP-028 Panel

Target Fluorochrome Function abinScience Recommendation
Live Dead Near infrared Viability
CD45 BV786 Lymphocyte marker View CD45 antibodies
CD3 Alexa Fluor 700 T cell marker View CD3 antibodies
CD20 Alexa Fluor 700 B cell marker View CD20 antibodies
CD14 Alexa Fluor 700 Monocyte marker View CD14 antibodies
CD8 BV510 NK cell marker View CD8 antibodies
CD16 BV711 View CD16 antibodies
CD56 FITC View CD56 antibodies
NKG2A/C PE-Cy7 View NKG2A/C antibodies
KIR3DL01 PE View KIR3DL01 antibodies
KIR3DL05 BV421
NKp46 PE-Cy5 NK cell differentiation View NKp46 antibodies
CD279 (PD-1) BV605 View CD279 antibodies
CD69 PE-Texas Red Activation View CD69 antibodies
HLA-DR BV650 View HLA-DR antibodies
Ki-67 Alexa Fluor 647 Proliferation

2. Gating Logic

OMIP-028 Gating Strategy

Figure 1. Overview of OMIP-028 Gating Strategy

1

Exclude non-target populations and define total NK cells

Exclude doublets via FSC-A/H, CD45+ lymphocytes gated, dead cells, T cells, monocytes, and B cells excluded, followed by CD8 and NKG2A/C gating to identify NK cells.

2

NK cell subset delineation

KIR3DL01 and KIR3DL05 divided NK cells into four different populations, further subdivided by CD16 and CD56 expression; NKp46 expression differences are analyzed among these subsets.

3

NK cell functional assessment

Activation and proliferation analyzed using CD69, HLA-DR, PD-1, and Ki-67.

3. Experimental Results

1). PBMCs were first gated to exclude doublets (FSC-A/H), then CD45+ lymphocytes were selected. Dead cells and T, B, and monocyte populations were excluded, followed by CD8 and NKG2A/C gating to identify NK cells.

Result 1

2). Total NK cells were separated into four populations based on KIR3DL01 and KIR3DL05 expression, and further into three subsets (CD16+, CD56+, CD16-CD56-) to analyze NKp46 levels.

Result 2Result 3

 

3). Activation and proliferation within the three NK cell subsets were analyzed via CD69, HLA-DR, PD-1, and Ki-67.

Result 4

4). Boolean gating of the four activation/proliferation markers generated 16 functional states (single-positive, double-positive, triple-positive, quadruple-positive), depicting NK cell activation, proliferation, and regulatory status.

Result 5

4. Panel Interpretation

4.1 Species-Specific NK Cell Definitions

Rhesus macaque NK cells differ significantly from humans in CD56 and CD16 expression; for example, CD16 is also expressed on monocytes, making human-based gating strategies inappropriate. OMIP-028 employs a combination of CD3, CD8α, and NKG2A/C, together with KIR receptors and CD16/CD56, to construct a Rhesus-specific NK cell analysis framework. This approach ensures accurate interpretation of NK cell responses in infection or vaccine studies and provides a methodological basis for cross-species comparisons.

4.2 High-Resolution NK Cell Analysis

OMIP-028 enables simultaneous resolution of 12 structural NK cell subsets and 16 functional states in a single tube. Structural subsets are first defined by KIR3DL01 and KIR3DL05 expression into four categories, then further divided by CD16/CD56 differentiation to yield 12 detailed subsets. Functional states are enumerated by Boolean combinations of CD69, HLA-DR, PD-1, and Ki-67, capturing diversity in activation, proliferation, and regulation. This hierarchical design overcomes limitations of single-marker analysis and allows single-cell level mapping of NK cell structure and function.

4.3 Support for Infection Models and Vaccine Studies

OMIP-028 tracks dynamic changes in NK cell subsets during SIV/HIV infection, such as expansion of the CD16-CD56- population and diversification of functional states, reflecting systemic effects of infection on NK cell distribution and function. This high-resolution tracking allows quantitative assessment of NK subset activation, proliferation, and regulatory states during vaccine evaluation and immune interventions, supporting mechanistic insights and optimization of immunization strategies.

5. Applications

Infection immunology research Mechanism of immune regulation research Vaccine immunogenicity assessment Basic immune mechanism studies NK cell research

6. Conclusion

By integrating lineage markers, differentiation markers, and activation/proliferation markers, OMIP-028 provides high-resolution phenotyping of Rhesus macaque NK cells. In a single-tube assay, 12 structural and 16 functional NK cell subsets can be resolved, enabling tracking of NK cell dynamics under infection or immune interventions. Its high adaptability and reproducibility make it a reliable tool for dissecting NK cell functional heterogeneity in infectious disease, vaccine research, and fundamental immunology, supporting cross-species comparisons and mechanistic exploration of immune regulation.

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References

[1] Pomplun N, Weisgrau KL, Evans DT, Rakasz EG. OMIP-028: activation panel for Rhesus macaque NK cell subsets. Cytometry A. 2015 Oct;87(10):890-3. doi: 10.1002/cyto.a.22727. Epub 2015 Jul 28. PMID: 26218174; PMCID: PMC4758211.

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