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OMIP Reviews | OMIP-019: 14-Colour Panel for Focused Detection of γδ T, iNKT, and Hematopoietic Progenitor Cells

Дата выпуска: 2026-04-14  Количество просмотров: 55

A 14-Colour Panel Enabling the Simultaneous Detection of Three Key Cell Populations

OMIP-019 was developed to enable the efficient and coordinated analysis of γδ T cells, invariant natural killer T (iNKT) cells and haematopoietic precursor cells. By integrating a 14-colour marker panel, this OMIP achieves both quantitative assessment and in-depth phenotypic characterisation within a single assay, providing a comprehensive tool for studies at the interface of immunity and haematopoiesis.

Technical Demands in Immunology and Haematopoietic Research

Understanding the functional interplay between γδ T cells, iNKT cells and haematopoietic precursors is essential for dissecting immune regulation and haematopoietic homeostasis. However, conventional flow cytometry strategies typically focus on individual cell types in isolation. Such fragmented approaches require multiple panels and experimental runs, increasing experimental complexity while often compromising data comparability. These limitations make it challenging to perform integrated analyses of the immune–haematopoietic axis.

Core Concept and Innovation of OMIP-019

Rather than simply expanding marker numbers, OMIP-019 introduces a rationally designed 14-colour panel that enables the concurrent identification and phenotypic profiling of three functionally interconnected cell populations. By combining highly specific identification tools with markers for differentiation, activation and migratory potential, OMIP-019 provides a standardised and efficient framework for comprehensive immune–haematopoietic studies.

γδ T cells, invariant natural killer T cells and haematopoietic precursor cells play central roles in immune bridging, lipid antigen recognition and haematopoietic maintenance, respectively. As such, they represent critical targets in both immunological and haematological research. OMIP-019 was specifically designed to support the simultaneous quantification and phenotypic analysis of these three populations through a carefully optimised 14-colour marker configuration.

1. OMIP-019 Panel

Target Fluorochrome Function abinScience Recommendation
Live/Dead AqBlu Exclude non-viable cells
CD3 BV785 T-cell lineage marker View CD3 antibodies
CD34 BV421 Identification of haematopoietic stem/progenitor cells View CD34 antibodies
CD1d / PBS-57 PE Specific identification of iNKT cells
TCR-GV9 APC Identification of γδ T cells View TCR-GV9 antibodies
CD4 QD605 Subset discrimination markers View CD4 antibodies
CD8 QD585 View CD8 antibodies
TCR-DV1 FITC   View TCR-DV1 antibodies
TCR-DV2 Alexa 594
CD27 QD655 Differentiation / activation / migration phenotyping markers View CD27 antibodies
CD28 PE-Cy5 View CD28 antibodies
CCR5 APC-Cy7 View CCR5 antibody
CCR7 Alexa 680 View CCR7 antibody
CD45RA PE-Cy5.5

2. Gate Logic

Figure 1. Overview of OMIP-019 Gating Strategy

1

Identification of the Main Cell Population

Initial gating was performed using FSC/SSC parameters to exclude aggregates. Non-viable cells and non-specific fluorescence arising from dye binding were removed, allowing the selection of viable CD3-positive T cells.

2

Definition of Target Cell Populations

Using CD3/CD34 together with CD1d/PBS-57 and TCR-GV9, the following populations were identified: Haematopoietic stem and progenitor cells (CD34+); iNKT cells (CD3+ CD34− TCR-GV9− CD1d/PBS-57+); γδ T cells (CD3+ CD34− TCR-GV9+ CD1d/PBS-57−).

3

Phenotypic Analysis of iNKT Cells

The activation status, differentiation stage and migratory capacity of iNKT cells were evaluated based on the expression of CD4, CD8, CCR5, CCR7, CD27, CD28 and CD45RA.

4

Subsetting and Phenotypic Analysis of γδ T Cells

γδ T cells were further subdivided using TCR-DV1 and TCR-DV2 expression. Functional phenotypes were then assessed using CD4, CD8, CCR5, CCR7, CD27, CD28 and CD45RA.

3. Experimental Results

1). FSC/SSC-based exclusion of aggregates and removal of dead cells and non-specific dye-associated fluorescence enabled the identification of viable CD3-positive T cells.

Viable CD3-positive T Cell Selection

2). Combined CD3/CD34 and CD1d/PBS-57/TCR-GV9 gating allowed the clear delineation of haematopoietic precursor cells, iNKT cells and γδ T cells.

Delineation of Target Cell Populations

3). The activation, differentiation and migratory profiles of iNKT cells were characterised based on CD4, CD8, CCR5, CCR7, CD27, CD28 and CD45RA expression.

iNKT Cell Phenotypic Analysis

4). γδ T-cell subsets defined by TCR-DV1 and TCR-DV2 were further analysed for functional state, differentiation stage and migratory potential using the same phenotypic markers.

γδ T Cell Subset Analysis

4. Panel Interpretation

4.1 Integrating Functional Relationships Between Three Key Cell Types

OMIP-019 is not a simple aggregation of detection targets. Instead, it is grounded in the intrinsic functional connections between the immune and haematopoietic systems. Haematopoietic precursor cells represent the cellular origin of all blood lineages, γδ T cells act as a bridge between innate and adaptive immunity, and iNKT cells serve as rapid responders to lipid antigens. By enabling the simultaneous analysis of these three populations, OMIP-019 captures the coordinated state of the immune–haematopoietic axis. This integrated approach avoids the complexity and poor comparability associated with multi-panel strategies and provides a more coherent framework for investigating immune dysregulation and haematopoietic abnormalities.

4.2 A Stepwise Design Combining Specific Identification and Deep Phenotyping

The experimental design of OMIP-019 follows a structured progression from precise cell identification to functional interpretation. Target populations are first defined using highly specific tools such as CD34 for haematopoietic precursors, CD1d/PBS-57 multimers for iNKT cells and TCR-GV9 for γδ T cells. Subsequent subdivision into functional subsets is achieved using TCR-DV1/DV2 and CD4/CD8, followed by phenotypic characterisation with differentiation and migration markers including CD45RA and CCR7. The use of PBS-57 enhances the stability and specificity of iNKT cell detection, while Boolean gating strategies integrate multiple markers to move beyond simple enumeration towards functional state inference. This tiered design ensures both specificity and depth in phenotypic analysis.

5. Applications

Functional studies of the immune–haematopoietic axis Long-term immune memory research Mechanistic studies of infectious diseases Evaluation of cancer immunotherapy responses Autoimmune disease research Vaccine development and immune monitoring Investigation of haematopoietic dysfunction

Overall, OMIP-019 has wide applications in immunological and haematological research, particularly in exploring the functional interplay, phenotypic characteristics and regulatory mechanisms of γδ T cells, iNKT cells and haematopoietic progenitor cells, providing important data in both healthy and disease states.

6. Conclusion

Centred on a 14-colour flow cytometry panel, OMIP-019 enables the simultaneous and precise detection of γδ T cells, iNKT cells and haematopoietic precursor cells, together with comprehensive phenotypic characterisation. By overcoming the limitations of single-cell-type analyses and emphasising functional interconnections, this panel balances specificity with analytical depth. OMIP-019 therefore represents a standardised and efficient technical solution for both fundamental research and translational studies in immunology and haematopoiesis, with broad scientific relevance and application potential.

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abinScience provides validated flow cytometry antibodies covering key targets in this panel, supporting your research on γδ T cells, iNKT cells, and hematopoietic progenitor cells

References

[1] Mahnke YD, Beddall MH, Roederer M. OMIP-019: quantification of human γδT-cells, iNKT-cells, and hematopoietic precursors. Cytometry A. 2013 Aug;83(8):676-8.

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