High-Dimensional Polychromatic Analysis
We perform 14- to 30-color flow cytometry using both conventional and spectral flow cytometry platforms, enabling deep immune profiling with minimal spillover and optimal resolution. Key Applications:
- Comprehensive Immunophenotyping:
- T-cell subsets (memory, effector, exhausted, regulatory) via CD3/CD4/CD8/CD45RA/CD45RO/CCR7/CD27/CD25/CD127/PD-1/LAG-3/TIGIT.
- B-cell maturation (CD19/CD20/CD27/IgD) and plasma cells (CD38).
- NK/NKT cells (CD56/CD16) and innate lymphoid cells (ILCs).
- Myeloid lineages (CD14/CD16/CD11c/CD123/CD1c) and dendritic cell subsets.
- Functional & Activation States:
- Proliferation (Ki67), activation (CD69/CD25/OX-40), and exhaustion markers (PD-1/TIM-3/BTLA).
- Intracellular cytokine staining (e.g., IFN-γ, IL-2, IL-17).
Spectral Flow Cytometry for Ultra-High-Parameter Panels
Our spectral flow cytometry platform enables 25+-color panels with superior resolution for:
- Unsupervised population discovery (rare cell subsets, heterogeneous tumor microenvironments).
- Minimal spectral overlap, even for challenging markers (e.g., CD4/CD8/TCRγδ).
- Automated dimensionality reduction for data visualization.
Custom Panel Design & Validation
We specialize in tailored panel development for unique research needs, including:
- Target-Specific Panels:
Checkpoint inhibitors (PD-1/PD-L1, CTLA-4, LAG-3, TIGIT).
Metabolic markers (CD73, CD39), phagocytosis signals (CD47/SIRPα). - Intracellular & Phosphoflow Staining:
Signaling pathways (pSTAT, pAKT, pERK) in response to therapies.
Transcription factors (FoxP3, Helios) for Treg characterization
Functional & Dynamic Assays
Beyond phenotyping, we offer:
- Proliferation & Apoptosis: CFSE dilution, Annexin V/7-AAD.
- Calcium Flux & Cytotoxicity: Real-time functional assays.
- Cell Cycle Analysis: DAPI/Hoechst staining.
Data Analysis & Bioinformatics
- Advanced Gating Strategies: Multi-parametric analysis.
- High-Dimensional Clustering: Identify novel subsets via computational tools.
- Statistical Integration: Correlate flow data with clinical/omics datasets.