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Flow Cytometry Services

Gempharmatech's flow cytometry laboratory combines state-of-the-art automated tissue processing with advanced multi-color flow cytometers, operated by a team of dedicated specialists. Our capabilities span immune cell profiling across diverse tissue types and disease models, tumor-infiltrating lymphocyte (TIL) detection, and in vitro drug evaluation — from straightforward cell profiling to highly complex multi-parameter studies. Whatever your program requires, we tailor every solution to deliver the precision and consistency you need to advance your preclinical drug discovery program with confidence.
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Advantages
Advantages
  • Advanced Instrumentation: The platform features 4 multicolor flow cytometers equipped with high-speed 96-well plate samplers to meet diverse experimental requirements, supporting the successful completion of over 3,000 projects.

  • Expertise in Panel Design: Our experienced technical team specializes in multicolor flow cytometry panel design and has established over 50 validated detection panels.

  • Automated Processing: Automated tissue processing equipment ensures highly stable and reliable experimental data.

  • Quality Assurance: Standard operating procedures (SOPs) guarantee strict data accuracy and traceability.

Capabilities
Service Capabilities

1. Service Portfolio

In Vitro Drug Screening

  • Absolute antigen quantification

  • Antibody binding assays

  • ADCC, ADCP, and CDC assays

  • Antibody endocytosis assays

  • Cell cycle analysis

  • Cell proliferation assays

  • Cell killing assays

In Vivo Efficacy Evaluation

  • Immune Cell Profiling: Multiple validated panels available, supporting up to 20 colors per panel.

  • Tissue Sample Analysis: Spleen, thymus, bone marrow, lymph nodes, skin, kidney, liver, lung, brain, small intestine, etc.

  • Tumor-Infiltrating Lymphocyte (TIL) Detection: High-dimensional profiling with up to 20 colors per panel.

  • Pharmacodynamic (PD) Biomarkers: Receptor occupancy (RO) assays and CAR-T cell tracking.

Cytokine Analysis

  • CBA multiplex cytokine assays

  • Intracellular cytokine staining (ICS)

Special Project Analysis

  • Red blood cell (RBC) and erythropoiesis analysis

  • Platelet activation and aggregation analysis

  • Fluorescence-Activated Cell Sorting (FACS)

2. Platform & Service Details

In Vitro Drug Screening

GemPharmatech offers a comprehensive suite of in vitro assays to accelerate early-stage drug discovery. Our capabilities include tumor target screening, precise antibody-binding affinity characterization, in vitro efficacy evaluation (including ADCC, ADCP, and CDC), as well as robust assays for cell proliferation, cell cycle, and apoptosis.

In Vivo Efficacy Evaluation

Mouse immune profiles are dynamically modulated by gene knockouts, humanized target modifications, and therapeutic treatments. We comprehensively assess the murine immune system by analyzing the frequency and absolute count of T cells, B cells, NK cells, monocytes, granulocytes, macrophages, dendritic cells (DCs), and other subpopulations in peripheral blood and lymphoid organs. Flow cytometric profiling of these diverse immune cell populations helps identify target cell types affected by genetic modifications or therapies, providing critical insights into drug mechanisms of action.

Tumor-Infiltrating Lymphocyte (TIL) Detection

Tumor-infiltrating lymphocytes (TILs) are key immune components within the tumor microenvironment (TME), primarily comprising cytotoxic T cells, helper T cells, regulatory T cells (Tregs), NK cells, and myeloid populations.

The role of TILs in oncology is twofold:

  1. Anti-tumor Effector Functions: Specific TIL subpopulations recognize and eliminate tumor cells. For example, cytotoxic T cells identify tumor-associated antigens and directly induce tumor lysis by releasing cytotoxic molecules such as perforin and granzyme B, while NK cells mediate direct tumor destruction.

  2. Pro-tumor Immunosuppression: Conversely, certain populations within the TME, such as Tregs, suppress anti-tumor immunity and facilitate immune escape. Additionally, tumor-associated macrophages (TAMs) often polarize into an M2 phenotype, promoting tumor growth, angiogenesis, and metastasis.

Tissue-Specific Immune Profiling

  • Thymus: Characterization of T-cell differentiation and developmental stages.

  • Lymph Nodes: Profiling of T cells, B cells, and dendritic cells (DCs).

  • Bone Marrow: Evaluation of B-cell development, erythropoiesis, and hematopoietic stem cells (HSCs).

  • Kidney: Assessment of inflammatory cell infiltration in nephritis or injury models.

  • Lung: Analysis of immune cell infiltration in pulmonary tumor models or inflammatory disease states.

  • Skin: Characterization of inflammatory cellular infiltrates in dermatitis or wound models.

  • Brain: Profiling of neuroinflammatory and microglia populations within brain tissue.

  • Small Intestine: Isolation and analysis of intraepithelial lymphocytes (IELs) and lamina propria mononuclear cells (LPMCs).

Red Blood Cell Analysis

Engraftment of human CD34+ hematopoietic stem cells (HSCs) in NCG-X mice successfully reconstitutes human erythroid lineages. This advanced model serves as a powerful platform for thalassemia and hematological disease research by enabling the precise quantification of human red blood cells and hemoglobin variants in the bone marrow and peripheral blood.

Cytometric Bead Array (CBA)

Cytometric Bead Array (CBA) is a flow-cytometry-based multiplex assay that enables the simultaneous quantification of multiple soluble proteins (such as cytokines and chemokines) within a single small-volume sample. The platform utilizes capture-antibody-coated beads with distinct fluorescence intensities. Once incubated with samples (e.g., serum, plasma, culture supernatant, or cell lysate) and PE-conjugated detection antibodies, the sandwich complexes are resolved on a flow cytometer. Protein concentrations are calculated by comparing PE fluorescence intensities against a software-generated standard curve. Compared to conventional ELISA, the CBA assay is highly sample-efficient and offers a streamlined, high-throughput workflow.

3. Instrument Specifications

  • Cytek Full-Spectrum Flow Cytometers: Equipped with 3 lasers, supporting up to 38 detection channels.

  • Thermo Attune NxT Flow Cytometers: Equipped with 4 lasers, supporting up to 14 detection channels with acoustic focusing technology.



Case Studies
Case Studies & Validation Data
In Vitro Drug Screening
  • EGFR Screening and PD-1 Antibody Binding Assayicon-arrow-g

    Fig1. A: Tumor cell antigen screening to identify tumor cells with high EGFR expression. B: Analyze the binding activity of Opdivo or Keytruda on Jurkat-hPD1 cells.


  • Cellular Internalization of DS-8201aicon-arrow-g

    Fig2. A: Cellular internalization experimental procedure. B: Endocytosis of DS-8201a in SK-BR-3 cells was detected by flow cytometry.


In Vivo Efficacy Evaluation
  • Analysis of spleen in BALB/c mouse (16-colors panel).icon-arrow-g

    Population

    Gating Step

    Total Leukocytes

    mCD45+

    /

    /

    /

    /

    Myeloid

    mCD45+

    mCD11b+

    /

    /

    /

    Macrophages

    mCD45+

    mCD11b+

    F4/80+/-

    /

    /

    M1

    mCD45+

    mCD11b+

    F4/80+/-

    MHCII hi

    CD206 lo

    M2

    mCD45+

    mCD11b+

    F4/80+/-

    MHCII lo

    CD206 hi

    Neutrophils

    Not Macrophages

    mLy6G+

    mLy6C lo

    /

    /

    Monocytes

    Not Macrophages

    mLy6G-

    mLy6C hi

    /

    /

    DC

    Not Macrophages

    MHCII+

    mCD11c+

    /

    /

    T cells

    mCD45+

    mCD11b-

    mCD3+

    /

    /

    NK cells

    mCD45+

    mCD11b-

    mCD335+

    /

    /

    B cells

    mCD45+

    mCD11b-

    mCD19+

    /

    /

    Th

    mCD45+

    mCD11b-

    mCD3+

    mCD4+

    mCD8-

    Tc

    mCD45+

    mCD11b-

    mCD3+

    mCD4-

    mCD8+

    Treg

    mCD45+

    mCD11b-

    mCD3+

    mCD4+

    mCD25+FOXP3+

    Fig3. Gating strategy for immune cell subpopulation clustering.


  • Analyze the subpopulations of various immune cell types in HSC-reconstituted mice (15-color panel).icon-arrow-g

    Population

    Gating Step

    Human Leukocytes

    hCD45+mCD45-

     /

     /

    Mouse Leukocytes

    hCD45-mCD45+

     /

    T cells

    hCD45+mCD45-

    hCD3+

     /

     /

    Th

    hCD45+mCD45-

    hCD3+

    hCD4+hCD8-

     /

    Tc

    hCD45+mCD45-

    hCD3+

    hCD4-hCD8+

     /

    Treg

    hCD45+mCD45-

    hCD3+

    hCD4+hCD8-

    hCD25+hCD127lo

    B cells

    hCD45+mCD45-

    hCD19+

     /

     /

    Myeloid cells

    hCD45+mCD45-

    hCD33+

     /

     /

    Monocytes

    hCD45+mCD45-

    hCD33+

    hCD14+

     /

    Granulocytes

    hCD45+mCD45-

    hCD33+

    hCD66b+

     /

    Neutrophils

    hCD45+mCD45-

    hCD33+

    hCD66b+

    hCD16+

    DC

    hCD45+mCD45-

    hCD33+

    hCD14-

    hHLA-DR+

    Macrophages

    hCD45+mCD45-

    hCD33+

    hCD68+

    /

    Fig4. Gating strategy for immune cell subpopulation in the NCG-M-HSC model.


Tumor Infiltrating Lymphocyte (TILs) Detection
  • Analysis of TILs in BALBc-hTIM3 mice bearing CT26 tumors (10-color panel).icon-arrow-g

    Population

    Gating Step

    Total Leukocytes

    Live single

    mCD45+

    /

    /

    /

    NK Cells

    Live single

    mCD45+

    mCD3-

    mCD335+

    /

    T Cells

    Live single

    mCD45+

    mCD3+

    mCD335-

    /

    Th

    Live single

    mCD45+

    mCD3+

    mCD4+

    mCD8-

    Tc

    Live single

    mCD45+

    mCD3+

    mCD4-

    mCD8+

    Treg

    Live single

    mCD45+

    mCD3+

    mCD4+

    mCD25+

    mFOXP3+

    Myeloid Cells

    Live single

    mCD45+

    mCD11b+

    /

    /

    Fig5. Gating strategy for immune cell subpopulation in TILs.


Tissue Sample Analysis
  • To evaluate the immune cell infiltration in mouse lung tissues in a murine asthma models (14 colors).icon-arrow-g

    Population

    Gating Step 

    Leukocytes

    mCD45+

    /

    /

    /

    Macrophages

    mCD45+

    MERTK+

    /

    /

    Alveolar macrophages

    mCD45+

    MERTK+

    CD11b-Siglec-F+

    /

    Interstitial macrophages

    mCD45+

    MERTK+

    CD11b+Siglec-F-

    /

    Neutrophils

    Not Macrophage

    mCD11b+

    Ly6G+

    /

    Monocytes

    Not Neutrophils

    mCD11b+

    Ly6C hi

    /

    Eosinophils

    Not monocytes

    mCD11b+

    SSC-H hi

    /

    DC

    Not eosinophils

    CD11b+CD11c+

    /

    /

    T cells

    Not eosinophils

    mCD3+

    mCD19-

    /

    Th

    Not eosinophils

    mCD3+

    mCD19-

    CD4+CD8-

    Tc

    Not eosinophils

    mCD3+

    mCD19-

    CD4-CD8+

    B cells

    Not eosinophils

    mCD19+

    mCD3-

    /

    Conventional B

    Not eosinophils

    mCD19+

    mCD3-

    mCD23+

    Analysis of mCD69 in T and B cells

    Fig6. Gating strategy for immune cell subpopulation in lung tissue.


  • To evaluate the T cell subsets in intestinal tissue. icon-arrow-g

    Population

    Gating Step (14 colors)

    Total Leukocytes

    mCD45+

    /

    /

    /

    /

    T cells

    mCD45+

    mCD3+mCD19-

    /

    /

    /

    B cells

    mCD45+

    mCD3-mCD19+

    /

    /

    /

    Th

    mCD45+

    mCD3+mCD19-

    mCD4+mCD8-

    /

    /

    Tc

    mCD45+

    mCD3+mCD19-

    mCD4-mCD8+

    /

    /

    Memory T

    mCD45+

    mCD3+mCD19-

    mCD4+mCD8-

    mCD44+mCD62L+

    Analysis in Th and Tc

    Effector T

    mCD45+

    mCD3+mCD19-

    mCD4+mCD8-

    mCD44+mCD62L-

    Naive T

    mCD45+

    mCD3+mCD19-

    mCD4+mCD8-

    mCD44-mCD62L+

    Treg

    mCD45+

    mCD3+mCD19-

    mCD4+mCD8-

    mCD25+FOXP3

    /

    Th1

    mCD45+

    mCD3+mCD19-

    mCD4+mCD8-

    T-bet+

    /

    Th17

    mCD45+

    mCD3+mCD19-

    mCD4+mCD8-

    R0RγT+

    /

    Tfh

    mCD45+

    mCD3+mCD19-

    mCD4+mCD8-

    mPD1+mCXCR5+

    /

    Th2

    mCD45+

    mCD3+mCD19-

    mCD4+mCD8-

    GATA3+

    /

    Fig7. Gating strategy for immune cell subpopulation in intestinal tissue, including Th cell subsets Th1, Th2, Th17, and Treg.


  • Analysis of infiltrating immune cells in brain tissue. (10-color panel)icon-arrow-g

    Population

    Gating step

    Total Leukocytes

    Live single

    mCD45+

    /

    /

    /

    Neutrophils

    Live single

    mCD45+

    mCD11b+

    Ly6G+

    /

    Monocytes

    Live single

    Not Neutrophiles

    mCD11b+

    Ly6C hi

    /

    Eosinophils

    Live single

    Not monocytes

    mCD11b+

    SSC-H hi

    /

    Macrophages

    Live single

    Not eosinophils

    mCD11b+

    F4/80+

    /

    T cells

    Live single

    Not eosinophils

    mCD3+

    mCD19-

    /

    B cells

    Live single

    Not eosinophils

    mCD19+

    mCD3-

    /

    Th

    Live single

    Not eosinophils

    mCD3+

    mCD4+

    mCD8-

    Tc

    Live single

    Not eosinophils

    mCD3+

    mCD4-

    mCD8+

    Fig8. Gating strategy for immune cell subpopulation in brain.


Red Blood Cell Detection
  • Analysis of bone marrow red blood cells and HbF detection.icon-arrow-g

    Fig9. Gating strategy for red blood cells.


Cytometric Bead Array
  • Detection of TNF-α and IL-6 levels in mouse serum before and after drug treatment.icon-arrow-g

    Fig10. The expression of TNF-α and IL-6 was significantly increased after drug treatment.


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