ML5 detects CD24 expression patterns critical for distinguishing lymphocyte developmental stages. For example:
B-cell maturation: CD24 is highly expressed on transitional B cells but downregulated in mature follicular B cells .
Anergy studies: In murine models (e.g., SWHEL × ML5 mice), ML5 helped identify anergic B cells excluded from lymphoid follicles due to self-antigen exposure .
ML5 has shown therapeutic potential in mantle cell lymphoma (MCL):
Phagocytosis induction: ML5 triggered antibody-dependent cellular phagocytosis (ADCP) in MCL cell lines and primary patient-derived cells, achieving >90% tumor cell clearance in vitro .
Comparative efficacy:
| Parameter | ML5 Antibody | SN3 Antibody | CD47 Antibody |
|---|---|---|---|
| ADCP in MCL | Strong | Strong | Moderate |
| Siglec-10 checkpoint | No | Yes | No |
| Efficacy in DLBCL | Low | Low | High |
While ML5’s efficacy in MCL matched SN3, its mechanism relies solely on ADCP, unlike SN3, which also blocks the CD24/Siglec-10 immune checkpoint .
Autoimmunity models: In MD4 × ML5 mice, ML5 revealed that anergic B cells retain the ability to secrete IgM autoantibodies upon CD40/IL-4 stimulation, suggesting pathways to bypass tolerance .
Biomarker potential: High CD24 mRNA levels correlate with poor survival in MCL and follicular lymphoma, positioning ML5 as a prognostic tool .
ML5 is a monoclonal mouse IgG2a kappa antibody that specifically binds to human CD24, a 35-70 kDa glycophosphatidylinositol (GPI)-linked glycoprotein . CD24 is also known as CD24A, signal transducer CD24, or small cell lung carcinoma cluster 4 antigen . The antibody recognizes the full-length version of the CD24 protein and has been validated extensively for reactivity with human samples . Based on immunogen sequence analysis, ML5 is expected to show cross-reactivity with CD24 from chimpanzees and baboons, making it valuable for comparative studies across primate species .
ML5 antibody has been validated for multiple research applications including:
Flow Cytometry (recommended dilution: 1:10-1:1000)
Immunocytochemistry/Immunofluorescence (recommended usage: <0.125 μg/10^6 cells)
Immunohistochemistry (recommended dilution: 1:10-1:500)
Immunohistochemistry-Frozen (recommended concentration: 5-25 μg/ml)
CD24 shows expression on multiple cell types that can be detected using ML5 antibody:
B lymphocyte lineage cells (except plasma cells)
Neutrophils
Eosinophils
Dendritic cells
Neural cells
Epithelial cells
Muscle cells
CD24 is variably expressed on B lineage cells during development and differentiation, making ML5 a valuable marker for distinguishing between lymphocyte developmental stages .
For optimal results in flow cytometry applications with ML5 antibody:
Titration: While the recommended range is 1:10-1:1000, perform a titration experiment with different antibody concentrations (e.g., 0.5 μg/10^6 cells, 0.25 μg/10^6 cells, 0.125 μg/10^6 cells) to determine optimal signal-to-noise ratio .
Controls: Include appropriate isotype controls (Mouse IgG2a kappa) to assess non-specific binding, and include both CD24 positive (e.g., MCF-7 cells) and negative cell populations .
Multiparameter analysis: ML5 has been successfully used in multiparameter flow cytometry panels. When designing panels, consider fluorophore brightness and spectral overlap with other markers .
Sample preparation: Fresh samples yield optimal results. For peripheral blood lymphocytes, use either purified ML5 detected with anti-mouse IgGs FITC or directly conjugated ML5-FITC, depending on your experimental design .
Data analysis: When analyzing CD24 expression, consider using biexponential display for proper visualization of the full range of expression levels.
For optimal immunocytochemistry/immunofluorescence results:
Fixation: Use 4% paraformaldehyde fixation for 10-15 minutes at room temperature .
Permeabilization: If intracellular staining is required, permeabilize with 0.1% Triton X-100 for 5-10 minutes .
Blocking: Block non-specific binding with appropriate blocking buffer (typically 5-10% normal serum from the same species as the secondary antibody).
Primary antibody: Apply ML5 at concentrations <0.125 μg/10^6 cells. For adherent cells, this typically translates to 1-5 μg/ml .
Secondary detection: Use appropriate fluorophore-conjugated anti-mouse IgG secondary antibodies.
Counterstaining: Include nuclear counterstain (e.g., DAPI) and any additional markers of interest.
Validation: MCF-7 breast cancer cells have been validated as a positive control for CD24 detection using ML5 in immunofluorescence applications .
The ML5 antibody should be stored at 4°C and should not be frozen to maintain its stability and functionality . The typical formulation includes:
PBS buffer
0.02% Sodium Azide as a preservative (note that sodium azide yields highly toxic hydrazoic acid under acidic conditions; dilute azide compounds in running water before discarding)
CD24 expression is a key marker for cancer stem cells in several tumor types. For identification and isolation of CD24-expressing cancer stem cells:
Flow cytometry/FACS isolation: Use ML5 in combination with other stem cell markers. For example, CD44+/CD24- phenotype in breast cancer or CD24+/CD44+ in other cancer types can identify stem-like populations .
Imaging applications: ML5 has been conjugated to near-infrared fluorescent dye multiplex probe amplification (MPA) to form G7mAb-MPA for in vivo imaging of CD24+ tumors, such as Huh7 hepatocellular carcinoma xenografts .
Functional validation: After isolation of CD24+ cells using ML5 antibody, confirm stem cell properties through:
Sphere formation assays
In vivo tumorigenicity assays
Differentiation capacity assays
Drug resistance assessments
Comparative analysis: Compare ML5 with other anti-CD24 antibodies (such as G7mAb) for specific cancer applications. Research has shown that custom-developed antibodies like G7mAb have similar binding capacity to ML5 in immunohistochemical assays .
CD24 plays a significant role in immune cell differentiation and function:
B cell development tracking: Use ML5 in flow cytometry panels with additional B cell markers (CD19, CD21, CD27, IgD) to track B cell maturation stages, as CD24 expression varies during B cell development .
Functional assays: Combine ML5 staining with functional readouts (proliferation, cytokine production) to correlate CD24 expression with specific immune cell functions.
Multiparameter analysis: Create comprehensive immunophenotyping panels including:
Time-course experiments: Monitor CD24 expression changes during immune cell activation or differentiation over time using ML5 antibody.
ML5 antibody can be effectively utilized for various imaging applications targeting CD24+ tumors:
Near-infrared fluorescence imaging: Similar to the approach with G7mAb and G7S, ML5 can be conjugated to near-infrared fluorescent dyes for in vivo imaging of CD24+ tumor xenografts .
Multiplex immunohistochemistry: ML5 can be incorporated into multiplex IHC panels to study CD24 expression in relation to other tumor markers and the tumor microenvironment.
Protocol optimization:
Validation: Confirm specificity using positive controls (e.g., MCF-7 cells) and negative controls (CD24-negative cell lines or tissues) .
| Issue | Possible Causes | Solutions |
|---|---|---|
| Weak or no signal | Insufficient antibody concentration | Increase antibody concentration or incubation time |
| Sample degradation | Use fresh samples; optimize fixation protocols | |
| CD24 epitope masking | Optimize antigen retrieval methods | |
| High background | Excessive antibody concentration | Titrate antibody; reduce concentration |
| Insufficient blocking | Increase blocking time/concentration | |
| Non-specific binding | Use appropriate isotype controls; optimize washing steps | |
| Inconsistent results | Variability in CD24 glycosylation | Consider glycosylation-independent epitopes |
| Protocol variations | Standardize protocols across experiments | |
| Poor cell viability in flow cytometry | Harsh dissociation methods | Optimize cell preparation techniques |
| Azide toxicity | Wash cells thoroughly after staining |
To validate ML5 antibody specificity:
Positive controls: Use cell lines known to express CD24, such as MCF-7 breast cancer cells which have been validated for ML5 antibody .
Negative controls:
Isotype control (Mouse IgG2a kappa) to assess non-specific binding
CD24-negative cell lines or tissues
CD24 knockdown/knockout models if available
Blocking experiments: Pre-incubate ML5 antibody with recombinant CD24 protein before staining to confirm binding specificity.
Multiple detection methods: Confirm CD24 expression using alternative methods (e.g., RT-PCR, Western blot) and compare with ML5 antibody staining patterns.
Comparison with other anti-CD24 clones: Compare staining patterns with other validated anti-CD24 antibodies to confirm target specificity .
When incorporating ML5 into multicolor flow cytometry panels:
Panel design considerations:
Select fluorophores based on expression level of CD24 in your samples (brighter fluorophores for lower expressed antigens)
Consider spectral overlap and compensation requirements
Match fluorophore brightness with antigen density
Titration: Titrate ML5 antibody for each specific application and fluorophore conjugate to determine optimal signal-to-noise ratio .
Controls:
Include FMO (Fluorescence Minus One) controls
Use isotype controls with matching fluorophores
Include compensation controls for each fluorophore
Sample preparation: Optimize fixation and permeabilization based on all markers in your panel, not just CD24.
Example validated panel: ML5 has been successfully used in panels including markers such as CD3, CXCR5, HLA-DR, CD4, CD69, CCR7, CD45RA, IgD, CD11c, CD38, CD19, CD21, CXCR3, CD27, and others for comprehensive immunophenotyping .
ML5 antibody applications in cancer research extend beyond basic cell identification:
Prognostic biomarker evaluation: CD24 expression assessed by ML5 can be correlated with clinical outcomes in various cancer types.
Treatment response monitoring: Track changes in CD24+ cell populations following therapy using flow cytometry with ML5.
Therapeutic targeting validation: ML5 can be used to validate CD24 as a therapeutic target, similar to the approach with G7mAb and G7S antibodies in hepatocellular carcinoma models .
Cancer stem cell research: Identify and isolate CD24+ cancer stem cell populations for:
Drug screening assays
Resistance mechanism studies
Tumor initiation capacity assessment
In vivo imaging: When conjugated to appropriate imaging agents, ML5 can be used to track CD24+ tumors in vivo, similar to the G7mAb-MPA approach demonstrated in hepatocellular carcinoma xenografts .
ML5 antibody has applications in vaccination and immune response studies:
B cell response tracking: Monitor changes in CD24 expression on B cells following vaccination to track B cell activation and differentiation.
Post-vaccination analysis: ML5 has been used in studies examining antibody responses after SARS-CoV-2 mRNA vaccination, particularly in patients previously treated with anti-CD20 antibodies .
Methodology:
Use ML5 in flow cytometry panels alongside markers of B cell activation and maturation
Track temporal changes in CD24 expression patterns following vaccination
Correlate CD24 expression with antibody production capacity
Sample processing protocol:
CD24 plays important roles in immune cell interactions that can be studied using ML5 antibody:
Adhesion and migration: CD24 functions as an adhesion receptor, with ML5 allowing researchers to track its role in cell-cell interactions.
Ligand interactions: CD24 interacts with P-selectin (CD62P) on activated platelets and endothelium. ML5 can be used in binding inhibition studies to understand these interactions .
Signaling studies: CD24 signaling may be triggered by lectin-like ligand binding to CD24 carbohydrates. ML5 can help track these interactions and subsequent signaling cascades.
B cell regulation: CD24 promotes antigen-dependent B cell proliferation while preventing terminal differentiation into antibody-forming cells. ML5 allows researchers to track this role in B cell function .
Autoimmunity research: CD24, in association with SIGLEC10, may be involved in suppressing immune responses to danger-associated molecular patterns (DAMPs). ML5 can be used to study this regulatory role in autoimmunity .