ELISA: Detects CD164 at concentrations as low as 1 ng/μL with biotin-streptavidin amplification .
Flow Cytometry: Used to identify CD164⁺ hematopoietic stem cells (CD34⁺CD38⁻ populations) with 0.1–0.2 μg per 10⁶ cells .
Immunohistochemistry: Validated in human tissues (1:200–1:500 dilution) to localize CD164 in bone marrow stromal cells and epithelial linings .
Hematopoiesis Regulation: Antibody binding to CD164 class I/II epitopes inhibits CD34⁺ cell proliferation and modulates stromal adhesion, critical for maintaining stem cell quiescence .
Disease Relevance: CD164 overexpression in prostate cancer correlates with bone marrow metastasis, detectable via biotin-conjugated antibodies in clinical samples .
Myogenesis: CD164 enhances CXCR4-dependent myoblast migration, a mechanism elucidated using immunoblotting and functional assays .
Cross-reactivity: No significant reactivity with non-target proteins reported in human, mouse, or rat samples .
Lot-specific Data: Available upon request for critical parameters like endotoxin levels (<1 EU/μg) .
CD164, also known as endolyn, MGC-24v, or multi-glycosylated core protein 24, is an 80-100 kDa transmembrane sialomucin protein expressed by multiple cell types including epithelial cells, T and B cells, monocytes, hematopoietic progenitor cells, and activated basophils . The protein functions as both an adhesion molecule and a negative regulator of cell proliferation, particularly in hematopoietic progenitor cells . CD164 has gained significant research interest due to its roles in cell adhesion, migration, and proliferation, as well as its implications in cancer progression . Within the extracellular domain, human CD164 shares approximately 53% sequence identity with mouse and rat CD164, making it an important target for comparative studies across species .
CD164 contains multiple functional epitopes that can be recognized by different monoclonal antibodies. Research has identified at least four key antibody clones (103B2/9E10, 105A5, N6B6, and 67D2) that target distinct regions of CD164 . These epitopes have been classified into three groups based on their sensitivity to enzymatic treatments:
| Epitope Class | Representative Antibody | Sensitivity | Location |
|---|---|---|---|
| Class I | 105A5 | Sialidase, O-glycosidase, O-sialoglycoprotease sensitive | First mucin domain (glycosylated region) |
| Class II | 103B2/9E10 | N-glycanase, O-glycosidase, O-sialoglycoprotease sensitive | First mucin domain (glycosylated region) |
| Class III | N6B6, 67D2 | Resistant to enzyme treatments | Conformational, encompassing cysteine-rich regions encoded by exons 2 and 3 |
Importantly, these epitopes show differential expression patterns across tissues, suggesting that cell type-specific post-translational modifications may influence CD164 function . When selecting a CD164 antibody, researchers should consider which epitope is most relevant to their specific biological question.
For optimal flow cytometry results with biotin-conjugated CD164 antibodies, researchers should follow these methodological guidelines:
Sample preparation: Prepare single-cell suspensions at a concentration of 10^5 to 10^8 cells per test in 100 μL of appropriate buffer (PBS with 1-2% BSA is commonly used)
Antibody titration: Carefully titrate the antibody to determine optimal concentration; start with ≤0.125 μg per test as a general guideline
Incubation conditions: Incubate cells with the primary biotin-conjugated antibody for 20-30 minutes at 4°C in the dark
Washing step: Wash cells twice with buffer to remove unbound antibody
Secondary detection: Incubate with streptavidin-conjugated fluorochrome for 15-20 minutes at 4°C in the dark
Final wash: Wash cells twice before analysis
It's critical to include appropriate controls, including isotype controls (mouse IgG3 for antibody clone 502021, or mouse IgG1,κ for clone 67D2) , unstained controls, and single-color controls if performing multicolor analysis. For multiparameter analysis, researchers should verify that there is no spectral overlap between fluorochromes, or implement proper compensation.
CD164 is highly expressed on primitive hematopoietic progenitor cells, particularly on the CD34+high, AC133high, CD38low subset, making CD164 antibodies valuable for characterizing these populations . To effectively study hematopoietic progenitor cells using CD164 antibodies:
Isolate the target population: Use density gradient centrifugation to isolate mononuclear cells from bone marrow, cord blood, or peripheral blood
Multiparameter approach: Design a panel that includes biotin-conjugated CD164 antibody alongside markers for primitive progenitors (CD34, AC133, CD38)
Functional assays: After identifying CD164+ populations, assess their functional properties through:
When interpreting results, researchers should consider that CD164 expression decreases as cells differentiate, with mature neutrophils and erythrocytes showing low or negligible levels . Additionally, different CD164 epitopes may be differentially expressed on various hematopoietic cell subsets, so antibody selection is crucial for accurate characterization.
Recent research has revealed that CD164 can localize to both the cytoplasm and nucleus, suggesting diverse cellular functions . To investigate the subcellular localization of CD164:
Confocal microscopy: Transfect cells with CD164-EGFP fusion constructs and visualize localization patterns via confocal microscopy. This approach has successfully demonstrated nuclear localization of CD164 in ovarian surface epithelial cells
Subcellular fractionation: Separate nuclear and cytoplasmic fractions using differential centrifugation, followed by immunoblotting with CD164 antibodies to confirm localization patterns
Immunofluorescence staining: Fix and permeabilize cells, then stain with biotin-conjugated CD164 antibodies followed by streptavidin-conjugated fluorophores. Co-stain with nuclear markers (DAPI) and other cellular compartment markers
When studying CD164's nuclear function, researchers should consider examining its potential role in gene regulation. For example, CD164 has been shown to enhance CXCR4 promoter activity in a dose-dependent manner, suggesting direct nuclear effects on gene transcription . Chromatin immunoprecipitation (ChIP) assays could be employed to further investigate CD164's potential interaction with specific DNA regions.
CD164 has been implicated in promoting tumorigenesis through several mechanisms that researchers can investigate using biotin-conjugated CD164 antibodies:
Increased proliferation: CD164 overexpression in human ovarian surface epithelial (hOSE) cells significantly increases proliferation as measured by BrdU incorporation assays . Researchers can use biotin-conjugated CD164 antibodies to sort cells based on CD164 expression levels and compare their proliferative capacities
Anti-apoptotic effects: CD164 upregulates anti-apoptotic Bcl-2 and downregulates pro-apoptotic Bax, contributing to cancer cell survival . This can be investigated through apoptosis assays in cells with manipulated CD164 expression
Anchorage-independent growth: CD164 enhances colony formation in soft agar assays, a hallmark of malignant transformation
SDF-1α/CXCR4 axis activation: CD164 induces SDF-1α production and CXCR4 expression, activating this critical pathway involved in cancer metastasis
Importantly, CD164 has been shown to localize to the nucleus where it can directly enhance CXCR4 promoter activity . Researchers can utilize CD164 antibodies in chromatin immunoprecipitation assays to further characterize this regulatory function. Therapeutic approaches targeting CD164, such as shRNA-mediated knockdown, have shown promise in inhibiting tumor growth in xenograft models, suggesting CD164 as a potential therapeutic target .
CD164 functions as an adhesion receptor, particularly in hematopoietic cells. To effectively study CD164-mediated adhesion:
Cell-cell adhesion assays: Use biotin-conjugated CD164 antibodies to block specific epitopes and assess their impact on cell-cell interactions. The 103B2/9E10 and 105A5 antibodies define functional epitopes that mediate adhesion
Cell-matrix adhesion assays: Evaluate the role of CD164 in adhesion to extracellular matrix components by pre-incubating cells with blocking CD164 antibodies before plating on matrix-coated surfaces
Flow-based adhesion assays: Employ microfluidic systems to study CD164's role in dynamic cell adhesion under physiological flow conditions
When designing these experiments, researchers should consider that different CD164 epitopes may have distinct functions. The classification of CD164 antibodies into three classes based on their sensitivity to glycosidases can guide selection of the appropriate antibody to target specific glycosylated functional domains . Additionally, post-translational modifications of CD164 vary by cell type, potentially affecting adhesion properties in a context-dependent manner.
For comprehensive phenotypic characterization, CD164 antibodies can be effectively combined with other markers in multiparameter analysis:
When designing multiparameter panels, researchers should:
Consider spectral compatibility of fluorochromes
Titrate each antibody individually before combining them
Implement proper compensation controls
Use fluorescence-minus-one (FMO) controls to set accurate gating boundaries
This approach allows for correlation of CD164 expression with functional properties, signaling pathway activation, and cellular fate decisions.
Inconsistent staining with biotin-conjugated CD164 antibodies may result from several technical factors that can be systematically addressed:
Epitope masking: CD164 epitopes may be masked by differential glycosylation patterns. If encountering inconsistent staining, consider:
Cell preparation issues: Optimize fixation and permeabilization protocols, as excessive fixation can mask epitopes or destroy antigen recognition sites
Antibody degradation: Ensure proper storage of biotin-conjugated antibodies (4°C in the dark for reconstituted antibodies, -20 to -70°C for long-term storage)
Endogenous biotin interference: In biotin-rich tissues, consider using a biotin-blocking step before adding biotin-conjugated primary antibodies
Secondary detection issues: If using streptavidin-conjugated reporters, verify their functionality with positive controls and optimize streptavidin concentration to avoid oversaturation or high background
Detailed troubleshooting records should be maintained, documenting lot numbers, protocols, and results to identify patterns and optimize conditions systematically.
CD164 expression varies significantly across cell types and physiological states, which should be considered when interpreting experimental data:
Developmental stage: CD164 is expressed on CD34+ intra-aortic cell clusters in week 4-5 human embryos and on primitive hematopoietic progenitors from fetal liver, cord blood, and bone marrow
Differentiation status: Expression is highest on primitive CD34high, AC133high, CD38low cells and decreases progressively with differentiation, with mature peripheral blood neutrophils and erythrocytes showing low or negligible expression
Malignant transformation: CD164 expression may be upregulated in cancer cells, as observed in ovarian surface epithelial cells upon malignant transformation
Tissue-specific post-translational modifications: Differential glycosylation of CD164 in various tissues results in epitope masking, leading to apparent differences in expression when assessed with different antibody clones
Subcellular localization: CD164 can localize to both the cytoplasm and nucleus, potentially affecting detection depending on the permeabilization protocol used
When comparing CD164 expression across experimental conditions, researchers should maintain consistent protocols and consider these biological variables when interpreting differences in expression levels.
Rigorous validation of CD164 antibody specificity is essential for generating reliable results:
Positive and negative control samples: Include cell types known to express high levels of CD164 (e.g., CD34+ hematopoietic progenitors) and negative controls (e.g., mature erythrocytes)
Knockdown/knockout validation: Confirm specificity by testing the antibody on CD164 knockdown cells (e.g., using shRNA constructs) to demonstrate reduced signal
Recombinant protein controls: Use recombinant CD164 proteins as positive controls, particularly those expressed in NS0 mouse myeloma cell lines transfected with human CD164 (amino acids Asp24-Leu197)
Isotype controls: Include appropriate isotype controls (IgG3 for clone 502021 or IgG1,κ for clone 67D2) at the same concentration as the CD164 antibody
Cross-reactivity testing: If working across species, verify specificity for the target species, noting that human CD164 shares only approximately 53% sequence identity with mouse and rat homologs
Documentation of these validation steps is essential for publication and reproducibility. Additionally, researchers should report the specific clone, lot number, and concentration used in their methods sections.
Recent research has expanded our understanding of CD164's role in solid tumors, particularly in ovarian cancer:
Transcriptional regulation: CD164 has been shown to localize to the nucleus where it can directly enhance CXCR4 promoter activity, suggesting a novel role in transcriptional regulation
SDF-1α/CXCR4 axis modulation: CD164 induces both SDF-1α production and CXCR4 expression, activating this signaling pathway which is critical for cancer cell migration and metastasis
Anti-apoptotic mechanisms: CD164 overexpression leads to increased Bcl-2 and decreased Bax expression, contributing to cancer cell survival
In vivo tumorigenesis: CD164 significantly enhances anchorage-independent growth and in vivo tumor formation in xenograft models
Therapeutic targeting: shRNA-mediated knockdown of CD164 inhibits tumor growth and increases survival time in xenografted mice, suggesting potential therapeutic applications
These findings highlight CD164 as a multifunctional protein that contributes to cancer progression through diverse mechanisms. Future research using biotin-conjugated CD164 antibodies could further elucidate its role in tumor microenvironment interactions, cancer stem cell biology, and metastatic colonization.
Biotin-conjugated CD164 antibodies can be integrated into emerging single-cell technologies:
Mass cytometry (CyTOF): Biotin-conjugated CD164 antibodies can be detected with streptavidin-conjugated metal isotopes, allowing integration into high-parameter CyTOF panels for comprehensive immunophenotyping
Single-cell RNA-seq with protein detection: In protocols like CITE-seq or REAP-seq, biotin-conjugated CD164 antibodies can be used alongside oligonucleotide-tagged streptavidin to simultaneously detect CD164 protein expression and transcriptome profiles at single-cell resolution
Spatial transcriptomics: CD164 antibodies can be incorporated into spatial protein profiling methods to investigate the relationship between CD164 expression and tissue architecture
Multiplexed imaging: For highly multiplexed imaging technologies (e.g., Imaging Mass Cytometry, CODEX), biotin-conjugated CD164 antibodies can be included to visualize CD164 expression in the spatial context of the tissue microenvironment
These approaches enable researchers to position CD164 within complex cellular networks and signaling pathways, providing a more comprehensive understanding of its biological functions in normal and pathological contexts.
Based on current research, several therapeutic strategies targeting CD164 show promise:
RNA interference approaches: shRNA targeting CD164 has demonstrated efficacy in inhibiting tumor growth in ovarian cancer xenograft models, suggesting potential therapeutic applications
Blocking antibodies: Antibodies targeting specific functional epitopes of CD164 (e.g., 103B2/9E10 and 105A5) could potentially disrupt CD164-mediated adhesion and signaling functions
Disruption of CD164-CXCR4 axis: Since CD164 promotes tumorigenesis partly through enhancing the SDF-1α/CXCR4 pathway, combination therapies targeting both CD164 and CXCR4 (e.g., with the CXCR4 antagonist AMD3100) might provide synergistic effects
CAR-T cell therapy: CD164 expression on certain cancer cells could potentially be exploited for chimeric antigen receptor T-cell therapy, similar to approaches using other surface markers
For researchers developing such therapeutic approaches, biotin-conjugated CD164 antibodies serve as valuable tools for target validation, monitoring target engagement, and assessing therapeutic efficacy in preclinical models.