CD44 Antibody

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Description

Definition and Structure

CD44 is a transmembrane glycoprotein that serves as the primary receptor for hyaluronic acid (HA), playing a critical role in cell adhesion, migration, and tumor progression . The CD44 antibody is a tool used to detect or target this protein, with applications spanning research, diagnostics, and therapeutic development. Structurally, CD44 exists in multiple isoforms due to alternative splicing, including the standard form (CD44s) and variant isoforms (e.g., CD44v6) .

Biological Functions

  • Cancer Stem Cells (CSCs): CD44 is frequently overexpressed in CSCs, where it promotes tumor initiation, drug resistance, and metastasis . For example, CD44v6 isoforms activate oncogenic pathways like PI3K/Akt/mTOR, driving epithelial-to-mesenchymal transition (EMT) in prostate cancer .

  • Immune Regulation: CD44 modulates immune cell infiltration, with positive correlations to CD8+ T cells and macrophages in bladder cancer (BLCA) . It also regulates PD-L1 expression, impacting tumor immune evasion .

  • Hyaluronic Acid Interaction: CD44 binds HA to mediate cell migration and survival, a mechanism exploited by pathogens to facilitate infection .

Applications in Research and Diagnostics

ApplicationMethodKey Findings
CSC MarkersFlow CytometryCD44bright populations are highly tumorigenic in colorectal cancer .
PrognosisImmunohistochemistryCD44 overexpression correlates with poor survival in pancreatic and ovarian cancers .
Drug DeliveryNanoparticle TargetingHA-coated nanoparticles loaded with anti-KRAS siRNA selectively target CD44+ ovarian cancer cells .

Therapeutic Antibodies

Several anti-CD44 monoclonal antibodies (mAbs) have been developed:

AntibodyTargetMechanismEfficacy
RG7356Pan-CD44Complement-dependent cytotoxicity (CDC) Stabilized disease in 21% of patients with advanced solid tumors .
44Mab-5/46CD44s/vCDC and antibody-dependent cellular cytotoxicity (ADCC) Inhibited tumor growth in esophageal cancer xenografts .
CD44v6-CAR TCD44v6T-cell activation against solid tumors Prolonged survival in lung and ovarian cancer models .

Clinical Trials

  • RG7356 Phase I Trial: Evaluated in 65 patients with CD44+ solid tumors. Maximum tolerated dose (MTD): 1,500 mg every 2 weeks. Modest efficacy but no dose-dependent response .

  • CD44v6-CAR T Cells: Preclinical studies show promise in targeting CD44v6-expressing hepatocellular carcinoma .

Future Directions

  • Combination Therapies: Synergistic effects with checkpoint inhibitors (e.g., anti-PD-1) are under investigation .

  • Biomarker Development: CD44 isoforms (e.g., CD44v6) may serve as predictive markers for immunotherapy response .

Challenges and Considerations

  • Heterogeneity: Variable expression of CD44 isoforms complicates targeting strategies .

  • Toxicity: Off-target effects on normal tissues expressing CD44 (e.g., hematopoietic cells) require optimized dosing .

References

  1. PMC4404944 (2015)

  2. 10.1155/2016/2087204 (2016)

  3. PNAS.96.12.6896 (1999)

  4. 10.3892/or.2024.8806 (2024)

  5. 10.1155/2016/2087204 (2016)

  6. 10.3892/or.2024.8806 (2024)

  7. Cell Signaling Technology (2024)

  8. R&D Systems (2024)

  9. 10.1155/2016/2087204 (2016)

  10. Nature.41598-023-34154-3 (2023)

  11. Nature.41598-023-33915-4 (2023)

  12. Abcam (2017)

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (12-14 weeks)
Synonyms
LHR antibody; BA-1 antibody; CD 44 antibody; CD44 antibody; CD44 antigen antibody; CD44 molecule (Indian blood group) antibody; CD44 molecule antibody; CD44_HUMAN antibody; CDw44 antibody; CDW44 antigen antibody; Cell surface glycoprotein CD44 antibody; chondroitin sulfate proteoglycan 8 antibody; CSPG8 antibody; ECMR-III antibody; Epican antibody; Extracellular matrix receptor III antibody; GP90 lymphocyte homing/adhesion receptor antibody; HCELL antibody; hematopoietic cell E- and L-selectin ligand antibody; Heparan sulfate proteoglycan antibody; Hermes antigen antibody; homing function and Indian blood group system antibody; HSA antibody; HUTCH-I antibody; HUTCH1 antibody; HUTCHI antibody; Hyaluronate receptor antibody; IN antibody; INLU-related p80 Glycoprotein antibody; MC56 antibody; MDU2 antibody; MDU3 antibody; MGC10468 antibody; MIC4 antibody; MUTCH I antibody; MUTCH1 antibody; PGP-1 antibody; PGP-I antibody; PGP1 antibody; Phagocytic glycoprotein 1 antibody; Phagocytic glycoprotein I antibody; Soluble CD44 antibody
Target Names
Uniprot No.

Target Background

Function
CD44, a cell-surface receptor, plays a critical role in cell-cell interactions, cell adhesion, and migration. It facilitates the sensing and response of cells to changes in their tissue microenvironment, thereby participating in a wide spectrum of cellular functions. These include the activation, recirculation, and homing of T-lymphocytes, hematopoiesis, inflammatory responses, and defense against bacterial infections. Through its ectodomain, CD44 interacts with extracellular matrix components such as hyaluronan/HA, collagen, growth factors, cytokines, and proteases. Acting as a signaling platform, its cytoplasmic domain assembles protein complexes containing receptor kinases and membrane proteases. These effectors, including PKN2, the RhoGTPases RAC1 and RHOA, Rho-kinases, and phospholipase C, orchestrate signaling pathways promoting calcium mobilization and actin-mediated cytoskeleton reorganization. These processes are essential for cell migration and adhesion.
Gene References Into Functions
  1. Interleukin-4 induces a CD44high /CD49bhigh PC3 subpopulation with tumor-initiating characteristics. PMID: 29236307
  2. Research has shown that miR711-mediated downregulation of CD44 expression inhibits EMT of gastric cancer cells in vitro and in vivo by downregulating vimentin protein expression and upregulating E-cadherin protein expression through transfection, qRTPCR, and western blotting. PMID: 30226620
  3. Expression levels of MACC1, CD44, Twist1, and KiSS-1 are associated with the duration of overall survival among patients with colonic adenocarcinoma. PMID: 30021598
  4. miR-218-5p is downregulated in invasion front cells and negatively regulates oral squamous cell carcinoma invasiveness by targeting the CD44-ROCK pathway. PMID: 29990854
  5. A study demonstrated that miR-520b inhibits the malignancy of HNC through regulation of cancer stemness conversion by targeting CD44. PMID: 28515423
  6. Research has identified two potential host factors for P. falciparum during invasion: CD44 and CD55. (Review) PMID: 29249333
  7. Reports indicate that high CD44 expression in ascites tumor cells (ATC) correlates with CSC and EMT phenotype, both regulated by the tumor microenvironment through several signaling pathways, including the TGF-beta signaling pathway. PMID: 30142697
  8. Research has identified Twist1 and CD44 as novel REST targeted genes, providing new insights into the epigenetic regulation of Twist1 and CD44 by REST. PMID: 28256535
  9. Increased CD44 levels in ovarian cancer patient samples correlate with enhanced expression of the mesenchymal spliced variant CD44s (standard) and a concurrent decrease in the epithelial variants (CD44v). Furthermore, CD44s was upregulated upon TGFbeta1-induced EMT, which was mediated through the downregulation of the splicing factor, ESRP1. Overexpression of CD44s induced EMT, invasion, and chemoresistance. PMID: 29130517
  10. Current evidence suggests that CD44 is a robust prognostic factor in pancreatic cancer. PMID: 29683068
  11. The CD44-NRF2 axis might be a promising therapeutic target for controlling stress resistance and the survival of CD44(high) CSC populations within breast tumors. PMID: 29729523
  12. These results reveal a novel positive feedback loop involving CD44S and YAP1, in which CD44S functions as both an upstream regulator and a downstream effector of YAP1 in hepatocellular carcinoma. PMID: 29649630
  13. CHI3L1 expression is a novel biomarker for the prognosis of gastric cancer, and these findings have identified the CHI3L1/CD44 axis as a vital pathway and potential therapeutic target in gastric cancer. PMID: 30165890
  14. The selective binding of HA-CH-NP/siRNA to CD44-positive tumor endothelial cells. PMID: 29890852
  15. Results showed that the expression of IGF1R appears to be highly correlated with the expression of ABCG2 in osteosarcoma and with the expression of CD44 in osteosarcoma patients under the age of 10. PMID: 29892839
  16. CD44 Polymorphisms are associated with Gastric Cancer. PMID: 29802692
  17. Verification of the presence of stem cell-like cells in the epithelial component through the immunopositivity to Oct-4 and CD44 in benign odontogenic lesions of variable biological behaviors. PMID: 29971493
  18. The genotypes CT, CT+TT, TT, and allele T in rs13347 of CD44 may be risk factors for breast cancer. PMID: 29748526
  19. Peripheral blood lymphocyte subsets in patients with lung cancer are different from those in healthy people, and circulating CD44+ and CD54+ lymphocytes seem to be a promising criterion to predict survival in lung cancer patients undergoing chemotherapy. PMID: 29148014
  20. The minority of cancer stem cells would not be detected by immunohistochemistry using panCD44. PMID: 29682524
  21. CD44 regulated TLR2 responses in human macrophages, whereby a reduction in CD44 levels or engagement of CD44 by its ligand (HA) or a CD44-specific Ab reduced NF-kappaB translocation and downstream proinflammatory cytokine production. PMID: 29196459
  22. Our results suggested that CD44 expression could be used as a marker for the prediction of gastric cancer development, particularly in patients with precancerous gastric lesions carrying AG or GG, who were selected to surveillance follow-up for gastric cancer prevention. PMID: 29445738
  23. CD44 polymorphism rs13347 acts as a risk factor for cancer, especially in Chinese, while the minor allele of polymorphism rs11821102 may be associated with a decreased susceptibility to cancer. PMID: 28000766
  24. Intermediate Molecular Mass Hyaluronan and CD44 interactions on PMNs potently elicit F-actin cytoskeleton polymerization and p38- and ERK1/2-MAPK phosphorylation to enhance PMN function. PMID: 28730511
  25. CD44v9 in tumor specimens has potential as a novel indicator for identifying a cisplatin-chemoresistant population among urothelial cancer patients. CD44v8-10 contributes to reactive oxygen species defenses, which are involved in chemoresistance, by promoting the function of xCT, which adjusts the synthesis of glutathione. PMID: 29385995
  26. CD44 standard isoform was especially upregulated after high-dose X-ray irradiation. PMID: 29106581
  27. Upregulated miR-373 levels and simultaneously downregulated levels of CD44 and E-cadherin were noted in this study. PMID: 29307338
  28. MiRNA-34a suppresses invasion and metastatic in esophageal squamous cell carcinoma by regulating CD44. PMID: 29094237
  29. This study using syngeneic mouse models, which better model the disease in humans than conventional xenografts, suggests that NIR-PIT with anti-CD44-IR700 is a potential candidate for the treatment of Oral cavity squamous cell carcinoma. PMID: 28923838
  30. miR214 represses endogenous CD44 expression by targeting the 3'untranslated region in HeLa, Raji, and Jurkat cells. PMID: 29138813
  31. This analysis indicated that corilagin is mainly involved in the glycolysis pathway. Seahorse XF96 extracellular acidification rate analysis confirmed that corilagin inhibited glycolysis by downregulation of CD44 and STAT3. PMID: 28791374
  32. An important role for HYAL2 in CD44 alternative splicing. PMID: 29162741
  33. CD146 suppresses BC progression as a target of CD44-downstream signaling. PMID: 29121955
  34. Based on our data, the markers CD44 and CD24 do not reflect the features of CSC and unfavorable prognosis and do not clarify the role and clinical significance of the immunophenotype CD44+/CD24-. PMID: 28967636
  35. CD44s levels correlate with EGFR signature and predict poor prognosis in glioblastomas. PMID: 28716909
  36. This study demonstrated that expression of CD44S and CD44 splice variants CD44V3, CD44V6, and CD44V10 was significantly higher in AD patients compared to non-AD controls. PMID: 28550248
  37. Network analysis of overlapping genes revealed the effects on tubulins (Tubb2a, Tubb3, Tubb4b), Nfe2l2, S100a4, Cd44, and Nfkb2, all of which are linked to TBI-relevant outcomes, including epileptogenesis and tissue repair. PMID: 27530814
  38. In obese patients, hepatic CD44 was strongly upregulated in NASH patients (p=0.0008) and correlated with NAFLD activity score (NAS) (p=0.001), ballooning (p=0.003), alanine transaminase (p=0.005) and hepatic CCL2 (p<0.001) and macrophage marker CD68 (p<0.001) expression. Correction of NASH was associated with a strong decrease in liver CD44(+) cells. PMID: 28323124
  39. These findings suggest that CD44v and CD44s cells play differently important roles in the progression and metastasis of GBC, and the isoform switch triggers epithelial-mesenchymal transition. PMID: 28677740
  40. Results suggest a significant role of CD44 variants (rs13347, rs187115, and rs11821102) in modulating individual's cancer susceptibility in Asians (meta-analysis). PMID: 27521214
  41. CD44v9 may be a good biomarker for prognosis prediction and for chemoprevention or biomarker-driven therapies only for Early Gastric Cancer, and it appeared to be associated with lymph node metastasis. PMID: 25779358
  42. Tunicamycin inhibited CD44s overexpression-associated cell migration. PMID: 29377347
  43. Osteopontin and CD44 play important roles in the development and progression of meningioma and can be used as prognostic markers for tumor recurrence and progression, as well as therapeutic targets for the development of new drugs. PMID: 29504367
  44. CD24 and CD44 are upregulated in human pancreatic cancer compared to chronic pancreatitis and may be related to the development of pancreatic cancer. PMID: 28659655
  45. Our study results showed that CD44v6 is an important regulator of GC tumorigenesis, angiogenesis, and survival in an IL-6 mediated, pSTAT3-dependent manner. PMID: 28507278
  46. Expressed by rheumatoid synovial fibroblasts in a MIF allele-dependent fashion and undergoes functional regulation and activation by autocrine/paracrine MIF. PMID: 27872288
  47. Circulating tumor cells expressing cytokeratin and tumor-initiating cell markers, including ALDH, CD133, and CD44, were identified in patients with pancreatic adenocarcinoma. These TIC-like CTCs were associated with poor prognosis after surgical resection and with an increased incidence of tumor recurrence. PMID: 27789528
  48. High CD44 expression is associated with renal cell carcinoma. PMID: 27588469
  49. FAM83D promotes HCC recurrence by promoting CD44 expression and CD44+ CSCs malignancy. PMID: 27769048
  50. Intraperitoneal enrichment of cancer stem-like cells, from ovarian cancer cell lines or primary ovarian tumor, provides a rational approach for cancer stem-like cell isolation and characterization using CD44 and prominin-1(CD133) as selection markers. PMID: 27655682

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Database Links

HGNC: 1681

OMIM: 107269

KEGG: hsa:960

STRING: 9606.ENSP00000398632

UniGene: Hs.502328

Subcellular Location
Cell membrane; Single-pass type I membrane protein. Cell projection, microvillus.
Tissue Specificity
Isoform 10 (epithelial isoform) is expressed by cells of epithelium and highly expressed by carcinomas. Expression is repressed in neuroblastoma cells.

Q&A

What is CD44 and why is it important in research?

CD44 is a cell-surface glycoprotein receptor that plays crucial roles in cell-cell interactions, cell adhesion, and migration. In humans, the canonical protein consists of 742 amino acid residues with a mass of 81.5 kDa and is primarily localized in the cell membrane, though it can also be secreted . Up to 19 different isoforms have been reported, making CD44 a complex target of significant interest. It serves as an important marker for multiple cell types, including intestinal crypt stem cells, CD4+ resident memory T cells, and various mesenchymal stromal cells . Its involvement in sensing and responding to changes in the tissue microenvironment makes it particularly relevant in cancer research, where CD44 is often associated with tumor progression and metastasis.

How do I select between pan-CD44 antibodies and variant-specific antibodies?

The selection depends on your specific research questions:

  • Pan-CD44 antibodies (e.g., C44Mab-5): These antibodies target constant regions present in all CD44 isoforms, typically within exon 2- and 5-encoded sequences . Choose these when you want to detect total CD44 expression regardless of variant.

  • Variant-specific antibodies: These target specific variable regions, such as C44Mab-6 (anti-CD44v3), C44Mab-9 (anti-CD44v6), or C44Mab-1 (anti-CD44v9) . Select these when investigating the role of specific variants in biological processes.

For comprehensive analysis of heterogeneous samples, consider using multiple antibodies targeting different CD44 domains. This approach has proven valuable in characterizing complex tissues such as human tumors, where combinational use of anti-CD44 mAbs provides more detailed insights .

What experimental controls are essential when validating CD44 antibodies?

Proper validation requires:

  • Positive and negative cell controls: Use established CD44-expressing cells (e.g., CHO/CD44s) and corresponding negative controls (e.g., parental CHO-K1 cells) .

  • Concentration-dependent binding assays: Test antibodies across a range of concentrations (typically 0.01-10 μg/ml) to establish dose-response relationships .

  • Isotype controls: Include appropriate isotype-matched control antibodies (e.g., 281-mG2a as control for IgG2a antibodies) .

  • Cross-reactivity testing: If working across species, verify reactivity with the target species (human/mouse CD44 antibodies may have different binding profiles) .

  • Epitope verification: Confirm the antibody recognizes the expected CD44 domain through epitope mapping or competition assays.

How should CD44 antibodies be optimized for flow cytometry?

Optimizing CD44 antibodies for flow cytometry requires:

  • Titration: Determine optimal concentration through serial dilutions; published studies show effective ranges of 0.01-10 μg/ml for primary antibodies .

  • Appropriate secondary antibodies: When using unconjugated primary antibodies, select compatible secondaries (e.g., Alexa Fluor 488-conjugated anti-mouse IgG) .

  • Controls: Include isotype controls (e.g., MAB0061 for rat antibodies) to assess non-specific binding .

  • Staining protocol optimization: Adjust incubation times and temperatures; typically, 30-60 minutes at 4°C works well for surface CD44.

  • Multi-parameter analysis: When identifying specific cell populations, combine CD44 staining with other relevant markers.

Data analysis should include proper gating strategies and comparative assessment against controls to distinguish positive from negative populations.

What are critical considerations for immunohistochemistry using CD44 antibodies?

For successful immunohistochemical detection of CD44:

  • Fixation and antigen retrieval: CD44 epitopes can be sensitive to fixation; optimize antigen retrieval protocols for your specific antibody.

  • Standardized scoring system: Establish clear criteria for CD44 positivity; clinical trials typically use a threshold of ≥1+ for CD44 expression .

  • Tissue quality assessment: Ensure adequate tissue quality and tumor content before interpretation, as exemplified in clinical trials that screened samples centrally .

  • Variant-specific detection: Different CD44 variants may require specific antibodies; studies have demonstrated the utility of variant-specific antibodies such as C44Mab-5 for oral squamous cell carcinoma and C44Mab-46 for esophageal squamous cell carcinoma .

  • Multiple field analysis: Due to heterogeneous expression, analyze multiple fields per sample to accurately represent CD44 distribution.

How can researchers quantitatively assess CD44 antibody specificity in imaging applications?

Quantitative assessment of specificity in imaging applications involves:

  • Blocking studies: Pre-incubate with unlabeled antibody before adding labeled antibody to demonstrate specific binding sites.

  • Tissue-to-blood ratios: Calculate ratios to normalize uptake and distinguish specific from non-specific signal .

  • Dose escalation studies: Perform imaging after administering varying doses of unlabeled antibody (as demonstrated in the RG7356 clinical trial with doses from 1 to 675 mg) .

  • Area Under the Curve (AUC) analysis: Calculate tissue-to-blood AUC ratios to quantify specific uptake over time .

  • Cross-validation: Compare imaging results with ex vivo tissue analysis using complementary techniques like immunohistochemistry.

How can CD44 antibodies be utilized to investigate cancer stem cell properties?

Investigation of cancer stem cells using CD44 antibodies requires:

  • Isolation protocols: Use fluorescence-activated cell sorting (FACS) with CD44 antibodies to isolate CD44+ populations from tumor samples.

  • Functional assays: Subject isolated CD44+ cells to tumorsphere formation assays, limiting dilution assays, and in vivo tumorigenicity tests.

  • Variant analysis: Target specific CD44 variants associated with stemness; research indicates different variants may correlate with stemness in different tumor types.

  • Co-expression analysis: Combine CD44 antibodies with other stem cell markers (e.g., CD133, ALDH) for more precise identification of cancer stem cell populations.

  • Lineage tracing: Use CD44 antibodies in conjunction with genetic lineage tracing to track the fate of CD44+ cells during tumor evolution.

What strategies help resolve contradictory results from different CD44 antibody clones?

When facing contradictory results:

  • Epitope mapping: Determine the exact binding regions of different antibodies; results may differ because antibodies recognize distinct epitopes within the CD44 molecule.

  • Isoform specificity: Verify which CD44 isoforms are recognized by each antibody; C44Mab-5 and C44Mab-46 recognize epitopes within constant exon 2- and 5-encoded sequences, while others target variant exons .

  • Post-translational modifications: CD44 undergoes extensive post-translational modifications including O-glycosylation, N-glycosylation, protein cleavage, sulfation, and phosphorylation , which may affect antibody binding.

  • Antibody class effects: Consider differences between antibody classes; results from IgG1 versus IgG2a antibodies may differ due to Fc-mediated effects .

  • Methodological validation: Validate findings through orthogonal techniques such as PCR for mRNA expression or mass spectrometry for protein detection.

How do CD44 antibodies enable investigation of tumor microenvironment interactions?

To study tumor-microenvironment interactions:

  • Multiplex immunostaining: Combine CD44 antibodies with markers for stromal cells, immune cells, and extracellular matrix components.

  • Functional blocking studies: Use CD44 antibodies to block specific interactions and assess effects on tumor-stroma communication.

  • 3D culture models: Incorporate CD44 antibodies in 3D culture systems to visualize and quantify spatial relationships between tumor and stromal components.

  • In vivo imaging: Use labeled CD44 antibodies for non-invasive imaging of tumor-microenvironment dynamics, similar to approaches with 89Zr-labeled RG7356 .

  • Single-cell analysis: Combine CD44 antibody staining with single-cell sequencing to characterize heterogeneity in CD44+ cells and their interactions with surrounding cells.

What methodologies assess the therapeutic potential of CD44 antibodies?

Therapeutic potential assessment includes:

  • ADCC testing: Use ADCC reporter bioassays with Jurkat cells expressing FcγRIIIa receptor to quantify antibody-dependent cellular cytotoxicity. Established protocols involve co-culturing antibody-treated target cells (e.g., 12,500 CHO/CD44s cells) with effector cells (75,000 cells) at 37°C for 6 hours .

  • CDC evaluation: Measure complement-dependent cytotoxicity using calcein-AM labeled target cells treated with antibodies (typically 100 μg/ml) plus complement. Cytotoxicity is calculated as: % lysis = (E-S)/(M-S) ×100, where E represents experimental fluorescence, S is spontaneous fluorescence, and M is maximum fluorescence .

  • In vivo efficacy: Test anti-tumor activity in xenograft models, comparing tumor growth inhibition between treatment groups and controls.

  • Biodistribution studies: Use imaging techniques such as PET with radiolabeled antibodies (e.g., 89Zr-labeled RG7356) to assess tumor targeting and normal tissue biodistribution .

How should researchers design clinical trials with CD44-targeting antibodies?

Effective clinical trial design includes:

  • Patient selection: Implement proper screening procedures, including central review of tumor biopsies for CD44 expression using standardized immunohistochemistry scoring (e.g., ≥1+ CD44 positivity threshold) .

  • Dosing strategy: Design dose escalation studies based on safety and imaging data; the RG7356 phase I trial evaluated doses from 1 to 675 mg .

  • Imaging sub-studies: Incorporate molecular imaging with labeled antibodies (e.g., 89Zr-RG7356) to assess biodistribution and tumor uptake .

  • Pharmacodynamic endpoints: Include measurements of target engagement in normal and tumor tissues.

  • Combination approaches: Consider combination with other therapeutic modalities based on preclinical evidence of synergy.

What experimental approaches evaluate potential immune-mediated effects of CD44 antibodies?

To assess immune-mediated effects:

  • Antibody engineering: Compare different antibody isotypes (e.g., mouse IgG1 vs. IgG2a) to evaluate Fc-dependent functions. The conversion of C44Mab-5 and C44Mab-46 from IgG1 to IgG2a (5-mG2a and C44Mab-46-mG2a) demonstrates this approach .

  • Immune cell recruitment: Measure infiltration of immune cells into tumors following antibody treatment using flow cytometry or immunohistochemistry.

  • Cytokine profiling: Assess changes in cytokine production after antibody treatment to characterize the immune response.

  • Fc receptor interaction studies: Evaluate binding to different Fc receptors and subsequent signaling using reporter assays like the NFAT-driven luciferase reporter system used in ADCC assays .

  • In vivo immune checkpoint combinations: Test combinations with immune checkpoint inhibitors to assess potential synergistic effects.

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