CD79B forms a covalent heterodimer with CD79A, creating the signaling component of the B-cell receptor (BCR) complex. Key structural features include:
The gene (CD79B) is located on chromosome 17q23.3 in humans and exhibits 54% amino acid identity with mouse CD79B in extracellular regions .
CD79B serves essential roles in:
B-cell receptor signaling: Mediates intracellular signal transduction upon antigen recognition
Surface IgM expression: Maintains BCR complex stability through N-glycan maturation pathways
Immune regulation: Knockout studies show complete loss of surface IgM expression and reduced B-cell fitness
Recent findings reveal unexpected roles in neutrophil biology:
CD79B+ neutrophils demonstrate enhanced phagocytic capacity (2.3× higher than CD79B- neutrophils)
Elevated in early-stage melanoma patients (p<0.01 vs healthy controls)
CD79B dysregulation is implicated in multiple pathologies:
Machine learning analysis identifies CD79B expression as a top discriminative marker (importance score=0.78) for melanoma detection .
Emerging clinical strategies targeting CD79B:
Anti-CD79B CAR constructs show specific cytotoxicity against lymphoma cells (95% tumor reduction in xenograft models)
Optimal configuration: CD8α hinge/OX40 co-stimulatory domains
Anti-CD79B monoclonal antibodies induce B-cell anergy without depletion:
Key unanswered questions:
Mechanism of CD79B expression in non-B cells (e.g., neutrophils)
Functional significance of alternative splicing (Δaa41-144 isoform)
Therapeutic potential in solid tumors via neutrophil-mediated immunity
Ongoing clinical trials include 12 active studies targeting CD79B in hematological malignancies (ClinicalTrials.gov, 2025).
CD79B is a protein that forms part of the B-cell receptor (BCR) complex, where it functions as a signaling component. It exists as a heterodimer with CD79A, and together they associate non-covalently with membrane-bound immunoglobulin. While the immunoglobulin component of the BCR functions to sense extracellular antigens, the CD79 subunits contain cytoplasmic immunoreceptor tyrosine-based activation motifs (ITAMs) that are essential for intracellular signal propagation . This signaling mechanism is critical for B cell development, survival, and antigen-induced activation, making CD79B an integral component of adaptive immunity .
CD79B expression is tightly regulated throughout B cell development as it plays a crucial role in BCR signaling. During early B cell development in the bone marrow, CD79B expression coincides with the formation of the pre-BCR and BCR complexes. The expression continues through mature B cell stages and is maintained in most B cell malignancies . Regulatory mechanisms involve transcription factors critical for B cell lineage commitment, including PAX5. The functional importance of CD79B becomes evident in genetic studies where CD79B mutations or deficiencies result in impaired B cell development and function . Research using mouse models with human CD79 extracellular domains has demonstrated that these domains are functionally interchangeable between species, suggesting evolutionary conservation of key regulatory mechanisms .
Recent research has uncovered a fascinating correlation between CD79B-expressing neutrophils and melanoma. CD79b+ neutrophils, which are normally restricted to the bone marrow during steady state, appear in the peripheral blood of melanoma patients . Interestingly, these cells are significantly elevated in early-stage melanoma compared to healthy controls and patients with advanced disease. Flow cytometry and mass cytometry (CyTOF) analyses have demonstrated that the frequency of CD79b+ neutrophils as a percentage of total neutrophils is higher in melanoma patients than in healthy age-matched controls .
Moreover, when stratified by disease stage, CD79b+ neutrophils show the highest elevation in stage 1 melanoma, with progressively lower levels in stage 2 and stages III/IV. This stage-dependent pattern suggests that CD79b+ neutrophils might be particularly relevant in early disease detection. Machine learning approaches have further validated the importance of CD79b expression on neutrophils, ranking it highly in distinguishing melanoma from healthy subjects in blood samples .
For reliable identification of CD79B+ neutrophils in clinical samples, researchers should employ a comprehensive flow cytometry panel. Based on current research protocols, the following gating strategy is recommended: CD3-CD56-CD19-CD203c-Siglec8-CD86LoCD66b+CD79b+ . This allows for precise identification while excluding other immune cell populations.
For more detailed characterization, researchers may complement flow cytometry with mass cytometry (CyTOF), which enables simultaneous detection of a larger number of markers. When working with clinical samples, especially for biomarker development, it's crucial to process blood samples promptly after collection. While studies have shown that immunophenotyping 24 hours after blood draw remains fairly consistent with fresh samples (even for neutrophils), whenever possible, samples should be processed within hours of collection to ensure optimal results .
For transcriptomic characterization, sorting followed by bulk RNA-sequencing or single-cell RNA-sequencing can provide valuable insights into the molecular profile of CD79b+ neutrophils. When using single-cell approaches, researchers should look for co-expression of neutrophil markers (such as S100A8/9 and CSF3R) with CD79A/B to confidently identify this population .
CD79B expression on neutrophils shows significant potential as a blood-based biomarker for early melanoma detection. Unlike many cancers, melanoma currently lacks a simple blood test for early detection, with current efforts focused on microRNAs, cell-free DNA, tumor-associated antibodies, and circulating tumor cells . The discovery that CD79b+ neutrophils are specifically elevated in early-stage melanoma provides a promising new avenue for biomarker development.
For clinical application, researchers should consider several methodological approaches:
Flow cytometry-based detection of CD79b+ neutrophils in whole blood samples, using the gating strategy CD3-CD56-CD19-CD203c-Siglec8-CD86LoCD66b+CD79b+
Machine learning algorithms to assess the predictive value of CD79b expression among neutrophils, either alone or in combination with other markers such as CD117 and HLA-DR, which have shown relevant expression patterns in other cancer types
Development of simplified assays suitable for clinical implementation, focusing on robust identification of the CD79b+ neutrophil population
The high turnover rate of neutrophils and their abundance in blood positions them as responsive indicators of disease status. Further validation in larger cohorts with outcome data will be necessary to fully establish CD79b+ neutrophils as a clinically useful biomarker for early melanoma detection .
Developing effective anti-CD79B CAR T-cell therapies requires a systematic experimental approach. Based on recent research, the following experimental design recommendations can help optimize these therapies:
Antibody Development and Characterization:
CAR Design Optimization:
Create a panel of CD79b-targeting CAR molecules with varying domains:
Test different hinge regions (e.g., CD8α)
Evaluate various transmembrane domains (e.g., CD8α)
Compare co-stimulatory domains (e.g., OX40, 4-1BB, CD28)
Include CD3ζ signaling domain
Based on recent findings, a CAR consisting of CD8α hinge and transmembrane domains, an OX40 co-stimulatory domain, and a CD3ζ signaling domain demonstrated superior antitumor efficacy
In Vitro Validation:
Test CAR T-cell proliferation, cytokine production, and degranulation against CD79b-expressing cell lines
Evaluate cytotoxic activity against both CD19+ and CD19- lymphoma cell lines
Include patient-derived lymphoma tumors that have relapsed after CD19 CAR T-cell therapy
In Vivo Model Systems:
These methodological approaches can help develop CD79B-targeted CAR T-cells with potential utility against B-cell malignancies, particularly in cases where CD19-targeted therapies fail due to antigen loss or downregulation.
CD79B+ neutrophils exhibit several distinct functional characteristics compared to conventional CD79B- neutrophils, suggesting they represent a specialized neutrophil subset with unique properties:
Morphological and Physical Characteristics:
CD79b+ neutrophils maintain polymorphonuclear morphology and large cytoplasm similar to classical neutrophils
Some CD79b+ neutrophils show nuclear morphology reminiscent of earlier developmental stages
They display high side-scatter profiles in flow cytometry, indicating granularity similar to other neutrophils
Transcriptional Profile:
RNA-sequencing reveals CD79b+ neutrophils are transcriptionally closer to CD79b- neutrophils than to B cells
They maintain expression of conventional neutrophil markers (S100A8/9, CSF3R) and immaturity markers (MMP8/9)
Uniquely, they express certain B cell-associated genes including PAX5, FYN, TCF4, and VAV2, suggesting a hybrid transcriptional program
They lack expression of typical B cell genes such as CD19 and MS4A1 (encoding CD20)
Functional Capabilities:
Enhanced phagocytic activity: CD79b+ neutrophils demonstrate superior uptake of both Zymosan particles and tumor cells compared to CD79b- neutrophils from the same patient samples
Expression of antigen presentation machinery: Transcriptional data suggests these cells may function as antigen presenters
Spontaneous NETosis: CD79b+ neutrophils show a propensity for NETosis even in unstimulated conditions
These functional differences position CD79b+ neutrophils as a potentially important subset in cancer immunity, with characteristics that bridge neutrophil and B cell functional programs. Their enhanced phagocytic capacity and potential antigen presentation abilities suggest they may play specialized roles in the immune response to melanoma and potentially other diseases .
Humanized CD79 Knockin Mice:
Genetically engineered mice where the extracellular Ig-like domains of mouse CD79A and CD79B are replaced with human equivalents
These chimeric CD79 proteins maintain functional interactions with the rest of the mouse BCR complex
Studies demonstrate that human and mouse CD79 extracellular domains are functionally interchangeable
These models allow for preclinical testing of anti-human CD79 therapies that wouldn't normally cross-react with mouse CD79
Xenograft Models for CD79B CAR T-cell Studies:
Immunodeficient mouse strains (e.g., NSG mice) engrafted with human CD79B-expressing lymphoma cell lines
Patient-derived xenograft models using tumor samples from lymphoma patients
These models are particularly valuable for testing the efficacy of CD79B-targeted immunotherapies such as CAR T-cells against established tumors
Autoimmunity Models with Human CD79B Expression:
Chimeric CD79 knockin mice crossed with autoimmune-prone strains
These models have been used to demonstrate that anti-human CD79 treatment can prevent disease development in mouse models of autoimmunity
They provide insights into how targeting CD79B might be therapeutically beneficial in both cancer and autoimmune contexts
When using these models, researchers should be aware of their limitations. While humanized CD79 knockin mice express the human extracellular domains of CD79, the signaling components remain murine. Additionally, xenograft models lack a complete human immune system, limiting studies of complex immune interactions. Despite these limitations, these animal models provide valuable platforms for studying human CD79B biology and developing targeted therapies in vivo.
Selecting appropriate antibodies and reagents for CD79B detection is critical for generating reliable research data. Based on current research practices, the following recommendations can guide reagent selection for different applications:
For flow cytometry and mass cytometry (CyTOF):
When detecting CD79b+ neutrophils, a comprehensive panel should include CD3, CD56, CD19, CD203c, Siglec8, CD86, CD66b, and CD79b antibodies
Validation of CD79b antibody specificity is essential, ideally using cell lines with CD79b knock-in or knock-out as positive and negative controls
For multiparameter analyses, metal-conjugated antibodies optimized for mass cytometry should be considered, as they have been successfully used to identify CD79b+ neutrophils in melanoma patient samples
For immunohistochemistry and immunofluorescence:
Antibodies targeting the extracellular domain of CD79B are preferred, as they can detect the protein in its native conformation
Validation using appropriate positive controls (B cell-rich tissues such as lymph nodes or tonsils) and negative controls (CD79B-negative tissues) is essential
For Western blotting and immunoprecipitation:
Antibodies recognizing denatured CD79B epitopes should be selected
For co-immunoprecipitation studies investigating CD79B interactions with CD79A or other BCR components, antibodies that don't disrupt these protein-protein interactions are required
When generating novel anti-CD79B monoclonal antibodies, researchers should verify specificity through rigorous testing against isogenic cell lines with human CD79B knock-in or knock-out, as demonstrated in recent CAR T-cell studies . This approach ensures that the antibodies specifically recognize human CD79B and no other cell surface proteins.
Isolating and characterizing CD79B+ cell populations requires careful methodological approaches, particularly for rare subsets like CD79B+ neutrophils. The following strategies are recommended based on current research practices:
Isolation Protocols:
For B cells: Standard B cell isolation kits followed by CD79B-based positive selection or fluorescence-activated cell sorting (FACS)
For CD79B+ neutrophils: Initial enrichment of neutrophils using density gradient separation, followed by FACS using the gating strategy CD3-CD56-CD19-CD203c-Siglec8-CD86LoCD66b+CD79b+
When isolating from clinical samples, processing within hours of collection is optimal, though studies indicate immunophenotyping remains relatively consistent even 24 hours after blood draw
Multi-omics Characterization:
Transcriptomic profiling: Bulk RNA-sequencing of sorted populations has been successfully used to compare CD79B+ neutrophils with CD79B- neutrophils and B cells
Single-cell RNA-sequencing: Useful for heterogeneity analysis, identifying CD79B+ cells through co-expression of CD79A/B with lineage-specific markers
Proteomic analysis: Mass spectrometry-based approaches can provide comprehensive protein expression profiles
Epigenetic profiling: ATAC-seq or ChIP-seq can reveal regulatory mechanisms controlling CD79B expression
Functional Assays:
For B cells: BCR signaling assays (calcium flux, phosphoflow for downstream signaling molecules)
For CD79B+ neutrophils:
Morphological Assessment:
These methodological approaches enable comprehensive characterization of CD79B+ cell populations, revealing their unique biological properties and potential roles in health and disease.
Investigating CD79B signaling pathways presents several technical challenges that researchers should address through careful experimental design:
Temporal Dynamics and Signaling Sensitivity:
BCR signaling occurs rapidly following receptor engagement
Implement rapid cell fixation techniques (e.g., direct addition of paraformaldehyde) to capture transient phosphorylation events
Consider phosphoflow cytometry for single-cell resolution of signaling events at multiple time points
When studying anti-human CD79 effects, be aware that antibody binding can induce various outcomes, from signaling activation to uncoupling of BCR-induced tyrosine phosphorylation and calcium mobilization
Heterogeneity of Signaling Responses:
Different B cell subsets may exhibit distinct CD79B signaling patterns
Single-cell approaches (mass cytometry, single-cell RNA-seq) can resolve population heterogeneity
When studying CD79B+ neutrophils, their rarity requires efficient enrichment strategies before signaling analysis
Contextual Signaling Influences:
CD79B signaling may differ between normal and malignant cells
Microenvironmental factors can significantly affect signaling outcomes
Use primary cells whenever possible, and consider 3D culture systems or explant models to better approximate in vivo conditions
Protein Complex Assembly Dynamics:
CD79B functions as part of a heterodimer with CD79A and associates with membrane-bound immunoglobulin
Techniques like proximity ligation assay, FRET, or Blue Native PAGE can help study these complex assemblies
When using anti-CD79B antibodies, be aware they may alter complex formation or stability
Reagent-Induced Artifacts:
Anti-CD79 antibodies used experimentally may induce signaling changes themselves
Include proper controls, such as F(ab')2 fragments or isotype controls
Studies with anti-human CD79 lacking Fc region effector function have shown that such antibodies can induce specific phenotypic changes without causing significant B cell depletion
Translation Between Model Systems:
Addressing these technical challenges through rigorous experimental design and appropriate controls will enable more accurate characterization of CD79B signaling pathways in different cellular contexts.
CD79B represents a promising target for autoimmune disease therapies, with several strategic approaches for development:
Mechanism-Based Therapeutic Approaches:
Anti-CD79B antibodies lacking Fc effector function have shown promising results in autoimmunity models
These antibodies induce an anergy-like state in B cells characterized by:
This approach offers functional modulation rather than complete B cell depletion, potentially reducing infection risks associated with conventional B cell-depleting therapies
Target Cell Population Considerations:
Unlike CD20-targeting therapies that spare plasma cells, anti-CD79B approaches may inhibit antibody secretion by terminally differentiated plasmablasts and plasma cells
This suggests potential efficacy in antibody-mediated autoimmune diseases where pathogenic autoantibodies drive pathology
Therapeutic strategies might be tailored for specific autoimmune conditions based on the relative contribution of different B cell populations
Preclinical Testing Methodology:
Humanized CD79 knockin mice provide valuable models for preclinical testing
Evidence shows that anti-human CD79 treatment prevents disease development in two mouse models of autoimmunity
Researchers should assess multiple parameters:
B cell functional status rather than mere depletion
Autoantibody production
Tissue inflammation and damage
Long-term safety and immunocompetence
Combination Therapy Approaches:
Consider CD79B-targeted therapies alongside other immunomodulatory approaches
Potential synergies with T cell-directed therapies or cytokine modulators
Sequential treatment protocols may optimize efficacy while minimizing immune suppression
The development of CD79B-targeted therapies for autoimmunity represents a shift from depletion-based approaches toward functional modulation of B cells, potentially offering improved safety profiles while maintaining therapeutic efficacy in antibody-mediated autoimmune diseases.
The interaction between CD79B+ neutrophils and other immune cells in the tumor microenvironment represents an emerging research area with significant implications for cancer immunology:
Potential Antigen Presentation to T Cells:
CD79B+ neutrophils express antigen presentation machinery and demonstrate enhanced phagocytic capability compared to conventional neutrophils
This suggests they may function as antigen-presenting cells, similar to neutrophil populations described in early-stage lung cancer and non-metastatic head and neck cancer
Their potential to stimulate T cells, particularly memory CD4+ T cells, warrants investigation in the context of melanoma and other cancers
Distribution and Migration Patterns:
CD79B+ neutrophils are restricted to bone marrow during steady-state but appear in peripheral blood during cancer
Research should examine whether these cells infiltrate tumor tissues and lymph nodes
Single-cell RNA-seq data has identified CD79b+ neutrophils among tumoral neutrophils in head and neck cancer, suggesting they may indeed localize to tumor sites
Relationship with B Cells:
Given their expression of B cell-associated markers (PAX5, FYN, TCF4, VAV2), CD79B+ neutrophils may share functional properties with B cells
Their potential interactions with B cells in tumor-draining lymph nodes or tertiary lymphoid structures within tumors warrant investigation
The shared expression program might indicate common regulatory mechanisms or functional convergence
Stage-Specific Roles in Cancer Progression:
Methodological Approaches for Further Study:
Multiplex immunohistochemistry or imaging mass cytometry to visualize CD79B+ neutrophils in spatial context with other immune cells
In vitro co-culture systems to assess functional interactions with T cells, B cells, and tumor cells
Single-cell multi-omics to characterize CD79B+ neutrophils and their potential developmental relationship with other myeloid populations
Understanding these intercellular relationships will provide deeper insights into the role of CD79B+ neutrophils in cancer immunity and potentially inform new immunotherapeutic strategies.
CD79B involvement in resistance to targeted therapies in B-cell malignancies is a critical area of investigation with important clinical implications:
Antigen Escape in CD19-Targeted Therapies:
CD19 loss or downregulation is a frequent cause of resistance to CD19 CAR T-cell therapy
CD79B, as a pan B-cell antigen widely expressed in most B-cell lymphomas, maintains expression in CD19-negative relapsed/refractory cases
CD79B CAR T-cells have demonstrated robust cytotoxic activity against CD19+ and CD19- lymphoma cell lines and patient-derived lymphoma tumors relapsing after prior CD19 CAR T-cell therapy
Signaling Pathway Alterations:
CD79B contains cytoplasmic ITAMs critical for BCR signaling
Mutations in CD79B can lead to chronic active BCR signaling, particularly in certain lymphoma subtypes
These alterations may contribute to resistance to therapies targeting BCR pathway components (e.g., BTK inhibitors)
Research should examine how CD79B mutations or expression changes affect response to targeted therapies
Combinatorial Targeting Strategies:
Dual targeting of CD19 and CD79B may prevent antigen escape
Sequential administration of different CAR T-cell products could address resistance
Bispecific CAR designs recognizing both antigens simultaneously represent another promising approach
Methodological Approaches for Studying Resistance:
Longitudinal sampling before therapy and at relapse to track CD79B expression changes
Single-cell approaches to identify pre-existing resistant subpopulations
Patient-derived xenograft models from treatment-resistant cases to test CD79B-directed therapies
CRISPR-based screens to identify mechanisms of CD79B regulation that might contribute to resistance
Translational Considerations:
CD79B-directed therapies could be positioned as salvage options after CD19-directed therapy failure
Biomarkers for predicting response to CD79B-targeted approaches need development
Early integration of CD79B-targeted therapies might prevent emergence of resistant clones
Understanding CD79B's role in resistance mechanisms will help optimize sequencing and combination strategies for targeted therapies in B-cell malignancies, potentially improving outcomes for patients with relapsed or refractory disease.
Despite significant advances in our understanding of CD79B biology, several critical questions remain unresolved, presenting important opportunities for future research:
The developmental origin and lineage relationship of CD79B+ neutrophils remain unclear. Do these cells represent a distinct developmental pathway, or do they arise from conventional neutrophils that upregulate CD79B in response to specific stimuli? Single-cell trajectory analyses and fate-mapping studies in appropriate model systems could help address this question .
The functional significance of B cell-associated gene expression in CD79B+ neutrophils requires further investigation. How does the expression of genes like PAX5 and other B cell-associated factors affect neutrophil function? Does this represent functional convergence between lineages or a novel regulatory mechanism ?
The precise role of CD79B+ neutrophils in melanoma pathogenesis remains to be determined. Are these cells promoting anti-tumor immunity, or do they potentially contribute to immune suppression in the tumor microenvironment? Their elevated presence in early-stage disease is intriguing but doesn't definitively establish their functional role .
The mechanisms controlling CD79B expression in different cell types are not fully understood. What epigenetic and transcriptional regulatory mechanisms govern CD79B expression in B cells versus neutrophils? How are these mechanisms altered in disease states?
The clinical utility of CD79B as a diagnostic or prognostic biomarker requires validation in larger cohorts with outcome data. Can CD79B+ neutrophils in blood reliably identify early melanoma, and do their levels correlate with prognosis or treatment response ?
The optimal design of CD79B-targeted therapeutics remains an active area of investigation. What antibody formats, conjugates, or cellular therapies will provide the best efficacy and safety profiles for different disease indications ?
Addressing these questions through rigorous scientific investigation will advance our understanding of CD79B biology and accelerate the development of CD79B-based diagnostics and therapeutics.
Emerging and future technologies promise to significantly advance our understanding of CD79B biology across multiple dimensions:
Spatial Multi-omics Technologies:
Spatial transcriptomics and proteomics will enable visualization of CD79B+ cells within their tissue context
These approaches can reveal microanatomical relationships between CD79B+ neutrophils and other immune cells in tumor microenvironments
Integration of spatial and single-cell data will provide unprecedented insights into cell-cell interactions and tissue organization
Advanced Protein Engineering:
Protein structure prediction algorithms (like AlphaFold) may reveal detailed structural insights into CD79B interactions with CD79A and the BCR complex
Engineered CD79B variants could serve as research tools to dissect signaling mechanisms
Novel antibody formats targeting specific CD79B epitopes may enable more precise modulation of CD79B function
Advanced In Vivo Imaging:
Intravital microscopy with fluorescently tagged antibodies against CD79B could track CD79B+ cell dynamics in real-time
PET imaging with radiolabeled anti-CD79B antibodies might non-invasively monitor CD79B+ cells in patients
These approaches could reveal migration patterns of CD79B+ neutrophils between bone marrow, blood, and tumor sites
Genome Engineering and Synthetic Biology:
CRISPR-based approaches for precise genetic manipulation of CD79B will enable detailed functional studies
Inducible systems for controlling CD79B expression in specific cell populations
Synthetic circuits incorporating CD79B signaling components could provide insights into signal transduction mechanisms
Artificial Intelligence and Machine Learning:
Integration of multi-modal data (genomic, transcriptomic, proteomic, clinical) to identify patterns associated with CD79B expression
Predictive models for patient response to CD79B-targeted therapies
Automated image analysis for quantifying CD79B+ cells in tissue samples
Organoid and Microphysiological Systems:
Advanced 3D culture systems incorporating CD79B+ cells with other immune and tissue components
These systems could model interactions between CD79B+ cells and their microenvironment
Patient-derived organoids could be used to test CD79B-targeted therapies in personalized medicine approaches
CD79B, also known as B29, Ig beta, or B cell antigen receptor complex-associated protein beta-chain, is a crucial component of the B cell receptor (BCR) complex. It is a member of the immunoglobulin superfamily and plays a significant role in the development and function of B cells. CD79B forms a heterodimer with CD79A (Ig alpha), and this complex is essential for the signal transduction of the BCR, which is vital for B cell activation and antibody production .
CD79B is a transmembrane protein with a molecular weight of approximately 36-40 kDa. It consists of an extracellular immunoglobulin-like domain, a single transmembrane region, and a cytoplasmic tail containing immunoreceptor tyrosine-based activation motifs (ITAMs). These ITAMs are critical for initiating intracellular signaling cascades upon antigen binding to the BCR .
The CD79A/CD79B heterodimer associates non-covalently with membrane-bound immunoglobulins (IgM, IgD, IgG, IgA, or IgE) to form the BCR complex. This complex is responsible for recognizing specific antigens and triggering B cell activation, proliferation, and differentiation .
Recombinant CD79B is produced using various expression systems, such as Chinese Hamster Ovary (CHO) cells or HEK293 cells. The recombinant protein is typically purified to high levels of purity, often exceeding 95%, and is used in various research applications, including structural studies, functional assays, and therapeutic development .
CD79B is widely studied in the context of B cell malignancies, such as B cell lymphomas and leukemias. It is a target for chimeric antigen receptor (CAR) T cell therapies, which are engineered to recognize and kill cancerous B cells expressing CD79B . Additionally, CD79B is used in the development of monoclonal antibodies and other therapeutic agents aimed at modulating B cell function in autoimmune diseases and other conditions .