CTLA4 produced in Sf9 Baculovirus cells is a single, glycosylated polypeptide chain containing 135 amino acids (36-161a.a.) and having a molecular mass of 14.6kDa (Molecular size on SDS-PAGE will appear at approximately 18-28kDa).
CTLA4 is expressed with a 6 amino acid His tag at C-Terminus and purified by proprietary chromatographic techniques.
CTLA4 engages with CD80/CD86 ligands on antigen-presenting cells, triggering signaling cascades that suppress immune responses. When CTLA4 binds to CD86, it initiates recruitment and activation of Tyk2, a JAK family member, resulting in STAT3 activation. This activation leads to expression of genes critical for cancer immunosuppression and tumor growth and survival . This mechanism explains why CTLA4-blocking antibodies have emerged as important cancer immunotherapy agents capable of unleashing antitumor immune responses .
CTLA4 exists in two major forms: membrane-bound CTLA4 (mCTLA-4) and soluble CTLA4 (sCTLA-4), each with distinct expression patterns and functions:
Membrane-bound CTLA4 (mCTLA-4):
Soluble CTLA4 (sCTLA-4):
Shows distinct production kinetics compared to mCTLA-4, with downregulation upon initial TCR stimulation followed by increased expression later
Functions primarily by blocking CD80/CD86 co-stimulatory signals from antigen-presenting cells
Inhibits functional polarization of activated T cells toward Th1 phenotype while allowing Th2 skewing
Promotes M2-like macrophage polarization during chronic inflammation
Both forms express the exon2-encoded evolutionary conserved MYPPPY motif required for binding to CD80/CD86 ligands . Research indicates that sCTLA-4 can be exploited to treat autoimmunity and cancer, and potentially support tissue repair .
T cell CTLA4 signaling:
Primarily functions to inhibit T cell activation by competing with CD28 for CD80/CD86 binding
Down-modulates immune responses by reducing co-stimulatory signals
Affects primarily immune response regulation
B cell CTLA4 signaling:
Activates a distinct Tyk2-STAT3 dependent pathway upon CD86 ligation
Results in recruitment and activation of Tyk2, leading to STAT3 tyrosine phosphorylation
Induces DNA-binding activity of STAT3, promoting transcription of target genes
Upregulates immunosuppressive genes (IL-10, IL-6) while inhibiting IFNγ expression
Increases expression of cancer-promoting genes such as Bcl-XL and MMP9
Supports B cell lymphoma proliferation and survival mechanisms
This newly discovered CTLA4-Tyk2-STAT3 signaling pathway in B cells provides insight into why CTLA4 blockade may be effective in B cell malignancies even in the absence of T cells .
When expressing human CTLA4 in Sf9 insect cells, researchers should consider several critical factors:
Vector design considerations:
Include the complete coding sequence for either full-length CTLA4 (for membrane-bound form) or the extracellular domain (for soluble form)
Incorporate appropriate secretion signals for soluble CTLA4 expression
Include purification tags (His-tag or Fc-fusion) that don't interfere with the critical MYPPPY binding motif
Consider codon optimization for insect cell expression
Expression optimization:
Monitor expression levels using Western blot analysis with anti-CTLA4 antibodies
Optimize infection/transfection conditions (MOI, time of harvest)
Test different cell densities and growth media formulations
Consider expression as a fusion protein to enhance stability
Post-translational modifications:
Be aware that glycosylation patterns in insect cells differ from mammalian cells
Consider that altered glycosylation may affect CTLA4 binding to CD80/CD86
For studies requiring mammalian glycosylation, consider using modified Sf9 cell lines engineered to produce human-like glycosylation patterns
Functional validation:
Test binding affinity to CD80/CD86 using binding assays
Verify functional activity in appropriate cell-based assays
Compare with mammalian-expressed CTLA4 to identify any functional differences
When designing experiments, researchers should be aware that while Sf9 cells provide high yield and scalability for CTLA4 expression, the resulting protein may have structural differences compared to the native human protein due to differences in post-translational modifications.
Purification and validation of recombinant human CTLA4 from Sf9 cells requires a systematic approach:
Purification strategies:
Affinity chromatography:
For His-tagged CTLA4: Ni-NTA or IMAC purification
For Fc-fusion CTLA4: Protein A/G chromatography
For GST-tagged CTLA4: Glutathione Sepharose purification
Secondary purification:
Size exclusion chromatography to separate monomeric from aggregated forms
Ion exchange chromatography for further purification
Hydrophobic interaction chromatography if needed
Validation methods:
Purity assessment:
SDS-PAGE with Coomassie staining
Western blot using anti-CTLA4 antibodies
Mass spectrometry for identity confirmation
Structural validation:
Circular dichroism to assess secondary structure
Thermal shift assays to evaluate stability
Size exclusion chromatography with multi-angle light scattering (SEC-MALS) to determine oligomeric state
Functional validation:
ELISA-based binding assays to CD80/CD86
Surface plasmon resonance (SPR) for binding kinetics
Cell-based assays to confirm immunomodulatory activity
Activity comparison:
Side-by-side comparison with mammalian-expressed CTLA4
Evaluation of glycosylation using lectin blots or mass spectrometry
Assessment of biological activity in T cell proliferation assays
Thorough validation ensures that Sf9-expressed CTLA4 maintains the structural integrity and functional properties required for subsequent research applications.
Several optimization strategies can significantly improve CTLA4 expression in Sf9 systems:
Genetic construct optimization:
Codon optimization for insect cell preference
Testing different promoters (polyhedrin vs. p10)
Incorporation of kozak consensus sequence
Evaluation of different signal peptides for secretion efficiency
Testing various affinity tags and their positions (N-terminal vs. C-terminal)
Expression conditions optimization:
Cell density at infection (1-2 × 10^6 cells/mL is typically optimal)
Multiplicity of infection (MOI) screening (typically 1-10)
Temperature adjustment (27-28°C standard, but lower temperatures can improve folding)
Harvest time optimization (typically 48-72 hours post-infection)
Supplementation with protease inhibitors to prevent degradation
Media and culture optimization:
Testing serum-free vs. serum-supplemented media
Addition of pluronic F-68 to reduce shear stress
Supplementation with yeastolate or protein hydrolysates
Addition of glycosylation enhancers if needed
Co-expression strategies:
Co-expressing chaperones to aid folding
Co-expressing glycosylation enzymes for human-type glycosylation
Evaluating dual expression vectors vs. co-infection approaches
Scale-up considerations:
Optimizing oxygen transfer in larger culture volumes
Maintaining consistent cell density during scale-up
Implementing fed-batch strategies for extended culture periods
Researchers have found that expression of soluble CTLA4 extracellular domain often yields better results than full-length protein in insect cell systems, likely due to the absence of transmembrane complications. Additionally, lowering the expression temperature to 22-24°C during protein production phase can significantly improve proper folding and reduce aggregation.
The recently discovered CTLA4-Tyk2-STAT3 signaling pathway provides new opportunities for experimental investigation. Researchers can incorporate this pathway analysis using these approaches:
Pathway activation analysis:
Assessment of CTLA4 tyrosine phosphorylation by immunoprecipitation and western blotting
Evaluation of STAT3 recruitment by CTLA4 using co-immunoprecipitation
Measurement of Tyk2 tyrosine phosphorylation and recruitment to the CTLA4 complex
Analysis of STAT3 tyrosine phosphorylation and DNA-binding activity
Gene expression analysis:
RT-PCR or RNA-seq to assess STAT3 downstream gene expression changes:
Functional consequence assessment:
Proliferation assays to evaluate CTLA4 activation effects on B cell lymphoma growth
Apoptosis assays following CTLA4 silencing or antibody blockade
Analysis of tumor-associated B cell phenotypes, particularly focusing on CD5+CD19+ populations
Pathway inhibition strategies:
CTLA4 antibody blockade to assess pathway disruption
Tyk2 or STAT3 inhibitors to block downstream signaling
Combination approaches to assess synergistic effects
In vivo models:
B cell lymphoma xenograft models with CTLA4 knockdown or blockade
Assessment of tumor growth, survival, and immune infiltration
Analysis of Tyk2/STAT3 activity in tumor samples
Evaluation of tumor cell proliferation and apoptosis markers
This experimental framework allows researchers to comprehensively analyze the CTLA4-Tyk2-STAT3 signaling pathway in both malignant B cells and tumor-associated B cells, potentially identifying new therapeutic targets and approaches.
Distinguishing between membrane-bound CTLA4 (mCTLA-4) and soluble CTLA4 (sCTLA-4) requires specialized methodological approaches:
RNA-level analysis:
RT-PCR with isoform-specific primers that can differentiate between splice variants
RNA-seq analysis with appropriate bioinformatic pipelines to identify alternative splicing events
Quantitative PCR to assess relative expression levels of each isoform
Analysis of expression kinetics following stimulation to identify differential regulation patterns
Protein-level detection:
Western blot analysis using antibodies that recognize epitopes present in both forms
ELISA assays specifically designed to detect sCTLA-4 in supernatants or serum
Flow cytometry to detect surface mCTLA-4 versus intracellular CTLA4
Immunoprecipitation techniques to pull down specific forms
Functional discrimination:
Binding assays with CD80/CD86 using purified proteins
Cell-based assays that can distinguish secreted versus membrane effects
Blocking experiments with form-specific antibodies if available
Genetic approaches with isoform-specific expression or knockdown
Temporal analysis:
Monitoring expression kinetics after TCR stimulation, which differ between forms:
Time-course studies in various T cell populations (Tregs vs. Tconvs)
Cell type-specific analysis:
Comparison between different T cell subsets (CD4+ effector Tregs show highest sCTLA-4 expression)
Analysis in tissue resident versus circulating T cells
Understanding the differential expression and function of these two CTLA4 forms is critical for developing targeted therapeutic approaches and interpreting experimental results accurately.
Designing experiments to investigate CTLA4's role in B cell lymphomas requires comprehensive approaches:
Expression analysis in clinical samples:
Immunohistochemistry of human lymphoma tissues to assess CTLA4 expression in:
Flow cytometry of fresh lymphoma samples to quantify CTLA4 expression levels
Correlation of expression with clinical parameters and subtypes (DLBCL vs. follicular lymphoma)
RNA-seq analysis to assess transcriptional differences associated with CTLA4 expression
Functional studies in lymphoma cell lines:
Generation of CTLA4 knockdown lymphoma cell lines using:
Overexpression studies using retroviral or lentiviral vectors
Assessment of:
Proliferation rates (BrdU incorporation, Ki-67 staining)
Apoptosis resistance (Annexin V/PI staining)
Colony formation capacity
Migration and invasion potential
Signaling pathway analysis:
CTLA4 stimulation with soluble CD86 followed by assessment of:
Gene expression analysis of downstream targets:
In vivo models:
Xenograft models using CTLA4-knockdown lymphoma cells in immunodeficient mice
Syngeneic lymphoma models in immunocompetent mice
Treatment with CTLA4 blocking antibodies with analysis of:
Combination approaches:
CTLA4 blockade combined with STAT3 inhibitors
CTLA4 blockade with other immunotherapy approaches
Assessment of synergistic potential of targeted approaches
These experimental designs allow comprehensive investigation of CTLA4's cell-intrinsic role in B cell lymphoma biology, potentially identifying new therapeutic targets and treatment strategies.
CTLA4 expression varies significantly across immune cell populations with important research implications:
Expression patterns across T cell subsets:
T Cell Population | mCTLA-4 Expression | sCTLA-4 Expression | Expression Changes Upon Activation |
---|---|---|---|
CD4+ CD25+ Tregs (Thymic) | High | Highest | mCTLA-4 ↑, sCTLA-4 initial ↓ then ↑ |
CD44hi CD62Llo CD25hi CD4+ Effector Tregs | High | Very high | Similar to thymic Tregs |
CD44lo CD62Lhi Naïve CD4+ Tconvs | Negligible | Negligible | mCTLA-4 ↑, sCTLA-4 minimal change |
Activated CD4+ Tconvs | Moderate | Low | mCTLA-4 steady ↑, sCTLA-4 slight ↑ |
Tissue-resident Tregs | High | Higher than lymphoid Tregs | Context-dependent |
Expression in B cells and malignancies:
B Cell Population | CTLA4 Expression | Functional Significance |
---|---|---|
Normal B cells | Low/undetectable | Limited |
B cell lymphoma (DLBCL) | Significantly elevated (81%) | Promotes survival and proliferation |
Follicular lymphoma | Elevated (36%) | Promotes survival and proliferation |
Tumor-associated B cells | Detectable | Contributes to immunosuppression |
Multiple myeloma cell lines | Detectable | Potentially promotes tumor growth |
Research implications:
Cell source selection: Researchers must carefully select appropriate cell populations for CTLA4 studies based on these expression patterns.
Activation status consideration: Experimental design must account for activation-dependent changes in expression, particularly the differential regulation of mCTLA-4 and sCTLA-4.
Tissue context matters: Tissue-resident Tregs show higher sCTLA-4 expression than lymphoid Tregs, suggesting important tissue-specific functions .
Timing is critical: The biphasic regulation of sCTLA-4 in Tregs (initial downregulation followed by upregulation) contrasts with the steady increase in mCTLA-4, requiring time-course studies for accurate assessment .
Malignancy considerations: B cell malignancies show aberrant CTLA4 expression compared to normal B cells, providing potential therapeutic opportunities .
These expression patterns highlight the complexity of CTLA4 biology and the importance of precise experimental design when studying its functions in different contexts.
Comparing CTLA4 expression between insect and mammalian cell systems reveals important differences that researchers must consider:
Structural and post-translational differences:
Feature | Insect Cells (Sf9) | Mammalian Cells (e.g., CHO, HEK293) |
---|---|---|
Glycosylation | Simple, high-mannose type | Complex, sialylated N-glycans |
Glycosylation sites | May be incompletely utilized | More complete site utilization |
Disulfide bond formation | Generally efficient but may differ | Native pattern formation |
Phosphorylation | Limited tyrosine phosphorylation capability | Native phosphorylation patterns |
Oligomerization | May show differences from native form | More representative of native state |
Expression characteristics:
Parameter | Insect Cells (Sf9) | Mammalian Cells |
---|---|---|
Expression level | Often higher yield | Generally lower yield |
Speed of production | Faster (3-5 days post-infection) | Slower (weeks for stable lines) |
Scale-up potential | Excellent for suspension culture | More challenging |
Expression temperature | 27-28°C optimal | 37°C optimal |
Media requirements | Simpler, less expensive | More complex, costlier |
Functional considerations:
Aspect | Insect Cells (Sf9) | Mammalian Cells |
---|---|---|
CD80/CD86 binding | May show altered affinity due to glycosylation | Native binding properties |
Immunogenicity | Potentially higher due to altered glycans | Lower, more native-like |
Signaling capacity | Limited ability to assess functional signaling | Enables complete signaling studies |
Stability | Often good but may differ from native | Generally represents native stability |
Research application alignment:
Structural studies: Sf9-expressed CTLA4 may be suitable for crystallography and basic binding studies but with awareness of glycosylation differences.
Binding assays: For precise CD80/CD86 binding kinetics, comparative studies with mammalian-expressed CTLA4 are recommended to account for glycosylation effects.
Functional studies: For investigations of CTLA4-Tyk2-STAT3 signaling, mammalian expression systems would be preferable to ensure native-like tyrosine phosphorylation capabilities.
Therapeutic development: Mammalian expression is preferred for therapeutic applications due to more human-like post-translational modifications.
High-throughput screening: Sf9 systems may be appropriate for initial large-scale screening efforts where absolute native conformation is less critical.
Researchers should select the expression system based on their specific experimental requirements, with Sf9 systems offering advantages for quantity and speed, while mammalian systems provide more native-like characteristics.
Researchers frequently encounter conflicting data when studying CTLA4 across different experimental systems. Here's a methodological approach to reconciling these discrepancies:
Common sources of conflicting data:
Expression system variations:
Insect vs. mammalian cell-derived CTLA4 may show functional differences
Different glycosylation patterns can affect binding properties
Full-length vs. soluble forms may exhibit distinct activities
Isoform-specific effects:
Cell type-specific responses:
Context-dependent signaling:
Systematic reconciliation approach:
Comprehensive experimental documentation:
Create detailed tables comparing experimental conditions across studies
Document expression systems, cell types, activation conditions, and timing
Note antibody clones, concentrations, and specific epitopes targeted
Side-by-side comparative analysis:
Conduct parallel experiments using multiple systems
Test both membrane-bound and soluble CTLA4 under identical conditions
Compare insect cell vs. mammalian cell-derived proteins directly
Validation across multiple methodologies:
Confirm findings using complementary techniques (e.g., genetic knockdown plus antibody blockade)
Utilize both in vitro and in vivo systems when possible
Apply both biochemical and cellular/functional assessments
Temporal dynamics consideration:
Genetic approaches for specificity:
Use isoform-specific knockdown/knockout systems
Create rescue experiments with specific CTLA4 variants
Employ domain mutants to isolate specific functional regions
Interpretation framework:
When faced with conflicting data, researchers should systematically evaluate:
System-specific limitations: Is the conflict due to inherent differences between experimental systems?
Biological complexity: Do the differences reveal genuine biological complexity rather than experimental artifacts?
Integration potential: Can the seemingly conflicting data be integrated into a more comprehensive model of CTLA4 function?
Contextual dependence: Are the differences explicable through microenvironmental or cellular context variations?
By applying this systematic approach, researchers can transform apparent contradictions into deeper insights about context-specific CTLA4 functions and signaling mechanisms.
Recombinant CTLA4 produced in Sf9 systems offers several valuable applications in cancer immunotherapy research:
Screening and development applications:
Antibody development and screening:
High-throughput screening platform for novel anti-CTLA4 antibodies
Epitope mapping to identify antibodies targeting different CTLA4 domains
Affinity maturation of candidate therapeutic antibodies
Cross-reactivity testing against different species' CTLA4 proteins
Small molecule inhibitor discovery:
Target for screening small molecule libraries that may disrupt CTLA4-CD80/CD86 interactions
Structure-based drug design using Sf9-expressed CTLA4 crystal structures
Binding site identification for allosteric modulators
Protein-protein interaction studies:
Functional research applications:
B cell lymphoma research:
Tumor microenvironment studies:
Combination therapy development:
Translational applications:
CTLA4-Fc fusion proteins:
Development of improved CTLA4-Fc fusion proteins (similar to abatacept/belatacept)
Engineered variants with modified binding properties
Testing combination approaches with other immunomodulatory agents
Ex vivo studies:
Tools for manipulating CTLA4 pathways in CAR-T cell development
Analysis of patient-derived tumor samples for CTLA4 dependency
Biomarker identification for CTLA4 therapy response prediction
The use of Sf9-produced CTLA4 provides cost-effective and scalable reagents for these applications, though researchers must remain aware of potential structural differences compared to mammalian-expressed protein, particularly for applications sensitive to glycosylation patterns.
Investigating differential roles of membrane-bound (mCTLA-4) and soluble CTLA4 (sCTLA-4) in immunotherapy requires careful experimental design:
Expression system selection:
For mCTLA-4 studies:
Mammalian expression systems for proper membrane insertion
Cell lines with minimal endogenous CTLA4 expression
Inducible expression systems to control timing and levels
For sCTLA-4 studies:
Sf9 or mammalian systems for recombinant production
Careful design of constructs containing only the extracellular domain
Consideration of fusion tags that won't interfere with function
Differential targeting strategies:
Antibody-based approaches:
Domain-specific antibodies that preferentially target one form
Epitope mapping to identify form-specific binding regions
Functional blocking studies with form-selective antibodies
Genetic approaches:
Isoform-specific knockdown using targeted siRNA/shRNA
CRISPR-Cas9 editing of specific exons affecting one form
Selective expression of individual isoforms in knockout backgrounds
Functional discrimination methods:
In vitro assays:
In vivo models:
Context-dependent analysis:
Cell type considerations:
Temporal dynamics:
Therapeutic translation:
Selective targeting strategies:
Development of therapeutics selectively targeting mCTLA-4 vs. sCTLA-4
Assessment of differential toxicity profiles
Evaluation of context-specific efficacy (cancer type, autoimmunity, etc.)
Biomarker development:
Correlation of mCTLA-4:sCTLA-4 ratios with treatment outcomes
Development of assays measuring sCTLA-4 levels in patient serum
Tissue analysis of mCTLA-4 expression patterns
Understanding the differential roles of these CTLA4 forms has significant implications for developing more targeted immunotherapies with potentially improved efficacy and reduced adverse effects.
The discovery of the CTLA4-Tyk2-STAT3 signaling pathway presents exciting opportunities for developing novel immunotherapeutic approaches:
Therapeutic target expansion:
Dual targeting strategies:
Cell type-specific targeting:
Isoform-selective approaches:
Resistance mechanism insights:
Understanding therapy failure:
STAT3 activation as a potential resistance mechanism to CTLA4 blockade
Identification of biomarkers predicting response to CTLA4 therapy
Development of combination approaches to overcome resistance
Novel biomarkers:
Therapeutic expansion beyond T cell effects:
B cell malignancy applications:
Tumor microenvironment modulation:
Macrophage polarization:
Potential next-generation approaches:
Bifunctional molecules:
CTLA4-targeting antibodies conjugated to STAT3 inhibitors
Bispecific antibodies targeting CTLA4 and Tyk2
Trispecific approaches incorporating additional checkpoint modulation
Selective pathway modulation:
Development of antibodies that block CTLA4-Tyk2 interaction without affecting CD80/CD86 binding
Small molecules targeting the CTLA4-Tyk2 interface
Allosteric modulators affecting only specific CTLA4 signaling pathways
Cell therapy enhancement:
Engineering CAR-T cells with modified CTLA4 pathways
Development of CAR-B cells targeting CTLA4-expressing malignancies
Ex vivo modulation of tumor-associated B cells
These innovative approaches could lead to more precise immunotherapies with improved efficacy and reduced toxicity profiles compared to current CTLA4-targeting approaches.
Cytotoxic T-Lymphocyte Associated Antigen-4 (CTLA-4), also known as CD152, is a critical immune checkpoint molecule that plays a pivotal role in regulating immune responses. It is predominantly expressed on the surface of activated T cells and regulatory T cells (Tregs). The recombinant form of CTLA-4, produced in Sf9 insect cells, is utilized in various research and therapeutic applications.
CTLA-4 is a single-chain transmembrane glycoprotein that shares structural similarities with the co-stimulatory molecule CD28. Both CTLA-4 and CD28 bind to the B7 family molecules (CD80/CD86) on antigen-presenting cells (APCs), but with opposing effects. While CD28 promotes T cell activation and proliferation, CTLA-4 acts as a negative regulator, dampening T cell responses and maintaining immune homeostasis .
CTLA-4 competes with CD28 for binding to CD80/CD86 with higher affinity, thereby inhibiting the co-stimulatory signals required for full T cell activation. This competitive inhibition is crucial for preventing overactivation of the immune system, which can lead to autoimmunity . In addition to its role in T cells, CTLA-4 has been shown to modulate B cell responses, particularly in the context of autoimmune diseases .
The immunoregulatory properties of CTLA-4 have made it an attractive target for therapeutic interventions, particularly in cancer and autoimmune diseases. CTLA-4-Ig, a fusion protein combining the extracellular domain of CTLA-4 with the Fc region of IgG1, has been developed to inhibit T cell activation by blocking CD80/CD86 interactions. This therapeutic approach has shown efficacy in treating conditions such as rheumatoid arthritis and has been explored in cancer immunotherapy .
CTLA-4 plays a significant role in tumor immunity by modulating T cell responses within the tumor microenvironment. Tumor cells often exploit immune checkpoint molecules like CTLA-4 to evade immune detection and destruction. By inhibiting CTLA-4, immune checkpoint inhibitors can restore T cell activity and enhance anti-tumor immune responses. This has led to the development of monoclonal antibodies targeting CTLA-4, which have demonstrated clinical benefits in various malignancies, including melanoma and renal cell carcinoma .