TNF receptors consist of two main types: TNFR1 (p55 or TNFRSF1A) and TNFR2 (p75 or TNFRSF1B). These receptors bind tumor necrosis factor-alpha (TNF-α), a major inflammatory cytokine critically involved in immune system homeostasis. The TNF/TNFR system plays dual roles in health and disease - mediating beneficial effects in inflammation and host defense while potentially contributing to pathological conditions like sepsis, cachexia, and autoimmune diseases .
TNFRs are involved in multiple cellular processes including cell proliferation, survival, differentiation, apoptosis, and immune organ development. TNFR1 signaling has been extensively studied and responds to broad inflammatory stimulation in various diseases through NF-κB activation . In contrast, TNFR2 functions more selectively in specific conditions such as certain kidney diseases, requiring co-factors for NF-κB activation . Understanding these receptors provides opportunities for targeted therapeutic interventions in chronic inflammatory and autoimmune conditions.
Sf9 insect cells offer several methodological advantages for expressing human TNFRs:
Post-translational modifications: Sf9 cells perform many essential post-translational modifications required for functional mammalian proteins, particularly important for receptor ectodomains.
High expression yields: The baculovirus expression system in Sf9 cells typically produces substantial amounts of recombinant proteins with proper folding, critical for structural and functional studies.
Secretion capability: With appropriate signal sequences (such as gp67), Sf9 cells efficiently secrete proteins into the culture medium, simplifying downstream purification.
Scalability: Sf9 cultures can be scaled up for larger protein production needs while maintaining consistent quality.
The established methodology for TNFR expression in Sf9 cells involves:
Constructing expression vectors containing the human TNFR extracellular domain (ECD) with a modified N-terminal gp67 secretion signal sequence and C-terminal His6 tag
Transforming these constructs into bacterial DH10Bac cells
Transfecting the resulting bacmid into Sf9 cells with Cellfectin II Reagent
Harvesting and amplifying the low-titer viruses
Infecting large-scale Sf9 cultures (typically at 2×10^6 cells/ml)
Collecting the protein-containing supernatant 48-72 hours post-infection
Understanding the distinct properties of TNFR1 and TNFR2 is essential for experimental design and data interpretation:
Characteristic | TNFR1 (p55/TNFRSF1A) | TNFR2 (p75/TNFRSF1B) |
---|---|---|
Expression pattern | Ubiquitous | Restricted; primarily on immune cells and renal tubular epithelial cells |
TNF-α response | Strong response to soluble TNF-α | Preferentially activated by membrane-bound TNF-α |
Signaling mechanism | Direct activation of NF-κB | Context-dependent; requires co-factors in certain cell types |
Cytoplasmic death domain | Present | Absent |
Role in renal diseases | Less prominent | More significant; highly expressed in renal tubular epithelial cells |
Species specificity | High; human TNF cannot activate mouse TNFR1 | High; selective agonists required for cross-species studies |
In renal tubular epithelial cells (RTECs), TNFR2 is expressed at significantly higher levels than TNFR1, making these cells particularly valuable for studying TNFR2-specific signaling . This differential expression pattern highlights the importance of cell type selection when designing TNFR experiments.
Optimizing human TNFR expression in Sf9 cells requires attention to several methodological parameters:
Vector design considerations:
For human TNFR1, use residues 22-211 of the extracellular domain
For human TNFR2, use residues 23-255 of the extracellular domain
Include a modified N-terminal gp67 secretion signal sequence
Infection parameters:
Use high-titer virus (typically third passage) for protein production
Optimal cell density for infection is 2×10^6 cells/ml
Harvest supernatant containing secreted protein 48-72 hours post-infection
Expression verification:
Perform small-scale test expressions before scaling up
Monitor protein expression via Western blot analysis of supernatant samples
Analyze protein quality via gel filtration chromatography to assess oligomeric state
Following these guidelines enables production of properly folded, functional human TNFR extracellular domains suitable for downstream applications including binding studies, structural analysis, and development of receptor-selective ligands.
A multi-step purification approach is recommended for obtaining high-quality human TNFR proteins from Sf9 cell culture supernatants:
Initial processing:
Immobilized metal affinity chromatography (IMAC):
Size exclusion chromatography:
This protocol has successfully yielded purified TNFR ectodomains suitable for biochemical, structural, and functional studies. The methodology emphasizes preserving protein structure and function throughout the purification process, which is critical for downstream applications.
Functional verification of purified TNFRs requires multiple complementary approaches:
Binding kinetics analysis using Surface Plasmon Resonance (SPR):
Immobilize TNFR1-Fc or TNFR2-Fc on a CM5 sensor chip (target: 3000-3500 RU)
Prepare serial dilutions of wild-type TNF or TNF mutants (6.25-100 nM)
Measure association by flowing TNF over immobilized receptors (2 min, 20 μl/min)
Measure dissociation by flowing buffer (1 min, 20 μl/min)
Analyze data using global fitting with a 1:1 Langmuir binding model
Cell-based functional assays:
For TNFR1 activity: Cytotoxicity assay using L-M cells (incubate cells with serial dilutions of TNF for 24h and assess viability using methylene blue assay)
For TNFR2 activity: Cytotoxicity assay using mTNFR2/mFas-PA cells (incubate with TNF and cycloheximide for 48h and analyze viability using WST-8 assay)
Structural integrity assessment:
SDS-PAGE under reducing and non-reducing conditions
Circular dichroism spectroscopy
Analytical gel filtration to verify oligomeric state
These methodologies provide comprehensive evaluation of both the binding properties and biological activity of the expressed TNFRs, essential for ensuring the reliability of downstream experiments.
Developing TNFR-selective modulators requires sophisticated approaches that combine structural knowledge with screening methodologies:
Phage display technique for generating receptor-selective TNF mutants:
Create a phage library displaying TNF mutants with randomized amino acid residues at the predicted receptor-binding site (nine amino acid residues are typically targeted)
Perform competitive panning against immobilized TNFR1 and TNFR2
Isolate phages that bind selectively to the target receptor
Express and purify selected TNF mutants
This approach has successfully yielded TNFR2-selective agonists with full bioactivity and high receptor specificity, such as the mouse TNFR2-selective TNF mutant described in research findings . Previous attempts using conventional site-directed mutagenesis (e.g., D143N-A145R human TNF mutant) resulted in reduced receptor binding affinity (5-10 fold less than wild-type TNF) .
Evaluation of selectivity and potency:
SPR analysis to determine binding kinetics to both receptor types
Competitive binding assays to confirm selectivity
Cell-based assays using receptor-specific reporter systems
These methodologies enable the development of valuable research tools for dissecting the specific functions of individual TNF receptors in various physiological and pathological contexts.
Several complementary techniques provide robust data on TNFR interactions with other proteins:
Förster Resonance Energy Transfer (FRET) microscopy:
Enables visualization of protein interactions in living cells
For TNFR studies, use ECFP-tagged receptor (donor) and EYFP-tagged binding partner (acceptor)
Perform acceptor photobleaching FRET experiments
After photobleaching EYFP-tagged proteins, measure increased emission from ECFP-tagged proteins
Calculate FRET efficiency as the relative increase in donor fluorescence after acceptor photobleaching
Statistical analysis of FRET efficiency provides quantitative measure of interaction specificity
Research findings demonstrate high FRET efficiency (approximately 40%) between ECFP-IL-17RD and EYFP-TNFR2, while control pairs (ECFP-IL-17RD/EYFP-TNFR1, ECFP-IL-17RA/EYFP-TNFR2, and ECFP-IL-17RA/EYFP-TNFR1) showed low FRET efficiency (<10%), confirming specific interaction .
Co-immunoprecipitation (Co-IP):
Detects stable protein-protein interactions in cell lysates
Can be performed with endogenous proteins or overexpressed tagged versions
Enables analysis of complex formation in response to stimuli (e.g., TNF-α treatment)
Western blotting of immunoprecipitates reveals specific interaction partners
Quantitative analysis can measure relative amounts of interacting proteins
Immunofluorescence co-localization:
Visualizes spatial overlap of proteins in cells or tissues
Particularly valuable for tracking receptor trafficking after stimulation
In renal tubular epithelial cells, IL-17RD and TNFR2 co-localization is enhanced and shifts to perinuclear compartments after TNF-α treatment
Can be applied to tissue sections for in vivo relevance (e.g., kidney sections from disease models)
TNFR signaling investigations require context-specific approaches, as signaling outcomes vary significantly between cell types:
Cell type considerations:
Renal tubular epithelial cells (RTECs) express high levels of TNFR2 but minimal TNFR1
In RTECs, IL-17RD interacts with TNFR2 and influences NF-κB signaling
Different cell types may contain varied co-factors that modulate TNFR signaling
NF-κB activation analysis methodology:
Transfect cells with NF-κB-responsive luciferase reporter construct
Treat with appropriate stimuli (TNF-α, receptor-selective agonists)
Measure luciferase activity as indicator of NF-κB activation
Include appropriate controls (pathway inhibitors, receptor knockdowns)
Normalize results to account for transfection efficiency and cell number
Investigation of complex formation dynamics:
IL-17RD interacts with TNFR2 under basal conditions
Complex formation increases upon TNF-α stimulation
Quantitative analysis shows elevated TNFR2 in the complex with IL-17RD after TNF-α treatment
ELISA experiments confirm enhanced association between IL-17RD-ECD and TNFR2-ECD in the presence of TNF-α
Research findings suggest that the presence of IL-17RD might play a critical role in TNFR2-mediated activation of NF-κB without TNF-α treatment under certain inflammatory conditions, highlighting the complexity of receptor interactions .
Researchers frequently encounter several challenges when working with TNFRs in Sf9 expression systems. Methodological solutions include:
Challenge | Potential Causes | Solutions |
---|---|---|
Low expression yields | Suboptimal virus quality | Re-amplify virus, verify titer before large-scale infection |
Inefficient secretion | Verify signal sequence functionality, optimize culture conditions | |
Protein toxicity | Consider inducible expression systems | |
Poor solubility | Improper folding | Adjust buffer conditions (pH, salt concentration) |
Aggregation tendency | Add stabilizing agents (glycerol, non-ionic detergents) | |
Decreased binding activity | Improper glycosylation | Consider expression in mammalian cells if glycosylation is critical |
Incorrect disulfide formation | Include redox agents during purification | |
Protein degradation | Proteolytic activity | Add protease inhibitors to collection buffer |
Sample handling | Maintain samples at 4°C, avoid freeze-thaw cycles |
For protein verification after purification:
Analyze protein homogeneity via analytical size exclusion chromatography
Confirm molecular weight via mass spectrometry
Verify binding activity using surface plasmon resonance
Assess thermal stability using differential scanning fluorimetry
These methodological approaches help overcome common technical hurdles in TNFR research and ensure the production of high-quality proteins for downstream applications.
Rigorous experimental controls are critical for obtaining reliable data in TNFR interaction studies:
FRET experiments:
Negative controls: Measure FRET efficiency between unrelated proteins (e.g., ECFP-IL-17RA and EYFP-TNFR1) to establish background levels (<10%)
Positive controls: Use known interacting protein pairs
Expression level controls: Normalize for protein expression levels
Proper statistical analysis of FRET efficiency data across multiple experiments
Co-immunoprecipitation studies:
Input controls: Analyze total lysate to verify expression of target proteins
Negative controls: Use isotype-matched irrelevant antibodies for immunoprecipitation
Reciprocal co-IPs: Perform experiments immunoprecipitating each protein partner
Specificity controls: Include competing peptides or proteins when possible
Stimulus-response experiments:
Time course: Analyze complex formation at multiple time points after stimulation
Dose-response: Test multiple concentrations of stimulus (e.g., TNF-α)
Pathway inhibitors: Include specific inhibitors to verify signaling mechanisms
Receptor mutants: Use binding-deficient mutants to confirm specificity
TNFR biology is complex, and apparent contradictions in research findings often reflect context-dependent functioning rather than actual inconsistencies. Methodological approaches to resolving these challenges include:
Context-dependent TNFR2 signaling assessment:
TNFR2 signaling often requires co-factors that vary between cell types
In RTECs, IL-17RD serves as a co-receptor for TNFR2, enabling NF-κB activation
IL-17RD's membrane-bound status affects its role in NF-κB signaling (the Y330F membrane-bound mutant abrogates inhibitory function)
TNFR2 can function in both TNF-α-dependent and -independent manners
Species-specific considerations:
Human and mouse TNFRs show structural and functional differences
Human TNF cannot selectively stimulate mouse TNFR2
Species-specific TNFR-selective TNF mutants may be required for certain studies
Previous human TNFR2-selective TNF mutant (R2-7) does not bind to mouse TNFR2
Comparing experimental systems:
Cell types: Different cells express varying levels of TNFRs and co-receptors
Receptor expression levels: Analyze whether studies used endogenous or overexpressed receptors
Stimulation conditions: Compare acute vs. chronic TNF exposure
Readout methods: Different assays may capture distinct aspects of receptor function
When evaluating contradictory findings, researchers should systematically compare experimental conditions, examine receptor expression patterns, and consider the presence of potential co-factors that might explain the observed differences.
The Tumor Necrosis Factor Receptor (TNFR) is a critical component of the immune system, playing a pivotal role in the regulation of immune responses. The recombinant form of this receptor, produced in Sf9 cells, is utilized extensively in research to understand its function and potential therapeutic applications.
The recombinant TNFR produced in Sf9 cells is a glycosylated polypeptide chain containing 411 amino acids, with a molecular mass of approximately 45.3 kDa . Sf9 cells, derived from the fall armyworm (Spodoptera frugiperda), are commonly used in baculovirus expression systems for producing recombinant proteins. This system allows for high-level expression and proper folding of complex proteins, making it ideal for producing functional TNFR.
TNFR plays a crucial role in the clonal expansion, survival, and development of T cells . It acts as a receptor for TNFSF9 (also known as 4-1BBL), enhancing CD8+ T-cell survival, cytotoxicity, and mitochondrial activity . This makes TNFR an important target for immunotherapy, particularly in cancer treatment, where boosting the immune response against tumors is essential.
Recombinant TNFR is used in various research applications, including: