TNFRSF11B Antibody

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Description

Research Applications

Validated applications include:

ApplicationKey FindingsSource
Western Blot (WB)Detects TNFRSF11B in human milk .
Immunohistochemistry (IHC)Strong staining in tumor tissues and metastatic lymph nodes; correlates with poor prognosis in colon cancer .
ELISAQuantifies soluble TNFRSF11B in plasma; elevated levels predict sepsis–ARDS severity .
Functional NeutralizationInhibits TRAIL/TNFSF10-induced cytotoxicity in L-929 fibroblasts (ND₅₀: 0.15–0.3 µg/mL) .

Inflammatory Diseases

  • Sepsis–ARDS:

    • Plasma TNFRSF11B levels increase significantly (>10 ng/mL) and disrupt endothelial junction proteins (e.g., claudin-5, VE-cadherin) .

Clinical Implications

Diagnostic Utility:

  • Prognostic biomarker for colon cancer (AUC = 0.78) .

  • Predictive marker for vascular endothelial dysfunction in sepsis–ARDS .

Therapeutic Potential:

  • Neutralizing TNFRSF11B antibodies restore memory CD4⁺ T cell activity (p < 0.0001) .

  • Potential target for immunotherapies in TNM stage III colon cancer .

Technical Validation Data

Table 1: Antibody Performance Metrics

ParameterSpecification
Sensitivity (WB)1:500–1:2000 dilution
IHC Antigen RetrievalTE buffer (pH 9.0) or citrate buffer (pH 6.0)
Neutralization Efficiency80–95% at 1 µg/mL

Figure: TNFRSF11B antibody validation in IHC shows strong staining in metastatic lymph nodes (Figure 3A) .

Limitations and Future Directions

  • Current studies lack in vivo validation of TNFRSF11B’s role in E. coli-mediated immune modulation .

  • Cross-reactivity with non-human primates requires further testing .

Product Specs

Buffer
Liquid in PBS containing 50% glycerol, 0.5% BSA, and 0.02% sodium azide.
Form
Liquid
Lead Time
Typically, we are able to ship products within 1-3 business days of receiving your order. Delivery times may vary depending on the method of purchase or location. Please consult your local distributor for specific delivery time information.
Synonyms
MGC29565 antibody; OCIF antibody; OPG antibody; Osteoclastogenesis inhibitory factor antibody; Osteoprotegerin antibody; PDB5 antibody; TNF receptor superfamily member 11b antibody; TNFRSF 11B antibody; TNFRSF11B antibody; TR 1 antibody; TR1 antibody; TR11B_HUMAN antibody; Tumor necrosis factor receptor superfamily member 11B antibody
Target Names
Uniprot No.

Target Background

Function
TNFRSF11B Antibody acts as a decoy receptor for TNFSF11/RANKL, effectively neutralizing its function in osteoclastogenesis. This neutralization inhibits the activation of osteoclasts and promotes their apoptosis in vitro. The local ratio between TNFSF11 and TNFRSF11B is crucial for maintaining bone homeostasis. TNFRSF11B may also play a vital role in preventing arterial calcification. Additionally, it might act as a decoy receptor for TNFSF10/TRAIL, offering protection against apoptosis. However, binding of TNFSF10/TRAIL to TNFRSF11B can block the inhibition of osteoclastogenesis.
Gene References Into Functions
  1. **REVIEW:** Exploring the role of osteoprotegerin in the crosstalk between vessels and bone: circulating OPG levels could serve as independent biomarkers of cardiovascular disease in patients with acute or chronic cardiometabolic disease, potentially leading to improved prognosis. PMID: 28867452
  2. OPG is considered a promising susceptibility gene for bone mineral density or osteoporotic fractures. PMID: 28496203
  3. The concentration of circulating osteoprotegerin can serve as a biomarker for both medial artery calcification and atherosclerosis in patients with chronic kidney disease (CKD). Notably, OPG might act as an early indicator of all-cause mortality in CKD patients with advanced medial arterial calcification. PMID: 29974642
  4. Research suggests that non-small cell lung cancer patients exhibit a higher content of OPG in bronchoalveolar lavage fluid compared to healthy individuals. PMID: 29052177
  5. A positive correlation of OPG with age and an inverse correlation with IGF-I suggests a compensatory response of OPG against bone loss in the aging skeleton. PMID: 29895074
  6. Studies have shown that mice treated with low levels of human recombinant OPG may exhibit a more stable aneurysmal phenotype due to compensatory production of collagen and increased vessel wall thickness of the aorta, potentially protecting the aneurysm from rupture. PMID: 29749489
  7. TNF-alpha, DKK1, and OPG are implicated in the pathogenesis of knee osteoarthritis. PMID: 28676900
  8. OPG mRNA expression was found to be higher in tumor tissue from patients with metastatic prostate cancer compared to localized disease. The RANKL/OPG ratio was low in normal prostate tissue and elevated in tumors with bone metastases. Expression was also high in BPH tissue but did not surpass that observed in tumor tissue. PMID: 29204705
  9. Research suggests that the RANK, RANK-L, and OPG system participates in bone remodeling following RME. PMID: 29297549
  10. In the context of cardiovascular risks, serum OPG levels might increase as a preventive compensatory mechanism to counteract the elevation of RANKL levels. The determination of the OPG-RANKL system serves as a diagnostic indicator for the intensity of vascular calcification and atherosclerosis in SSc patients. PMID: 29336616
  11. Research demonstrates that rs3134069 in TNFRSF11B increases the risk of ischemic stroke by decreasing TNFRSF11B expression. PMID: 29501268
  12. sRANKL and OPG may play a role in the pathogenesis of diabetes as well as metabolic disturbance. PMID: 28146138
  13. A study revealed enhanced sensitivity of aortic valve interstitial cells to osteogenic inductors in aortic stenosis patients, indicating probable involvement of OPN, OPG, and BMP2 genes in the pathogenesis of aortic valve calcification. PMID: 29308559
  14. Patients with metabolic syndrome exhibit increased osteoprotegerin serum levels compared to healthy individuals. Osteoprotegerin plays a significant role in the development of arteriosclerosis, and its effect on intima media thickness strongly depends on the extent of arteriosclerotic changes in metabolic syndrome. PMID: 29077157
  15. In African-Americans, higher OPG levels were associated with characteristics commonly observed in patients with heart failure with preserved ejection fraction (HFpEF) and were significantly associated with known precursors to HFpEF. PMID: 28787318
  16. The rs2073618 polymorphism was not found to be associated with bone mineral density. PMID: 28488893
  17. TRACP-5b levels are significantly associated with the OPG level and with the severity and extent of coronary atherosclerosis in coronary artery disease patients. PMID: 28428481
  18. Vascular smooth cells are a significant source of osteoprotegerin within the vasculature. However, RANKL, once present, downregulates this production and appears capable of preventing the "protective" upregulation of OPG observed in VSMCs exposed to physiological levels of cyclic strain. PMID: 29635231
  19. Higher serum OPG levels represent an independent risk factor for cardiovascular and fracture risk. PMID: 28677166
  20. Regarding the OPG gene, an association was observed between the group with chronic arthralgia and joint TMD and the control group (P=0.04). Additionally, there was a tendency towards an association of the haplotype CGCCAA with an increased risk of developing chronic joint pain, even in the absence of TMD (P=0.06). PMID: 28464982
  21. Vitamin D, tumor necrosis factor (TNF)-alpha, receptor activator of nuclear factor-KB ligand (RANKL), and OPG levels were determined in GCF and serum. Baseline clinical parameters were similar in all periodontitis groups (P > 0.05) but were higher than that in controls. PMID: 28904316
  22. Adipose-derived stem cell-released osteoprotegerin protects cardiomyocytes from reactive oxygen species-induced cell death. PMID: 28931423
  23. Down-regulated miR-143-5p promotes the differentiation of DPSCs into odontoblasts by enhancing Runx2 expression via the OPG/RANKL signaling pathway. PMID: 28608628
  24. OPG and OPG/TRAIL ratio expression were significantly increased in rheumatoid arthritis patients compared to controls (fold change = 1.79, p = 0.013 and 2.07, p = 0.030, respectively), while the RANKL/OPG ratio was significantly decreased (fold change = 0.50, p = 0.020). No significant differences were observed between patients and controls in RANKL and TRAIL expression. PMID: 27403809
  25. Elevated OPG was found to be a strong and independent predictor of long-term cardiovascular mortality, even after adjusting for traditional risk factors. Low levels of both OPG and act vWF were associated with a 99% survival rate during the follow-up period of five years. PMID: 28726980
  26. This study revealed a significant elevation of circulating OPG in septic patients with different levels of severity and in those who progressed to AKI. PMID: 28840836
  27. The study investigated the association between osteoprotegerin gene polymorphisms and osteoporosis in Roma and non-Roma postmenopausal women in Eastern Slovakia. PMID: 27859736
  28. In type 2 diabetes patients, HMGB-1 and OPG serum levels are higher in patients affected by peripheral arterial disease and are independently associated with its occurrence and clinical severity. PMID: 28789654
  29. Epicardial adipose tissue expresses the mRNA of osteopontin, osteoprotegerin, and osteonectin genes, which have been implicated in the calcification process. This expression is statistically associated with some components of HDL subclasses in coronary artery disease patients. PMID: 28821297
  30. Serum osteoprotegerin level is significantly associated with both the presence and severity of peripheral arterial disease in patients with type 2 diabetes. PMID: 29313442
  31. Serum osteoprotegerin was identified as the strongest risk factor associated with the new development and rapid progression of arterial calcification in incident peritoneal dialysis patients. PMID: 28614819
  32. Research concluded that in Mexican-Mestizo female patients with rheumatoid arthritis, the rs2073618 polymorphism of the TNRFS11B gene is not associated with low bone mineral density. PMID: 28758134
  33. Osteoprotegerin was associated with chronic kidney disease in hypertensive patients. PMID: 28683789
  34. Data suggest that, in children with type I diabetes, serum levels of osteoprotegerin are up-regulated, serum levels of RANKL are unchanged, and serum levels of fetuin-A are down-regulated. (RANKL = receptor activator of nuclear factor kappa B ligand). PMID: 27028343
  35. Data indicate a significant inverse relationship between plasma osteoprotegerin (OPG) levels and breast cancer risk among women with an inherited BRCA1 or BRCA2 mutation. PMID: 27893411
  36. Progressive calcification of atherosclerotic plaques is accompanied by insignificant accumulation of calcitonin and osteoprotegerin, whereas osteocalcin expression significantly increased during calcification. PMID: 28429221
  37. Elevated serum ferritin concentrations and bone remodeling marker, osteoprotegerin, are independent predictors of hip fracture in postmenopausal women hospitalized for fragility fracture. PMID: 27503623
  38. Results showed that colorectal liver metastasis tissues exhibited significantly reduced expression of osteoprotegerin compared to primary colorectal carcinomas and normal colorectal mucosa. This reduced expression was significantly associated with the extent of colorectal liver metastasis, including multiplicity of metastatic tumors, involvement of the bilateral hepatic lobes, and higher histological grade. PMID: 27764814
  39. Data indicate that the RANKL/RANK/OPG system is deregulated in post-menopausal women at high risk for breast cancer and in women with circulating tumor cells. Thus, serum levels of RANKL/OPG are potentially indicative of predisposition and progression of breast cancer in humans. PMID: 28002811
  40. High OPG expression is associated with triple negative breast cancer. PMID: 27015557
  41. This research provides the first evidence that OPG improves risk stratification for cardiovascular events in a non-dialysis chronic kidney disease population. PMID: 27016924
  42. OPG is recognized to play a role in cancer progression, particularly in breast cancer. [review] PMID: 27072583
  43. The OPG rs2073618 polymorphism could serve as a possible genetic marker for predicting an increased risk of carotid plaque burden, a measure of advanced subclinical atherosclerosis in T2DM subjects. PMID: 28593808
  44. E05657 emerged as the compound with the greatest potential, exhibiting high activity and a low effective concentration in the HTS system. It increases the OPG/RANKL ratio and OPG secretion, decreases NFATc1 expression, and reduces osteoclastogenesis in vitro. PMID: 27301430
  45. The OPG T950C polymorphism might be associated with an increased osteoporosis risk in the Chinese population. PMID: 29253005
  46. Findings indicate that low OPG levels may be associated with osteoporosis in ulcerative colitis, but it is not correlated with the c.-223C > T polymorphism in the TNFRSF11B gene. PMID: 27639566
  47. RANKL/Osteoprotegerin play significant roles in bone turnover in Hashimoto Thyroiditis. PMID: 27328677
  48. High OPG expression is associated with colorectal carcinoma. PMID: 26942563
  49. Research suggests that elevated plasma levels of osteoprotegerin/TNFRSF11B correlate with an increased risk of cardiovascular comorbidities in children and adolescents with type 1 diabetes (compared to healthy control subjects). Therefore, osteoprotegerin/TNFRSF11B may serve as a biomarker of cardiovascular risk in these patients. This study was conducted in Tunisia. PMID: 27111559
  50. Studies have shown that the central hypothalamic-pituitary regulatory system, through its relative hormones, seems to control OPG/RANKL/RANK system function. The pulsatility and circadian rhythmicity of these hormones may induce an oscillatory fluctuation of the OPG/ RANKL ratio. Additionally, psychological characteristics may trigger a shift of the OPG/ RANKL ratio towards an unbalanced or a balanced state. [review] PMID: 27862210

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Database Links

HGNC: 11909

OMIM: 239000

KEGG: hsa:4982

STRING: 9606.ENSP00000297350

UniGene: Hs.81791

Involvement In Disease
Paget disease of bone 5, juvenile-onset (PDB5)
Subcellular Location
Secreted.
Tissue Specificity
Highly expressed in adult lung, heart, kidney, liver, spleen, thymus, prostate, ovary, small intestine, thyroid, lymph node, trachea, adrenal gland, testis, and bone marrow. Detected at very low levels in brain, placenta and skeletal muscle. Highly expres

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Applications : Immunohistochemical staining

Sample type: Human Cells

Review: Immunohistochemical staining of Leptin (A), OPG (D), and RANKL (G) in control and chronic periodontitis groups. Red arrows indicate the positive cells. EL: epithelial layer, LP: lamina propria.

Q&A

What is TNFRSF11B and what are its primary functions in human physiology?

TNFRSF11B, also known as Osteoprotegerin (OPG) or osteoclastogenesis inhibitory factor (OCIF), belongs to the tumor necrosis factor (TNF) receptor superfamily. It functions primarily as a decoy receptor for TNFSF11 (RANKL), inhibiting osteoclastic activity and promoting bone formation by preventing RANKL from binding to its receptor TNFRSF11A (RANK) . Beyond bone metabolism, TNFRSF11B plays significant roles in:

  • Immune regulation, particularly in suppressing memory CD4+ T cell activation in cancer microenvironments

  • Vascular endothelial function, with elevated levels associated with endothelial dysfunction in sepsis-ARDS

  • Inflammatory response modulation, as evidenced by its involvement in rheumatoid arthritis pathophysiology

The protein consists of 401 amino acids with a calculated molecular weight of 46 kDa, though it's typically observed at approximately 56 kDa in Western blot applications due to post-translational modifications .

What are the different types of TNFRSF11B antibodies available for research, and how do they differ?

Researchers can utilize several types of TNFRSF11B antibodies, each with specific characteristics:

Antibody TypeHost/IsotypeCloneApplicationsReactivitySpecial Features
MonoclonalMouse IgG69146NeutralizationHumanNeutralizes OPG activity in TRAIL-induced cytotoxicity assays
PolyclonalRabbit IgGN/AWB, IHC, IF/ICC, ELISAHuman, RatRecognizes native protein at ~56 kDa

The monoclonal antibody (clone 69146) demonstrates specific neutralizing activity against recombinant human Osteoprotegerin/TNFRSF11B in functional assays, with an ND50 (neutralizing dose) typically between 0.15-0.3 μg/mL . In contrast, polyclonal antibodies offer broader epitope recognition, making them versatile for detection applications across multiple techniques .

How does TNFRSF11B expression vary across different tissues and disease states?

TNFRSF11B expression exhibits significant tissue-specific and disease-state variation:

  • Normal tissues: Detected in human milk and expressed in kidney tissue

  • Cancer contexts: Increased expression observed in colorectal cancer, correlating with poorer prognosis and suppression of memory CD4+ T cell infiltration

  • Inflammatory conditions:

    • In rheumatoid arthritis (RA), TNFRSF11B expression remains relatively constant even when RANKL and RANK expression decrease following methotrexate treatment

    • In sepsis-ARDS, plasma TNFRSF11B levels are significantly elevated compared to healthy controls, with concentrations reaching 10-20 ng/mL

Interestingly, while TNFRSF11B functions primarily as a bone metabolism regulator, its immunomodulatory effects appear to be context-dependent, sometimes promoting immunosuppression as observed in colon cancer microenvironments .

What are the optimal conditions for using TNFRSF11B antibodies in Western blot applications?

For optimal Western blot detection of TNFRSF11B, researchers should consider the following protocol parameters:

ParameterRecommended ConditionsNotes
Sample TypesHuman milk, cell lysatesValidated in human samples
Antibody Dilution1:500-1:1000For polyclonal antibody #11534-1-AP
Expected Molecular Weight56 kDaDespite calculated MW of 46 kDa
Sample PreparationStandard protein extraction methodsInclude protease inhibitors
Detection SystemStandard secondary antibody detection systemsECL recommended

When analyzing TNFRSF11B expression changes, as in methotrexate treatment studies, Western blot can effectively demonstrate differences in both cellular and soluble TNFRSF11B levels. In rheumatoid arthritis fibroblasts, methotrexate treatment showed no significant changes in OPG protein expression while decreasing RANKL levels , highlighting the importance of analyzing related proteins within the same pathway.

How should TNFRSF11B antibodies be used for immunohistochemistry of tissue samples?

For effective immunohistochemical detection of TNFRSF11B in tissue samples:

ParameterRecommended ConditionsNotes
Tissue PreparationFFPE or frozen sectionsBoth validated
Antigen RetrievalTE buffer pH 9.0 (preferred) or citrate buffer pH 6.0Critical for epitope accessibility
Antibody Dilution1:400-1:1600For polyclonal antibody #11534-1-AP
Detection SystemDAB (diaminobenzidine)Brown staining as shown in RA studies
Positive Control TissuesRat kidney tissueDemonstrated consistent staining

Semi-quantitative double-blind microscopic analysis can be employed to evaluate expression levels, as demonstrated in studies examining TNFRSF11B expression in rheumatoid arthritis synovial biopsies before and after methotrexate treatment . This approach allows for objective assessment of expression changes in response to therapeutic interventions.

What neutralization assays can be performed to evaluate TNFRSF11B antibody functionality?

Functional neutralization assays provide critical information about TNFRSF11B antibody activity:

The established neutralization assay involves:

  • Preparation of L-929 mouse fibroblast cells treated with actinomycin D (0.5 μg/mL)

  • Addition of Recombinant Human TRAIL/TNFSF10 (50 ng/mL) to induce cytotoxicity

  • Addition of Recombinant Human Osteoprotegerin/TNFRSF11B Fc Chimera (0.1 μg/mL) to inhibit TRAIL-induced cytotoxicity

  • Titration of anti-TNFRSF11B monoclonal antibody to neutralize OPG's inhibitory effect on TRAIL

  • Measurement of cell viability to determine neutralizing activity

The neutralizing dose (ND50) typically ranges from 0.15-0.3 μg/mL when using the Mouse Anti-Human Osteoprotegerin/TNFRSF11B Monoclonal Antibody (Clone 69146) . This assay specifically evaluates the antibody's ability to block OPG's decoy receptor function, which is essential for validating antibody functionality in research applications.

How is TNFRSF11B implicated in sepsis-ARDS pathophysiology and what are the appropriate experimental designs to study this?

TNFRSF11B has emerged as a potential biomarker for sepsis-associated acute respiratory distress syndrome (ARDS). Recent research revealed:

  • Elevated plasma TNFRSF11B levels in sepsis-ARDS patients:

    • Significant increase compared to healthy controls

    • Peak plasma concentrations of 10-20 ng/mL observed

  • Association with vascular endothelial dysfunction:

    • Experimental validation in three models:

      • Patient plasma samples

      • LPS-induced mouse models

      • LPS-stimulated HUVECs

For studying TNFRSF11B in sepsis-ARDS, researchers should consider:

  • In vitro experiments: Use 10 ng/mL TNFRSF11B to stimulate HUVECs and measure endothelial junction proteins

  • Protein assessment: Evaluate changes in syndecan-1, claudin-5, VE-cadherin, occludin, aquaporin-1, caveolin-1 (all decreased), and connexin-43 (increased) after TNFRSF11B stimulation

  • Functional assays: Measure endothelial permeability using transwell assays with fluorescent tracers

These investigations suggest TNFRSF11B could serve as both a predictive and diagnostic biomarker for vascular endothelial damage in sepsis-ARDS contexts .

What is the role of TNFRSF11B in cancer immunology, particularly in colorectal cancer?

TNFRSF11B plays a significant immunosuppressive role in colorectal cancer:

  • Prognostic significance:

    • Identified as an independent risk factor for colon cancer prognosis

    • Closely associated with tumor stage and lymph node metastasis

  • Immunosuppressive mechanisms:

    • Suppresses memory CD4+ T cell infiltration in the tumor microenvironment

    • Acts as a competitive inhibitor of the TNFSF11-TNFRSF11A pathway

    • Remodels the immune barrier of the colonic mucosa

  • Experimental validation methods:

    • Bioinformatic analysis: TCGA-COAD dataset (n=514) and single-cell RNA sequencing (290 colorectal cancer cells)

    • Immunohistochemistry: Validated in 86 patient samples

    • Flow cytometry: Demonstrated decreased infiltration of central memory CD4+ T cells and effector memory CD4+ T cells in colorectal cancer microenvironment (p<0.001)

Researchers investigating TNFRSF11B in cancer contexts should employ a multi-omics approach combining transcriptomics, proteomics, and functional assays to comprehensively characterize its immunomodulatory effects.

How does TNFRSF11B expression change in rheumatoid arthritis and following methotrexate treatment?

TNFRSF11B expression in rheumatoid arthritis (RA) shows distinct patterns compared to related molecules in the RANK/RANKL pathway:

  • Expression pattern in untreated early RA:

    • Detectable OPG expression in synovial tissue

    • Part of the RANK/RANKL/OPG axis dysregulation in RA pathophysiology

  • Response to methotrexate treatment:

    • RANKL: Significant decrease in mRNA levels and protein expression (both cellular and soluble)

    • OPG: No significant changes in mRNA or protein levels following methotrexate treatment

    • This differential response alters the RANKL/OPG ratio, potentially impacting osteoclastogenesis

  • Detection methods:

    • mRNA analysis: qRT-PCR for transcriptional changes

    • Protein detection: Western blot for cellular expression, ELISA for soluble factors

    • Tissue assessment: Immunohistochemistry of synovial biopsies with semi-quantitative double-blind microscopic analysis

These findings suggest that while methotrexate effectively reduces RANKL expression in RA, OPG levels remain relatively stable, potentially representing a homeostatic mechanism in bone metabolism regulation.

What are common technical challenges when working with TNFRSF11B antibodies and how can they be addressed?

Researchers may encounter several technical challenges when working with TNFRSF11B antibodies:

ChallengePotential SolutionRationale
Inconsistent detection in Western blotsOptimize antigen retrieval and denaturation conditionsTNFRSF11B contains disulfide bonds and may have post-translational modifications affecting epitope accessibility
Variable molecular weight detectionExpect 56 kDa band despite calculated 46 kDa weightPost-translational modifications affect migration
Background in immunohistochemistryUse TE buffer pH 9.0 for antigen retrieval and optimize antibody dilution (1:400-1:1600)Improves signal-to-noise ratio
Cross-reactivity concernsVerify specificity with appropriate positive controls (human milk for WB, rat kidney tissue for IHC)Validated control samples ensure antibody performance
Neutralization assay variabilityStandardize L-929 cell culture conditions and maintain consistent actinomycin D (0.5 μg/mL) concentrationCritical for reproducible ND50 values (0.15-0.3 μg/mL)

Additionally, researchers should consider that soluble TNFRSF11B may be present in biological fluids at varying concentrations (10-20 ng/mL in sepsis-ARDS patients) , potentially interfering with assays if not accounted for in experimental design.

How should researchers optimize TNFRSF11B antibody dilutions for different applications?

Optimal antibody dilutions vary by application technique and specific antibody used:

ApplicationRecommended Dilution RangeOptimization Strategy
Western Blot1:500-1:1000Start at manufacturer's recommendation (e.g., 1:1000) and adjust based on signal strength; use gradient dilutions to determine optimal concentration
Immunohistochemistry1:400-1:1600Begin with middle range (1:800) and adjust based on signal-to-background ratio; consider tissue-specific optimization
Immunofluorescence/ICC1:200-1:800Use more concentrated dilutions than WB due to typically lower sensitivity; optimize fixation method concurrently
Neutralization AssaysVariable (ND50 ~0.15-0.3 μg/mL)Titrate antibody concentrations against fixed amounts of recombinant TNFRSF11B (0.1 μg/mL) and TRAIL (50 ng/mL)

Each new lot of antibody and sample type may require re-optimization. Researchers should document optimization experiments thoroughly, including positive and negative controls, to ensure reproducibility across experiments.

What sample preparation considerations are important for accurate TNFRSF11B detection?

Proper sample preparation is critical for successful TNFRSF11B detection:

  • Protein extraction and preservation:

    • Include protease inhibitors in lysis buffers to prevent degradation

    • For tissue samples, rapid processing and flash-freezing help maintain protein integrity

    • Store samples at -20°C in PBS with 0.02% sodium azide and 50% glycerol (pH 7.3) for long-term stability

  • Specific preparation by application:

    • Western blot: Complete protein denaturation essential; consider non-reducing conditions if antibody recognizes conformational epitopes

    • IHC: Antigen retrieval critical—use TE buffer pH 9.0 or alternatively citrate buffer pH 6.0

    • Flow cytometry: When studying T cell subpopulations, use fresh samples and appropriate surface markers (e.g., CD45RO, CCR7) to distinguish central memory from effector memory CD4+ T cells

  • Sample source considerations:

    • Human milk has been validated for Western blot detection

    • HepG2 cells work well for immunofluorescence

    • When measuring plasma TNFRSF11B in sepsis-ARDS patients, be aware that concentrations may reach 10-20 ng/mL

What are the current hypotheses regarding TNFRSF11B's dual roles in bone metabolism and immune regulation?

TNFRSF11B functions extend beyond its canonical role in bone metabolism, with emerging evidence supporting its significant immunoregulatory functions:

  • Mechanistic intersection points:

    • TNFRSF11B acts as a decoy receptor for TNFSF11 (RANKL), competitively inhibiting TNFSF11-TNFRSF11A pathway activation

    • This pathway functions in both osteoclastogenesis and immune cell development/function

    • The TNFSF11/TNFRSF11A axis is critical for lymph node development, as knockout mice show impeded formation of secondary lymph nodes and Peyer's patches

  • Context-dependent immune effects:

    • Inflammatory balance: In rheumatoid arthritis, OPG levels remain stable despite methotrexate-induced RANKL reduction, potentially maintaining a protective effect against bone erosion

    • Colon cancer immunosuppression: TNFRSF11B remodels the colon mucosal immune barrier, alleviating local inflammation but potentially promoting tumor evasion

    • Sepsis-related vascular dysfunction: Elevated TNFRSF11B correlates with endothelial junction protein alterations that could affect immune cell trafficking

Future research should investigate the molecular switches that determine TNFRSF11B's function in different microenvironments and how these might be therapeutically manipulated.

How might TNFRSF11B serve as a biomarker or therapeutic target in inflammatory and neoplastic diseases?

TNFRSF11B shows significant potential as both a biomarker and therapeutic target:

  • Biomarker applications:

    • Sepsis-ARDS: Elevated plasma TNFRSF11B (10-20 ng/mL) correlates with vascular endothelial dysfunction, suggesting utility as a diagnostic and predictive biomarker

    • Colorectal cancer: High TNFRSF11B expression correlates with poorer prognosis, especially in TNM stage III disease, and decreased memory CD4+ T cell infiltration

    • Combined biomarker panels: TNFRSF11B could complement other inflammation markers for improved diagnostic precision

  • Therapeutic targeting strategies:

    • Neutralizing antibodies: Similar to the experimental antibody (clone 69146) that blocks TNFRSF11B activity in vitro

    • Pathway modulation: Targeting the TNFSF11/TNFRSF11A/TNFRSF11B axis to restore immune function in cancer microenvironments

    • Context-specific approaches: Inhibiting TNFRSF11B might benefit cancer immunotherapy by enhancing T cell infiltration, while augmenting it could help in inflammatory conditions

  • Translational challenges:

    • TNFRSF11B's dual roles in bone metabolism and immunity necessitate careful consideration of potential off-target effects

    • Patient stratification based on TNFRSF11B expression patterns may be necessary for effective targeting

Research exploring these applications should include appropriate control groups and comprehensive safety assessments given TNFRSF11B's diverse physiological roles.

What emerging experimental techniques might advance our understanding of TNFRSF11B biology?

Several cutting-edge techniques could significantly advance TNFRSF11B research:

  • Single-cell analysis approaches:

    • Single-cell RNA sequencing to map TNFRSF11B expression across different cell types and disease states

    • Mass cytometry (CyTOF) to simultaneously detect TNFRSF11B alongside multiple immune markers

    • These techniques would help identify previously unknown cell populations expressing or responding to TNFRSF11B

  • Advanced imaging methods:

    • Multiplex immunofluorescence to visualize TNFRSF11B in spatial context with other proteins

    • Intravital microscopy to observe TNFRSF11B-mediated interactions in living tissues

    • These approaches would provide insight into the spatial organization of TNFRSF11B-expressing cells within tissue microenvironments

  • Functional genomics:

    • CRISPR-Cas9 screening to identify genes that interact with TNFRSF11B signaling

    • Conditional knockout models to assess tissue-specific functions of TNFRSF11B

    • These tools would help delineate the complex regulatory networks governing TNFRSF11B expression and function

  • Protein interaction studies:

    • Proximity labeling techniques to identify novel TNFRSF11B binding partners

    • Structural biology approaches to understand the molecular basis of TNFRSF11B interactions

    • These methods would expand our understanding of TNFRSF11B beyond its canonical RANKL-binding activity

Implementing these advanced techniques would provide multi-dimensional insights into TNFRSF11B biology and potentially reveal novel therapeutic opportunities.

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