TNFSF11 Antibody

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Description

Biological Significance of TNFSF11

RANKL is a type II membrane protein that regulates osteoclast differentiation and activation, playing a central role in bone remodeling . It also modulates immune responses by promoting dendritic cell maturation and T-cell activation . Mutations in TNFSF11 have been linked to chronic hepatitis C infection, with variants potentially disrupting gene transcription and protein translation . RANKL’s antiapoptotic signaling via AKT/PKB pathways underscores its dual role in cell survival and immune regulation .

Applications of TNFSF11 Antibody

The antibody is used in diverse experimental settings:

  • Flow Cytometry: Detects RANKL in human PBMCs and HEK293 cells transfected with TNFSF11 (clone 685857) .

  • Western Blot (WB): Validated in Raji cells and human tissues (colon, stomach) .

  • Immunohistochemistry (IHC): Stains lymph node sections and cancer tissues (e.g., colon, heart) .

  • Neutralization Assays: Inhibits osteoclast-like cell formation in RAW 264.7 macrophages (IC50: 0.8–2.5 µg/mL) .

Research Findings

  • Immune Regulation: RANKL promotes ERK1/2 pathway activation, critical for HCV entry and chronic infection .

  • Bone Pathology: Antibodies neutralizing RANKL reduce osteoclast activity, offering therapeutic potential for bone diseases .

  • Cancer Research: TNFSF11 expression correlates with tumor microenvironment modulation in colon and stomach cancers .

Product Specs

Buffer
Liquid in PBS containing 50% glycerol, 0.5% BSA, and 0.02% sodium azide.
Form
Liquid
Lead Time
Typically, we can ship products within 1-3 business days after receiving your order. Delivery times may vary depending on the purchasing method or location. Please consult your local distributors for specific delivery time estimates.
Synonyms
TNFSF11; OPGL; RANKL; TRANCE; Tumor necrosis factor ligand superfamily member 11; Osteoclast differentiation factor; ODF; Osteoprotegerin ligand; Receptor activator of nuclear factor kappa-B ligand; TNF-related activation-induced cytokine; CD antigen CD254
Target Names
Uniprot No.

Target Background

Function
TNFSF11 Antibody is a cytokine that binds to TNFRSF11B/OPG and TNFRSF11A/RANK. It plays a crucial role in osteoclast differentiation and activation, acting as an osteoclast differentiation and activation factor. TNFSF11 Antibody enhances the ability of dendritic cells to stimulate naive T-cell proliferation. It may be a critical regulator of interactions between T-cells and dendritic cells, potentially playing a role in the regulation of the T-cell-dependent immune response. This antibody might also be a significant regulator of enhanced bone resorption in humoral hypercalcemia of malignancy. It induces osteoclastogenesis by activating multiple signaling pathways in osteoclast precursor cells. Notably, it induces long-lasting oscillations in the intracellular concentration of Ca(2+), activating NFATC1, which translocates to the nucleus and induces osteoclast-specific gene transcription, ultimately enabling the differentiation of osteoclasts. During osteoclast differentiation, in a TMEM64 and ATP2A2-dependent manner, TNFSF11 Antibody induces CREB1 activation and mitochondrial ROS generation, essential for proper osteoclast generation.
Gene References Into Functions
  1. RANK/RANKL have been identified as crucial regulators for BRCA1 mutation-driven breast cancer. Current preventive strategies for BRCA1 mutation carriers are associated with various risks; therefore, the pursuit of alternative, non-invasive approaches is of paramount importance. PMID: 29241686
  2. High RANKL expression is correlated with gastric cancer cell migration. PMID: 30015970
  3. Elevated levels of sRANKL in bronchoalveolar lavage fluid of non-small cell lung cancer patients may indicate a worse prognosis. PMID: 29052177
  4. The RANKL/OPG ratio was significantly higher in the prolactinoma group compared to the control group. PMID: 29895074
  5. RANKL mRNA expression was elevated in tumor tissue from patients with metastatic prostate cancer compared to localized disease. The RANKL/OPG ratio was low in normal prostate tissue and high in tumors with bone metastases. Expression was high in BPH tissue but did not exceed levels observed in tumor tissue. PMID: 29204705
  6. In cardiovascular risks, OPG serum levels may increase as a preventive compensatory mechanism to neutralize the RANKL level increment. 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
  7. sRANKL and OPG may contribute to the pathogenesis of diabetes as well as metabolic disturbances. PMID: 28146138
  8. Regulation of OSCAR by TNF-alpha and receptor activator of NF kappa beta ligand (RANKL) in pre-osteoclasts/osteoclasts. PMID: 28555364
  9. The -643C>T RANKL polymorphism, due to its significant influence on body weight and BMI value, may contribute to the development of Osteoporosis in Postmenopausal women. PMID: 27304650
  10. In this study, we measured RANKL expression in human periosteum-derived cells (hPDCs) undergoing osteoblastic differentiation and found that RANKL mRNA expression was significantly increased in these cells in a time-dependent manner. RANKL protein expression was also notably enhanced in osteogenic-conditioned media from hPDCs undergoing osteoblastic differentiation. PMID: 29200953
  11. MiR-217 is a valuable diagnostic biomarker and is involved in human podocyte cell apoptosis via targeting TNFSF11 in membranous nephropathy. PMID: 29214160
  12. rs9525641 may contribute to bone mineral density. PMID: 28488893
  13. Vascular smooth cells are a significant source of osteoprotegerin within the vasculature, but RANKL, once present, downregulates this production and appears capable of preventing the "protective" upregulation of OPG seen with VSMCs exposed to physiological levels of cyclic strain. PMID: 29635231
  14. Receptor activator for nuclear factor-kappa B ligand (RANKL), secreted by human embryonic trophoblasts and maternal decidual stromal cells, polarizes decidual macrophages toward a M2 phenotype. PMID: 29022922
  15. There were no significant associations involving the RANKL gene. Thus, it is suggested that alterations in the OPG and RANK genes are primarily responsible for altering the function and expression of the RANKL ligand, resulting in a predisposition to chronic arthralgia and comorbid temporomandibular OA. PMID: 28464982
  16. 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
  17. This study demonstrated the association of the -643C > T polymorphism with bone mineral density variation and osteoporosis risk in postmenopausal Tunisian women. PMID: 28453307
  18. Down-regulated miR-143-5p promotes the differentiation of DPSCs into odontoblasts by enhancing Runx2 expression via the OPG/RANKL signaling pathway. PMID: 28608628
  19. 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), RANKL/OPG ratio was significantly decreased (fold change = 0.50, p = 0.020). No significant differences were found between patients and controls in RANKL and TRAIL expression. PMID: 27403809
  20. Results show that pro-inflammatory cytokines upregulated SOX5 and RANKL expression in both synovial fibroblasts of patients with primary rheumatoid arthritis and cell line. IL-6 facilitates the binding of SOX5 to RANKL promoter. PMID: 27550416
  21. Higher concentrations of serum sRANKL were positively associated with the risk of estrogen receptor-positive breast cancer. PMID: 28701332
  22. RANKL is overexpressed in invariant NKT cells in the bone marrow of patients with multiple myeloma. PMID: 27834938
  23. Triple-negative breast cancer (TNBC) patients expressing both RANK and RANKL proteins had significantly worse RFS and OS than patients with RANK-positive, RANKL-negative tumors. RANKL was an independent, poor prognostic factor for RFS and OS in multivariate analysis in samples that expressed both RANK and RANKL. PMID: 28417335
  24. Findings suggest that cell-autonomous activation of the RANKL/RANK signaling axis is a convergently shared, non-oncogenic addiction underlying the generation and maintenance of CSC-like states in response to diverse molecular events such as BRCA1 haploinsufficiency and EMT phenomena. PMID: 28388533
  25. 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
  26. There was no significant difference in GCF RANKL values among groups (P > 0.05) or during the observation period (P > 0.008). The use of BP may be effective in preventing periodontal breakdown by controlling the levels of these markers in osteoporosis as an adjunct to periodontal treatment. PMID: 28367895
  27. Data report that in postmenopausal women without known genetic predisposition, high RANKL serum levels stratify a subpopulation of women at high risk of developing breast cancer 12-24 months before diagnosis. PMID: 28002811
  28. Data suggest that STAT6 and RANKL are involved in the regulation of apoptosis, gene expression, and cell proliferation in hepatocellular carcinoma cell lines; depletion of STAT6 using RNA interference increases apoptosis; this mechanism involves down-regulation of expression of RANKL. (STAT6 = signal transducer and activator of transcription 6; RANKL = receptor activator of nuclear factor kappa B ligand) PMID: 28525794
  29. Positivity of RANKL and anti-CCP2 yielded a significant risk for progression with negativity for both as reference. No single nucleotide polymorphism encoding TNFSF11 or SOST was associated with increased concentrations of the factors. PMID: 28190118
  30. The compound with the greatest potential is E05657, 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
  31. Our study suggests that the RANKL/RANK pathway contributes to the development and maintenance of the immunosuppressive tumor microenvironment, and denosumab may be a promising adjuvant therapy targeting TAMs in cancer of apocrine origin. PMID: 29277763
  32. RANKL/Osteoprotegerin have roles in bone turnover in Hashimoto Thyroiditis. PMID: 27328677
  33. This research provides clear evidence that TRAIL can block several key signaling actions of RANKL in vascular cells, providing further evidence of its vasoprotective potential. PMID: 29145460
  34. The main finding is that OPG levels decreased significantly during 8 weeks of alcohol abstinence. PMID: 27061293
  35. Studies have shown that the central hypothalamic-pituitary regulatory system, via its relative hormones, appears to control OPG/RANKL/RANK system function, and the pulsatility and circadian rhythmicity of these hormones may induce an oscillatory fluctuation of the OPG/ RANKL ratio. Additionally, psychological characteristics may provoke a shift of the OPG/ RANKL ratio towards an unbalanced or a balanced status. [review] PMID: 27862210
  36. Studies strongly implicate RANK and RANKL as key molecules involved in the initiation of BRCA1-associated breast cancer. [review] PMID: 27881737
  37. RANK is frequently expressed by cancer cells in contrast with RANKL, which is often detected in the tumor microenvironment, and together they participate in every step in cancer development. (Review) PMID: 27279652
  38. Proinsulin C-peptide prevents a reduction of type I collagen expression and decreases, in combination with insulin, receptor activator of nuclear factor-kappaB (RANKL) levels. PMID: 28007656
  39. The RANKL/OPG ratio significantly increased in the presence of bone metastasis with appropriate sensitivity and specificity (73% and 72%, respectively) at a cutoff of >/=0.14 for the detection of bone metastasis. Serum OPG and RANKL/OPG ratios are promising biomarkers for detecting bone metastasis in breast cancer patients. PMID: 27983911
  40. Correlations between sRANKL and IL-18 in BALF. PMID: 27826889
  41. RANK/RANKL signaling is involved in androgen deprivation therapy-induced acceleration of bone metastasis in castration-insensitive prostate cancer and is inhibited by osteoprotegerin to prevent bone metastasis. PMID: 28373003
  42. This study suggested that RANKL could be a marker to differentiate between pagetoid squamous cell carcinoma in situ and extramammary Paget disease. PMID: 27251225
  43. TNF-alpha-converting enzyme -mediated cleavage of soluble RANKL from activated lymphocytes, especially B cells, can promote osteoclastogenesis in periodontitis. PMID: 27815441
  44. RANKL is required for progesterone-mediated cell proliferation in BRCA1mut/+ breast tissue. PMID: 27322743
  45. Results show that RANK-L are overexpressed in human chronic periodontitis, which subsequently increases alveolar bone loss. PMID: 27992569
  46. MAOA provides tumor cell growth advantages in the bone microenvironment by stimulating interleukin-6 (IL6) release from osteoblasts, and triggers skeletal colonization by activating osteoclastogenesis through osteoblast production of RANKL and IL6. PMID: 28292438
  47. In this review, we will provide a summary of the biological functions of RANK signaling pathway (receptor activator of nuclear factor kappaB ligand RANKL and its receptor RANK) and downstream pathways in bone remodeling, immunity, and epithelial homeostasis, with a particular emphasis on cancer. PMID: 26749530
  48. The results showed that AG490 inhibited (p)-JAK2 and RANKL expression. PMID: 28278513
  49. Review: OPG, RANKL, and TRAIL are involved in vascular calcification. PMID: 26924459
  50. Our results suggest that the polymorphism of the RANKL, RANK, and OPG genes does not make a significant genetic contribution to heel ultrasound measurements in a population of young Caucasian adults. Further studies replicating the results in independent populations are needed to support these initial findings. PMID: 28252575

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Database Links

HGNC: 11926

OMIM: 259710

KEGG: hsa:8600

STRING: 9606.ENSP00000239849

UniGene: Hs.333791

Involvement In Disease
Osteopetrosis, autosomal recessive 2 (OPTB2)
Protein Families
Tumor necrosis factor family
Subcellular Location
[Isoform 1]: Cell membrane; Single-pass type II membrane protein.; [Isoform 3]: Cell membrane; Single-pass type II membrane protein.; [Isoform 2]: Cytoplasm.; [Tumor necrosis factor ligand superfamily member 11, soluble form]: Secreted.
Tissue Specificity
Highest in the peripheral lymph nodes, weak in spleen, peripheral blood Leukocytes, bone marrow, heart, placenta, skeletal muscle, stomach and thyroid.

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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 TNFSF11 and what are its alternative names in scientific literature?

TNFSF11 (Tumor necrosis factor ligand superfamily member 11) is known by several alternative names in scientific literature, including RANKL (Receptor activator of nuclear factor kappa-B ligand), TRANCE (TNF-related activation-induced cytokine), OPGL (Osteoprotegerin ligand), ODF (Osteoclast differentiation factor), and CD254. This 317-amino acid protein is encoded by the TNFSF11 gene and belongs to the tumor necrosis factor (TNF) cytokine family . When designing experiments or searching literature, researchers should use multiple search terms to ensure comprehensive coverage of relevant studies.

What are the key biological functions of TNFSF11 protein?

TNFSF11 functions as a critical cytokine that binds to TNFRSF11B (osteoprotegerin) and TNFRSF11A (RANK). Its primary biological roles include:

  • Osteoclast differentiation and activation factor

  • Enhancement of dendritic cell ability to stimulate naive T-cell proliferation

  • Regulation of interactions between T-cells and dendritic cells

  • Modulation of T-cell-dependent immune responses

  • Bone resorption in pathological conditions like humoral hypercalcemia of malignancy

Mechanistically, TNFSF11 induces osteoclastogenesis by activating multiple signaling pathways in osteoclast precursor cells. A key mechanism involves the induction of sustained oscillations in intracellular Ca²⁺ concentration, leading to NFATC1 activation, nuclear translocation, and subsequent transcription of osteoclast-specific genes .

What is the molecular structure of TNFSF11 and how does it exist in biological systems?

TNFSF11 exists in two primary forms:

  • Membrane-bound form (mRANKL): approximately 40-45 kDa

  • Soluble form (sRANKL): approximately 31 kDa

The membrane-bound form can be cleaved into the soluble form by metalloprotease-disintegrin TNF-alpha convertase (TACE) or related metalloproteases . The protein has a calculated molecular weight of 20.5 kDa but typically migrates as a 28-33 kDa protein on SDS-PAGE due to glycosylation . This discrepancy between theoretical and observed molecular weights is important for researchers to consider when interpreting western blot results.

What criteria should researchers use when selecting an appropriate TNFSF11 antibody for their experiments?

When selecting a TNFSF11 antibody, researchers should consider:

  • Target specificity: Verify the antibody recognizes the specific epitope of interest within TNFSF11

  • Species reactivity: Confirm reactivity with the species being studied (human, mouse, rat)

  • Antibody type: Determine whether polyclonal or monoclonal antibodies are more suitable for the application

  • Applications validated: Ensure the antibody has been validated for the intended application (WB, IHC, IF, ELISA, flow cytometry)

  • Clone information: For monoclonal antibodies, note the clone number (e.g., 685857)

  • Form and conjugation: Consider whether unconjugated or conjugated (e.g., PE-conjugated) formats are needed

For applications requiring precise epitope targeting, researchers should select antibodies raised against specific regions of TNFSF11, such as those targeting the C-terminal extracellular region .

How can researchers validate TNFSF11 antibodies before proceeding with experimental applications?

Validation of TNFSF11 antibodies should include:

  • Positive and negative controls: Use cell lines known to express TNFSF11 (e.g., Raji cells) as positive controls and appropriate negative controls

  • Specificity testing: Perform blocking experiments with recombinant TNFSF11 protein to confirm binding specificity

  • Cross-reactivity assessment: Test against related proteins in the TNF superfamily to confirm specificity

  • Multiple detection methods: Validate using orthogonal techniques (e.g., western blot and immunofluorescence)

  • Reproducibility testing: Ensure consistent results across multiple experiments

A robust validation protocol might include ELISA binding assays where immobilized TNFSF11 protein (2 μg/mL) is tested for binding with known interactors like RANK and Osteoprotegerin to verify functionality .

What dilution ranges are typically effective for different TNFSF11 antibody applications?

Optimal antibody dilutions vary by application and specific antibody preparation:

ApplicationTypical Dilution RangeNotes
Western Blot1:500-1:1000Sample-dependent; may require optimization
Immunohistochemistry1:50-1:500Antigen retrieval with TE buffer pH 9.0 or citrate buffer pH 6.0
Immunofluorescence1:100Validated on mouse tissue
Flow CytometryApplication-specificRequires titration for each specific antibody

Important note: These ranges are guidelines only. Each antibody should be titrated in each testing system to obtain optimal results, as the efficiency can be sample-dependent .

What are the recommended protocols for using TNFSF11 antibodies in immunohistochemistry applications?

For optimal immunohistochemistry results with TNFSF11 antibodies:

  • Tissue preparation: Use formalin-fixed, paraffin-embedded sections at 4-6 μm thickness

  • Antigen retrieval: Perform heat-induced epitope retrieval using TE buffer (pH 9.0) or alternatively citrate buffer (pH 6.0)

  • Blocking: Block endogenous peroxidase activity and non-specific binding sites

  • Primary antibody incubation: Apply TNFSF11 antibody at 1:50-1:500 dilution (optimized per antibody) and incubate overnight at 4°C

  • Detection system: Use appropriate detection system based on host species of primary antibody

  • Controls: Include positive controls (human stomach cancer tissue, human colon tissue, human heart tissue) and negative controls

  • Counterstaining: Counterstain with hematoxylin for nuclear visualization

The specific antigen retrieval method is critical for TNFSF11 detection and may need optimization depending on tissue type and fixation conditions.

How should researchers set up western blot experiments to detect TNFSF11 protein?

For western blot detection of TNFSF11:

  • Sample preparation: Extract proteins using RIPA buffer supplemented with protease inhibitors

  • Protein quantification: Determine protein concentration using Bradford or BCA assay

  • Gel electrophoresis: Load 20-40 μg protein per lane on 10-12% SDS-PAGE gel

  • Transfer: Transfer proteins to PVDF or nitrocellulose membrane

  • Blocking: Block membrane with 5% non-fat milk or BSA in TBST for 1 hour

  • Primary antibody: Incubate with TNFSF11 antibody (1:500-1:1000 dilution) overnight at 4°C

  • Secondary antibody: Apply HRP-conjugated secondary antibody for 1 hour at room temperature

  • Detection: Visualize using ECL substrate and imaging system

When interpreting results, note that TNFSF11 typically appears at 20-30 kDa on western blots, though the calculated molecular weight is 35 kDa. This discrepancy is due to glycosylation patterns . Raji cells can serve as positive controls for TNFSF11 expression.

What flow cytometry protocols are effective for detecting TNFSF11 expression in immune cells?

For flow cytometry detection of TNFSF11:

  • Cell preparation: Isolate peripheral blood mononuclear cells (PBMCs) and stimulate with PHA if detecting activated cells

  • Cell count adjustment: Adjust to 1×10⁶ cells per sample

  • Surface staining:

    • Wash cells in flow cytometry buffer (PBS with 1% BSA, 0.1% sodium azide)

    • Block Fc receptors with 10% normal serum

    • Stain with PE-conjugated anti-TNFSF11 antibody (e.g., clone 685857)

    • Co-stain with other markers as needed (e.g., anti-IL-2 Ra APC-conjugated for activated T cells)

  • Washing: Wash twice with flow cytometry buffer

  • Analysis: Analyze using appropriate flow cytometer with proper compensation controls

For detecting intracellular TNFSF11, add permeabilization and fixation steps using commercial kits before antibody staining.

What are common issues when using TNFSF11 antibodies and how can researchers address them?

Common issues and solutions when working with TNFSF11 antibodies include:

IssuePossible CausesSolutions
Weak or no signalInsufficient antigen, low antibody concentration, degraded antibodyIncrease antibody concentration, optimize antigen retrieval, check antibody storage conditions
High backgroundNon-specific binding, excessive antibody concentrationIncrease blocking time/concentration, reduce antibody concentration, include additional washing steps
Multiple bands in WBCross-reactivity, protein degradation, various glycosylation statesUse more specific antibody, add protease inhibitors, validate with positive controls
Inconsistent resultsAntibody degradation, technical variationsAliquot antibodies to avoid freeze-thaw cycles, standardize protocols

For TNFSF11 specifically, researchers should be aware that the protein exists in both membrane-bound (40-45 kDa) and soluble (31 kDa) forms, which can complicate western blot interpretation . Additionally, glycosylation causes the protein to migrate at 28-33 kDa despite its calculated MW of 20.5 kDa .

How should researchers interpret different molecular weight bands when detecting TNFSF11 by western blot?

When interpreting western blot results for TNFSF11, researchers should consider:

  • Expected molecular weights:

    • Calculated MW: 20.5 kDa

    • Observed MW: 28-33 kDa (due to glycosylation)

    • Membrane-bound form: 40-45 kDa

    • Soluble form: 31 kDa

  • Multiple bands may represent:

    • Different glycosylation states

    • Membrane-bound versus soluble forms

    • Proteolytic cleavage products

    • Dimeric or oligomeric forms

  • Validation approaches:

    • Compare to recombinant TNFSF11 protein control

    • Use multiple antibodies targeting different epitopes

    • Perform deglycosylation treatment to confirm glycosylation effects

    • Verify with known positive control samples (e.g., Raji cells)

What controls are essential when conducting TNFSF11 antibody-based experiments?

Essential controls for TNFSF11 antibody experiments include:

  • Positive tissue/cell controls:

    • Raji cells for western blot

    • Human stomach cancer tissue, human colon tissue, or human heart tissue for IHC

    • PHA-stimulated PBMCs for flow cytometry

  • Negative controls:

    • Isotype control antibodies (matching the host species and isotype)

    • Secondary antibody-only controls

    • Known TNFSF11-negative samples

  • Specificity controls:

    • Blocking with recombinant TNFSF11 protein

    • siRNA knockdown of TNFSF11

    • TNFSF11 knockout samples (when available)

  • Technical controls:

    • Loading controls for western blot (e.g., β-actin, GAPDH)

    • Housekeeping gene controls for qPCR

    • Internal staining controls for flow cytometry and IHC

How can TNFSF11 antibodies be used to investigate RANK/RANKL signaling pathways in osteoclastogenesis research?

For investigating RANK/RANKL signaling in osteoclastogenesis:

  • Co-immunoprecipitation studies:

    • Use anti-TNFSF11 antibodies to pull down protein complexes

    • Probe for associated proteins such as TRAF6, SRC kinase, and AKT/PKB

    • Assess interactions under different stimulatory conditions

  • Signaling pathway analysis:

    • Apply TNFSF11 to osteoclast precursors and use phospho-specific antibodies to track activation of:

      • NF-κB pathway components

      • Ca²⁺ signaling molecules

      • NFATC1 nuclear translocation

      • CREB1 activation

      • Mitochondrial ROS generation pathways

  • Functional assays:

    • Use neutralizing TNFSF11 antibodies to block signaling and assess impact on osteoclast formation

    • Combine with TRAP staining and bone resorption assays

    • Compare effects of blocking different epitopes to identify functional domains

This approach enables detailed mapping of the RANKL-induced signaling cascade that leads to osteoclast differentiation and can identify potential intervention points for bone disorders.

What methodological approaches can researchers use to study the role of TNFSF11 in immune cell interactions?

To investigate TNFSF11's role in immune cell interactions:

  • Dendritic cell-T cell co-culture systems:

    • Set up co-cultures of dendritic cells with naive T cells

    • Use TNFSF11 blocking antibodies or recombinant TNFSF11

    • Measure T cell proliferation (e.g., CFSE dilution assay)

    • Assess cytokine production profiles

    • Analyze T cell activation markers

  • Flow cytometry-based interaction studies:

    • Utilize PE-conjugated TNFSF11 antibodies to identify TNFSF11-expressing cells

    • Perform multi-parameter flow cytometry with markers for:

      • T cell activation (e.g., IL-2 Ra)

      • Dendritic cell maturation

      • Adhesion molecules

      • Intracellular signaling molecules

  • In vivo models with antibody intervention:

    • Administer anti-TNFSF11 antibodies in experimental models of immune response

    • Analyze changes in:

      • T cell-dependent antibody responses

      • Germinal center formation

      • Dendritic cell survival and function

      • Regulatory T cell development

These methodological approaches can elucidate TNFSF11's role as "an important regulator of interactions between T-cells and dendritic cells" and its function "in the regulation of the T-cell-dependent immune response" .

How can researchers design experiments to investigate the role of TNFSF11 in pathological conditions like hypercalcemia of malignancy?

To investigate TNFSF11's role in hypercalcemia of malignancy:

  • Expression analysis in pathological samples:

    • Use IHC with validated anti-TNFSF11 antibodies on tumor tissue microarrays

    • Quantify TNFSF11 expression levels in malignant versus normal tissues

    • Correlate expression with clinical parameters including serum calcium levels

  • In vitro bone resorption models:

    • Culture bone slices with conditioned media from tumor cells

    • Add anti-TNFSF11 neutralizing antibodies at varying concentrations

    • Measure resorption pit formation via microscopy

    • Quantify released bone degradation products (e.g., CTX-I)

  • Animal models with antibody intervention:

    • Establish tumor xenograft models known to induce hypercalcemia

    • Administer anti-TNFSF11 antibodies prophylactically or therapeutically

    • Monitor:

      • Serum calcium levels

      • Bone mineral density

      • Osteoclast numbers (TRAP staining)

      • Tumor burden and osteolytic lesions (μCT imaging)

  • Signaling pathway analysis in tumor samples:

    • Perform multiplexed immunofluorescence to co-localize TNFSF11 with:

      • Tumor markers

      • Osteoclast precursor markers

      • Activated signaling molecules (phospho-proteins)

These approaches can help delineate TNFSF11's "important role in enhanced bone-resorption in humoral hypercalcemia of malignancy" and potentially identify therapeutic targets.

What techniques can be used to distinguish between membrane-bound and soluble forms of TNFSF11 in experimental systems?

To differentiate between membrane-bound and soluble TNFSF11:

  • Biochemical separation techniques:

    • Ultracentrifugation to separate membrane fractions

    • Sequential protein extraction protocols to isolate membrane-associated versus soluble proteins

    • Follow with western blot analysis using TNFSF11 antibodies to detect:

      • Membrane form (40-45 kDa)

      • Soluble form (31 kDa)

  • ELISA-based approaches:

    • Develop sandwich ELISA systems using capture/detector antibody pairs

    • Design assays that specifically detect soluble TNFSF11 in cell culture supernatants or biological fluids

    • Compare levels across different experimental conditions or disease states

  • Flow cytometry with differential staining:

    • Surface staining protocols to detect membrane-bound TNFSF11

    • Combine with measurements of soluble TNFSF11 in supernatants

    • Use PE-conjugated antibodies for higher sensitivity

  • Metalloprotease inhibition studies:

    • Apply TACE/metalloprotease inhibitors to block cleavage

    • Monitor changes in membrane-bound versus soluble forms

    • Correlate with functional outcomes in osteoclastogenesis assays

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