WIF1 Antibody, FITC conjugated

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Description

Role in Wnt Signaling Regulation

WIF1 inhibits Wnt signaling by sequestering extracellular Wnt ligands, preventing their interaction with Frizzled receptors . This activity is critical in maintaining cellular homeostasis and suppressing tumorigenesis. The FITC-conjugated antibody enables precise detection of WIF1 protein levels in:

  • Cancer studies: Epigenetic silencing of WIF1 via promoter hypermethylation is linked to invasive bladder, lung, and colorectal cancers . Restoring WIF1 expression in cancer cell lines (e.g., T24, TSU-PR1) induces G<sub>1</sub> cell cycle arrest by downregulating SKP2 and c-myc, and upregulating p21/WAF1 and p27/Kip1 .

  • Developmental biology: WIF1 regulates mesoderm segmentation and tissue maintenance .

Detection Methods

The antibody is validated for:

MethodDilutionSample TypesKey Findings
WB1:300–5000 Human, Mouse, Rat lysatesDetects a 41 kDa band corresponding to WIF1 .
IF/FCVendor-specificTissue sections, cellsVisualizes WIF1 localization in podocytes or cancer cells .
IP1:60–1:1000 Cell lysatesConfirms WIF1 interaction with Wnt ligands (e.g., Wnt1) .

Cancer Biology

  • Bladder Cancer: Overexpression of WIF1 in T24 and TSU-PR1 cells reduces SKP2 and c-myc expression, leading to p27/Kip1 accumulation and G<sub>1</sub> arrest .

  • Osteosarcoma: Loss of WIF1 expression correlates with β-catenin accumulation and Wnt/TCF activation, promoting tumor growth .

Kidney Disease

  • Podocyte Dysfunction: Podocyte-specific WIF1 deletion exacerbates fibrosis in murine models of diabetic nephropathy and ureteral obstruction. Systemic WIF1 delivery reverses fibrosis by suppressing Wnt/β-catenin signaling .

Mechanistic Insights

  • SKP2 Regulation: WIF1 downregulates SKP2 (a component of the SCF E3 ligase complex), stabilizing p27/Kip1 and inhibiting cell cycle progression .

  • Wnt Target Gene Suppression: WIF1 reduces TCF/LEF-dependent transcription of SKP2, CD44, and CCND1, which are linked to metastasis and fibrosis .

Critical Considerations

  1. Species-Specific Validation: Ensure cross-reactivity aligns with experimental models (e.g., Novus’s RM0144-3M51 is validated for Mouse, while Bioss’s antibody covers Human, Mouse, Rat) .

  2. Dilution Optimization: Titrate antibody concentrations for WB (1:300–5000) or IF/FC to minimize background noise .

  3. Storage Stability: Aliquot and store at -20°C to preserve FITC fluorescence and antibody activity .

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
We typically dispatch orders within 1-3 working days of receipt. Delivery times may vary depending on the purchasing method and location. For specific delivery details, please consult your local distributors.
Synonyms
WIF-1 antibody; wif1 antibody; WIF1_HUMAN antibody; Wnt inhibitory factor 1 antibody
Target Names
Uniprot No.

Target Background

Function
WIF1 Antibody, FITC conjugated binds to WNT proteins and inhibits their activities. This antibody may be involved in mesoderm segmentation.
Gene References Into Functions
  1. WIF1 methylation may serve as a potential prognostic marker for patients diagnosed with chondrosarcoma. PMID: 28484252
  2. Research indicates that HOXC6 plays a significant role in the progression and prognosis of human glioma. It promotes glioma U87 cell growth through the WIF-1/Wnt signaling pathway. PMID: 30228024
  3. Studies have shown that the upregulation of WIF1 induces autophagy in non-small cell lung cancer (NSCLC) cells. WIF1-mediated autophagy inhibits Wnt/betacatenin signaling by downregulating Dvl2, which contributes to the inhibition of proliferation and promotion of apoptosis in NSCLC cells. PMID: 29916529
  4. WIF-1 gene methylation is associated with the pathogenesis of multiple human tumors. PMID: 29970693
  5. Research suggests that the expression of WIF-1 is low in GBC cells due to aberrant hypermethylation of its promoter region. Additionally, an alternative pathogenesis of GBC has been identified where c-Jun causes hypermethylation of the WIF-1 promoter region, repressing the expression of WIF-1 through transcriptional regulation and interaction with DNMT1. This appears to be an early event in the tumorigenesis of GBC. PMID: 29693707
  6. miR-590-3p regulates colon cancer progression via WIF1 and DKK1, suggesting that it may be a promising candidate for therapeutic applications in colon cancer treatment. PMID: 29164578
  7. A loss-of-function mutation in WIF1 (NM_007191 p.W15*), involved in mesoderm segmentation, has been identified as the suspected cause of the Nail-Patella-like disorder observed in a specific family. PMID: 28383544
  8. Findings indicate that down-regulated INTS6 expression is associated with a poorer prognosis in hepatocellular carcinoma (HCC) patients. This newly identified INTS6/WIF-1 axis provides insight into the molecular mechanism of HCC and may represent a therapeutic target in HCC patients. PMID: 28899352
  9. The promoters of WIF1, NLK, and APC are highly methylated in nasopharyngeal cancers (NPC) and gastric carcinoma (GC) cell lines. These genes are also regulated by miR-BART19-3p expressed by Epstein-Barr virus (EBV). Expression of these genes is strongly affected by hypermethylation. In EBV-associated tumors, the expression of these genes is also affected by miR-BART19-3p. PMID: 28543390
  10. Data shows a significant increase in the frequency of WIF-1 hypermethylation in non-small cell lung cancer (NSCLC) specimens compared with normal lung tissue. WIF-1 hypermethylation is predominant in squamous cell carcinoma (SCC), suggesting that WIF-1 methylation contributes to the development of NSCLC, especially SCC. [review] PMID: 27911280
  11. Research supports the hypothesis that Wnt inhibitory factor 1 (WIF1) is crucial as a negative regulator of the functions of endothelial cells in angiogenesis and that hypoxia plays a key role in controlling WIF1 expression and angiogenesis. PMID: 26994065
  12. Data suggests that total cellular b-catenin levels decrease in the presence of secreted frizzled-related protein 1 and Wnt inhibitory factor 1. A significant increase in cell death after tyrosine kinase inhibitor treatment is observed. Conversely, when secreted frizzled-related protein 1 is suppressed, total b-catenin levels increase in the cell, and the cells become resistant to tyrosine kinase inhibitors. PMID: 28468589
  13. Gallbladder cancer patients with hypermethylated WIF-1 exhibited worse overall survival than those with hypomethylated WIF-1. PMID: 28438695
  14. In astrocytoma specimens, tumor areas with numerous single cells were identified which strongly express Wif-1. PMID: 28040794
  15. Hypermethylation of WIF1 (WNT inhibitory factor 1) and NPY (neuropeptide Y) genes was significantly higher in tumor tissue compared to normal tissue, independently of tumor stage. PMID: 27251038
  16. Expression levels of WIF-1 were low in gallbladder cancer tumor tissues and the GBC-SD, SGC-996, and NOZ gallbladder cancer cell lines. This low expression was associated with the methylation status of the WIF-1 gene promotor. PMID: 27430608
  17. Promoter hypermethylation of WIF1 plays an important role in the carcinogenesis of lung cancer. PMID: 27930522
  18. HOTAIR can affect the radiosensitivity of pancreatic ductal adenocarcinoma (PDAC) cells, partly via regulating the expression of WIF-1. The HOTAIR-WIF-1 axis is a potential target for PDAC radiotherapy. PMID: 26482614
  19. Beta-catenin expression may also be a poor prognostic factor for cervical cancer (CC) while WIF1 could be a potential drug target for treatment of advanced CC. PMID: 27843945
  20. Reduced expression of Wif-1 and increased expression of beta-catenin may be involved in the pathogenesis of childhood acute lymphoblastic leukemia (ALL). PMID: 27655540
  21. Results provide evidence that WIF1 is frequently methylated in oral squamous cell carcinoma (OSCC), but not in oral submucous fibrosis tissues, which results in reduced expression. This epigenetic biomarker can be used for the early detection of OSCC. PMID: 26352791
  22. WIF-1 down-regulation may promote tumor cells invasion and metastasis in salivary gland adenoid cystic carcinoma. PMID: 26405993
  23. Loss of WIF1 enhances the migratory potential of glioblastoma through WNT5A that activates the WNT/Ca(2+) pathway and MALAT1. PMID: 25772239
  24. WIF1 has a role in breast neoplasms: its inhibition significantly relieves the cancer stem cell-limiting effects of dietary compound isoliquiritigenin. PMID: 25918249
  25. Data show that the WIF domain of Wnt Inhibitory Factor 1 (WIF1) is bound by C-terminal domains of Wnt proteins Wnt5a and Wnt7a at two sites. PMID: 26342861
  26. Detection of methylated Wif-1 in either S or U has a higher performance accuracy compared to guaiac FOBT for advanced colorectal neoplasia screening. PMID: 25025467
  27. miR-603 regulates glioma development via Wnt-beta-cateninn signaling pathway and its WIF1 and CTNNBIP1 targets. PMID: 25681036
  28. Further evaluation of the methylation of DACH1, DKK1, and WIF1 in a clinical patient group confirmed the frequent methylation of WIF1 and intermediate or low frequency of methylation of DACH1 or DKK1, respectively. PMID: 25487617
  29. Altered expression of genes associated with telomere maintenance and cell function of human vascular endothelial cell at elevated temperature. PMID: 25142166
  30. Aberrant methylation of APC gene was statistically significantly associated with age over 50, DDK3 with male, SFRP4, WIF1, and WNT5a with increasing tumor stage. SFRP4 and WIF1 were associated with tumor differentiation and SFRP2 and SFRP5 with histological type. PMID: 25107489
  31. Coexpression of SFRP1 and WIF1, rather than SFRP1 or WIF1 alone, could be used, together with low TNM stage, as a prognostic predictor of favorable outcomes in CRC. PMID: 24949429
  32. MicroRNA-181a promotes tumor growth and liver metastasis in colorectal cancer by targeting the tumor suppressor WIF-1. PMID: 24755295
  33. WIF-1 is frequently methylated and that Wnt5a acts as a tumor suppressor gene in colorectal carcinoma. PMID: 24833087
  34. Genetic alterations of beta-catenin and epigenetics-related Wif-1 promoter hypermethylation may be important mechanisms underlying adrenocortical tumor formation. PMID: 24755523
  35. WIF1 downregulation is a frequent event in salivary gland carcinoma ex-pleomorphic adenoma. PMID: 24853424
  36. Melanocytes express WIF-1 constitutively in vivo and in vitro and that WIF-1 promotes melanogenesis in normal human melanocytes. PMID: 24131586
  37. WIF-1 is downregulated and functions as a tumor suppressor by antagonizing Wnt/beta-catenin signaling in neuroblastoma. PMID: 24561119
  38. Wif1 methylation showed an association with unfavorable prognosis of adenocarcinoma (AC) patients with EGFR mutation. PMID: 23686431
  39. Promoter methylation of WIF1, PENK, and NPY is associated with colorectal adenocarcinoma (CRC) diagnosis and can be used to differentiate CRC from other cancers. PMID: 24289328
  40. HOTAIR directly decreased WIF-1 expression by promoting its histone H3K27 methylation in the promoter region and then activated the Wnt/beta-catenin signaling pathway. PMID: 24118380
  41. Significantly higher methylation was observed in genes NTKR1, GATA4, and WIF1 in the ovarian cancer group compared with the control group. PMID: 23746174
  42. WIF1 expression is downregulated by promoter methylation and is an important mechanism of aberrant WNT/beta-catenin pathway activation in astrocytoma pathogenesis. PMID: 23328978
  43. The miR-29 family (miR-29a, -29b, and -29c) suppresses the Wnt signaling pathway through demethylation of WIF-1 in non-small-cell lung cancer. PMID: 23939044
  44. In vivo data supports the involvement of Wnt signaling in the development of aortic stenosis. This suggests that circulating Wnt modulators such as WIF1 should be further investigated as risk markers in larger aortic stenosis populations. PMID: 23316316
  45. WIF1 is a marker of interfollicular keratinocyte stem cells and inhibits their cell cycle progression even with Wnt3 signaling. PMID: 23358094
  46. Loss of WIF-1 expression due to methylation is related to aggressiveness of sporadic breast cancer. PMID: 23417837
  47. It has been shown that WIF-1 downregulation is involved in melasma development due to the stimulation of melanogenesis and melanosome transfer through upregulation of the canonical and the noncanonical Wnt signaling pathway. PMID: 22951732
  48. This study demonstrated that Wnt inhibitory factor-1 regulates glioblastoma cell cycle and proliferation. PMID: 22901505
  49. Epigenetic inactivation of Wnt inhibitory factor-1 is associated with esophageal squamous cell carcinoma. PMID: 23193918
  50. A Wnt-binding site of the WIF-domain of WIF1 was localized. Substitution of some residues of WIF resulted in an increased affinity for Wnt5a, but decreased affinity for Wnt3a, suggesting that these residues may define the specificity of WIF for Wnts. PMID: 22986341

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Database Links

HGNC: 18081

OMIM: 605186

KEGG: hsa:11197

STRING: 9606.ENSP00000286574

UniGene: Hs.284122

Subcellular Location
Secreted.

Q&A

What is WIF1 and what is its biological significance?

WIF1 (Wnt Inhibitory Factor 1) is a secreted protein that acts as an antagonist of the Wnt signaling pathway. It binds directly to Wnt proteins, preventing their interaction with receptor complexes and thereby inhibiting downstream signaling cascades. WIF1 plays a critical role in regulating various cellular processes including cell proliferation, differentiation, and migration through its modulation of Wnt signaling . Studies have demonstrated that WIF1 binds specifically to Wnt1 and inhibits the growth of invasive bladder cancer cell lines via induction of G1 arrest . This G1 arrest is associated with down-regulation of SKP2 and c-myc and up-regulation of p21 and p27, indicating WIF1's importance in cell cycle regulation .

What are the main applications of FITC-conjugated WIF1 antibodies in research?

FITC-conjugated WIF1 antibodies are primarily used in immunofluorescence microscopy and flow cytometry applications to visualize and quantify WIF1 expression in various cell types and tissues. These applications enable researchers to:

  • Detect cellular localization and expression patterns of WIF1 protein

  • Analyze WIF1 expression in normal versus pathological samples

  • Monitor changes in WIF1 levels following experimental interventions

  • Investigate co-localization with other proteins of interest

The fluorescent nature of FITC allows for highly sensitive detection of WIF1 protein, making these conjugated antibodies valuable tools for researchers studying Wnt signaling pathways and related diseases .

What is the standard protocol for using FITC-conjugated WIF1 antibody in immunofluorescence studies?

Standard immunofluorescence protocol for FITC-conjugated WIF1 antibody:

  • Sample preparation: Fix cells or tissue sections with 4% paraformaldehyde for 15-20 minutes at room temperature

  • Permeabilization: Use 0.1-0.5% Triton X-100 for 5-10 minutes (for intracellular targets)

  • Blocking: Incubate samples with 5% normal serum or BSA for 30-60 minutes to reduce non-specific binding

  • Primary antibody incubation: Apply FITC-conjugated WIF1 antibody at the recommended dilution (typically 1:100 to 1:500) and incubate for 1-2 hours at room temperature or overnight at 4°C in a dark, humidified chamber

  • Washing: Perform 3-5 washes with PBS to remove unbound antibody

  • Nuclear counterstaining: Use DAPI (1:1000) for 5 minutes to visualize nuclei

  • Mounting: Apply anti-fade mounting medium and seal with nail polish

  • Imaging: Visualize using appropriate filter sets for FITC (excitation ~495 nm, emission ~519 nm)

When analyzing results, researchers should include appropriate positive controls (tissues known to express WIF1, such as HeLa cells, mouse lung, mouse stomach, rat lung, or rat stomach) and negative controls (secondary antibody only) .

How can WIF1 antibodies be used to investigate the role of WIF1 in the Wnt/β-catenin signaling pathway?

WIF1 antibodies can be strategically employed to investigate the Wnt/β-catenin pathway through several sophisticated approaches:

  • Co-immunoprecipitation studies: WIF1 antibodies can be used to pull down WIF1-Wnt protein complexes to verify binding partners. This approach has confirmed that WIF1 directly binds to Wnt1, as demonstrated in studies where concentrated conditioned medium was immunoprecipitated with protein A-agarose and anti-human IgG, then probed with anti-Wnt1 antibody .

  • Pathway activation assessment: Following WIF1 overexpression or knockout, researchers can use WIF1 antibodies alongside β-catenin antibodies to track pathway changes. Studies have shown that WIF1 overexpression reduces cytoplasmic, nuclear, and total β-catenin expressions, similar to effects observed with the β-catenin inhibitor XAV-939 .

  • Dual immunofluorescence: FITC-conjugated WIF1 antibodies can be paired with differently labeled antibodies against other pathway components (e.g., β-catenin) to visualize their spatial relationships within cells. Immunofluorescence studies have demonstrated that β-catenin fluorescence intensity can be significantly reduced by WIF1 overexpression .

  • Temporal dynamics analysis: Using WIF1 antibodies in time-course experiments to monitor how WIF1 expression changes in response to Wnt pathway stimulation or inhibition.

These approaches have revealed that WIF1 blocks the Wnt/β-catenin signaling pathway and reduces matrix metalloproteinase (MMP) secretion, with significant decreases in MMP-1, MMP-3, and MMP-13 levels following WIF1 overexpression .

What are the considerations for optimizing FITC-conjugated WIF1 antibody signal in flow cytometry?

Optimizing FITC-conjugated WIF1 antibody signal in flow cytometry requires careful attention to several technical parameters:

  • Antibody titration: Determine the optimal antibody concentration through titration experiments (typically ranging from 1:100 to 1:1000) to maximize signal-to-noise ratio .

  • Compensation settings: Since FITC has spectral overlap with other fluorophores (particularly PE), proper compensation is essential when using multiple fluorescent markers.

  • Fixation and permeabilization optimization:

    • For surface WIF1 detection: Gentle fixation (1-2% paraformaldehyde)

    • For intracellular WIF1: Test different permeabilization reagents (saponin, Triton X-100, methanol) to determine which provides optimal antibody access while preserving epitope recognition

  • Signal amplification: For low-abundance WIF1 detection, consider:

    • Biotin-streptavidin amplification systems

    • Tyramide signal amplification

    • Secondary antibody approaches if using unconjugated primary antibodies

  • Controls:

    • FMO (Fluorescence Minus One) controls

    • Isotype controls (IgG-FITC) to assess non-specific binding

    • Positive controls: HeLa cells, mouse lung, or rat lung tissues known to express WIF1

    • Blocking peptide controls to confirm specificity

  • Sample preparation considerations:

    • Fresh vs. frozen samples

    • Enzymatic digestion protocols for tissue samples

    • Cell culture conditions prior to analysis (WIF1 expression can be modulated by various factors)

These optimization steps are particularly important when studying changes in WIF1 expression in contexts such as cancer progression or cellular responses to experimental treatments.

How can FITC-conjugated WIF1 antibodies be used to investigate WIF1's role in cancer progression?

FITC-conjugated WIF1 antibodies offer several sophisticated approaches to investigate WIF1's role in cancer progression:

  • Epigenetic silencing assessment: Since WIF1 silencing through hypermethylation is associated with tobacco smoking and invasive bladder cancer , researchers can use FITC-conjugated WIF1 antibodies to:

    • Compare WIF1 protein expression in normal versus malignant tissues

    • Correlate WIF1 expression with methylation status of the WIF1 promoter

    • Track WIF1 re-expression following demethylating agent treatment

  • Cell cycle regulation studies: WIF1 has been shown to induce G1 arrest associated with down-regulation of SKP2 and c-myc and up-regulation of p21/WAF1 and p27/Kip1 . Flow cytometry with FITC-WIF1 antibodies can be combined with cell cycle markers to:

    • Identify cell populations with varying WIF1 expression levels

    • Correlate WIF1 expression with cell cycle distribution

    • Assess how WIF1 restoration affects cancer cell proliferation

  • Metastasis research: Using FITC-WIF1 antibodies in immunofluorescence imaging of tissue sections to:

    • Examine WIF1 expression at invasive fronts versus tumor cores

    • Analyze correlation between WIF1 expression and epithelial-mesenchymal transition markers

    • Investigate WIF1's relationship with extracellular matrix remodeling

  • Therapeutic response monitoring: Track changes in WIF1 expression following treatment with:

    • Wnt pathway inhibitors

    • Epigenetic modifiers

    • Conventional chemotherapeutics

    • Targeted therapies

Research has demonstrated that both ectopic expression of WIF1 and treatment with WIF1 domain protein result in cancer cell growth inhibition via G1 arrest, suggesting WIF1's potential as a therapeutic target or biomarker in cancer .

What controls should be included when using FITC-conjugated WIF1 antibodies in research?

A comprehensive control strategy is essential for experiments using FITC-conjugated WIF1 antibodies:

  • Antibody specificity controls:

    • Blocking peptide control: Pre-incubate antibody with the immunizing peptide (amino acids 280-379 of human WIF1) before application to samples

    • Knockout/knockdown controls: Compare staining between WIF1-expressing and WIF1-depleted samples

    • Overexpression control: Use cells transfected with WIF1 cDNA as positive controls

  • Technical controls:

    • Isotype control: Use FITC-conjugated rabbit IgG at the same concentration to assess non-specific binding

    • Secondary antibody only: For protocols using indirect detection

    • Autofluorescence control: Unstained sample to determine background fluorescence

    • Fluorophore compensation controls: When multiplexing with other fluorescent markers

  • Biological controls:

    • Positive tissue controls: Known WIF1-expressing tissues such as HeLa cells, mouse lung, mouse stomach, rat lung, and rat stomach

    • Negative tissue controls: Tissues with minimal WIF1 expression

    • Treatment validation controls: Include XAV-939 (β-catenin inhibitor) treated samples as a comparative control for Wnt pathway inhibition

  • Application-specific controls:

    • Flow cytometry: FMO (Fluorescence Minus One) controls

    • Western blotting: Molecular weight markers to confirm the 42 kDa WIF1 band size

    • Immunoprecipitation: IgG control pull-downs

These controls ensure reliable and interpretable results when investigating WIF1 expression and function in various experimental contexts.

What are the key differences between using WIF1 antibodies for Western blotting versus immunofluorescence?

ParameterWestern BlottingImmunofluorescence
Sample preparationDenatured protein extractsFixed cells/tissues with preserved structures
Recommended dilution1:500-1:1000 Typically 1:100-1:500
Detectable epitopesLinear epitopesConformational epitopes accessible in fixed state
Output dataBand at 42 kDa (observed MW) Spatial distribution of protein
Primary applicationQuantifying total protein levelsVisualizing cellular localization
Signal amplificationThrough chemiluminescence or secondary antibodyDirect visualization with FITC conjugation
Controls neededLoading controls (β-actin), MW markersIsotype controls, DAPI nuclear counterstain
Sample compatibilityCell lysates, tissue homogenates, concentrated conditioned medium Fixed cells, tissue sections, frozen sections
Key considerations- Complete protein denaturation
- Efficient transfer
- Blocking optimization
- Appropriate MW detection
- Fixation optimization
- Permeabilization protocol
- Antigen retrieval
- Photobleaching prevention
Complementary techniquesImmunoprecipitation, ELISAConfocal microscopy, FACS

For Western blotting, researchers should be aware that the calculated molecular weight of WIF1 is 42 kDa, which matches the observed molecular weight in validated experiments . When analyzing secreted WIF1, concentrated conditioned medium should be used, as demonstrated in studies examining WIF1-Wnt1 interactions .

How can researchers troubleshoot weak or non-specific signals when using FITC-conjugated WIF1 antibodies?

Troubleshooting weak signals:

  • Antibody concentration issues:

    • Increase antibody concentration (start with 2-fold increases)

    • Extend primary antibody incubation time (overnight at 4°C)

    • Verify antibody storage conditions (avoid freeze-thaw cycles)

  • Sample preparation optimization:

    • Try different fixation methods (paraformaldehyde, methanol, acetone)

    • Optimize permeabilization (test different detergents and concentrations)

    • Implement antigen retrieval methods (heat-induced, enzymatic)

  • Signal enhancement strategies:

    • Use signal amplification systems (e.g., tyramide signal amplification)

    • Apply anti-FITC secondary antibodies for signal boosting

    • Adjust instrument settings (exposure time, gain, laser power)

  • Biological considerations:

    • Verify WIF1 expression in your sample type (check literature for expected expression)

    • Consider that WIF1 is often downregulated in cancer through epigenetic silencing

    • Try positive control samples with known WIF1 expression (HeLa, mouse lung)

Troubleshooting non-specific signals:

  • Reducing background:

    • Increase blocking time/concentration (5-10% normal serum)

    • Add 0.1-0.3% Triton X-100 to antibody diluent

    • Include 0.1% BSA in wash buffers

    • Use longer/more frequent washing steps

  • Antibody specificity issues:

    • Perform blocking peptide controls

    • Test antibody on WIF1 knockout/knockdown samples

    • Try a different clone or source of WIF1 antibody

    • Consider pre-absorbing antibody with non-specific proteins

  • Sample-specific problems:

    • Reduce autofluorescence (treatment with sodium borohydride)

    • Address tissue-specific binding issues (liver, kidney tissues often show higher background)

    • Minimize fixation-induced fluorescence (shorter fixation times)

  • Imaging and analysis adjustments:

    • Set appropriate thresholds based on negative controls

    • Use spectral unmixing for overlapping fluorophores

    • Apply background subtraction algorithms during image analysis

When observing unexpected patterns, researchers should consult literature on WIF1's cellular localization, keeping in mind that WIF1 is primarily a secreted protein but may also be detected intracellularly during synthesis and processing.

How should researchers design experiments to investigate WIF1's role in reactive oxygen species (ROS) regulation?

Designing experiments to investigate WIF1's role in ROS regulation requires a carefully structured approach based on findings that WIF1 can eliminate ROS production in osteoarthritis chondrocytes :

  • Experimental models:

    • Cell culture systems: Primary chondrocytes, cancer cell lines with manipulated WIF1 expression

    • Animal models: Conditional WIF1 knockout or transgenic models

    • Human samples: Normal versus OA cartilage or cancer tissues with varying WIF1 expression

  • WIF1 manipulation approaches:

    • Gain-of-function: WIF1 cDNA transfection (as used in OA chondrocyte studies)

    • Loss-of-function: siRNA, shRNA, or CRISPR-Cas9 targeting WIF1

    • Recombinant protein: Administration of purified WIF1 domain protein

  • ROS measurement methods:

    • Fluorescent probes: DCFDA, DHE, MitoSOX for different ROS species

    • Luminescent assays: Lucigenin for superoxide detection

    • Biochemical assays: Glutathione ratio (GSH/GSSG) quantification

    • Protein oxidation: Measurement of protein carbonylation or lipid peroxidation

  • Experimental design:

    GroupTreatmentPurpose
    ControlUntreated cells/animalsBaseline ROS levels
    Positive controlNAC (5 mM)Known ROS scavenger
    WIF1 overexpressionWIF1 cDNA transfectionTest WIF1's effect on ROS
    WIF1 inhibitionWIF1 siRNA/shRNATest effect of WIF1 loss
    Stress conditionIL-1β treatmentInflammatory stimulus
    WIF1 + stressWIF1 overexpression + IL-1βTest if WIF1 protects against stress
    Wnt pathway inhibitionXAV-939Compare with direct Wnt inhibition
  • Downstream analysis:

    • Cell viability assays: MTT assay as used in OA chondrocyte studies

    • Apoptosis assessment: Flow cytometry with Annexin V-FITC/PI staining

    • Western blotting: For apoptosis-related proteins (cleaved caspase-3, cleaved PARP, Bax, Bcl-2)

    • Wnt pathway activation: β-catenin localization and transcriptional activity

  • Mechanistic investigation:

    • Determine if ROS regulation by WIF1 is dependent on or independent of Wnt signaling using parallel experiments with direct Wnt inhibitors (XAV-939)

    • Investigate NADPH oxidase activity as a potential mediator of WIF1's effect on ROS

    • Examine mitochondrial function and integrity following WIF1 manipulation

This experimental approach would provide comprehensive insights into WIF1's role in ROS regulation while distinguishing between Wnt-dependent and Wnt-independent mechanisms.

What approaches can be used to study the relationship between WIF1 and cell cycle regulation?

Multiple complementary approaches can be employed to study the relationship between WIF1 and cell cycle regulation, building on findings that WIF1 induces G1 arrest associated with SKP2/c-myc downregulation and p21/p27 upregulation :

  • Cell cycle analysis techniques:

    • Flow cytometry: Propidium iodide staining for DNA content analysis to determine cell cycle distribution

    • EdU incorporation: To measure S-phase entry and proliferation rates

    • Time-lapse microscopy: To track individual cell division times

    • Synchronization experiments: Using serum starvation or chemical inhibitors to align cell cycles

  • Molecular approaches for WIF1 manipulation:

    • Inducible expression systems: Tet-On/Off systems for controlled WIF1 expression

    • Domain-specific mutants: To identify which regions of WIF1 are critical for cell cycle effects

    • Dosage experiments: Titrating WIF1 expression or recombinant protein concentrations

    • Temporal expression studies: Examining acute versus chronic WIF1 expression effects

  • Mechanistic investigations:

    • Chromatin Immunoprecipitation (ChIP): To examine in vivo binding of TCF4 and β-catenin to the SKP2 promoter following WIF1 expression

    • Luciferase reporter assays: Using SKP2 promoter constructs to measure transcriptional regulation

    • Co-immunoprecipitation: To identify protein-protein interactions in the WIF1-Wnt-β-catenin-SKP2 axis

    • Kinase assays: Measuring CDK2 activity by assessing histone H1 phosphorylation

  • Cell cycle protein analysis:

    • Western blotting: For key regulators including:

      • Cyclins (D1, E, A)

      • CDK inhibitors (p21, p27)

      • SKP2 (shown to be downregulated by WIF1)

      • c-myc (shown to be downregulated by WIF1)

      • Phosphorylated Rb protein

    • Immunofluorescence: To examine subcellular localization of these proteins

    • Proteasomal degradation studies: To assess protein stability and turnover

  • Genetic rescue experiments:

    • Re-expressing SKP2 in WIF1-overexpressing cells (which has been shown to attenuate WIF1-induced G1 arrest)

    • CDK2 overexpression to bypass p21/p27 inhibition

    • Constitutively active β-catenin to rescue Wnt pathway inhibition

  • Comparative analysis:

    • Parallel experiments with direct inhibitors of:

      • Wnt pathway (XAV-939 or dominant-negative LEF1)

      • SKP2 (specific inhibitors)

      • CDK2 (selective chemical inhibitors)

These approaches would provide comprehensive insights into how WIF1 regulates the cell cycle, confirming whether its effects are primarily mediated through the Wnt/β-catenin/SKP2 axis or if additional mechanisms are involved.

What methods can be used to investigate the specificity of WIF1 binding to different Wnt ligands?

Investigating the specificity of WIF1 binding to different Wnt ligands requires sophisticated biochemical and cellular approaches:

  • Protein-protein interaction assays:

    • Co-immunoprecipitation: Using FITC-conjugated WIF1 antibodies to pull down WIF1-Wnt complexes from conditioned media or cell lysates, followed by Western blotting for specific Wnt proteins. This approach has successfully demonstrated WIF1-Wnt1 interactions .

    • Surface plasmon resonance (SPR): To measure binding kinetics (association/dissociation constants) between purified WIF1 and different recombinant Wnt proteins

    • Biolayer interferometry: Alternative to SPR for real-time binding analysis

    • Proximity ligation assay (PLA): For visualizing WIF1-Wnt interactions in situ with subcellular resolution

  • Structural analysis approaches:

    • Hydrogen-deuterium exchange mass spectrometry (HDX-MS): To identify WIF1 regions involved in Wnt binding

    • Cryo-electron microscopy: For structural determination of WIF1-Wnt complexes

    • Mutagenesis studies: Generating WIF1 variants with mutations in key binding domains

  • Competition binding assays:

    • Using fixed concentrations of labeled WIF1 and testing displacement by increasing concentrations of different unlabeled Wnt proteins

    • Cross-competition experiments between different Wnt family members

  • Domain-specific analysis:

    • Testing binding of WIF1 WIF domain versus EGF-like domains to different Wnts

    • Using the recombinant WIF1 domain protein, which has been shown to inhibit cancer cell growth similar to full-length WIF1

  • Functional specificity assays:

    • TOPFlash reporter assays: To measure inhibition of canonical Wnt signaling by WIF1 in response to different Wnt ligands

    • Non-canonical pathway readouts: Analyzing WIF1's effect on calcium flux or JNK activation induced by non-canonical Wnts

    • Phenotypic rescue experiments: Testing which Wnt proteins can rescue phenotypes in WIF1-overexpressing systems

  • Comparative analysis with other Wnt antagonists:

    • Parallel binding studies with sFRPs, DKKs, and other Wnt pathway inhibitors

    • Differential effects on canonical versus non-canonical Wnt signaling

Wnt LigandExpected WIF1 BindingPathway AffectedDetection Method
Wnt1Strong (confirmed) CanonicalCo-IP, functional assays
Wnt3aTo be determinedCanonicalReporter assays, binding studies
Wnt5aTo be determinedNon-canonicalCalcium assays, JNK activation
Wnt7a/bTo be determinedContext-dependentTissue-specific functional studies
Wnt11To be determinedNon-canonicalPCP pathway analysis

These comprehensive approaches would provide valuable insights into the specificity and selectivity of WIF1's interactions with the diverse family of Wnt ligands, potentially explaining tissue-specific or context-dependent effects of WIF1 in different biological systems.

What are the current limitations in WIF1 antibody research and future directions?

Current limitations in WIF1 antibody research include challenges in detecting physiological levels of secreted WIF1 protein, potential cross-reactivity with related proteins, and difficulties in distinguishing between different functional forms of WIF1. Future research directions should focus on developing more sensitive detection methods, creating antibodies specific to post-translationally modified forms of WIF1, and expanding application to diverse tissue types and disease models .

How can FITC-conjugated WIF1 antibodies contribute to translational research?

FITC-conjugated WIF1 antibodies have significant potential for translational research by enabling rapid detection of WIF1 expression in clinical samples. Since WIF1 epigenetic silencing is associated with cancer progression, these antibodies could be valuable for developing diagnostic assays, prognostic indicators, and therapeutic response monitoring tools. Additionally, they may facilitate high-throughput screening of compounds that modulate WIF1 expression or function, potentially leading to novel therapeutic approaches for diseases involving dysregulated Wnt signaling .

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