MUC13 Antibody

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Product Specs

Form
Rabbit IgG in phosphate buffered saline (without Mg2+ and Ca2+), pH 7.4, 150mM NaCl, 0.02% sodium azide and 50% glycerol.
Lead Time
We are typically able to dispatch orders within 1-3 business days of receipt. Delivery times may vary based on the purchasing method or location. For specific delivery timeframes, please consult your local distributor.
Synonyms
Down-regulated in colon cancer 1 antibody; DRCC1 antibody; FLJ20063 antibody; MUC 13 antibody; MUC-13 antibody; Muc13 antibody; MUC13 Down regulated in colon cancer 1 antibody; MUC13_HUMAN antibody; Mucin 13; cell surface associated antibody; Mucin-13 antibody; PRO20221 antibody; RECC antibody; UNQ6194 antibody
Target Names
Uniprot No.

Target Background

Function
MUC13 is an epithelial and hemopoietic transmembrane mucin that may play a role in cell signaling.
Gene References Into Functions
  1. Research suggests that MUC13 overexpression and loss of expression of AGR2 may be predictive of the progression of Intraductal papillary mucinous neoplasm (IPMN) and an unfavorable prognosis in patients with IPMN. PMID: 29650332
  2. A study demonstrated that USF1 can activate the transcription of MUC13, leading to enhanced proliferation and self-renewal of glioblastoma stem cells. PMID: 29441861
  3. High MUC13 expression has been identified as a novel, independent adverse prognostic factor for clinical outcomes in non-metastatic clear cell renal cell carcinoma patients after surgery. PMID: 27911274
  4. Luciferase assays and Western blot confirmed MUC13 as a target gene of miR1323p. PMID: 28339011
  5. This study demonstrates that MUC13 functionally interacts and activates HER2 at p1248 in pancreatic ductal adenocarcinoma (PDAC) cells, stimulating the HER2 signaling cascade, including ERK1/2, FAK, AKT, and PAK1. This, in turn, regulates growth, cytoskeleton remodeling, motility, and invasion of PDAC cells, ultimately contributing to PDAC progression. PMID: 27321183
  6. High MUC13 expression is associated with renal cell carcinoma and drug resistance. PMID: 28205224
  7. A combination of MUC13/MUC20 expression was found to be a potential prognostic marker for patients with esophageal squamous cell carcinoma (ESCC) who received neoadjuvant chemotherapy followed by surgery. PMID: 26323930
  8. Results show that pancreatic ductal adenocarcinoma cells express higher levels of MUC13, which is associated with a poor outcome when expressed at a low level. PMID: 25672256
  9. Nasopharyngeal MUC13 gene expression in readily available nasopharyngeal aspirate samples can be used to differentiate between the severity of disease in infants infected with Respiratory syncytial virus. PMID: 25261323
  10. These findings suggest miR-145 as a novel regulator of MUC13 in pancreatic cancer. PMID: 25277192
  11. Overexpression of MUC13 resulted in an increase in cell growth, colony formation, cell migration, and invasion in colon cancer cells. PMID: 24097071
  12. MUC13 is epigenetically regulated in ovarian cancer. PMID: 25048476
  13. Overexpression of MUC13 is associated with pancreatic neuroendocrine tumors. PMID: 24114056
  14. GALNT14 may contribute to ovarian carcinogenesis through aberrant glycosylation of MUC13. PMID: 23708057
  15. Metastatic colon cancer and liver metastasis tissue samples demonstrated significantly (p<0.05) higher cytoplasmic and nuclear MUC13 expression compared to non-metastatic colon cancer and adjacent normal colon samples. PMID: 22914648
  16. MUC13 overexpression significantly increased cell motility, invasion, proliferation, and anchorage-dependent or -independent clonogenicity while decreasing cell-cell and cell-substratum adhesion in pancreatic cancer. PMID: 22027689
  17. The various functional domains of MUC13 may confer oncogenic potential to MUC13. PMID: 21450906
  18. MUC13 is a good differentiation marker for gastrointestinal mucosa. PMID: 15904467
  19. Aberrant intestinal expression and allelic variant MUC13 is associated with inflammatory bowel disease. PMID: 17058067
  20. Reflux laryngitis is associated with down-regulation of mucin gene expression. PMID: 18834073
  21. Findings show the aberrant expression of MUC13 in ovarian cancer and that its expression alters the cellular characteristics of SKOV-3 cells. This implies a significant role of MUC13 in ovarian cancer. PMID: 19176398

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Database Links

HGNC: 7511

OMIM: 612181

KEGG: hsa:56667

STRING: 9606.ENSP00000312235

UniGene: Hs.5940

Subcellular Location
Cell membrane; Single-pass type I membrane protein. Apical cell membrane. Secreted. Note=Also exists as a soluble form.
Tissue Specificity
Highly expressed in epithelial tissues, particularly those of the gastrointestinal and respiratory tracts, such as large intestine and trachea, followed by kidney, small intestine, appendix and stomach.

Q&A

What is MUC13 and why is it important in cancer research?

MUC13 is a transmembrane glycoprotein that belongs to the mucin family and is normally expressed in epithelial tissues including the large intestine, trachea, kidney, small intestine, and gastric epithelium . It has gained significant research interest due to its overexpression in multiple cancers including pancreatic, colorectal, liver, and ovarian cancers . MUC13 plays a critical role in tumorigenesis by enhancing cell motility, invasion, proliferation, and anchorage-independent growth while decreasing cell-cell and cell-substratum adhesion . Recent studies have demonstrated that MUC13 drives cancer aggressiveness and metastasis through interaction with YAP1 and its nuclear translocation . This makes MUC13 not only a potential biomarker for cancer progression but also a promising therapeutic target.

MUC13 antibodies are utilized in several standard laboratory techniques:

  • Western Blotting (WB): For detecting MUC13 protein in cell or tissue lysates. Typically observed molecular weights range from 55-175 kDa, with common bands at 70-90 kDa and 120-175 kDa due to glycosylation .

  • Immunohistochemistry (IHC): For visualizing MUC13 expression patterns in tissue sections, particularly useful for comparing normal versus cancer tissues .

  • Immunofluorescence (IF): For examining subcellular localization of MUC13, which can inform on its membrane expression and potential internalization patterns .

  • ELISA: For quantitative measurement of MUC13 levels in biological samples .

  • Immunoprecipitation (IP): For studying MUC13 protein interactions with other cellular components .

What are the optimal conditions for using MUC13 antibodies in Western blotting?

For optimal Western blot results with MUC13 antibodies:

  • Sample preparation: Complete lysis buffers containing protease inhibitors are essential as MUC13 can be susceptible to degradation.

  • Dilution ratios:

    • Polyclonal antibodies: 1:500-1:3000

    • Monoclonal antibodies: 1:1000

  • Molecular weight considerations: MUC13 typically appears between 70-120 kDa in most cell lines, though can range from 55-175 kDa depending on glycosylation status .

  • Positive controls: HCT 116, HEK-293, HT-29, or SW480 cells consistently express detectable levels of MUC13 and serve as reliable positive controls .

  • Detection systems: Enhanced chemiluminescence (ECL) systems are generally sufficient, though near-infrared fluorescent secondary antibodies may provide better quantification.

What antigen retrieval methods are recommended for MUC13 immunohistochemistry?

Effective antigen retrieval is critical for MUC13 detection in formalin-fixed, paraffin-embedded (FFPE) tissues:

  • Primary recommendation: TE buffer at pH 9.0 provides optimal antigen retrieval for most MUC13 antibodies .

  • Alternative method: Citrate buffer at pH 6.0 can also be effective, though possibly with reduced signal intensity compared to TE buffer .

  • Protocol parameters:

    • Heat-induced epitope retrieval (HIER) using a pressure cooker or microwave

    • 20-30 minutes incubation time

    • Cooling to room temperature before primary antibody application

  • Antibody dilutions for IHC:

    • Polyclonal antibodies: 1:500-1:2000

    • Monoclonal antibodies: 1:50

  • Detection systems: 3,3'-Diaminobenzidine (DAB) provides consistent results for visualization of MUC13 expression in tissues.

How should MUC13 antibodies be stored to maintain optimal activity?

Proper storage conditions are essential for maintaining antibody functionality:

  • Temperature: Store at -20°C for long-term stability .

  • Format considerations:

    • Aliquoting is often unnecessary for -20°C storage of smaller volumes (≤20μl)

    • Larger volumes should be aliquoted to avoid repeated freeze-thaw cycles

  • Buffer composition: Most commercial MUC13 antibodies are provided in PBS with 0.02% sodium azide and 50% glycerol at pH 7.3 .

  • Stability: When properly stored, MUC13 antibodies typically remain stable for one year after shipment .

  • Special formulations: Some preparations may contain 0.1% BSA as a stabilizer .

How can MUC13 antibodies be used to study cancer progression mechanisms?

MUC13 antibodies enable sophisticated investigations into cancer biology:

  • Differential expression analysis: MUC13 antibodies can reveal expression patterns across cancer progression stages, with quantitative analysis showing marked increases in MUC13 expression in advanced tumor stages compared to normal tissue controls .

  • Signaling pathway investigations: MUC13 antibodies help elucidate how this protein influences oncogenic signaling, including:

    • HER2, PAK1, and ERK pathway activation

    • YAP1 interaction and nuclear translocation

    • Akt signaling and metastasin (S100A4) upregulation

    • p53 suppression mechanisms

  • Localization studies: Immunofluorescence with MUC13 antibodies can reveal specific subcellular localization patterns that inform on tumor cell interactions and signaling functions .

  • In vivo models: MUC13 antibodies are essential for validating xenograft models where MUC13 levels correlate with increased tumor burden and metastasis .

What methodological approaches are used to develop and validate novel MUC13 antibodies?

Development of new MUC13 antibodies involves several sophisticated techniques:

  • Hybridoma technology workflow:

    • Mouse immunization with recombinant MUC13 protein

    • Fusion of splenocytes with myeloma cells to create hybridomas

    • Selection of positive clones through ELISA screening

    • Purification via NGC liquid chromatography

  • Validation methods:

    • Western blot analysis to confirm specific binding and appropriate molecular weight

    • Immunofluorescence to verify cellular localization patterns

    • Immunohistochemistry in patient tissue samples to confirm clinical relevance

    • Comparison across multiple cancer and normal tissue types

  • Specificity testing:

    • Use of MUC13 knockout or knockdown cell lines as negative controls

    • Testing across species (human, mouse, rat) to determine cross-reactivity

    • Peptide competition assays to confirm epitope specificity

How can MUC13 antibodies facilitate studies of anoikis resistance in cancer metastasis?

MUC13 antibodies are instrumental in investigating anchorage-independent survival mechanisms:

  • Experimental approaches:

    • Detection of MUC13 expression during anoikis induction on poly-HEMA plates

    • Monitoring expression changes in 3D culture models that mimic micrometastasis

    • Analysis of MUC13's relationship to apoptotic markers (Bcl2, cleaved caspase 3)

  • Functional correlations:

    • MUC13 expression levels correlate with spheroid size and cell survival in 3D cultures

    • Western blot analysis reveals gradual increase in MUC13 during anchorage-independent conditions in MUC13-overexpressing cells

    • Flow cytometry with MUC13 antibodies helps quantify apoptotic cell populations (Sub G0) during anoikis resistance

  • Mechanistic insights:

    • MUC13 antibodies help establish the correlation between MUC13 expression and YAP1 nuclear translocation

    • Immunofluorescence co-localization studies reveal MUC13's interaction with survival pathway components

What are common challenges in detecting MUC13 in experimental systems and how can they be overcome?

Researchers frequently encounter several technical challenges when working with MUC13 antibodies:

ChallengeCauseSolution
Inconsistent molecular weight bandsVariable glycosylation of MUC13Use deglycosylation enzymes (PNGase F) before Western blotting
Weak signal in Western blotsLow expression or inefficient transferLoad more protein (30-50 μg); optimize transfer conditions for high molecular weight proteins
Background staining in IHCNon-specific bindingOptimize blocking (5% BSA or 10% normal serum); increase antibody dilution (1:1000-1:2000)
Poor signal in poorly differentiated tumorsLower MUC13 expressionUse signal amplification systems; extend primary antibody incubation (overnight at 4°C)
Inconsistent results across tissue samplesFixation variationsStandardize fixation protocols; adjust antigen retrieval methods based on fixation time

How can researchers distinguish between specific and non-specific binding of MUC13 antibodies?

Validating antibody specificity is crucial for reliable research outcomes:

  • Control experiments:

    • Use MUC13 knockdown cell lines (e.g., SW620+shMUC13) as negative controls

    • Include isotype controls to account for non-specific binding

    • Perform peptide competition assays using the immunizing peptide

  • Cross-validation approaches:

    • Compare results from multiple MUC13 antibodies targeting different epitopes

    • Validate protein expression with mRNA levels using RT-PCR

    • Confirm specificity across multiple experimental techniques (WB, IHC, IF)

  • Technical considerations:

    • For Western blotting, pre-absorb antibodies with non-specific proteins

    • For IHC/IF, increase washing steps and optimize blocking conditions

    • Consider specialized blocking agents for tissues with high endogenous biotin

What methodological considerations are important when studying MUC13 in different cancer types?

Cancer-specific adaptations are necessary when studying MUC13 across different malignancies:

  • Pancreatic cancer:

    • Well or moderately differentiated adenocarcinomas express MUC13 at higher levels than poorly differentiated types

    • Recommended antibody dilution: 1:500 for IHC in pancreatic tissues

    • Positive control: TCC-PAN2 pancreatic carcinoma cell line

  • Colorectal cancer:

    • MUC13 expression correlates with YAP1 nuclear localization

    • SW480 cells (low MUC13) and SW620 cells (high MUC13) serve as comparative models

    • 3D culture systems better replicate in vivo MUC13 functions than 2D cultures

  • Ovarian cancer:

    • MUC13 expression varies significantly between histological subtypes

    • Modified antigen retrieval (extended time in citrate buffer) may be necessary

    • Co-staining with CA125 helps differentiate MUC13-specific signals

How might MUC13 antibodies be utilized in developing targeted cancer therapies?

MUC13 antibodies show promise for therapeutic development:

  • Antibody-drug conjugates (ADCs):

    • MUC13 antibodies can be conjugated to potent anti-cancer drugs

    • Internalization properties of antibodies like TCC56 make them suitable for ADC development

    • Targeting apical antigens like MUC13 has shown clinical promise in other cancer types

  • Immunotherapy approaches:

    • MUC13 antibodies could block oncogenic signaling pathways

    • Potential for combining with immune checkpoint inhibitors

    • Development of bispecific antibodies targeting MUC13 and immune effector cells

  • Nanoparticle vaccines:

    • MUC13 antibodies can help in developing nanoparticle-based vaccines

    • These vaccines may boost immune responses against MUC13-expressing tumors

What methodological advances are needed to better understand MUC13's role in cancer metastasis?

Future research will require sophisticated methodological approaches:

  • Advanced imaging techniques:

    • Live-cell imaging with fluorescently tagged MUC13 antibodies

    • Super-resolution microscopy to study MUC13 clustering and interactions

    • Intravital microscopy to track MUC13-expressing cells during metastasis in vivo

  • Multi-omics integration:

    • Combining antibody-based proteomics with transcriptomics and metabolomics

    • Correlation of MUC13 expression with global phosphoproteome changes

    • Single-cell analysis of MUC13 expression heterogeneity within tumors

  • Model systems development:

    • Generation of conditional MUC13 knockout mouse models

    • Patient-derived organoids for evaluating MUC13 targeting strategies

    • Microfluidic systems to study MUC13's role in circulating tumor cells

How can researchers reconcile contradictory findings about MUC13 expression patterns across different studies?

Addressing research discrepancies requires methodological rigor:

  • Standardization approaches:

    • Establish reference standards for MUC13 quantification

    • Create detailed protocols for tissue processing and antibody application

    • Develop consensus guidelines for interpreting MUC13 expression patterns

  • Technical considerations:

    • Account for antibody clone-specific differences in epitope recognition

    • Consider glycosylation status variations across tissue types

    • Standardize scoring systems for MUC13 positivity in IHC

  • Contextual factors:

    • Integrate clinical data with experimental findings

    • Consider tumor microenvironment influence on MUC13 expression

    • Account for treatment history in patient samples when analyzing MUC13 patterns

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