CDH1 Antibody, Biotin conjugated

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Description

Immunohistochemistry (IHC)

Biotin-conjugated CDH1 antibodies are widely used to assess epithelial integrity in cancer studies. For example:

  • Prostate Cancer: Loss of CDH1 expression correlates with invasive phenotypes. DNA methylation of the CDH1 promoter in prostate development was studied using CDH1 antibodies to link epigenetic changes to ductal morphogenesis .

  • Epithelial Tissue Analysis: Boster’s PB9561 (rabbit polyclonal) detects E-cadherin in human placenta and mouse liver sections, validated via IHC with streptavidin-biotin complexes .

Flow Cytometry

Thermo Fisher’s DECMA-1 antibody (rat monoclonal) is used for intracellular staining to avoid surface protein turnover variability. Optimal staining is achieved at ≤0.25 µg/test in MDCK cells .

Western Blot (WB)

Aviva’s ARP51289_P050-Biotin (rabbit polyclonal) detects the 80 kDa CDH1 band in lysates. Observed molecular weights may vary due to post-translational modifications (e.g., glycosylation, phosphorylation) .

Protocols and Handling

ProtocolDetails
StorageLight-protected PBS buffer (Aviva) or -20°C in 50% glycerol (Qtonics). Avoid freeze-thaw cycles.
DilutionVaries by application: 1:250–1:1000 (Aviva’s OAOA22075), 2 µg/ml (Boster’s PB9561 in IHC) .
BlockingUse 5% BSA or 0.05 µg/ml TruStain FcX PLUS to reduce non-specific binding (e.g., in flow cytometry with DECMA-1) .

CDH1 in Cancer

  • DNA Methylation: CDH1 promoter methylation suppresses its expression, promoting cancer invasion. Antibodies confirmed reduced CDH1 levels in methylation-inhibited prostate models .

  • Functional Studies: DECMA-1 disrupts cell adhesion, enabling functional assays to study CDH1’s role in metastasis .

Epithelial Development

CDH1 antibodies revealed its downregulation during prostate ductal outgrowth, linking epigenetic regulation to organogenesis .

Considerations for Use

FactorRecommendation
Cross-ReactivityVerify species compatibility (e.g., Boster’s M00063-2 is human-specific; Aviva’s ARP51289_P050-Biotin detects multiple species) .
Isotype ControlsUse biotinylated rat IgG1 (Thermo Fisher) or rabbit IgG (Qtonics) to validate specificity .
Bulk PricingAviva and Qtonics offer bulk discounts; contact suppliers for tailored quotes .

Product Specs

Buffer
**Preservative:** 0.03% Proclin 300
**Constituents:** 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
We are generally able to ship products within 1-3 business days of receiving your order. Delivery times may vary based on the purchasing method or location. Please consult your local distributors for specific delivery timeframes.
Synonyms
Arc 1 antibody; CADH1_HUMAN antibody; Cadherin 1 antibody; cadherin 1 type 1 E-cadherin antibody; Cadherin-1 antibody; Cadherin1 antibody; CAM 120/80 antibody; CD 324 antibody; CD324 antibody; CD324 antigen antibody; cdh1 antibody; CDHE antibody; E-Cad/CTF3 antibody; E-cadherin antibody; ECAD antibody; Epithelial cadherin antibody; epithelial calcium dependant adhesion protein antibody; LCAM antibody; Liver cell adhesion molecule antibody; UVO antibody; Uvomorulin antibody
Target Names
Uniprot No.

Target Background

Function
Cadherins are calcium-dependent cell adhesion proteins that preferentially interact with themselves in a homophilic manner, connecting cells. This interaction contributes to the sorting of heterogeneous cell types. CDH1, also known as E-cadherin, plays a critical role in regulating cell-cell adhesion, epithelial cell mobility, and proliferation. It exhibits potent invasive suppressor activity. E-cadherin acts as a ligand for integrin alpha-E/beta-7 and promotes non-amyloidogenic degradation of Abeta precursors. Additionally, it strongly inhibits the production of APP C99 and C83. In the context of microbial infection, E-cadherin serves as a receptor for *Listeria monocytogenes*. The bacterial protein internalin A (InlA) binds to E-cadherin, facilitating the uptake of *Listeria monocytogenes* into cells.
Gene References Into Functions
  1. Pathogenic variants have been identified in four genes encoding components of the p120-catenin complex (CTNND1, PLEKHA7, PLEKHA5) and an epithelial splicing regulator (ESRP2), along with the known Cleft lip/Palate-associated gene, CDH1, which encodes E-cadherin. PMID: 29805042
  2. NEDD9, E-cadherin, and gamma-catenin proteins are implicated in the development of pancreatic ductal adenocarcinoma. PMID: 29924959
  3. The detection of Ezrin and E-cadherin expression in cervical smears has the potential to serve as a prognostic marker for identifying cervical lesions with a high risk of progression to invasive cervical cancer. This marker could assist in selecting appropriate therapy or avoiding unnecessary treatment. PMID: 29587669
  4. CDH1 plays an essential role in epithelial cell adherence. Mutations in CDH1, which cause blepharocheilodontic syndrome, impair the cell adhesion function of the cadherin-catenin complex in a dominant-negative manner. PMID: 29348693
  5. Research indicates that the S18-2 protein induces epithelial to mesenchymal cell transition through the TWIST2/E-cadherin signaling pathway, leading to CXCR4-mediated migration of prostate cancer cells. PMID: 29396484
  6. Studies have shown that miR711-mediated downregulation of CD44 expression inhibits epithelial-mesenchymal transition (EMT) of gastric cancer cells in vitro and in vivo. This downregulation is achieved by reducing vimentin protein expression and upregulating E-cadherin protein expression, as demonstrated through transfection, qRT-PCR, and western blotting. PMID: 30226620
  7. Soluble E-cadherin (sE-cad), a 80-kDa soluble form, is highly expressed in the malignant ascites of ovarian cancer patients and acts as a potent inducer of angiogenesis. In addition to ectodomain shedding, sE-cad is abundantly released in the form of exosomes. PMID: 29891938
  8. In the context of p53, the protein binds to the CDH1 (encoding E-cadherin) locus to counteract EZH2-mediated H3K27 trimethylation (H3K27me3), maintaining high levels of acetylation of H3K27 (H3K27ac). PMID: 29371630
  9. E-cadherin silencing relies on the formation of a complex between the paRNA and microRNA-guided Argonaute 1. Together, this complex recruits SUV39H1 and induces repressive chromatin modifications in the gene promoter. PMID: 28555645
  10. Research reveals that E-cadherin instructs the assembly of the LGN/NuMA complex at cell-cell contacts, defining a mechanism that couples cell division orientation to intercellular adhesion. PMID: 28045117
  11. Low CDH1 expression is associated with pancreatic cancer. PMID: 29956814
  12. The dysregulation of the TET2/E-cadherin/beta-catenin regulatory loop is a critical oncogenic event in the progression of hepatocellular carcinoma (HCC). PMID: 29331390
  13. Upon nicotinic acid addition, the transcription of the adherens junction protein E-cadherin is upregulated, leading to the accumulation of E-cadherin protein at the cell-cell boundary. This effect can be attributed to nicotinic acid's ability to facilitate the ubiquitination and degradation of Snail1, a transcription factor that represses E-cadherin expression. PMID: 28256591
  14. Downregulation of USP48 increases E-cadherin expression and epithelial barrier integrity by reducing TRAF2 stability. PMID: 28874458
  15. The 2D-network of AnxA5 mediates E-cadherin mobility in the plasmalemma, triggering human trophoblasts aggregation and subsequently cell fusion. PMID: 28176826
  16. The disassociation of the beta-catenin/E-cadherin complex in the osteoblast membrane under stretch loading and the subsequent translocation of beta-catenin into the nucleus may represent an intrinsic mechanical signal transduction mechanism. PMID: 29901167
  17. The presence of E-cadherin reduces cortical contractility during mitosis through a signaling cascade, leading to multipolar divisions. The knockout of E-cadherin promotes clustering and survival of cells with multiple centrosomes. PMID: 29133484
  18. E-cadherin expression is not significantly linked to metastatic disease in pancreatic ductal adenocarcinoma. PMID: 29355490
  19. High CDH1 expression is associated with the pathogenesis of Adamantinomatous Craniopharyngiomas. PMID: 29625497
  20. Studies provide evidence for genetic polymorphisms of the adherent junction component cadherin gene and the association of its haplotypes with leukoaraiosis. PMID: 30017735
  21. Research indicates that E-cadherin, N-cadherin, and fibronetin are involved in CHD4-mediated epithelial-mesenchymal transition. PMID: 29305962
  22. Up-regulation of H19 in bladder cancer tissues is correlated with clinical stage or metastasis of cancer. Suppression of H19 expression in bladder cancer cells through cell transfection leads to an upregulation of E-cadherin expression, thereby weakening the metastatic potential of cancer cells. PMID: 29614625
  23. Findings suggest that PHF8 plays an oncogenic role in facilitating FIP200-dependent autophagic degradation of E-cadherin, promoting EMT and metastasis in hepatocellular carcinoma (HCC). PHF8 could be a promising target for prevention, treatment, and prognostic prediction of HCC. PMID: 30180906
  24. When ANXA5 expression increases, cell proliferation is inhibited by regulating the expression of bcl-2 and bax, while cell metastasis is suppressed by regulating E-cadherin and MMP-9 expression. PMID: 30010106
  25. Six2 is negatively correlated with a good prognosis and decreases 5-FU sensitivity by suppressing E-cadherin expression in HCC cells. PMID: 29772441
  26. The -73A > C CDH1 promoter variation may lead to differences in the overall survival of sporadic gastric carcinoma patients and allele-specific repressions of CDH1. PMID: 29168119
  27. Overexpression of KLF6-SV1 is associated with young patients, and loss of E-cadherin suggests that this variant correlates with the aggressiveness of nasopharyngeal carcinoma. PMID: 29854578
  28. Smad4 could be considered a central component of EMT transition in human colorectal cancer. It combines with transcriptional factors to reduce E-cadherin and alter the expression of the epithelial phenotype. PMID: 29468299
  29. hnRNP H/F are important for the maintenance and differentiation of embryonic stem cells. This, at least in part, reflects a switch in TCF3 alternative splicing that leads to repression of CDH1/E-cadherin. PMID: 30115631
  30. E-cadherin and epithelial syndecan-1 were more highly expressed in intraluminal/luminal unicystic ameloblastoma than in mural unicystic ameloblastoma and solid/multicystic ameloblastoma. Conversely, the stromal expression of syndecan-1 was higher in mural unicystic ameloblastoma and solid/multicystic ameloblastoma. PMID: 29850393
  31. miR-219-5p promotes tumor growth and metastasis of HCC by regulating CDH1 and can serve as a prognostic marker for HCC patients. PMID: 29862272
  32. Plasma sE-cadherin levels and sE-cadherin/sVE-cadherin ratios are potential biomarkers for Chronic Obstructive Pulmonary Disease (COPD). PMID: 29376431
  33. HDAC inhibitors augment both E-cadherin and vimentin expression, but their effects vary in different cholangiocarcinoma cell lines. Therefore, the clinical use of HDAC inhibitors in biliary cancer should be considered cautiously. PMID: 29767267
  34. E-cadherin expression was preserved in 10 (21.28%) of the 47 non-small cell lung cancers (NSCLCs) immunostained with anti-E-cadherin antibody and reduced/absent in 37 of the 47 (78.72%) NSCLCs studied. E-cadherin plays a major role in intercellular adhesion. PMID: 29556623
  35. CDH1 promoter methylation may be correlated with cervical cancer carcinogenesis, particularly for Caucasians. It is associated with histological subtypes. PMID: 29237293
  36. High UTX expression is independently associated with a better prognosis in patients with esophageal squamous cell carcinoma (ESCC). Downregulation of UTX increases ESCC cell growth and decreases E-cadherin expression. These findings suggest that UTX could be a novel therapeutic target for patients with ESCC. PMID: 29351209
  37. Research indicates that ECAD, STAT3, Bak, and Bcl-xL are expressed in affected endometrial tissues of women with endometrioid adenocarcinoma, depending on neoplasm staging and cell differentiation. This study employed immunohistochemistry of surgically resected tissues. (STAT3 = signal transducer and activator of transcription 3 protein; Bak = pro-apoptotic protein BAK; Bcl-xL = BCL2 associated agonist of cell death). PMID: 28937296
  38. LncRNA RP11-789C1.1 inhibits EMT in gastric cancer (GC) through the RP11-789C1.1/miR-5003/E-cadherin axis, indicating its potential as a promising therapeutic target for GC. PMID: 29991048
  39. Using single-molecule localization microscopy, researchers have shown that pAJs in these cells reach more than 1 µm in length and consist of several cadherin clusters with crystal-like density interspersed within sparser cadherin regions. Extrajunctional cadherin appears to be monomeric, with a density nearly four orders of magnitude less than observed in the pAJ regions. PMID: 29691319
  40. CDH1 methylation may play a role in the initiation and progression of salivary carcinoma ex pleomorphic adenoma. PMID: 29207084
  41. This study illustrates an approach using immunohistochemical measurements of the epithelial-mesenchymal transition marker E-cadherin in a set of colorectal primary tumors from a population-based prospective cohort in North Carolina. PMID: 29338703
  42. The aim of this study was to analyze the immunohistochemical expression of beta-catenin, E-cadherin, and Snail, depending on clinico-morphological aspects of laryngeal squamous cell carcinomas. Results revealed variable E-cadherin, beta-catenin, and Snail expression, depending on differentiation degree and tumor stage. PMID: 29250652
  43. Twist, E-cadherin, and N-cadherin protein were differentially expressed in endometrioid adenocarcinoma tissues and in normal endometrium, suggesting their potential role in endometrioid adenocarcinoma development. PMID: 29237910
  44. Findings uncover a new regulatory network in renal cell carcinoma (RCC) involving metastasis-promoting miR-720, which directly targets the expression of key metastasis-suppressing proteins E-cadherin and alphaE-catenin complex. PMID: 28802251
  45. Results show that E-cadherin expression levels were negatively regulated by 90K via ubiquitination-mediated proteasomal degradation in a cell density-dependent manner. PMID: 29207493
  46. These results indicate that increased alpha-actinin-1 expression destabilizes E-cadherin-based adhesions, which is likely to promote the migratory potential of breast cancer cells. Furthermore, these findings identify alpha-actinin-1 as a candidate prognostic biomarker in basal-like breast cancer. PMID: 29742177
  47. High glucose enhances the formation of the EZH2/Snail/HDAC1 complex in the nucleus, which in turn causes E-cadherin repression. PMID: 29705809
  48. TGF-beta1 induced epithelial-mesenchymal transition in non-small cell lung cancer cells by upregulating miR-9 and downregulating miR-9's target, E-cadherin. PMID: 29118814
  49. Studies show that the E-cadherin/beta-catenin complex is disrupted by ICAT, promoting epithelial-mesenchymal transition of cervical cancer cells. PMID: 29048651
  50. Studies categorize cadherin 1 (CDH1) variants as either neutral or deleterious. PMID: 29231860

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Database Links

HGNC: 1748

OMIM: 119580

KEGG: hsa:999

STRING: 9606.ENSP00000261769

UniGene: Hs.461086

Involvement In Disease
Hereditary diffuse gastric cancer (HDGC); Endometrial cancer (ENDMC); Ovarian cancer (OC); Breast cancer, lobular (LBC); Blepharocheilodontic syndrome 1 (BCDS1)
Subcellular Location
Cell junction, adherens junction. Cell membrane; Single-pass type I membrane protein. Endosome. Golgi apparatus, trans-Golgi network. Note=Colocalizes with DLGAP5 at sites of cell-cell contact in intestinal epithelial cells. Anchored to actin microfilaments through association with alpha-, beta- and gamma-catenin. Sequential proteolysis induced by apoptosis or calcium influx, results in translocation from sites of cell-cell contact to the cytoplasm. Colocalizes with RAB11A endosomes during its transport from the Golgi apparatus to the plasma membrane.
Tissue Specificity
Non-neural epithelial tissues.

Q&A

What is CDH1 protein and why is it important in research?

CDH1, also known as E-cadherin or epithelial cadherin, is a 97.5 kDa transmembrane glycoprotein composed of 882 amino acid residues in humans. It is primarily localized in the Golgi apparatus and cell membrane. CDH1 plays a critical role in cell-cell adhesion mechanisms, particularly in epithelial tissues, where it helps maintain tissue architecture and cellular polarity. The protein is widely expressed across multiple tissue types and exists in up to two different isoforms .

CDH1 is subject to several post-translational modifications including O-glycosylation, N-glycosylation, ubiquitination, protein cleavage, and phosphorylation, which regulate its function and cellular localization . In research contexts, CDH1 serves as an important marker for identifying various cell types, including Descending Thin Limb Cells, Ascending Thin Limb Cells, and several types of Thick Ascending Limb Cells . The protein has multiple synonyms in scientific literature, including BCDS1, CD324, CDHE, ECAD, LCAM, UVO, CAM 120/80, and Arc-1, which researchers should be aware of when conducting literature searches .

What advantages does biotin conjugation offer for CDH1 antibodies?

Biotin conjugation provides several methodological advantages in CDH1 antibody applications. The strong and specific binding between biotin and streptavidin (dissociation constant Kd ≈ 10^-15 M) allows for enhanced detection sensitivity through signal amplification. This conjugation strategy creates a modular system where researchers can use a single biotin-conjugated primary antibody with various streptavidin-conjugated detection reagents (fluorophores, enzymes, quantum dots) without needing multiple directly labeled antibodies.

For multicolor flow cytometry experiments, biotin-conjugated CDH1 antibodies offer flexibility in panel design. Researchers can use streptavidin conjugated to spectrally distinct fluorophores that complement other directly labeled antibodies in the panel . This approach is particularly valuable when examining CDH1 expression alongside other markers on cells with limited availability or in complex tissue samples where signal amplification may be necessary to detect low-abundance CDH1 expression.

Additionally, biotin conjugation preserves antibody function while providing a consistent tag for detection, enabling standardized protocols across different experimental platforms. When working with fixed and permeabilized cells, biotin-conjugated antibodies often maintain better functionality compared to some direct fluorophore conjugations that may be adversely affected by fixation procedures.

What are the primary applications for biotin-conjugated CDH1 antibodies?

Biotin-conjugated CDH1 antibodies are versatile reagents employed across multiple research applications:

  • Flow Cytometry: These antibodies are routinely used for detecting CDH1-expressing cells in suspension, enabling quantification and isolation of specific cell populations. The biotin-streptavidin system allows for flexible detection with various fluorophore-conjugated streptavidin reagents .

  • Immunohistochemistry (IHC): In tissue sections, biotin-conjugated CDH1 antibodies facilitate the visualization of CDH1 distribution patterns. The signal can be amplified using streptavidin-conjugated enzymes like HRP or AP for chromogenic detection .

  • Immunofluorescence (IF): For high-resolution imaging of CDH1 localization in tissues or cultured cells, the biotin-conjugated antibodies can be detected with fluorophore-conjugated streptavidin .

  • Western Blotting: These antibodies enable sensitive detection of CDH1 protein in cell or tissue lysates, with visualization through streptavidin-enzyme conjugates .

  • Immunoprecipitation (IP): Biotin-conjugated CDH1 antibodies can be used to isolate CDH1 and associated protein complexes from cellular lysates, with the advantage that the biotin tag provides an alternative capture method using streptavidin-coated beads .

The selection of the appropriate application depends on the specific research question, sample type, and desired outcome. For each application, optimization of antibody concentration, incubation conditions, and detection system is essential for obtaining reliable and reproducible results.

How should researchers validate the specificity of biotin-conjugated CDH1 antibodies?

Validating antibody specificity is crucial for ensuring reliable experimental results. For biotin-conjugated CDH1 antibodies, a multi-faceted validation approach is recommended:

  • Positive and Negative Control Samples: Use cell lines or tissues with known CDH1 expression patterns. For instance, epithelial cell lines like MCF-7 (high CDH1 expression) can serve as positive controls, while mesenchymal cell lines may serve as negative controls .

  • Blocking Experiments: Pre-incubate the antibody with purified CDH1 protein before application to samples. Specific binding should be substantially reduced or eliminated.

  • siRNA Knockdown Validation: Compare antibody staining between CDH1 siRNA-treated cells and control siRNA-treated cells. Specific antibodies will show reduced signal in knockdown samples.

  • Orthogonal Detection Methods: Validate CDH1 expression using alternative methods such as qPCR for mRNA levels or mass spectrometry for protein detection.

  • Literature Validation: Check if the antibody has been cited in peer-reviewed publications, particularly those with relevant applications and validation data .

  • Western Blot Confirmation: Verify that the antibody detects a band of the expected molecular weight (~97.5 kDa for full-length CDH1) in Western blot analysis .

  • Cross-Reactivity Testing: If working with non-human samples, test the antibody against cell lines or tissues from relevant species, as CDH1 orthologs exist in mouse, rat, and chimpanzee .

Researchers should maintain detailed records of validation experiments and include these in publications to enhance reproducibility and confidence in reported findings.

How can biotin-conjugated CDH1 antibodies be optimized for multiplex flow cytometry?

Optimizing biotin-conjugated CDH1 antibodies for multiplex flow cytometry requires strategic panel design and technical considerations:

Panel Design Considerations:

  • Spectral Overlap Management: Choose a streptavidin-fluorophore conjugate with minimal spectral overlap with other fluorophores in your panel. Consider the capabilities of your specific flow cytometer and available compensation controls.

  • Signal Intensity Balancing: Since biotin-streptavidin detection typically provides signal amplification, assign this detection system to antigens with lower expression levels or antibodies with lower binding affinity. For CDH1, consider its expected expression level in your specific cell population .

  • Titration Optimization: Perform careful titration of both the biotin-conjugated CDH1 antibody and the streptavidin-fluorophore conjugate to determine optimal concentrations. This minimizes background while maintaining sensitivity.

Technical Protocol Optimization:

ParameterRecommendationRationale
Antibody Concentration0.5-5 μg/ml (determine empirically)Balance between specific signal and background
Incubation Temperature4°CReduces non-specific binding
Incubation TimePrimary: 30-60 min; Streptavidin: 15-30 minSufficient binding while limiting background
Washing StepsMinimum 2× with excess bufferRemoves unbound reagents
Buffer CompositionPBS + 1-2% protein + 0.1% NaN₃Reduces non-specific binding
Sequential StainingComplete all non-biotin antibody staining before adding streptavidinPrevents cross-reactivity

Advanced Strategies:

  • Avidin Blocking: If endogenous biotin is a concern, include an avidin blocking step followed by biotin blocking before adding biotin-conjugated antibodies.

  • Signal Amplification Control: Include a single-stained control using just the biotin-CDH1 antibody and streptavidin-fluorophore to assess the amplification level and adjust compensation accordingly.

  • Two-Step vs. Three-Step Detection: Consider whether a two-step approach (biotin-antibody followed by streptavidin-fluorophore) or a three-step approach (primary antibody, biotinylated secondary antibody, streptavidin-fluorophore) provides better signal-to-noise ratio for your specific application .

For complex panels targeting multiple epithelial/mesenchymal transition markers alongside CDH1, careful optimization of each parameter is essential to generate reliable, quantitative data.

What strategies can address endogenous biotin interference when using biotin-conjugated CDH1 antibodies?

Endogenous biotin in biological samples can interfere with biotin-streptavidin detection systems, particularly in tissues rich in biotin such as liver, kidney, and adipose tissue. Several methodological approaches can mitigate this interference:

Preventive Strategies:

  • Avidin/Biotin Blocking System: Implement a sequential blocking protocol:

    • First, block with unconjugated avidin (10-15 μg/ml for 15-20 minutes)

    • Second, block with excess free biotin (50-100 μg/ml for 15-20 minutes)

    • Wash thoroughly between and after these steps
      This system saturates both endogenous biotin and avidin binding sites.

  • Streptavidin/Biotin Blocking System: Commercial kits designed specifically for blocking endogenous biotin often provide optimal concentrations and incubation times for specific applications.

Alternative Approaches:

  • Non-Biotin Detection Systems: In samples with high endogenous biotin, consider:

    • Using unconjugated CDH1 antibody with fluorophore-conjugated secondary antibody

    • Switching to directly conjugated CDH1 antibodies (fluorophore or enzyme-conjugated)

  • Sample Pre-treatment: For fixed tissues or cells:

    • Pre-incubate sections with 0.01M sodium borohydride for 2-5 minutes

    • Use gentle antigen retrieval methods that may reduce endogenous biotin accessibility

Experimental Controls and Validation:

  • Negative Control: Include a streptavidin-only control (no biotin-conjugated primary antibody) to assess endogenous biotin levels.

  • Comparative Analysis: When possible, compare results between biotin-based and non-biotin-based detection methods for the same samples.

  • Endogenous Biotin Assessment: Prior to extensive experiments, screen representative samples for endogenous biotin levels by applying only the streptavidin-detection reagent.

The optimal strategy depends on the specific tissue or cell type being studied, the fixation methods employed, and the required sensitivity of CDH1 detection. For quantitative analyses, particularly in biotin-rich tissues, complete blockade of endogenous biotin is essential for accurate CDH1 quantification.

How do CDH1 mutations affect antibody binding and what methodological adaptations are needed?

CDH1 mutations, particularly prevalent in certain cancers like gastric cancer (9.7% mutation frequency) , can significantly impact antibody binding and necessitate specific methodological considerations:

Impact of CDH1 Mutations on Antibody Binding:

  • Epitope Alteration: Mutations within or near the antibody's target epitope can reduce or eliminate binding. This is especially problematic for monoclonal antibodies that recognize a single epitope.

  • Protein Expression Level: Some mutations lead to reduced CDH1 expression through mechanisms like nonsense-mediated decay or protein instability, resulting in weaker signals regardless of epitope preservation .

  • Subcellular Localization Changes: Mutations affecting trafficking signals may alter CDH1 localization, requiring modified permeabilization or extraction protocols for detection.

  • Post-translational Modification Changes: Mutations affecting glycosylation sites or phosphorylation motifs may impact antibody recognition if the epitope is modification-dependent .

Methodological Adaptations:

  • Epitope Mapping and Antibody Selection: When studying samples with known or suspected CDH1 mutations:

    • Select antibodies targeting epitopes in conserved regions less frequently affected by mutations

    • Consider using antibody cocktails targeting multiple epitopes for more robust detection

    • Validate antibody binding against recombinant CDH1 proteins harboring mutations of interest

  • Increased Sensitivity Approaches:

    • Implement tyramide signal amplification or other high-sensitivity detection methods

    • Adjust exposure/gain settings when imaging mutant samples alongside wild-type controls

    • Consider longer primary antibody incubation times (overnight at 4°C) to maximize binding

  • Complementary Approaches:

    • Implement parallel detection of CDH1 mRNA by in situ hybridization

    • Use genomic analysis to correlate CDH1 mutation status with protein detection results

    • Consider proximity ligation assays to detect CDH1 binding partners as indirect evidence

Experimental Design Considerations:

CDH1 Mutation ContextRecommended ApproachKey Considerations
Known hotspot mutationsEpitope-mapped antibodiesVerify epitope location relative to mutation sites
Multiple mutations/high heterogeneityAntibody cocktailUse antibodies recognizing distinct epitopes
Expression-reducing mutationsSignal amplification systemsCalibrate detection sensitivity
Mutations affecting PTMsDomain-specific antibodiesTarget domains less affected by PTM changes

For studies specifically examining CDH1-mutant populations, such as in gastric cancer research, parallel analysis of CDH1 mutation status alongside protein detection is essential for accurate interpretation of staining patterns . Additionally, correlation with other molecular features, such as PD-L1 expression status, which is reported to be lower in CDH1-mutant gastric cancer (56.7% vs. 73.3% in wild-type) , can provide important contextual information.

What are the best practices for using biotin-conjugated CDH1 antibodies in co-staining experiments?

Co-staining experiments involving biotin-conjugated CDH1 antibodies require careful planning to ensure specificity, compatibility, and optimal signal resolution:

Protocol Design Considerations:

  • Staining Sequence Optimization:

    • For membrane proteins like CDH1, perform surface marker staining before fixation/permeabilization when possible

    • When combining with intracellular markers, apply biotin-conjugated CDH1 antibody after complete fixation and permeabilization

    • Always add streptavidin conjugates as the final step to prevent cross-reactivity

  • Antibody Compatibility Assessment:

    • Verify that all primary antibodies are raised in different host species or are of different isotypes

    • Test each antibody individually before combining to establish baseline staining patterns

    • Conduct blocking steps with irrelevant immunoglobulins to reduce non-specific binding

Technical Strategies:

  • Multi-color Flow Cytometry:

    • Reserve the brightest fluorophores (PE, APC) for targets with lower expression

    • Balance the signal intensities by adjusting antibody concentrations

    • Include FMO (Fluorescence Minus One) controls for accurate gating

  • Immunofluorescence Microscopy:

    • Select fluorophores with minimal spectral overlap for co-staining

    • Consider sequential detection when using multiple biotin-based systems

    • Implement spectral unmixing for challenging combinations

Troubleshooting Common Issues:

ProblemPossible CauseSolution
Signal bleed-throughInsufficient compensationAdjust compensation settings; use fluorophores with greater spectral separation
Non-specific bindingInadequate blockingIncrease blocking agent concentration; include species-specific Fc block
Weak CDH1 signalEpitope maskingTry different clones; optimize antigen retrieval methods
High backgroundExcess streptavidin reagentTitrate streptavidin conjugate; increase washing steps
Variable CDH1 stainingHeterogeneous expressionInclude positive control samples; normalize to housekeeping markers

Advanced Applications:

  • Proximity Ligation Assay (PLA): For studying CDH1 interactions with binding partners, biotin-conjugated CDH1 antibodies can be combined with antibodies against potential interacting proteins, followed by oligonucleotide-conjugated streptavidin and appropriate PLA probes.

  • Multiparametric Analysis: When examining CDH1 in the context of epithelial-mesenchymal transition, co-stain with markers such as vimentin, N-cadherin, and cytokeratins to assess the full spectrum of phenotypic changes .

  • Live-Cell Imaging: For dynamic studies, carefully titrate biotin-conjugated CDH1 antibodies to minimize interference with normal cadherin function while maintaining detection sensitivity.

How can researchers optimize biotin-conjugated CDH1 antibodies for studying post-translational modifications?

Studying post-translational modifications (PTMs) of CDH1 using biotin-conjugated antibodies requires specialized approaches to ensure specific detection of modified forms while maintaining sensitivity:

Strategic Considerations:

  • Modification-Specific vs. Pan-CDH1 Antibodies:

    • Use biotin-conjugated modification-specific antibodies (e.g., phospho-CDH1, glyco-CDH1) in combination with pan-CDH1 antibodies to compare modified vs. total protein

    • Alternatively, use pan-CDH1 biotin-conjugated antibodies for immunoprecipitation followed by modification-specific detection

  • Preservation of Modifications:

    • Include phosphatase inhibitors (sodium orthovanadate, sodium fluoride) when studying phosphorylation

    • Add deubiquitinase inhibitors (N-ethylmaleimide) when studying ubiquitination

    • Use appropriate glycosidase inhibitors when studying glycosylation states

    • Maintain low temperature (4°C) throughout sample handling

Methodological Approaches:

  • Two-Step Immunoprecipitation:

    • First IP: Use biotin-conjugated CDH1 antibody to capture total CDH1

    • Streptavidin pull-down under gentle conditions

    • Second analysis: Probe for specific modifications using modification-specific antibodies

  • Sequential Immunolabeling:

    • First detection: Standard CDH1 staining with biotin-conjugated antibody

    • Image acquisition

    • Antibody stripping (glycine-HCl pH 2.5 or commercial stripping buffer)

    • Second detection: Modification-specific antibody staining

    • Second image acquisition and colocalization analysis

Technical Protocol Optimization:

PTM TypeBuffer AdditivesSpecial Considerations
Phosphorylation1 mM NaVO₄, 10 mM NaFAvoid phosphate-based buffers during IP
Glycosylation5 mM NaF, protease inhibitorsGentle lysis to maintain membrane integrity
Ubiquitination10 mM N-ethylmaleimide, protease inhibitorsDenaturing conditions may be necessary
Proteolytic ProcessingComplete protease inhibitor cocktailCompare full-length vs. cleaved forms

Control Experiments:

  • Enzymatic Treatments:

    • Phosphatase treatment to remove phosphorylation

    • Glycosidase treatment (PNGase F, O-Glycosidase) to remove glycans

    • Ubiquitin-specific proteases to remove ubiquitin
      These treatments should abolish or reduce signal from modification-specific antibodies

  • Mutant Constructs:

    • Express CDH1 with mutations at known modification sites as negative controls

    • Use constitutively modified mimetics (e.g., phosphomimetic mutations) as positive controls

Understanding the effects of these post-translational modifications on CDH1 function is critical, as they regulate CDH1's role in cell adhesion, trafficking, and signaling pathways . For instance, phosphorylation of specific tyrosine residues in CDH1 can lead to its internalization and degradation, while glycosylation is essential for proper folding and membrane localization. Properly optimized biotin-conjugated CDH1 antibodies, combined with appropriate controls and detection systems, enable researchers to investigate these complex regulatory mechanisms.

What are the most common challenges when using biotin-conjugated CDH1 antibodies and how can they be addressed?

Researchers working with biotin-conjugated CDH1 antibodies often encounter several technical challenges that require specific troubleshooting approaches:

Challenge 1: High Background Signal

Potential Causes:

  • Excessive antibody or streptavidin concentration

  • Insufficient blocking

  • Endogenous biotin in samples

  • Non-specific binding of the antibody

Solutions:

  • Perform careful titration experiments to determine optimal antibody and streptavidin concentrations

  • Extend blocking steps (use 5-10% serum from the same species as secondary reagents)

  • Implement avidin-biotin blocking system as described in section 2.2

  • Include additional washing steps with 0.1-0.3% Tween-20 in washing buffer

  • Pre-adsorb antibodies with irrelevant tissues/cells to remove non-specific binders

Challenge 2: Weak or Absent CDH1 Signal

Potential Causes:

  • Epitope masking due to fixation or processing

  • Low CDH1 expression in sample

  • CDH1 mutations affecting epitope recognition

  • Degradation of CDH1 protein during sample preparation

Solutions:

  • Optimize antigen retrieval methods (heat-induced with citrate buffer pH 6.0 or EDTA buffer pH 9.0)

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

  • Try alternative CDH1 antibody clones targeting different epitopes

  • Implement signal amplification systems (tyramide signal amplification)

  • Ensure samples are processed rapidly with appropriate protease inhibitors

Challenge 3: Inconsistent or Variable Staining

Potential Causes:

  • Heterogeneous CDH1 expression

  • Inconsistent fixation or permeabilization

  • Variable biotin-streptavidin interaction

  • Batch-to-batch antibody variation

Solutions:

  • Standardize fixation and permeabilization protocols

  • Include positive and negative control samples in each experiment

  • Prepare larger batches of working dilutions to use across multiple experiments

  • Document lot numbers and create standardized calibration curves for new antibody lots

Challenge 4: Cross-Reactivity in Multi-Parameter Assays

Potential Causes:

  • Spectral overlap between fluorophores

  • Non-specific binding of secondary reagents

  • Insufficient blocking between sequential staining steps

Solutions:

  • Perform single-stain controls for proper compensation

  • Use isotype controls to identify non-specific binding

  • Implement additional blocking steps between sequential staining procedures

  • Consider using directly conjugated primary antibodies for other targets to reduce complexity

Comprehensive Troubleshooting Approach:

ProblemDiagnosisInterventionValidation
High backgroundRun streptavidin-only controlImplement biotin blockingCompare signal-to-noise ratios
Weak signalTest on known positive control tissueOptimize antigen retrievalVerify with alternative detection method
Non-specific bindingExamine isotype controlIncrease blocking reagentsCheck pattern against published results
Variable resultsCompare technical replicatesStandardize protocolsImplement quantitative controls

Establishing a systematic approach to troubleshooting, with appropriate controls at each experimental stage, enables researchers to obtain reliable and reproducible results when working with biotin-conjugated CDH1 antibodies.

How can researchers quantitatively assess CDH1 expression using biotin-conjugated antibodies?

Quantitative assessment of CDH1 expression using biotin-conjugated antibodies requires standardized methodologies and appropriate controls to ensure accuracy and reproducibility:

Flow Cytometry Quantification:

  • Standardization Approaches:

    • Use calibration beads conjugated with known quantities of biotin to establish a standard curve

    • Incorporate Quantibrite beads (or equivalent) with known fluorophore quantities to convert fluorescence intensity to absolute molecule numbers

    • Implement antibody binding capacity (ABC) beads to estimate antibody binding sites per cell

  • Analytical Considerations:

    • Report median fluorescence intensity (MFI) rather than mean values to minimize impact of outliers

    • Calculate stain index: (MFI positive - MFI negative) / (2 × SD of negative population)

    • For heterogeneous populations, consider reporting percentage of positive cells alongside intensity metrics

Imaging-Based Quantification:

  • Image Acquisition Parameters:

    • Use constant exposure settings across all samples

    • Implement flat-field correction to account for illumination non-uniformities

    • Acquire images below saturation to maintain linear signal response

  • Analysis Approaches:

    • For membrane CDH1: Measure intensity at cell boundaries using membrane segmentation algorithms

    • For total CDH1: Integrate intensity across entire cell area after background subtraction

    • Consider subcellular distribution ratios (membrane:cytoplasmic) for trafficking studies

Western Blot Quantification:

  • Loading Controls:

    • Normalize CDH1 signal to appropriate housekeeping proteins (β-actin, GAPDH)

    • Consider using total protein normalization (stain-free gels or Ponceau staining)

    • Run serial dilutions to ensure measurements within linear detection range

  • Detection Optimization:

    • Use streptavidin-HRP at optimized concentration

    • Employ enhanced chemiluminescence with standard exposure series

    • Consider fluorescent streptavidin conjugates for wider linear range

Standardization and Controls:

Control TypePurposeImplementation
Isotype ControlAssess non-specific bindingMatch concentration to test antibody
Biological Negative ControlEstablish background thresholdCDH1-negative cell line or tissue
Biological Positive ControlVerify detection systemKnown CDH1-expressing cell line
Technical StandardEnable cross-experiment comparisonRecombinant CDH1 protein standard curve
Dynamic Range ControlEnsure measurements in linear rangeSerial dilutions of high-expressing sample

Data Reporting Guidelines:

  • Document complete methodology including:

    • Antibody clone, lot number, and concentration

    • Streptavidin conjugate specifications and concentration

    • Instrument settings and calibration details

    • Analysis software and parameters

  • Present quantitative data with:

    • Appropriate statistical analyses

    • Clear indication of biological and technical replicates

    • Normalized values with explanation of normalization method

What considerations are important when studying CDH1 in cancer research using biotin-conjugated antibodies?

Cancer research involving CDH1 presents unique challenges and opportunities that require specific methodological considerations when using biotin-conjugated antibodies:

CDH1 Alterations in Cancer:

  • Mutation Profiles: CDH1 mutations occur in approximately 9.7% of gastric cancers and are associated with genomically stable subtypes and poor prognosis . These mutations may affect antibody binding as discussed in section 2.3.

  • Expression Changes: Loss or reduction of CDH1 expression is a hallmark of epithelial-mesenchymal transition (EMT) in many cancers, requiring detection methods with appropriate sensitivity and dynamic range.

  • Associated Molecular Features: CDH1-mutant gastric cancers show distinct molecular profiles, including:

    • Lower rates of PD-L1 positivity (56.7% vs. 73.3%)

    • Higher mutation rates in ARID1A, WRN, POT1, CDK12, and FANCC

    • Lower mutation rates in TP53 and APC

    • Lower rates of KRAS and HER2 amplifications

    • Higher rates of CRKL and IGF1R amplifications

Methodological Approaches:

  • Tumor Heterogeneity Assessment:

    • Implement multi-region sampling to account for intratumoral heterogeneity

    • Consider tissue microarray (TMA) approaches with adequate sampling

    • Combine with laser capture microdissection for region-specific analysis

  • Correlation with Genetic Analysis:

    • Integrate CDH1 protein detection with mutation status determination

    • Compare protein expression patterns between wild-type and mutant populations

    • Correlate with copy number alterations and transcriptomic profiles

  • Technical Optimizations:

    • Account for increased tissue autofluorescence in tumor samples

    • Implement dual staining with tumor markers for proper cell identification

    • Consider the impact of stromal components and tumor microenvironment

Application-Specific Considerations:

ApplicationCancer Research ConsiderationsTechnical Adaptation
Flow CytometryTumor cell heterogeneityMulti-parameter panels including stemness markers
IHC/IFSpatial context of CDH1 lossQuantitative image analysis with region annotation
Circulating Tumor CellsRare cell detectionEnrichment protocols before CDH1 staining
Patient-Derived XenograftsSpecies cross-reactivityHuman-specific CDH1 antibodies
3D OrganoidsComplex 3D architectureWhole-mount staining with extended penetration time

Biomarker Development Strategies:

  • Prognostic Applications:

    • Standardize scoring systems for CDH1 expression (e.g., H-score, percentage positive cells)

    • Establish clinically relevant thresholds through correlation with outcome data

    • Consider CDH1 in context of other EMT markers for comprehensive assessment

  • Predictive Biomarker Development:

    • Correlate CDH1 status with treatment responses

    • Integrate with emerging biomarkers like PD-L1 expression

    • Develop multiplexed assays capturing CDH1 alongside mutation-associated markers

  • Monitoring Applications:

    • Serial assessment of CDH1 expression during treatment

    • Correlation with circulating tumor DNA CDH1 mutation burden

    • Integration with other liquid biopsy parameters

When studying CDH1 in cancer research, it is critical to understand that CDH1 alterations represent not just isolated events but parts of complex molecular landscapes. The distinct molecular profiles associated with CDH1 mutations, such as the lower rates of PD-L1 positivity in gastric cancers , highlight the importance of integrated biomarker approaches. Biotin-conjugated CDH1 antibodies, when used within carefully designed experimental frameworks, can provide valuable insights into these complex molecular relationships.

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