Target: Tight junction protein ZO-1 (zona occludens-1)
Clone: R26.4C
Host Species: Mouse
Reactivity: Rat, mouse, canine, porcine
Applications:
Western blotting
Immunohistochemistry (frozen tissue)
Immunocytochemistry
| Property | Specification |
|---|---|
| Purity | >90% (SDS-PAGE) |
| Aggregation | <10% (HPLC) |
| Recommended Dilution | ≤10 µg/mL (IHC/ICC) |
| Key Interactions | ZO-2, ZO-3, occludin, claudins, actin |
ZO-1 anchors the actin cytoskeleton to tight junctions, regulating epithelial barrier function .
Downregulated in breast cancer lines, correlating with metastasis .
Target: Asymmetric dimethylation at histone H3 arginine 26 (H3R26me2a)
Host Species: Rabbit
Reactivity: Human, mouse, rat
Applications:
Western blot
Immunohistochemistry
Immunofluorescence
| Property | Specification |
|---|---|
| Immunogen | Synthetic methylated peptide (H3R26) |
| Recommended Dilution | WB: 1:500–1:2000; IHC/IF: 1:50–1:200 |
| Observed MW | 14 kDa |
| Cellular Localization | Nucleus, chromatin |
H3R26me2a regulates transcriptional activation and chromatin remodeling .
Detected in HeLa and C2C12 cell lines, suggesting roles in cancer and differentiation .
Target: Anti-Müllerian hormone (AMH) residues R26–R451
Clone: 11303
Host Species: Mouse
Reactivity: Human
Applications: ELISA
| Property | Specification |
|---|---|
| Isotype | IgG1 |
| Purification | >95% (affinity) |
| Storage | 2–8°C (12-month stability) |
AMH inhibits Müllerian duct development in males and regulates folliculogenesis in females .
Clinical relevance in ovarian granulosa cell tumors and fertility disorders .
Target: Citrullinated histone H3 at arginine 26 (H3R26Cit)
Clone: EPR20606
Host Species: Rabbit
Reactivity: Human, mouse
Applications:
Dot blot
Western blot
| Property | Specification |
|---|---|
| Specificity | No cross-reactivity with H3R2Cit, H3R8Cit, or H3R17Cit |
| Immunogen | Synthetic peptide (H3R26Cit, aa25–36) |
H3R26Cit is catalyzed by peptidylarginine deiminase 4 (PADI4), linked to neutrophil extracellular trap (NET) formation and autoimmune diseases .
While no direct "RR26" therapeutic antibody exists, engineered antibodies with R26 modifications include:
Citrulline-based linkers (e.g., Val-Cit) are widely used in antibody-drug conjugates (ADCs) for controlled payload release .
Cancer: Loss of ZO-1 (R26.4C target) correlates with poor prognosis in breast and colorectal cancers .
Autoimmunity: H3R26Cit antibodies serve as biomarkers for rheumatoid arthritis and lupus .
COVID-19: Non-canonical antibodies (e.g., anti-internal viral proteins) predict survival in severe cases, though R26-specific roles remain unstudied .
RR26 Antibody is a polyclonal antibody raised in rabbits against recombinant Oryza sativa subsp. japonica (Rice) RR26 protein. It is an antigen-affinity purified antibody supplied in liquid form with 50% glycerol, 0.01M PBS (pH 7.4), and 0.03% Proclin 300 as preservative . The antibody has been validated for ELISA and Western Blot applications for identifying the RR26 antigen. While specific to rice proteins, the methodology of antibody development and validation follows standard immunological principles applicable across antibody research.
Primary applications include protein expression studies, protein localization, and functional analysis of RR26 protein in plant biology research. The antibody enables investigation of RR26 protein involvement in plant cellular processes, particularly in response to environmental stressors and developmental regulation in rice.
When preparing samples for RR26 Antibody applications, researchers should consider:
Tissue extraction: Use fresh tissue when possible, with rapid freezing in liquid nitrogen followed by mechanical disruption in a suitable buffer (typically containing protease inhibitors)
Buffer composition: For rice tissue samples, use extraction buffers containing 50mM Tris-HCl (pH 7.5), 150mM NaCl, 1mM EDTA, 1% Triton X-100, and protease inhibitor cocktail
Sample denaturation: For Western blotting, denature proteins at 95°C for 5 minutes in Laemmli buffer containing β-mercaptoethanol
Fixation for immunohistochemistry: Use 4% paraformaldehyde in phosphate buffer for 24-48 hours, followed by standard paraffin embedding or cryosectioning procedures
The choice of sample preparation should be guided by the specific experimental goals and the nature of the target protein's subcellular localization.
To maintain optimal activity of RR26 Antibody, researchers should adhere to the following evidence-based storage protocols:
Avoid repeated freeze-thaw cycles as they can degrade antibody quality
For working solutions, store aliquots rather than the entire stock
When handling, keep the antibody on ice and return to -20°C promptly after use
Consider adding carrier proteins such as BSA (0.1-1%) for diluted working solutions to prevent adsorption to tube walls
A stability study tracking immunoreactivity over time showed that antibodies stored according to these guidelines retained >90% activity after 12 months, while those subjected to multiple freeze-thaw cycles showed significant degradation after just 3-4 cycles.
When optimizing Western Blot protocols with RR26 Antibody, consider the following methodological adaptations:
Antibody dilution optimization:
Perform a titration experiment using dilutions from 1:500 to 1:5000
Evaluate signal-to-noise ratio at each dilution
For RR26 Antibody, optimal results are typically achieved at 1:1000-1:2000 dilutions
Blocking optimization:
Test multiple blocking agents: 5% non-fat dry milk, 5% BSA, or commercial blocking buffers
Blocking time: 1 hour at room temperature or overnight at 4°C
For plant proteins, BSA often provides superior blocking compared to milk proteins
Incubation conditions:
Primary antibody (RR26): Incubate overnight at 4°C with gentle agitation
Secondary antibody: Anti-rabbit HRP conjugate at 1:5000-1:10000 for 1 hour at room temperature
Buffer composition:
TBST (TBS + 0.1% Tween-20) is recommended for washing steps
Perform 3-5 washes of 5-10 minutes each between antibody incubations
This methodological approach helps minimize background while maximizing specific signal detection for RR26 protein analysis.
Implementing proper validation controls is essential for ensuring reliable results with RR26 Antibody:
| Control Type | Implementation Method | Purpose | Expected Outcome |
|---|---|---|---|
| Positive Control | Extract from wild-type rice expressing RR26 | Confirms antibody functionality | Specific band at expected molecular weight |
| Negative Control | Extract from RR26 knockout/knockdown line | Validates specificity | Absence or reduction of target band |
| Loading Control | Probing for housekeeping proteins (e.g., actin, tubulin) | Ensures equal loading | Consistent band intensity across samples |
| Secondary-only Control | Omit primary antibody | Detects non-specific binding of secondary antibody | No visible bands |
| Peptide Competition | Pre-incubate antibody with immunizing peptide | Confirms epitope specificity | Elimination or reduction of specific signal |
| Isotype Control | Use matched non-specific IgG | Controls for non-specific binding | No visible bands |
When antibody validation reveals inconsistencies, researchers should systematically evaluate each parameter, starting with sample preparation and progressing through blocking conditions, antibody concentrations, and detection methods.
Assessing cross-reactivity of RR26 Antibody requires a systematic approach:
Sequence homology analysis:
Perform BLASTp alignment of RR26 protein sequence against target species
Focus on the immunogen region (amino acids targeted by the antibody)
Calculate percent identity and similarity scores
Epitope conservation evaluation:
Map the specific epitope region recognized by RR26 Antibody
Analyze conservation of critical residues across species
Predict potential cross-reactivity based on epitope conservation
Experimental validation:
Test antibody against protein extracts from multiple species in Western blot
Include positive control (rice extract) alongside test species
Document band patterns and molecular weights across species
Specificity confirmation:
Perform immunoprecipitation followed by mass spectrometry
Validate that pulled-down proteins match expected targets
Document any off-target binding for comprehensive characterization
While RR26 Antibody is specifically raised against rice proteins, researchers investigating related proteins in other plant species should evaluate sequence conservation at the immunogen region (Q5N6V8) to predict potential cross-reactivity .
When implementing RR26 Antibody in immunohistochemistry (IHC), researchers commonly encounter these challenges and methodological solutions:
High background signal:
Challenge: Non-specific binding to endogenous plant compounds
Solution: Pre-absorb antibody with plant extract powder; increase blocking with 10% normal serum; implement additional washing steps with 0.3% Triton X-100
Weak or absent signal:
Challenge: Epitope masking during fixation
Solution: Test multiple antigen retrieval methods (heat-induced at pH 6.0, 9.0; enzymatic with proteinase K); optimize fixation time (reduce to 12-24 hours for plant tissues)
Autofluorescence interference:
Challenge: Plant tissues often display strong autofluorescence
Solution: Pre-treat sections with 0.1% sodium borohydride; use Sudan Black B (0.1% in 70% ethanol) post-staining; consider spectral unmixing during imaging
Inconsistent staining across tissue:
Challenge: Uneven penetration in dense plant tissues
Solution: Optimize section thickness (8-10 μm optimal); vacuum infiltration of reagents; extend incubation times with gentle agitation
Researchers should systematically document all optimization steps through a controlled experimental design, modifying one variable at a time while maintaining others constant.
Reducing non-specific binding requires a multi-faceted approach with specific methodological adjustments:
Pre-adsorption protocol:
Dilute RR26 Antibody to working concentration
Add 100-200 μg/ml of non-related plant extract powder
Incubate for 2 hours at room temperature with gentle rotation
Centrifuge at 10,000g for 10 minutes and use supernatant for experiments
Blocking optimization:
Test multiple blocking agents (BSA, normal serum, commercial blockers)
Extend blocking time to 2-3 hours at room temperature
Include 0.1-0.3% Triton X-100 in blocking buffer to reduce hydrophobic interactions
Buffer modifications:
Add 0.1-0.5M NaCl to reduce ionic interactions
Include 0.1% non-ionic detergent (Tween-20 or Triton X-100)
Consider adding 5-10% polyethylene glycol (PEG) to reduce non-specific adsorption
Antibody handling:
Centrifuge antibody solution (14,000g for 10 minutes) before use to remove aggregates
Use freshly prepared antibody dilutions
Filter diluted antibody through 0.22 μm filter before application
These methodological adjustments should be implemented sequentially, evaluating the impact of each change through comparison with control conditions.
Integrating RR26 Antibody into multi-parameter analyses requires sophisticated methodological approaches:
Multiplexed immunofluorescence:
Combine RR26 Antibody with antibodies against other proteins of interest
Ensure primary antibodies are raised in different host species
Use spectrally distinct fluorophore-conjugated secondary antibodies
Implement spectral unmixing to resolve overlapping fluorescence emissions
Sequential immunoblotting:
Perform detection with RR26 Antibody first
Document results thoroughly
Strip membrane using validated stripping buffer (200mM glycine, 0.1% SDS, 1% Tween-20, pH 2.2)
Re-probe with additional antibodies against other proteins
Validate that stripping does not affect subsequent detection efficiency
Proximity ligation assay (PLA) applications:
Combine RR26 Antibody with antibodies against potential interaction partners
Use species-specific PLA probes
Optimize probe dilution and incubation times for plant tissue samples
Quantify interaction signals using appropriate image analysis software
Mass spectrometry integration:
Use RR26 Antibody for immunoprecipitation
Analyze precipitated complexes by LC-MS/MS
Implement appropriate controls (IgG pulldown, input sample)
Apply statistical analysis to identify significant interactions
These advanced applications extend beyond basic detection to provide insights into protein interactions, co-localization, and functional relationships in complex biological systems.
When faced with contradictory results across experimental platforms using RR26 Antibody, implement this systematic troubleshooting methodology:
Comprehensive antibody validation:
Perform epitope mapping to identify the exact binding region
Test antibody recognition under native and denatured conditions
Evaluate potential post-translational modification interference
Document lot-to-lot variation through parallel testing
Cross-platform standardization:
Prepare a standard sample set to be used across all platforms
Process identical samples in parallel through different methodologies
Implement consistent blocking and washing protocols across platforms
Standardize image acquisition and analysis parameters
Systematic variable isolation:
Create a matrix of experimental conditions
Vary one parameter at a time (fixation, permeabilization, antibody concentration)
Document the impact of each variable on results
Identify critical parameters affecting outcome consistency
Orthogonal validation:
Implement alternative detection methods (e.g., MS validation of Western blot results)
Use genetic approaches (overexpression, knockdown) to validate antibody specificity
Apply complementary techniques (immunofluorescence and in situ hybridization)
Correlate protein detection with transcript levels (RT-qPCR)
By systematically addressing each potential variable, researchers can identify the source of discrepancies and develop standardized protocols that yield consistent results across platforms.
A comparative analysis of polyclonal RR26 Antibody versus monoclonal alternatives reveals distinct performance characteristics relevant for advanced research:
| Parameter | Polyclonal RR26 Antibody | Monoclonal Alternatives | Methodological Implications |
|---|---|---|---|
| Epitope Recognition | Multiple epitopes on target protein | Single, defined epitope | Polyclonals provide more robust detection when protein conformation varies across applications |
| Batch-to-Batch Variation | Moderate to high | Minimal | Monoclonals offer better reproducibility for longitudinal studies |
| Signal Strength | Generally stronger | May require amplification | Polyclonals advantageous for low-abundance targets |
| Specificity | May recognize related proteins | Highly specific | Monoclonals preferred for distinguishing closely related proteins |
| Post-translational Modification Sensitivity | Lower (multiple epitopes) | Higher (epitope may include modification site) | Selection depends on whether modifications need to be detected or avoided |
| Cost and Production | Lower cost, faster production | Higher cost, longer development | Practical considerations for research budget and timeline |
For advanced spatial proteomics or single-cell applications, the choice between polyclonal RR26 Antibody and monoclonal alternatives should be guided by the specific research question, particularly regarding the need for sensitivity versus absolute specificity.
Adapting RR26 Antibody for super-resolution microscopy requires specific methodological considerations:
Conjugation strategies for direct fluorophore labeling:
Use NHS-ester chemistry to label primary amines on RR26 Antibody
Optimal dye-to-antibody ratio: 2-4 fluorophores per antibody molecule
Recommended fluorophores: Alexa Fluor 647, Cy5.5, or ATTO 488 for STORM/PALM
Validate that conjugation does not impair antigen recognition through parallel testing
Sample preparation optimization:
Use thinner sections (4-5 μm) to minimize out-of-focus signal
Implement dual fixation (2% paraformaldehyde followed by 0.2% glutaraldehyde)
Apply graduated ethanol series for dehydration to preserve cellular ultrastructure
Mount in specialized imaging media with appropriate refractive index matching
Protocol adaptations for different super-resolution modalities:
STORM/PALM: Use oxygen scavenging buffer systems containing glucose oxidase/catalase
STED: Select fluorophores with high photostability (ATTO dyes preferred)
SIM: Increase antibody concentration by 20-30% compared to conventional immunofluorescence
Expansion microscopy: Test RR26 Antibody retention after polymer expansion
Validation and controls:
Implement fiducial markers for drift correction
Use multicolor beads for chromatic aberration calibration
Include known structural proteins as positive controls for resolution verification
Quantify localization precision using repeated localizations of single fluorophores
These methodological adaptations enable researchers to leverage the specificity of RR26 Antibody while achieving nanoscale resolution of target structures.
When integrating RR26 Antibody into CRISPR-based knockout validation studies, researchers should follow these methodological guidelines:
Strategic epitope mapping in relation to CRISPR target sites:
Determine the exact epitope region recognized by RR26 Antibody
Design CRISPR guide RNAs to target genomic regions encoding this epitope
Create additional guide RNAs targeting distant regions as controls
Validate the relationship between edit location and antibody binding
Sequential validation approach:
Confirm genomic edits through sequencing
Assess transcript disruption via RT-qPCR
Evaluate protein loss using RR26 Antibody in Western blot
Perform immunostaining to confirm cellular phenotype
Controls for specificity assessment:
Include wild-type samples as positive controls
Implement multiple independent CRISPR clones
Use RR26 siRNA knockdown samples as specificity controls
Develop rescue experiments reintroducing the target protein
Quantitative analysis protocols:
Standardize protein quantification methods
Implement digital image analysis with consistent thresholding
Calculate signal reduction percentages relative to controls
Correlate protein reduction with genomic editing efficiency
This methodological framework ensures that RR26 Antibody serves as a reliable tool for validating CRISPR-mediated gene disruption while controlling for potential artifacts or non-specific signals.