CCR6 is a seven-transmembrane G protein-coupled receptor (GPCR) expressed on T cells, B cells, dendritic cells, and Langerhans cells. It binds exclusively to the chemokine CCL20 (MIP-3α), facilitating immune cell migration to sites of inflammation and epithelial tissues . The receptor plays critical roles in:
Th17 cell differentiation and recruitment in autoimmune diseases .
Host defense at mucosal surfaces, including responses to pathogens like HIV-1 and influenza .
Applications:
Specificity: Binds to the extracellular domain of CCR6 without cross-reactivity to other chemokine receptors .
Design: Fully humanized IgG-like antibody targeting both CXCR3 and CCR6 .
Mechanism:
Therapeutic Potential: Shows promise in preclinical models of autoimmune and inflammatory diseases .
Applications:
Autoimmunity: The CXCR3/CCR6 bispecific antibody reduced inflammation in models of rheumatoid arthritis by 70% compared to controls .
Viral Defense: CCR6 antibodies enhance phagocytosis of HIV-1 virions by dendritic cells, promoting antigen presentation and adaptive immunity .
Cancer: CCR6+ regulatory T cells are associated with immunosuppression in melanoma, making CCR6 a therapeutic target .
Specificity: Some CCR6 antibodies exhibit off-target binding to unrelated GPCRs, necessitating rigorous validation .
Therapeutic Optimization: Bispecific antibodies require engineering to improve half-life and reduce immunogenicity .
Variant Resistance: Antibody efficacy against CCR6 polymorphisms (e.g., CCR6-V234I) remains under investigation .
CRRSP6 antibody is a polyclonal antibody raised in rabbits against recombinant Arabidopsis thaliana CRRSP6 protein. It is specifically designed for plant research applications, with confirmed reactivity against Arabidopsis thaliana (Mouse-ear cress) samples. The antibody is supplied in liquid form with a storage buffer containing 0.03% Proclin 300 as a preservative and 50% glycerol in 0.01M PBS at pH 7.4. It is purified using antigen affinity methods and belongs to the IgG isotype .
Applications for this antibody are primarily in research contexts requiring specific detection of CRRSP6 protein, with validated applications including ELISA and Western Blot techniques. It is important to note that this antibody is designated for research use only and should not be employed in diagnostic or therapeutic procedures .
For optimal preservation of CRRSP6 antibody activity, storage at either -20°C or -80°C is recommended upon receipt. It is critical to avoid repeated freeze-thaw cycles as these can significantly compromise antibody functionality through protein denaturation and aggregation . For working stocks, aliquoting the antibody into smaller volumes before freezing is advisable to minimize freeze-thaw damage.
The storage buffer formulation (0.03% Proclin 300, 50% Glycerol, 0.01M PBS, pH 7.4) provides stability during storage, with the glycerol component helping prevent complete freezing and the associated physical damage to antibody structure. For short-term use (1-2 weeks), refrigeration at 4°C may be suitable, but extended storage should follow the freezer temperature recommendations to maintain epitope recognition capabilities.
Validation of CRRSP6 antibody specificity requires a multi-faceted approach:
Positive and negative controls: Include samples from wild-type Arabidopsis thaliana (positive control) and CRRSP6 knockout lines or non-plant samples (negative controls).
Western blot analysis: Verify that the antibody detects a band of the expected molecular weight for CRRSP6 protein. Multiple bands may indicate cross-reactivity or post-translational modifications.
Peptide competition assay: Pre-incubate the antibody with the immunizing peptide before application in your detection system. Specific binding should be significantly reduced or eliminated.
Immunoprecipitation followed by mass spectrometry: This approach can confirm that the antibody is pulling down the target protein rather than cross-reacting with other proteins.
Comparison with orthogonal detection methods: Correlate antibody-based detection with RNA expression data or fluorescent protein tagging where possible.
For optimal Western blot results with CRRSP6 antibody, the following methodological considerations are crucial:
Sample preparation:
Extract total protein from Arabidopsis thaliana tissues using a buffer containing protease inhibitors
Quantify protein concentration (Bradford or BCA assay) and normalize loading amounts (typically 20-50 μg per lane)
Denature samples in Laemmli buffer (containing SDS and β-mercaptoethanol) at 95°C for 5 minutes
Gel electrophoresis and transfer:
Separate proteins on 10-12% SDS-PAGE gels (adjust percentage based on CRRSP6's molecular weight)
Transfer to PVDF or nitrocellulose membranes at 100V for 1 hour or 30V overnight at 4°C
Antibody incubation:
Block membrane with 5% non-fat dry milk or 3-5% BSA in TBST for 1 hour at room temperature
Dilute primary CRRSP6 antibody 1:1000 to 1:2000 in blocking solution
Incubate overnight at 4°C with gentle agitation
Wash 3-4 times with TBST, 5-10 minutes each
Incubate with HRP-conjugated anti-rabbit secondary antibody (1:5000-1:10000) for 1 hour at room temperature
Wash 3-4 times with TBST, 5-10 minutes each
Detection:
Apply ECL substrate and image using a digital imaging system or X-ray film
For quantitative analysis, include loading controls (e.g., anti-actin) and use densitometry software
This protocol should be optimized for specific experimental conditions, adjusting antibody dilutions, incubation times, and washing stringency as needed to maximize signal-to-noise ratio.
For successful immunolocalization of CRRSP6 in plant tissues, the following protocol provides a methodological framework:
Tissue fixation and embedding:
Fix freshly harvested tissues in 4% paraformaldehyde in PBS (pH 7.4) for 4-6 hours under vacuum
Dehydrate through an ethanol series (30%, 50%, 70%, 85%, 95%, 100%)
Infiltrate and embed in either paraffin wax (for light microscopy) or LR White resin (for electron microscopy)
Section tissues at 5-10 μm thickness for paraffin or 1 μm for resin
Immunostaining procedure:
For paraffin sections: dewax in xylene and rehydrate through an ethanol series
Perform antigen retrieval if necessary (citrate buffer pH 6.0, 95°C for 10 minutes)
Block with 2-3% BSA, 5% normal goat serum in PBS for 1 hour
Apply primary CRRSP6 antibody (1:100 to 1:500 dilution) and incubate overnight at 4°C in a humid chamber
Wash extensively with PBS (3-5 times, 5-10 minutes each)
Apply fluorophore-conjugated secondary antibody (e.g., Alexa Fluor 488 goat anti-rabbit, 1:200-1:500) for 1-2 hours at room temperature
Wash with PBS
Counterstain nuclei with DAPI (1 μg/ml) for 5-10 minutes
Mount in anti-fade medium
Controls:
Include a negative control by omitting primary antibody
Include tissues from CRRSP6 knockout plants if available
Consider a peptide competition control
Confocal laser scanning microscopy is recommended for visualization, with sequential scanning to avoid bleed-through when using multiple fluorophores.
Determining optimal antibody dilutions is critical for obtaining specific signals while minimizing background. A systematic titration approach is recommended:
For Western blotting:
Prepare a dilution series of primary antibody (e.g., 1:500, 1:1000, 1:2000, 1:5000, 1:10000)
Use identical sample loads and blotting conditions for all dilutions
Process blots simultaneously with different antibody dilutions
Evaluate signal-to-noise ratio for each dilution
Select the highest dilution that produces clear specific bands with minimal background
For ELISA:
Perform a checkerboard titration with both antigen and antibody dilutions
Plot signal-to-noise ratios to identify optimal concentrations
Typical starting ranges: 1:100 to 1:10,000 for primary antibody
For Immunohistochemistry/Immunofluorescence:
Begin with manufacturer's recommended dilution range (typically 1:100 to 1:500)
Test multiple serial dilutions on identical tissue sections
Include appropriate controls for each dilution
Assess specificity, signal intensity, and background staining
| Application | Recommended Initial Dilution Range | Optimization Parameters |
|---|---|---|
| Western Blot | 1:1000 - 1:5000 | Band intensity, background |
| ELISA | 1:500 - 1:5000 | Signal:noise ratio, dynamic range |
| Immunofluorescence | 1:100 - 1:500 | Signal intensity, specificity, background |
| Immunoprecipitation | 1:50 - 1:200 | Pull-down efficiency, non-specific binding |
Optimization should be performed for each new lot of antibody, as polyclonal antibodies may exhibit batch-to-batch variation in titer and specificity.
Non-specific binding is a common challenge with antibodies that can compromise experimental interpretation. Several methodological approaches can minimize this issue:
Blocking optimization:
Test different blocking agents (BSA, casein, normal serum, commercial blockers)
Increase blocking time (2-3 hours or overnight at 4°C)
Add 0.1-0.3% Triton X-100 or Tween-20 to reduce hydrophobic interactions
Antibody incubation conditions:
Increase antibody dilution incrementally
Add 0.1-0.5M NaCl to reduce ionic interactions
Include 0.1% detergent in antibody dilution buffer
Pre-absorb antibody with non-target tissues/proteins
Washing protocol enhancement:
Increase number of washes (5-6 times)
Extend washing duration (10-15 minutes each)
Use more stringent washing conditions (higher salt concentration)
Additional strategies:
For Western blots: Cut membranes to include only the region of interest
For immunohistochemistry: Use highly purified antibody preparations
Consider using monovalent Fab fragments if cross-linking is an issue
Pre-clear samples before immunoprecipitation
If non-specific binding persists despite optimization, consider alternative detection methods or requesting a different lot of the antibody from the manufacturer.
Variability in CRRSP6 detection can stem from multiple sources that require systematic investigation:
Antibody-related factors:
Batch-to-batch variation in polyclonal antibody preparations
Degradation due to improper storage or repeated freeze-thaw cycles
Inconsistent aliquoting leading to concentration differences
Sample preparation variables:
Variations in protein extraction efficiency
Incomplete protein denaturation for Western blotting
Inconsistent fixation protocols for immunohistochemistry
Protein modification or degradation during processing
Technical execution factors:
Variations in incubation times and temperatures
Inconsistent washing procedures
Fluctuations in detection reagent activity
Variations in equipment performance (imagers, plate readers)
Biological variables:
Growth stage and physiological state of plant samples
Environmental stress factors affecting protein expression
Circadian or diurnal variations in protein levels
Tissue-specific expression patterns
To minimize variability, implement rigorous standardization:
Use the same antibody lot for related experiments
Include appropriate internal controls in each experiment
Standardize all protocols with detailed SOPs
Process comparative samples simultaneously
Implement appropriate normalization strategies for quantitative analyses
When reporting results, document all known sources of variation and perform sufficient biological and technical replicates to establish statistical significance.
Distinguishing genuine immunofluorescence signals from artifacts requires comprehensive controls and careful experimental design:
Essential controls:
Omission of primary antibody: To assess non-specific binding of secondary antibody
Pre-immune serum control: Use serum from the same animal before immunization
Absorption control: Pre-incubate antibody with excess antigen to block specific binding
Genetic controls: Compare wild-type to CRRSP6 knockout or knockdown tissues
Secondary antibody only: To identify autofluorescence and non-specific binding
Technical approaches to reduce artifacts:
Autofluorescence reduction:
Include tissue treatment with sodium borohydride (0.1% for 10 minutes)
Use Sudan Black B (0.1-0.3% in 70% ethanol) to quench plant autofluorescence
Implement spectral unmixing during confocal microscopy
Cross-validation strategies:
Confirm localization with multiple antibodies against different epitopes
Use orthogonal approaches (e.g., GFP tagging, in situ hybridization)
Apply super-resolution microscopy techniques for detailed localization
Image acquisition optimization:
Use sequential scanning in multi-channel imaging
Implement appropriate negative controls for threshold setting
Acquire z-stacks to confirm three-dimensional localization patterns
Quantitative assessment:
Compare signal intensity to background in control samples
Apply statistical tests to determine significance of observed differences
Use colocalization analysis with known organelle markers
When specific signal is significantly higher than in controls and follows expected biological distribution patterns (e.g., subcellular localization consistent with protein function), confidence in genuine CRRSP6 detection is increased.
While CRRSP6 antibody was primarily validated for ELISA and Western blot applications , its potential application in ChIP requires careful methodological considerations:
ChIP protocol adaptation for plant tissues:
Tissue preparation and crosslinking:
Harvest 1-2g of fresh Arabidopsis tissue
Crosslink with 1% formaldehyde under vacuum for 10-15 minutes
Quench with 125mM glycine for 5 minutes
Wash thoroughly with ice-cold PBS
Flash-freeze in liquid nitrogen and grind to fine powder
Chromatin extraction and sonication:
Extract chromatin in ChIP extraction buffer (50mM HEPES pH 7.5, 150mM NaCl, 1mM EDTA, 1% Triton X-100, 0.1% sodium deoxycholate, 0.1% SDS, protease inhibitors)
Sonicate to achieve DNA fragments of 200-500bp (optimize sonication time and amplitude)
Centrifuge to remove debris and save input sample (5-10%)
Immunoprecipitation with CRRSP6 antibody:
Pre-clear chromatin with protein A/G beads
Incubate cleared chromatin with 2-5μg CRRSP6 antibody overnight at 4°C
Add protein A/G beads and incubate 2-3 hours
Perform sequential washes with increasing stringency
Elute protein-DNA complexes and reverse crosslinks (65°C overnight)
Purify DNA using column purification
Analysis:
Perform qPCR with primers targeting regions of interest
Calculate enrichment relative to input and IgG control
For genome-wide studies, prepare libraries for ChIP-seq
Validation requirements:
Confirm antibody specificity in ChIP conditions
Establish optimal antibody-to-chromatin ratios
Include appropriate controls (IgG, input, positive/negative genomic regions)
Validate enriched regions by independent methods
ChIP applications often require higher antibody concentrations than Western blotting, so optimization of antibody amount is critical for successful experiments.
Quantitative analysis of CRRSP6 protein levels requires a systematic approach combining proper sampling, extraction, and detection methodologies:
1. Tissue preparation and protein extraction:
Harvest tissues at consistent developmental stages and time points
Sample multiple biological replicates (minimum n=3)
Extract total protein using optimized buffer (e.g., 50mM Tris-HCl pH 7.5, 150mM NaCl, 1% Triton X-100, 0.5% sodium deoxycholate, protease inhibitors)
Determine protein concentration by Bradford or BCA assay
Normalize all samples to equal protein concentration
2. Quantitative Western blot analysis:
Load equal amounts of total protein (20-50μg) alongside a dilution series of recombinant CRRSP6 standard
Include housekeeping protein controls (e.g., actin, tubulin, GAPDH)
Transfer using a system that ensures quantitative transfer (validate with Ponceau staining)
Use fluorescent secondary antibodies for wider dynamic range and better quantification
Image using a calibrated fluorescence scanner or digital imaging system
Analyze using appropriate software with background subtraction
3. ELISA-based quantification:
Develop a sandwich ELISA using CRRSP6 antibody as capture or detection antibody
Generate a standard curve using purified recombinant CRRSP6 protein
Ensure samples fall within the linear range of the standard curve
Run technical triplicates for all samples and standards
Calculate concentration using four-parameter logistic regression
4. Mass spectrometry-based approaches:
Implement targeted proteomics (SRM/MRM) for absolute quantification
Use isotopically labeled peptide standards corresponding to unique CRRSP6 peptides
Extract proteins and perform tryptic digestion
Quantify using triple quadrupole mass spectrometry
Calculate protein abundance based on standard curves
Comparative analysis table:
| Method | Sensitivity | Specificity | Throughput | Quantitative Accuracy | Technical Complexity |
|---|---|---|---|---|---|
| Western blot | Medium | High | Low-Medium | Medium | Medium |
| ELISA | High | Medium-High | Medium-High | High | Medium |
| Mass spectrometry | Very High | Very High | Low | Very High | High |
For most accurate results, combine multiple methodologies and include appropriate controls and statistical analyses.
Co-immunoprecipitation (Co-IP) experiments to study CRRSP6 protein-protein interactions require careful experimental design and extensive controls:
Experimental protocol:
Tissue preparation and protein extraction:
Harvest 3-5g of Arabidopsis tissue under appropriate conditions
Grind in liquid nitrogen to fine powder
Extract in mild lysis buffer (50mM Tris-HCl pH 7.5, 150mM NaCl, 0.5-1% NP-40 or Triton X-100, 1mM EDTA, protease inhibitors)
Centrifuge at 14,000g for 15 minutes at 4°C
Pre-clear lysate with protein A/G beads for 1 hour at 4°C
Immunoprecipitation:
Incubate pre-cleared lysate with 2-5μg CRRSP6 antibody overnight at 4°C with gentle rotation
Add protein A/G beads and incubate for 2-3 hours at 4°C
Collect beads by centrifugation
Wash 4-5 times with wash buffer (lysis buffer with reduced detergent)
Elute protein complexes with SDS sample buffer or by competitive elution
Analysis of interacting partners:
Separate eluted proteins by SDS-PAGE
Analyze by:
a) Western blotting with antibodies against suspected interacting partners
b) Mass spectrometry for unbiased identification of interacting proteins
Critical controls:
Input control: Analysis of pre-IP lysate to confirm target protein presence
IgG control: Parallel IP with non-specific IgG from the same species
Reverse Co-IP: Immunoprecipitate with antibodies against suspected interacting partners
Negative control tissue: Use CRRSP6 knockout/knockdown plants
DNase/RNase treatment: To exclude DNA/RNA-mediated interactions
Validation strategies:
Confirm interactions through alternative methods (yeast two-hybrid, FRET, BiFC)
Demonstrate biological relevance through functional assays
Map interaction domains using truncation or mutation constructs
Determine interaction specificity through competition experiments
Addressing potential artifacts:
Use chemical crosslinking to stabilize transient interactions
Consider native PAGE for intact complex analysis
Test interaction dependency on specific conditions (salt concentration, pH, cofactors)
Validate interactions in vivo using split-reporter systems
For comprehensive interactome analysis, combine Co-IP with quantitative proteomics approaches like SILAC or TMT labeling to distinguish specific from non-specific interactions with statistical confidence.
Discrepancies between protein levels and gene expression data are common in biological systems and require careful analysis:
Potential biological explanations:
Post-transcriptional regulation:
microRNA-mediated mRNA degradation
RNA binding protein-mediated stabilization or destabilization
Alternative splicing affecting protein production
Differences in mRNA translation efficiency
Post-translational regulation:
Variations in protein half-life due to ubiquitination or other degradation signals
Protein stabilization through complex formation or post-translational modifications
Protein compartmentalization affecting antibody accessibility
Conditional protein degradation pathways
Temporal dynamics:
Time lag between transcription and translation
Different turnover rates for mRNA versus protein
Sampling at different points in regulatory cycles
Methodological considerations:
Technical artifacts:
Antibody cross-reactivity or specificity issues
RNA quality or primer specificity problems
Sample processing differences between protein and RNA workflows
Different sensitivities of detection methods
Experimental design factors:
Cell/tissue heterogeneity in samples
Developmental or environmental variables
Circadian or other temporal effects
Resolution strategies:
Validation experiments:
Perform time-course analyses to capture temporal relationships
Use multiple antibodies targeting different epitopes
Employ orthogonal protein detection methods
Use reporter gene constructs to monitor transcription and translation separately
Comprehensive analysis:
Incorporate translatomics (ribosome profiling) to assess translation efficiency
Measure protein stability through cycloheximide chase experiments
Assess post-translational modifications with specific antibodies
Monitor subcellular localization changes
When interpreting contradictory results, consider that such discrepancies often reveal important biological regulatory mechanisms rather than experimental errors, and may lead to novel insights into CRRSP6 regulation.
Elucidating CRRSP6 function in stress response pathways requires multi-faceted experimental approaches:
Genetic manipulation strategies:
Loss-of-function approaches:
CRISPR/Cas9-mediated knockout lines
T-DNA insertion mutants (if available)
RNA interference (RNAi) for partial knockdown
Inducible silencing systems for temporal control
Gain-of-function approaches:
Constitutive overexpression under CaMV 35S promoter
Inducible overexpression systems (e.g., estradiol-inducible)
Tissue-specific expression using appropriate promoters
Expression of tagged versions for localization studies
Stress exposure experimental design:
Controlled stress application:
Precise control of stress intensity and duration
Gradual versus acute stress imposition
Single versus combined stresses
Recovery phases after stress removal
Stress types to investigate:
Abiotic: drought, salinity, temperature, oxidative, light
Biotic: pathogens, herbivores, beneficial microbes
Physiological: nutrient deficiency, hormonal treatments
Comprehensive phenotyping:
Physiological parameters:
Growth metrics (biomass, height, leaf area)
Photosynthetic parameters (quantum yield, electron transport rate)
Water relations (relative water content, stomatal conductance)
Metabolite profiles (primary/secondary metabolites)
Cellular and molecular phenotypes:
Reactive oxygen species detection
Cell death quantification
Hormone level measurements
Protein post-translational modifications
Molecular interaction analysis:
Temporal expression profiling:
Time-course analysis of gene/protein expression after stress
Correlation with physiological responses
Comparison between different tissues/cell types
Regulatory network analysis:
Transcription factor binding studies (ChIP-seq)
Protein-protein interaction networks (Co-IP, Y2H)
Genetic interaction studies (double mutants, suppressors)
Statistical considerations:
Experimental design rigor:
Adequate biological replication (n≥5 for most physiological assays)
Inclusion of appropriate controls for each genotype/treatment
Randomized block designs to control for environmental variation
Power analysis to determine sample size
Data analysis approaches:
ANOVA with appropriate post-hoc tests for multiple comparisons
Multivariate analyses for complex phenotypic datasets
Correlation analyses between molecular and physiological parameters
This comprehensive experimental approach allows for robust functional characterization of CRRSP6 in stress response contexts.
Translating CRRSP6 research into agricultural applications requires careful consideration of multiple factors spanning basic science to field implementation:
Mechanistic understanding prerequisites:
Functional characterization depth:
Comprehensive understanding of CRRSP6's role in plant physiology
Identification of downstream pathways and regulatory networks
Characterization across multiple environmental conditions
Potential pleiotropic effects of manipulation
Genetic diversity considerations:
Conservation of CRRSP6 function across crop species
Allelic variation affecting protein function or regulation
Potential redundancy with paralogs or related proteins
Species-specific regulatory mechanisms
Genetic modification strategies:
Transgenic approaches:
Promoter selection for optimal expression patterns
Codon optimization for target crop species
Selection of appropriate terminators and regulatory elements
Consideration of position effects and transgene stability
Gene editing considerations:
CRISPR/Cas9 target site selection to minimize off-targets
HDR versus NHEJ strategies based on desired outcome
Multiplex editing for pathway engineering
Regulatory status of gene-edited crops in target markets
Phenotypic evaluation framework:
Controlled environment testing:
Standardized stress protocols mimicking field conditions
Multiple stress combinations and intensities
Assessment across developmental stages
Yield component analysis under stress
Field trial design:
Multi-location trials across diverse environments
Multiple growing seasons to capture year-to-year variation
Appropriate statistical design (RCBD, split-plot)
Comprehensive agronomic trait assessment
Potential trade-offs and limitations:
Yield-stress resistance balance:
Potential growth penalties under non-stress conditions
Impact on reproductive development and yield components
Effects on crop quality parameters
Energy allocation trade-offs
Environmental interaction factors:
Genotype × environment interactions
Climate change adaptation considerations
Soil type and microbiome interactions
Management practice dependencies
Regulatory and commercialization pathway:
Regulatory considerations:
Molecular characterization requirements
Food and environmental safety assessments
Intellectual property protection strategy
Regulatory differences across markets
Technology deployment strategy:
Integration with existing germplasm
Stacking with complementary traits
Seed production and quality considerations
Farmer education and adoption strategy
Successful agricultural implementation requires interdisciplinary collaboration between molecular biologists, plant physiologists, agronomists, and regulatory specialists to navigate the complex path from laboratory findings to field application.