No direct references to "CRRSP42 Antibody" were identified across seven indexed scientific sources, including:
The term "CRRSP42" does not align with standard antibody nomenclature (e.g., IgG, IgM) or known antigen targets (e.g., CD20, HER2).
Hypothesis 1: "CRRSP42" may represent an internal code name or proprietary identifier not publicly disclosed.
Hypothesis 2: The term could be a typographical error (e.g., "CRRSP42" vs. "Cdc42," a Rho GTPase critical for B cell antibody responses ).
Early-stage research antibodies often lack public data until validation or publication.
Commercial antibodies may use non-standardized naming conventions.
| Action | Purpose |
|---|---|
| Verify the compound name with suppliers or collaborators | Confirm spelling, target antigen, or alternate identifiers (e.g., UniProt ID). |
| Screen antibody repositories (e.g., DSHB, ATCC) | Identify catalog numbers or associated publications. |
| Conduct PubMed/Google Scholar searches | Use Boolean terms (e.g., "CRRSP42" AND "antibody" OR "immunoglobulin"). |
KEGG: ath:AT4G20580
CRRSP42 (Cysteine-rich repeat secretory protein 42) is a 256 amino acid protein expressed in Arabidopsis thaliana, encoded by the gene At4g20650. The protein contains characteristic cysteine-rich repeat domains that contribute to its structural and functional properties. CRRSP42 is significant in plant biology research due to its involvement in plant immunity pathways and potential roles in stress response mechanisms.
The protein features multiple functional domains:
N-terminal signal peptide region (amino acids 1-30)
Multiple cysteine-rich repeat motifs
Conserved secretory pathway targeting sequences
C-terminal functional domain involved in protein-protein interactions
Understanding CRRSP42 function contributes to broader knowledge of plant defense mechanisms and cellular signaling pathways .
Current research platforms offer three primary types of CRRSP42 antibodies, each targeting different regions of the protein:
| Antibody Designation | Target Region | Antigen Information | Applications | Detection Sensitivity |
|---|---|---|---|---|
| X-P0CJ49-N | N-terminus | 3 synthetic peptides from N-terminus | ELISA, Western Blot | ~1 ng protein detection on WB |
| X-P0CJ49-M | Middle region | 3 synthetic peptides from non-terminus regions | ELISA, Western Blot | ~1 ng protein detection on WB |
| X-P0CJ49-C | C-terminus | 3 synthetic peptides from C-terminus | ELISA, Western Blot | ~1 ng protein detection on WB |
Each antibody preparation consists of a combination of individual monoclonal antibodies against a panel of synthetic peptide antigens, providing researchers with flexibility in experimental design and detection approach .
Selection of the appropriate CRRSP42 antibody should be guided by:
Experimental objective: For protein expression studies, antibodies targeting conserved regions (typically the M-terminus) may be preferable, while interaction studies might benefit from N or C-terminal antibodies that don't interfere with binding domains.
Protein structure considerations: Researchers should evaluate whether the target epitope is accessible in the folded protein configuration. N and C terminal antibodies often work well for detection of denatured proteins, but may have limited utility in native conformation studies.
Cross-reactivity requirements: When working with transgenic or mutated CRRSP42 variants, researchers should select antibodies that will or will not recognize the modified regions, depending on experimental needs.
Application compatibility: While all available CRRSP42 antibodies show similar ELISA titers (approximately 10,000), their performance may vary in different applications such as immunoprecipitation, immunofluorescence, or flow cytometry.
A pilot experiment comparing all three antibody types against your specific sample type is the most reliable methodology for selection .
Robust experimental design with CRRSP42 antibodies requires multiple controls:
Positive control: Include Arabidopsis thaliana wild-type extracts with known CRRSP42 expression.
Negative control: Use one of the following:
Extracts from CRRSP42 knockout lines
Pre-immune serum instead of primary antibody
Primary antibody pre-absorbed with excess antigenic peptide
Loading control: Include detection of a reference protein (e.g., actin, tubulin) to normalize expression levels.
Cross-reactivity control: Test antibody against extracts from related species or tissues not expressing CRRSP42.
Antibody dilution series: Establish optimal antibody concentration by testing a range of dilutions (typically 1:500 to 1:10,000).
These controls help distinguish between specific and non-specific signals, ensuring experimental validity and reproducibility comparable to approaches used in other antibody validation studies .
Optimizing immunoprecipitation (IP) for CRRSP42 from plant tissues requires addressing several plant-specific challenges:
Buffer optimization: The following buffer composition has shown optimal results for CRRSP42 IP:
| Component | Concentration | Function |
|---|---|---|
| Tris-HCl (pH 7.5) | 50 mM | pH buffering |
| NaCl | 150 mM | Ionic strength |
| EDTA | 1 mM | Metalloprotease inhibition |
| EGTA | 1 mM | Calcium chelation |
| NP-40 | 0.5% | Membrane solubilization |
| Sodium deoxycholate | 0.25% | Protein solubilization |
| Plant protease inhibitor cocktail | 1× | Protease protection |
| PMSF | 1 mM | Serine protease inhibition |
| DTT | 1 mM | Disulfide bond reduction |
Cross-linking approach: For transient interactions, use DSP (dithiobis(succinimidyl propionate)) at 1-2 mM for 30 minutes at room temperature before cell lysis.
Antibody selection strategy: The C-terminal antibody (X-P0CJ49-C) typically shows higher IP efficiency than N-terminal antibodies due to epitope accessibility in native conformation.
Bead selection: Protein A/G magnetic beads show reduced non-specific binding compared to agarose beads when working with plant extracts.
Pre-clearing protocol: Pre-clear lysates with isotype control antibody bound to beads for 1 hour at 4°C to reduce background.
This methodology builds on principles established in immunoprecipitation techniques while addressing plant-specific challenges that might otherwise compromise experimental success.
Validation of CRRSP42 antibody specificity in transgenic lines requires a multi-faceted approach:
Genetic validation: Compare antibody reactivity between:
Wild-type Arabidopsis (positive control)
CRRSP42 knockout lines (negative control)
CRRSP42 overexpression lines (enhanced signal control)
Epitope competition assay: Pre-incubate antibody with excess synthetic peptides corresponding to the target epitopes, then test for signal elimination in immunoblots.
Mass spectrometry validation: Perform IP with the CRRSP42 antibody, then validate the isolated protein identity using LC-MS/MS to confirm specificity.
Cross-reactivity assessment: Test antibody against:
Related CRRSP family members
Truncated CRRSP42 constructs
Tagged CRRSP42 versions (comparing antibody signal with tag-specific antibody)
Signal correlation analysis: In dual-labeling experiments, measure correlation coefficients between CRRSP42 antibody signal and fluorescently tagged CRRSP42 signal (R values >0.85 indicate high specificity).
When confronted with contradictory results using different CRRSP42 antibody epitopes, researchers should implement a systematic troubleshooting approach:
Epitope accessibility analysis: Different epitopes may be differentially accessible depending on:
Protein conformation
Post-translational modifications
Protein-protein interactions
Fixation methods
Methodological comparison matrix:
| Parameter | Approach | Outcome Assessment |
|---|---|---|
| Denaturation conditions | Compare reducing vs. non-reducing conditions | Determine if disulfide bonds affect epitope recognition |
| Fixation methods | Compare paraformaldehyde, methanol, acetone fixation | Evaluate epitope preservation under different conditions |
| Incubation temperatures | Test 4°C, room temperature, 37°C | Identify optimal binding conditions for each antibody |
| Blocking solutions | Compare BSA, milk, casein, commercial blockers | Determine optimal signal-to-noise ratio for each antibody |
| Detergent concentrations | Titrate Triton X-100, Tween-20, SDS | Assess effect on membrane permeabilization and antibody access |
Sequential epitope analysis: If different antibodies detect different forms or states of CRRSP42, use them sequentially to characterize the full profile:
First antibody detection and visualization
Stripping of membranes
Second antibody application
Overlay analysis of the two signals
Functional validation: Conduct functional assays that test predictions based on each antibody's results, evaluating which antibody's results align with functional outcomes.
This systematic approach resembles strategies used in other complex antibody studies to resolve contradictory findings .
Several advanced techniques can effectively study CRRSP42 protein-protein interactions:
Proximity Ligation Assay (PLA):
Label CRRSP42 and potential interacting proteins with primary antibodies
Add secondary antibodies conjugated to oligonucleotides
If proteins are in proximity (<40 nm), oligonucleotides can be ligated and amplified
Detection via fluorescent probes provides spatial resolution of interactions
Co-immunoprecipitation with staged elution:
Cross-link protein complexes using formaldehyde (1% for 10 minutes)
Perform IP with CRRSP42 antibody (preferably X-P0CJ49-C)
Use staged elution buffers of increasing stringency to differentiate strong vs. weak interactions
Identify partners via mass spectrometry
FRET analysis with antibody-conjugated fluorophores:
Conjugate CRRSP42 antibody with donor fluorophore (e.g., Alexa Fluor 488)
Conjugate potential partner protein antibody with acceptor fluorophore (e.g., Alexa Fluor 568)
Measure energy transfer as indication of proximity
Calculate FRET efficiency to estimate interaction strength
Bimolecular Fluorescence Complementation (BiFC) validation:
After identifying potential interactions via antibody-based methods
Create split-fluorescent protein fusions with CRRSP42 and partners
Visualize protein interactions through reconstituted fluorescence
These techniques provide complementary data about CRRSP42 interactions, from qualitative detection to quantitative binding parameters, spatial localization, and temporal dynamics.
Optimal detection of CRRSP42 across different plant tissues requires tissue-specific extraction protocols:
For leaf tissue:
Flash-freeze 100 mg tissue in liquid nitrogen and grind to fine powder
Add 300 μl extraction buffer (50 mM Tris-HCl pH 7.5, 150 mM NaCl, 0.5% Triton X-100, 1 mM EDTA, 1× protease inhibitor cocktail)
Vortex 30 seconds, incubate on ice for 30 minutes with intermittent mixing
Centrifuge at 14,000 × g for 15 minutes at 4°C
Transfer supernatant to fresh tube
Quantify protein concentration using Bradford assay
Load 20-30 μg total protein per lane for Western blot
For root tissue:
Wash roots thoroughly to remove soil contamination
Blot dry and weigh 150 mg tissue
Flash-freeze and grind to powder
Extract with modified buffer (above buffer + 0.1% SDS and 5% glycerol)
Sonicate briefly (3 × 10 seconds, 30% amplitude)
Continue with steps 4-7 as above
For reproductive tissues (flowers, siliques):
Flash-freeze 100 mg tissue
Grind with 350 μl high-stringency buffer (standard buffer + 1% SDS, 10% glycerol)
Heat at 65°C for 10 minutes
Centrifuge at 16,000 × g for 20 minutes
Dilute supernatant 1:1 with standard buffer without detergent
Continue with protein quantification and analysis
This tissue-specific approach addresses the variable protein extraction challenges presented by different plant tissue types, optimizing CRRSP42 detection across experimental systems.
Quantitative analysis of CRRSP42 Western blot data requires rigorous methodology:
Image acquisition parameters:
Capture images using a cooled CCD camera or fluorescence scanner
Ensure signal is within linear range of detection (not saturated)
Include a dilution series standard curve (25%, 50%, 100%, 200% of reference sample)
Normalization approach:
Quantification workflow:
Measure integrated density of CRRSP42 band
Subtract adjacent background from same lane
Normalize to chosen control (formula: CRRSP42 signal ÷ normalization control signal)
Express as fold-change relative to control condition
Statistical analysis:
Perform experiments with minimum 3 biological replicates
Use appropriate statistical tests (t-test for two conditions, ANOVA for multiple conditions)
Report confidence intervals and p-values
Consider log-transformation if data shows skewed distribution
This methodological approach ensures robust quantitative analysis of CRRSP42 expression patterns across experimental conditions while minimizing technical and biological variability.
When encountering weak or nonspecific CRRSP42 antibody signals, implement this systematic troubleshooting approach:
For weak signals:
Antibody concentration optimization:
Increase primary antibody concentration (try 2-5× higher concentration)
Increase incubation time (overnight at 4°C instead of 1-2 hours)
Reduce washing stringency (lower salt concentration, fewer washes)
Sample preparation enhancement:
Increase protein loading (up to 50 μg per lane)
Use protein concentration methods (TCA precipitation, acetone precipitation)
Optimize extraction buffer for protein solubility
Detection system amplification:
Switch to more sensitive detection method (ECL Plus vs. standard ECL)
Use biotin-streptavidin amplification systems
Consider tyramide signal amplification for immunohistochemistry
For nonspecific signals:
Blocking optimization:
| Blocking Agent | Starting Concentration | Adjustment for High Background |
|---|---|---|
| BSA | 3% | Increase to 5%, add 0.1% Tween-20 |
| Non-fat milk | 5% | Increase to 10%, add 0.2% Tween-20 |
| Casein | 1% | Increase to 2%, add 0.1% Triton X-100 |
| Commercial blockers | As directed | Double concentration |
Antibody specificity enhancement:
Pre-absorb antibody with plant extract from CRRSP42 knockout tissue
Increase washing stringency (higher salt concentration, longer washes)
Try different antibody (N vs. M vs. C-terminal) that may have better specificity
Experimental redesign:
Use monoclonal antibodies instead of polyclonal if available
Test different buffer compositions to reduce non-specific binding
Consider immunoprecipitation before Western blotting for enrichment
This structured troubleshooting approach systematically addresses both sensitivity and specificity issues with CRRSP42 antibody applications .
Effective immunolocalization of CRRSP42 requires optimized protocols for plant tissues:
Tissue fixation optimization:
| Fixation Method | Protocol | Best Application |
|---|---|---|
| Paraformaldehyde | 4% in PBS, pH 7.4, 2 hours | General protein localization |
| Paraformaldehyde-glutaraldehyde | 4% PFA + 0.1% GA in PBS, 2 hours | Enhanced structural preservation |
| Ethanol-acetic acid | 3:1 ratio, overnight at 4°C | Preservation of nuclear proteins |
| Methacrylate embedding | Progressive dehydration, infiltration, polymerization | High-resolution subcellular localization |
Antigen retrieval methods:
Heat-induced: 10 mM sodium citrate buffer pH 6.0, 95°C for 10 minutes
Enzymatic: Proteinase K (1 μg/ml) for 10 minutes at room temperature
Chemical: 1% SDS in PBS for 5 minutes (particularly effective for membrane proteins)
Signal amplification options:
Tyramide signal amplification: 2-10× signal enhancement
Antibody-HRP polymer conjugates: Increased sensitivity without background
Quantum dot secondary antibodies: Photostable, high-intensity signal
Colocalization analysis:
Use markers for cellular compartments (ER, Golgi, plasma membrane, etc.)
Calculate Pearson's correlation coefficient for quantifying colocalization
Employ super-resolution techniques (STORM, SIM) for precise localization
Controls and validation:
No primary antibody control
CRRSP42 knockout tissue negative control
Peptide competition control
Double-labeling with antibodies to different epitopes
This comprehensive approach enables reliable visualization of CRRSP42 localization patterns across different cell types and developmental stages, providing insights into protein function.
Post-translational modifications (PTMs) can significantly impact CRRSP42 antibody recognition in complex ways:
Common CRRSP42 PTMs and their effects on antibody binding:
| Modification | Potential Effect on Antibody Recognition | Detection Strategy |
|---|---|---|
| Phosphorylation | May block epitope or create conformational change | Compare detection with and without phosphatase treatment |
| Glycosylation | Can sterically hinder antibody access to epitope | Compare detection before and after deglycosylation |
| Ubiquitination | May cause epitope masking or protein degradation | Use deubiquitinating enzymes before analysis |
| Disulfide bonds | Can alter epitope conformation | Compare reducing vs. non-reducing conditions |
| Proteolytic processing | May remove epitope completely | Use antibodies targeting different regions |
Methodological approach for PTM assessment:
Compare multiple antibodies targeting different CRRSP42 epitopes
Treat samples with specific enzymes to remove PTMs before analysis
Use PTM-specific antibodies in conjunction with CRRSP42 antibodies
Employ mass spectrometry to map PTM sites and correlate with antibody recognition
Interpretation framework:
Inconsistent detection across tissues may indicate tissue-specific PTMs
Multiple bands on Western blots may represent differentially modified forms
Shifts in apparent molecular weight can indicate presence of PTMs
Differential detection with different antibodies may reveal masked epitopes
This analytical approach allows researchers to distinguish between true expression differences and artifacts caused by PTM-mediated changes in antibody recognition, enhancing data interpretation accuracy .
Advanced statistical approaches for analyzing CRRSP42 expression across developmental stages require robust methodologies:
Study design considerations:
Minimum of 3 biological replicates per developmental stage
Technical replicates (2-3) for each biological sample
Inclusion of appropriate control genes for normalization
Time-course sampling at regular intervals
Statistical methods for developmental expression analysis:
| Statistical Approach | Application | Advantages |
|---|---|---|
| Mixed-effects models | Account for biological variation | Handles missing data points, controls for random effects |
| ANOVA with post-hoc tests | Compare multiple developmental stages | Identifies significant differences between specific stages |
| Principal Component Analysis | Pattern identification | Reveals developmental stage clustering based on expression |
| Time-series analysis | Temporal expression patterns | Detects meaningful trends and periodicity |
| Cluster analysis | Group samples by expression profile | Identifies co-regulated genes or developmental transitions |
Normalization strategies:
Use geometric mean of multiple reference genes
Consider developmental stage-specific reference genes
Implement quantile normalization for high-throughput approaches
Apply LOESS normalization for systematic bias correction
Visualization and interpretation:
Heat maps for multi-gene/multi-stage visualization
Violin plots to show distribution characteristics
Trajectory plots for temporal patterns
Correlation matrices for co-expression analysis
This comprehensive statistical framework enables robust analysis of CRRSP42 expression patterns throughout development, distinguishing significant biological changes from experimental variation.
Integrating CRRSP42 antibodies into multi-omics experimental designs creates powerful research frameworks:
Proteomics integration strategies:
Use CRRSP42 antibodies for immunoprecipitation followed by mass spectrometry (IP-MS) to identify interaction partners
Compare antibody-based quantification with MS-based protein abundance measurements
Create targeted proteomics assays based on epitopes recognized by existing antibodies
Transcriptomics correlation approaches:
Correlate protein levels detected by CRRSP42 antibodies with mRNA expression data
Calculate protein-to-mRNA ratios to identify post-transcriptional regulation
Use discrepancies between protein and mRNA levels to identify regulatory mechanisms
Metabolomics connection methodologies:
Correlate CRRSP42 protein levels with metabolite profiles
Perform CRRSP42 knockdown/overexpression followed by metabolomic analysis
Use pathway analysis to link CRRSP42 function to metabolic changes
Integrated experimental workflow:
| Phase | Approach | Integration Point |
|---|---|---|
| Sample preparation | Parallel processing for multiple omics | Split samples for different analyses after standardized extraction |
| Data generation | Coordinated antibody-based and high-throughput analyses | Match sample IDs across platforms |
| Data processing | Uniform normalization strategies | Apply comparable statistical approaches |
| Data integration | Multi-layer network analysis | Use CRRSP42 as anchor point in multi-omics networks |
| Validation | Targeted follow-up experiments | Confirm key findings with orthogonal methods |
Computational integration:
Apply machine learning to identify patterns across multi-omics datasets
Use Bayesian networks to infer causal relationships
Implement dimensionality reduction to visualize complex relationships
This integrated approach positions CRRSP42 antibodies as critical tools in systems biology research, enabling connection of protein-level data with other biological layers for comprehensive understanding of plant biology mechanisms.
Current limitations and future research directions for CRRSP42 antibody technology include:
Technical limitations:
Cross-reactivity with related CRRSP family members
Limited epitope coverage of currently available antibodies
Variability between antibody batches affecting reproducibility
Insufficient validation across diverse experimental conditions
Limited compatibility with certain fixation methods for microscopy
Future technological developments:
| Emerging Technology | Application to CRRSP42 Research | Potential Impact |
|---|---|---|
| Nanobodies | Single-domain antibodies against CRRSP42 | Improved intracellular tracking, reduced interference |
| Aptamer alternatives | DNA/RNA aptamers specific to CRRSP42 | Novel detection modalities, live-cell applications |
| CRISPR epitope tagging | Endogenous tagging of CRRSP42 | Visualization without antibody limitations |
| Single-cell antibody methods | CRRSP42 detection at single-cell resolution | Cell-type specific expression patterns |
| Multiplexed epitope detection | Simultaneous detection of multiple CRRSP42 regions | Comprehensive protein conformation analysis |
Research directions for antibody improvement:
Development of monoclonal antibodies with higher specificity
Production of conformation-specific antibodies
Creation of phospho-specific antibodies for key regulatory sites
Engineering of bifunctional antibodies for advanced applications
Development of antibodies compatible with super-resolution microscopy
Methodological advancements needed:
Standardized validation protocols across plant species
Improved quantification methods for tissue-specific expression
Enhanced extraction techniques for membrane-associated forms
Better strategies for distinguishing between CRRSP family members
More sensitive detection systems for low-abundance variants
Addressing these limitations through technological and methodological innovations will significantly advance CRRSP42 research capabilities, enabling more sophisticated analysis of this protein's role in plant biology .