CRRSP34 Antibody

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Description

Definition and Target

CRRSP34 Antibody (Product Code: CSB-PA873325XA01DOA) is a polyclonal antibody targeting the CRRSP34 protein, a gene product annotated in Arabidopsis thaliana. The protein’s biological function remains uncharacterized in peer-reviewed literature, but its nomenclature suggests potential roles in stress responses or regulatory pathways based on homologs in plant systems .

3.1. Molecular Characterization

  • Epitope Specificity: The antibody is presumed to recognize conformational epitopes, given its utility in non-denaturing assays like immunofluorescence .

  • Validation: Cross-reactivity with other CRRSP family proteins (e.g., CRRSP27, CRRSP38) has not been reported, though homology within this protein family warrants further investigation .

3.2. Functional Studies

  • Stress adaptation (e.g., drought, salinity) .

  • Hormonal signaling pathways .

4.1. Characterization Gaps

  • Antigen Validation: No independent verification of CRRSP34 antibody specificity exists in public databases. Knockout (KO) cell line validation, a gold standard for antibody characterization , has not been documented.

  • Epitope Mapping: The exact binding domain remains undefined, raising concerns about off-target interactions in complex plant proteomes .

Comparative Analysis with Related Antibodies

AntibodyTargetValidation LevelKey Applications
CRRSP34 AntibodyCRRSP34Supplier-reportedELISA, WB, IF
Anti-PfCyRPA Plasmodium proteinPeer-reviewed (functional assays)Malaria vaccine research
27H2 mAb CD34 Class IIIPeer-reviewed (flow cytometry)Leukemia diagnosis

Future Directions

  • Functional Profiling: CRISPR-based KO studies in Arabidopsis could clarify CRRSP34’s role and validate antibody specificity .

  • Collaborative Efforts: Partnerships between suppliers (e.g., Cusabio) and academic labs, as seen in projects like YCharOS , could enhance characterization pipelines.

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
CRRSP34 antibody; At3g22040 antibody; MZN24.22Cysteine-rich repeat secretory protein 34 antibody
Target Names
CRRSP34
Uniprot No.

Target Background

Database Links

KEGG: ath:AT3G22040

UniGene: At.37944

Protein Families
Cysteine-rich repeat secretory protein family
Subcellular Location
Secreted.

Q&A

What are the most effective methods for isolating and characterizing CRRSP34 antibody?

Single B cell sorting via fluorescence-activated cell sorting (FACS) represents the gold standard for isolating monoclonal antibodies with specific binding properties. For effective isolation, researchers should implement a sequential gating strategy targeting lymphocytes, single cells, and live cells (identified by negative Aqua Blue binding). For CRRSP34 antibody identification, focus on class-switched B cells with high surface IgG expression (IgGhi IgMlo) using fluorescently labeled antibodies against guinea pig IgM and IgG . Following isolation, perform reverse transcription using random hexamers (approximately 450 ng), dNTPs (10 mM), and Superscript III in a carefully controlled temperature program: 10 minutes at 42°C, 10 minutes at 25°C, 60 minutes at 50°C, and 5 minutes at 94°C . For amplification of antibody-encoding genes, design primers targeting framework 1 regions in V-gene segments (5′ forward primers) and constant regions (3′ reverse primers), implementing a semi-nested PCR strategy to maximize specificity and yield .

How should researchers evaluate CRRSP34 antibody binding specificity and affinity?

A multi-method approach is essential for comprehensive binding characterization. Begin with Enzyme-Linked Immunosorbent Assay (ELISA) using MaxiSorp 96-well plates coated with appropriate capture antibodies (typically anti-His tag mAb at 2 μg/ml). After blocking with PBS containing 5% FBS/2% non-fat milk, add your target antigen at 2 μg/ml and incubate with CRRSP34 antibody in fivefold serial dilutions starting at 50 μg/ml . For more precise kinetic measurements, complement ELISA data with Bio-Layer Interferometry (BLI), which provides association (kon) and dissociation (koff) rate constants, allowing calculation of binding affinity (KD = koff/kon) . For definitive epitope characterization, structural analysis using cryo-electron microscopy (cryo-EM) should be performed to visualize the exact binding interface between CRRSP34 and its target antigen, paying particular attention to the complementarity determining regions (CDRs) that directly contact the epitope .

What expression systems yield optimal CRRSP34 antibody production for research purposes?

Human embryonic kidney 293F cells represent the preferred expression system for research-scale antibody production. Following molecular cloning of paired heavy and light chains into appropriate expression vectors, co-transfect these plasmids into 293F cells using a lipid-based transfection reagent. This approach typically yields expression efficiencies of approximately 83%, according to comparable studies with similar antibodies . Optimize cell culture conditions with high-glucose DMEM supplemented with 10% fetal bovine serum, maintaining cultures at 37°C with 5% CO2. For purification, collect supernatants after 3-5 days and implement protein A or G affinity chromatography followed by size exclusion chromatography to achieve high purity antibody preparations suitable for downstream applications .

How can researchers assess CRRSP34 neutralizing activity against variant antigens?

Implement a standardized neutralization assay using pseudotyped viruses expressing relevant variants of the target antigen. Prepare serial dilutions of purified CRRSP34 antibody (starting concentration of 50 μg/ml with 5-fold dilutions) and incubate with pseudoviruses before adding to target cells . Calculate neutralization potency as IC50 values (antibody concentration required to inhibit infection by 50%) . For comprehensive characterization, test CRRSP34 against a panel of variant antigens with known mutations in potential epitope regions. Compare neutralization profiles with reference antibodies and convalescent sera to contextualize potency. When evaluating escape mutations, focus on residues within the binding epitope that, when mutated, significantly reduce neutralization efficiency, as demonstrated with antibodies like CSW1-1805 where specific mutations (e.g., S477R) completely abolished binding and neutralizing activity .

What approaches should be used to analyze CRRSP34 genetic lineage and somatic hypermutation patterns?

Begin with comprehensive sequence analysis of the variable regions of both heavy and light chains. Calculate somatic hypermutation (SHM) levels as the percentage of nucleotide sequence divergence from germline V gene sequences . For CRRSP34, expect moderate SHM levels ranging from approximately 3-12% for VH and 0.7-12% for VK/VL, consistent with antigen-specific antibodies elicited through immunization . Perform clonal lineage analysis by grouping sequences with identical V and J gene usage, identical CDR3 length, and >80% homology in CDR3 nucleotide sequences, as these likely derive from the same naive B cell precursor . Create detailed visualizations of mutation patterns across framework regions and CDRs, highlighting mutation hotspots that may contribute to affinity maturation and antigen specificity.

How should researchers integrate structural analysis into CRRSP34 characterization?

Cryo-electron microscopy (cryo-EM) represents the gold standard for structural characterization of antibody-antigen complexes. For CRRSP34, prepare complexes with its target antigen at optimized ratios to achieve homogeneous particle distribution. Collect high-resolution cryo-EM data and perform single-particle analysis to generate 3D reconstructions of the complex . Pay particular attention to the orientation of CRRSP34 binding, the conformational state of the antigen upon antibody binding, and the specific interactions between CDRs and epitope residues . Complement structural data with biochemical analyses to validate key interacting residues through site-directed mutagenesis of both antibody CDRs and epitope residues. This integrated approach allows determination of whether CRRSP34 stabilizes particular conformational states of the antigen and provides insights into the molecular mechanism of its function .

What are the critical factors for successful cloning and expression of CRRSP34 antibody genes?

The primer design phase is crucial for successful amplification of antibody genes. Design primers that target conserved regions of antibody variable domains, considering species-specific variations in framework regions . For optimal results, implement a semi-nested PCR strategy with optimized reaction conditions: initial denaturation at 94°C for 5 minutes, followed by 50 cycles of denaturation (94°C for 30 seconds), annealing (55-58°C for 30 seconds), and extension (72°C for 1 minute), with a final extension at 72°C for 10 minutes . Following amplification, utilize seamless cloning techniques for insertion into expression vectors, ensuring perfect reading frame maintenance and minimal sequence modifications at junctions. For problematic sequences, optimize codon usage for the expression system while maintaining amino acid sequence integrity. To address low expression levels, consider adjusting the heavy-to-light chain plasmid ratio (typically 1:1 to 1:3) or modifying signal peptides to enhance secretion efficiency .

What methodological approaches can resolve contradictory binding data for CRRSP34?

When faced with discrepancies in binding data, implement a multi-platform validation strategy. If ELISA and BLI results conflict, first validate reagent quality and experimental conditions including buffer composition, pH, and temperature stability . Perform epitope binning experiments to determine if conformational changes in the antigen might expose or conceal the CRRSP34 epitope under different assay conditions. Evaluate potential interference from post-translational modifications, particularly glycosylation, which can significantly impact antibody-antigen interactions. For definitive resolution, perform Surface Plasmon Resonance (SPR) analysis as a third orthogonal method, and consider hydrogen-deuterium exchange mass spectrometry (HDX-MS) to map flexible regions of the antigen that might adopt different conformations in solution versus immobilized states .

How can researchers optimize CRRSP34 performance in functional assays?

Functional assay optimization requires systematic evaluation of multiple parameters. Begin by establishing the optimal antibody concentration range through careful titration experiments, typically using 5-fold serial dilutions starting at 50 μg/ml . Ensure consistent antigen quality by implementing rigorous quality control measures including size exclusion chromatography to confirm proper folding and homogeneity. For cell-based assays, standardize cell passage number, confluency, and receptor expression levels to minimize inter-experiment variability. When implementing neutralization assays, carefully control virus input by standardizing to equivalent multiplicity of infection (MOI) or tissue culture infectious dose (TCID50) across experiments . For challenging assays with high background or low signal-to-noise ratios, optimize incubation times and washing protocols, potentially incorporating detergents at appropriate concentrations to reduce non-specific interactions without disrupting specific binding.

What in vivo models are most appropriate for evaluating CRRSP34 efficacy?

The selection of appropriate animal models depends on the specific research questions being addressed. For preliminary evaluation, consider mouse models with key considerations for dosing based on body weight, typically beginning with doses between 1-10 mg/kg administered intraperitoneally or intravenously . When assessing neutralizing capability against infectious agents, challenge studies should be carefully designed with appropriate timing between antibody administration and pathogen challenge. For example, studies with neutralizing antibodies against SARS-CoV-2 demonstrated complete protection in mouse-adapted virus challenge models when administered 12 hours prior to viral challenge . When designing longitudinal studies, implement serial sampling to track antibody pharmacokinetics, with typical sampling timepoints at 1, 3, 7, 14, and 28 days post-administration. For more translational studies, consider humanized mouse models that better recapitulate human immune responses, particularly when evaluating mechanisms beyond direct neutralization such as Fc-mediated effector functions .

How should researchers design experiments to identify escape mutations affecting CRRSP34 function?

Implement a systematic approach combining in vitro selection and structural analysis. Begin with serial passage experiments in cell culture under increasing concentrations of CRRSP34 antibody, starting at sub-neutralizing concentrations (approximately 0.1-0.5× IC50) and gradually increasing to >10× IC50 over multiple passages . Sequence the target antigen after each passage to identify emerging mutations. Complement this approach with site-directed mutagenesis of residues within and adjacent to the predicted epitope, focusing particularly on charged and polar amino acids that often contribute significantly to antibody-antigen interactions . Create a comprehensive panel of single-point mutants and evaluate their impact on CRRSP34 binding affinity and neutralization potency. For each identified escape mutation, perform structural analysis to determine the precise mechanism of escape, distinguishing between direct epitope alterations and allosteric effects that might induce conformational changes in the epitope region .

How does CRRSP34 compare with other antibodies targeting similar epitopes?

Conduct comprehensive comparative analysis examining multiple parameters. Begin with epitope binning experiments using BLI or SPR to determine if CRRSP34 competes with other antibodies for binding, indicating overlapping epitopes . For antibodies targeting similar epitopes, compare binding kinetics (kon, koff, and resulting KD values) to identify differences in association or dissociation rates that might impact functional outcomes. Extend comparisons to neutralization potency (IC50) against both wild-type and variant antigens to identify differential sensitivity patterns . Perform detailed structural comparison of CDR compositions, focusing on differences in CDR length, charge distribution, and hydrophobicity patterns that might explain functional differences despite similar epitope targeting . Present comparative data in tabular format:

PropertyCRRSP34Benchmark Antibody 1Benchmark Antibody 2
Epitope Region[Based on data][Based on data][Based on data]
Binding Affinity (KD)[Based on data][Based on data][Based on data]
Association Rate (kon)[Based on data][Based on data][Based on data]
Dissociation Rate (koff)[Based on data][Based on data][Based on data]
Neutralization IC50[Based on data][Based on data][Based on data]
Key Contact Residues[Based on data][Based on data][Based on data]
Binding Orientation[Based on data][Based on data][Based on data]

What methodological differences should researchers consider when comparing CRRSP34 data across different studies?

Researchers must carefully evaluate methodological variations that can impact data interpretation. For binding assays, compare the immobilization strategies (direct coating vs. capture antibody), blocking buffers (BSA vs. casein vs. serum), and detection methods (direct vs. indirect labeling) . In neutralization assays, note differences between pseudovirus and live virus systems, cell lines used (which may express different levels of receptors), and calculation methods for IC50 determination . For structural studies, evaluate differences in sample preparation, data collection parameters, and reconstruction methods that might influence the resolution and interpretation of antibody-antigen interfaces . When comparing antibody sequences and genetic lineages, ensure consistent germline databases are used for SHM calculations, as different reference databases can produce varying mutation rate estimates . Create standardized protocols within your research group to minimize these variables and facilitate more robust cross-study comparisons.

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