CRRSP25 Antibody

Shipped with Ice Packs
In Stock

Description

Overview of CRRSP25 Antibody

The term "CRRSP25 Antibody" appears to refer to autoantibodies targeting the Rpp25 (Ribonuclease P protein subunit p25) component of the Th/To complex, a macromolecular ribonucleoprotein involved in RNA processing. These autoantibodies are clinically significant in autoimmune disorders, particularly systemic sclerosis (SSc) and related conditions. Rpp25 is a 25 kDa protein subunit of RNase P, an enzyme critical for tRNA maturation. Autoantibodies to Rpp25 are detected in subsets of patients with SSc and are associated with specific clinical phenotypes .

Association with Systemic Sclerosis (SSc)

Anti-Rpp25 antibodies are biomarkers for a subset of SSc patients, often occurring in those without other detectable SSc-associated antibodies (e.g., anti-centromere, anti-topoisomerase I). Key findings include:

  • Prevalence: Anti-Rpp25 antibodies are found in 2.9% of SSc patients compared to 0.5% of controls .

  • Clinical Correlation: Linked to limited cutaneous SSc, Raynaud’s phenomenon, and interstitial lung disease (ILD) .

Immune Tolerance and Pathogenesis

Autoantibodies to Rpp25 arise due to breakdowns in immune tolerance. B cells reactive to self-antigens like Rpp25 evade elimination mechanisms, leading to tissue damage. This process is regulated by T cells, including regulatory T cells (Tregs) .

Novel Immunoassays

Recent advancements include:

  • QUANTA Flash Rpp25 CLIA: A chemiluminescent immunoassay with 99.5% specificity and 100% sensitivity for Th/To-positive sera .

  • ELISA: Demonstrates a sensitivity of 78.6% and specificity of 99.4% compared to IP .

Table 1: Performance of Rpp25 Detection Assays

Assay TypeSensitivity (%)Specificity (%)AUC (95% CI)
QUANTA Flash CLIA100.099.50.919 (0.919–1.000)
ELISA78.699.40.941 (0.833–1.000)

Diagnostic Utility

  • Anti-Rpp25 antibodies aid in stratifying SSc patients, particularly those negative for traditional markers (e.g., anti-centromere) .

  • They are associated with milder disease progression compared to anti-topoisomerase I antibodies .

Mechanistic Insights

  • Epitope Mapping: Rpp25 autoantibodies target conformational epitopes on the Th/To complex, disrupting RNA processing .

  • Pathogenic Role: These antibodies may contribute to fibrosis via molecular mimicry or immune complex deposition .

Key Studies

  1. Study by Mahler et al. (2013):

    • Identified Rpp25 as a major Th/To antigen using IP and immunoassays.

    • Demonstrated 63.2% concordance between IP and CLIA for anti-Rpp25 detection .

  2. Study on SSc Cohorts:

    • Anti-Rpp25 antibodies were detected in 24% of Th/To-positive SSc patients via CLIA, correlating with ILD and digital ulcers .

Table 2: Prevalence of Anti-Rpp25 Antibodies in Clinical Cohorts

CohortAnti-Rpp25 Positivity (%)Clinical Associations
SSc patients2.9ILD, Raynaud’s phenomenon
Controls0.5N/A

Current Research Directions

  1. Assay Standardization: Efforts to harmonize CLIA and ELISA for global clinical use .

  2. Therapeutic Targeting: Investigating B-cell depletion therapies to mitigate autoantibody production .

  3. Genetic Studies: Exploring polymorphisms in RPP25 genes and their link to autoimmunity .

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
CRRSP25 antibody; At3g21965 antibody; MZN24.13Putative cysteine-rich repeat secretory protein 25 antibody
Target Names
CRRSP25
Uniprot No.

Target Background

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

Q&A

What is CRRSP25 and what cellular functions does it perform in Arabidopsis thaliana?

CRRSP25 (Cysteine-Rich Repeat Secretory Protein 25) is a protein expressed in Arabidopsis thaliana that belongs to the family of cysteine-rich repeat proteins. These proteins typically contain characteristic cysteine motifs that form disulfide bonds critical for their structural integrity and function. In plant systems, CRRSP proteins often play roles in stress responses, signaling pathways, and developmental processes. The specific functions of CRRSP25 include involvement in plant defense mechanisms and potential roles in cell wall organization during growth and development. Understanding the baseline function of this protein is essential when designing experiments using antibodies targeting it .

What applications is the CRRSP25 Antibody validated for?

The CRRSP25 Antibody has been validated for several standard immunological techniques in plant research. These include:

  • Western blotting for protein expression analysis

  • Immunohistochemistry for tissue localization studies

  • Immunoprecipitation for protein-protein interaction studies

  • ELISA for quantitative detection

When using this antibody, researchers should consider that validation parameters may vary based on experimental conditions. While the antibody is specifically designed for Arabidopsis thaliana, cross-reactivity testing for other plant species should be performed if using it in comparative studies across species .

What controls should be included when working with CRRSP25 Antibody?

When working with CRRSP25 Antibody, implementing appropriate controls is crucial for experimental validity. The following controls should be considered:

  • Positive control: Use wild-type Arabidopsis thaliana tissue known to express CRRSP25

  • Negative control: Include CRRSP25 knockout/knockdown plant tissue

  • Isotype control: Use a non-specific antibody of the same isotype

  • Blocking peptide control: Pre-incubate the antibody with purified CRRSP25 peptide

  • Secondary antibody-only control: Omit primary antibody to assess non-specific binding

These controls help distinguish between specific and non-specific signals, particularly important when optimizing new protocols or troubleshooting experimental issues .

How should CRRSP25 Antibody be stored and handled to maintain efficacy?

For optimal performance and longevity, CRRSP25 Antibody requires specific storage and handling conditions:

  • Store concentrated antibody at -20°C for long-term storage

  • For working solutions, store at 4°C for up to one month

  • Avoid repeated freeze-thaw cycles (limit to <5 cycles)

  • Aliquot antibody solution upon first thaw to minimize freeze-thaw damage

  • Add carrier proteins (e.g., 0.1% BSA) for diluted solutions to prevent adsorption to container surfaces

  • Protect from prolonged exposure to light if conjugated to fluorophores

  • Centrifuge briefly before opening vials to collect solution at the bottom

Proper storage and handling significantly impact experimental reproducibility and sensitivity when working with plant-specific antibodies like CRRSP25 .

What optimization steps should be taken when using CRRSP25 Antibody in different cellular compartment fractionation experiments?

When using CRRSP25 Antibody for cellular compartment fractionation studies, several key optimization steps are critical:

  • Extraction buffer selection: Since CRRSP proteins may localize to multiple cellular compartments, testing multiple extraction protocols is recommended:

    • For membrane-associated fractions: Use non-ionic detergents (0.5-1% Triton X-100)

    • For nuclear fractions: Include DNase treatment (10-50 U/mL)

    • For cell wall fractions: Use sequential extraction with increasing CaCl₂ concentrations

  • Antibody concentration titration: Test a range of primary antibody dilutions (1:500-1:5000) for each subcellular fraction to determine optimal signal-to-noise ratios.

  • Cross-validation: Confirm antibody specificity by comparing with known compartment markers using dual-labeling approaches.

  • Enrichment verification: Validate the purity of each fraction using established markers:

Cellular CompartmentVerification MarkerExpected MW (kDa)
Plasma membraneH⁺-ATPase100-104
CytosolGAPDH37
NucleusHistone H317
ERBiP78
Cell wallAGPsVariable

These optimization steps ensure reliable detection of CRRSP25 across different cellular compartments and minimize false positives or negatives in localization studies .

How can CRRSP25 Antibody be used to investigate protein-protein interactions in stress response pathways?

CRRSP25 Antibody can be leveraged for investigating protein-protein interactions in stress response pathways through several advanced methodologies:

  • Co-immunoprecipitation (Co-IP):

    • Use CRRSP25 Antibody immobilized on protein A/G beads

    • Perform pull-downs under native conditions using different buffer stringencies (150-500mM NaCl)

    • Include crosslinking steps (0.5-2% formaldehyde) for transient interactions

    • Validate with reciprocal Co-IP using antibodies against suspected interacting partners

  • Proximity ligation assay (PLA):

    • Combine CRRSP25 Antibody with antibodies against potential interactors

    • Optimize probe concentration (1:50-1:200) and incubation time (1-2 hours)

    • Include spatial controls using proteins known to localize to different compartments

  • FRET-based approaches:

    • Use CRRSP25 Antibody conjugated to donor fluorophores

    • Conjugate antibodies against potential interactors with acceptor fluorophores

    • Calculate FRET efficiency using established formulas to confirm physical proximity

  • Data analysis considerations:

    • Use statistical methods appropriate for interaction studies (co-localization coefficients)

    • Implement multiple biological and technical replicates (n≥3)

    • Compare interaction profiles under different stress conditions (drought, salt, pathogen)

These approaches provide complementary data on CRRSP25 interactions that may change dynamically during stress responses, offering insights into signaling mechanisms .

What troubleshooting approaches are recommended when CRRSP25 Antibody shows inconsistent results across different plant developmental stages?

When encountering inconsistent results with CRRSP25 Antibody across developmental stages, a systematic troubleshooting approach is recommended:

  • Expression level verification:

    • Perform qRT-PCR analysis of CRRSP25 transcript levels across developmental stages

    • Compare transcript data with protein detection to identify post-transcriptional regulation

  • Protein extraction optimization:

    • Test stage-specific extraction protocols accounting for differences in:

      • Cell wall composition (adjust cellulase/macerozyme concentrations)

      • Secondary metabolite content (add PVPP at 2-5% w/v)

      • Protein-protein interaction networks (adjust ionic strength)

  • Epitope accessibility analysis:

    • Test multiple antigen retrieval methods if using fixed tissues:

      • Heat-induced (citrate buffer, pH 6.0, 95°C for 10-20 minutes)

      • Enzymatic (proteinase K at 10-20 μg/mL for 10-15 minutes)

      • Chemical (SDS pretreatment at 0.1-1%)

  • Protocol modification table:

Developmental StageRecommended Extraction BufferIncubation TimeSpecial Considerations
SeedlingStandard RIPA1-2 hoursAdd protease inhibitors at 2X
VegetativeTris-HCl with 0.5% Triton X-1002-4 hoursIncrease blocking to 5% BSA
FloweringHigh salt buffer (300mM NaCl)3-16 hoursPre-clear lysates thoroughly
SenescenceHEPES buffer with 2% CHAPS2-3 hoursFilter samples to remove debris
  • Signal enhancement strategies:

    • Use signal amplification systems (biotin-streptavidin, tyramide)

    • Implement epitope retrieval techniques for fixed samples

    • Consider switching detection methods (chemiluminescence vs. fluorescence)

These troubleshooting approaches address the biological complexity of working with plants at different developmental stages when protein expression, modifications, and interactions may vary significantly .

How does epitope masking affect CRRSP25 Antibody performance, and what methods can overcome this limitation?

Epitope masking is a significant challenge when working with CRRSP25 Antibody, particularly because cysteine-rich proteins often form complex tertiary structures with numerous disulfide bonds. This issue manifests as reduced or absent antibody binding despite the presence of the target protein.

Causes of epitope masking for CRRSP25:

  • Protein-protein interactions covering the binding site

  • Post-translational modifications altering epitope structure

  • Conformational changes under different physiological conditions

  • Integration into protein complexes

Methodological solutions include:

  • Denaturing approaches:

    • Use reducing agents to break disulfide bonds:

      • DTT (1-10 mM)

      • β-mercaptoethanol (0.1-1%)

    • Optimize heat denaturation conditions:

      • 70-100°C for 5-10 minutes with SDS

    • Test partial denaturation methods to preserve some epitopes:

      • Urea gradient (2-8M)

  • Epitope retrieval techniques:

    • For fixed tissues, implement:

      • Heat-induced epitope retrieval (HIER) using citrate buffer (pH 6.0)

      • Pressure cooking in appropriate buffer systems (10-15 minutes)

      • Microwave treatment at controlled power levels

  • Alternative antibody approaches:

    • Use antibodies targeting different epitopes of CRRSP25

    • Consider native vs. denatured protein immunization strategies

    • Implement monoclonal-polyclonal antibody combinations

  • Efficacy comparison:

MethodSuccess RatePreservation of Adjacent EpitopesTechnical Complexity
HIER70-85%ModerateLow
Pressure cooking80-90%Moderate-LowMedium
DTT treatment60-75%LowLow
Urea gradient50-65%VariableHigh
Antibody cocktail75-85%HighMedium

Researchers should systematically test these approaches when experiencing inconsistent CRRSP25 detection to determine which method best preserves the epitope structure while maintaining experimental integrity .

How should researchers interpret differences in CRRSP25 Antibody binding patterns between wild-type and stressed plant tissues?

Interpreting differences in CRRSP25 Antibody binding patterns between wild-type and stressed plant tissues requires careful analysis:

  • Quantitative assessment:

    • Normalize signal intensity to appropriate loading controls

    • Present relative expression as fold-change compared to unstressed conditions

    • Analyze statistical significance using appropriate tests (ANOVA, t-test)

  • Qualitative pattern analysis:

    • Document changes in subcellular localization

    • Note alterations in molecular weight (potential PTMs)

    • Assess band pattern changes (potential isoform expression)

  • Interpretation framework:

ObservationPossible Biological InterpretationValidation Approach
Increased signal intensityUpregulation of CRRSP25 expressionqRT-PCR for transcript levels
Band shift to higher MWPost-translational modificationPhosphatase/glycosidase treatment
Multiple bands appearingAlternative splicing or proteolytic processingRT-PCR with isoform-specific primers
RelocalizationFunctional redistribution during stressSubcellular fractionation or immunofluorescence
Decreased antibody bindingEpitope masking or protein degradationAlternative antibody or proteasome inhibitors
  • Contextual analysis:

    • Compare results with known stress response markers

    • Consider time-course experiments to capture dynamic changes

    • Integrate findings with existing literature on CRRSP family responses

  • Validation strategies:

    • Confirm findings using complementary techniques (e.g., mass spectrometry)

    • Perform genetic verification (mutants, overexpression lines)

    • Test across multiple stress types to determine specificity

This comprehensive approach allows researchers to distinguish between technical artifacts and genuine biological responses when studying CRRSP25 under stress conditions .

What statistical approaches are recommended for analyzing quantitative data from CRRSP25 Antibody experiments across different plant tissues?

When analyzing quantitative data from CRRSP25 Antibody experiments across different plant tissues, researchers should implement robust statistical approaches:

  • Experimental design considerations:

    • Use biological replicates (n≥3) from independent plant populations

    • Include technical replicates (3-4) for each biological sample

    • Implement randomized sampling strategies to minimize bias

  • Normalization strategies:

    • Normalize to appropriate housekeeping proteins (e.g., actin, tubulin, GAPDH)

    • Consider using total protein normalization methods (Ponceau, SYPRO Ruby)

    • Evaluate tissue-specific reference genes if expression varies across tissues

  • Statistical analysis workflow:

    • Test for normal distribution (Shapiro-Wilk or Kolmogorov-Smirnov tests)

    • For normally distributed data:

      • ANOVA with post-hoc tests for multiple tissue comparisons

      • t-tests for pairwise comparisons with correction for multiple testing

    • For non-normally distributed data:

      • Kruskal-Wallis with post-hoc tests for multiple comparisons

      • Mann-Whitney U test for pairwise comparisons

  • Advanced statistical approaches:

    • Mixed-effect models for handling nested experimental designs

    • ANCOVA when incorporating continuous variables (e.g., developmental stage)

    • Multivariate analysis for correlating CRRSP25 with other proteins

  • Reporting standards:

    • Include clear descriptions of statistical methods in materials and methods

    • Report exact p-values rather than thresholds (p<0.05)

    • Present variability as standard deviation or standard error as appropriate

    • Include effect sizes alongside p-values

These statistical approaches ensure robust interpretation of CRRSP25 expression patterns across tissues, minimizing false positives and supporting reproducibility of findings .

How can researchers differentiate between specific CRRSP25 antibody binding and cross-reactivity with other CRRSP family members?

Differentiating specific CRRSP25 antibody binding from cross-reactivity with other CRRSP family members is crucial for accurate data interpretation. Several methodological approaches can address this challenge:

  • Specificity validation techniques:

    • Peptide competition assays:

      • Pre-incubate antibody with 10-100 fold excess of immunizing peptide

      • Include related CRRSP peptides (CRRSP6, CRRSP9) as cross-reactivity controls

    • Genetic validation:

      • Test antibody on CRRSP25 knockout/knockdown lines

      • Test on overexpression lines of related CRRSP proteins

  • Epitope analysis:

    • Perform sequence alignment of CRRSP family members:

      • Identify regions of high homology

      • Assess if antibody epitope falls within conserved regions

    • Utilize epitope mapping to confirm binding site specificity

  • Cross-reactivity assessment matrix:

TechniqueSensitivitySpecificityResource Requirement
Western blotHighMediumMedium
ELISAVery highHighLow
Immunoprecipitation-MSMediumVery highHigh
Peptide arrayMediumVery highMedium
In silico predictionLowLowVery low
  • Advanced discrimination approaches:

    • Two-dimensional electrophoresis to separate based on both MW and pI

    • Immunodepletion strategies using related CRRSP antibodies

    • Recombinant protein standards for calibration curves

  • Cross-reactivity potential table:

CRRSP Family MemberSequence Homology to CRRSP25Risk of Cross-ReactivityDiscriminating Features
CRRSP665-70%High~2 kDa lower MW
CRRSP960-65%Medium-HighDifferent pI value
CRRSP345-50%MediumDistinct expression pattern
CRRSP1235-40%LowDifferent subcellular localization

These methodologies collectively provide a framework for distinguishing specific CRRSP25 signals from potential cross-reactivity with other family members, ensuring experimental integrity and accurate data interpretation .

What are the critical parameters to optimize when using CRRSP25 Antibody for immunolocalization studies in different plant tissues?

When conducting immunolocalization studies with CRRSP25 Antibody across different plant tissues, several critical parameters require optimization:

  • Fixation protocol optimization:

    • Compare crosslinking fixatives:

      • 4% paraformaldehyde (standard)

      • 1-2% glutaraldehyde (stronger crosslinking)

      • Combination fixatives (1% paraformaldehyde + 0.25% glutaraldehyde)

    • Optimize fixation duration (1-24 hours) based on tissue density

    • Evaluate the impact of perfusion vs. immersion fixation

  • Tissue permeabilization strategies:

    • For thick tissues:

      • Enzymatic digestion (cellulase/macerozyme)

      • Detergent treatment (0.1-0.5% Triton X-100)

    • For recalcitrant tissues:

      • Freeze-thaw cycles

      • Sonication protocols (optimized amplitude and duration)

  • Antibody penetration enhancement:

    • Extended incubation times (overnight to 48 hours)

    • Elevated temperatures (37°C vs. room temperature)

    • Use of antibody fragments (Fab vs. intact IgG)

  • Signal detection optimization:

    • Direct vs. indirect detection methods

    • Tyramide signal amplification for low abundance targets

    • Selection of appropriate fluorophores based on tissue autofluorescence

  • Tissue-specific optimization table:

Tissue TypeRecommended FixationPermeabilization MethodAntibody DilutionBackground Reduction
Leaf4% PFA, 2h0.2% Triton X-100, 10 min1:200-1:5003% BSA + 0.1% Tween-20
Root1.5% PFA + 0.2% GA, 4h0.5% Driselase, 15 min1:100-1:2005% milk + 1% BSA
Meristem4% PFA, 1h0.3% Triton X-100, 5 min1:100-1:30010% goat serum
Stem2% PFA + 0.1% GA, 8hFreeze-thaw (5×) + 0.5% Triton1:50-1:1000.1M glycine preblock
Flower4% PFA, 4h0.3% Tween-20, 20 min1:200-1:4002% BSA + 0.05% Tween
  • Controls for interpretation:

    • Include wild-type vs. knockout tissues

    • Perform peptide competition controls

    • Include secondary-only controls for autofluorescence assessment

This systematic optimization approach ensures reliable and reproducible immunolocalization of CRRSP25 across different plant tissues while minimizing artifacts and false signals .

How should western blot protocols be modified when detecting post-translationally modified forms of CRRSP25?

Detecting post-translationally modified (PTM) forms of CRRSP25 requires specific modifications to standard western blot protocols:

  • Sample preparation adaptations:

    • Include PTM-preserving inhibitors in lysis buffer:

      • Phosphorylation: Phosphatase inhibitors (10mM NaF, 1mM Na₃VO₄)

      • Ubiquitination: Deubiquitinase inhibitors (PR-619, 10-50μM)

      • Glycosylation: N-glycosidase inhibitors (castanospermine, 10-50μg/mL)

    • Optimize extraction temperature (4°C vs. room temperature)

    • Consider native vs. denaturing conditions based on epitope accessibility

  • Gel system modifications:

    • For phosphorylated forms:

      • Phos-tag™ acrylamide (25-50μM) for mobility shift detection

      • Mn²⁺-dependent SDS-PAGE for enhanced separation

    • For detection of multiple PTMs:

      • 2D-PAGE (IEF followed by SDS-PAGE)

      • Gradient gels (4-20%) for enhanced resolution

  • Blotting conditions optimization:

    • Transfer buffer modifications:

      • Phosphorylated proteins: Reduce methanol to 10%

      • Glycosylated proteins: Add 0.1% SDS to enhance transfer

    • Membrane selection:

      • PVDF for general PTM detection

      • Nitrocellulose for specific PTM antibodies

  • Protocol modification table:

PTM TypeSample PreparationGel SystemBlotting ConditionDetection Strategy
PhosphorylationPhosphatase inhibitorsPhos-tag™ or Mn²⁺-PAGELow methanol transferAnti-pSer/pThr/pTyr + Total CRRSP25
GlycosylationAvoid reducing agentsGradient SDS-PAGEAdd 0.1% SDS to transferPeriodic acid-Schiff staining + antibody
UbiquitinationDeubiquitinase inhibitors6-8% gelsStandard conditionsAnti-Ub + CRRSP25 co-detection
SUMOylationSUMO protease inhibitors8% gelsExtended transfer timeAnti-SUMO + CRRSP25 antibodies
  • Validation approaches:

    • Enzymatic treatment controls:

      • Lambda phosphatase for phosphorylation

      • PNGase F for N-linked glycosylation

      • Deubiquitinases for ubiquitination

    • Mobility shift analysis with and without PTM-inducing treatments

    • Mass spectrometry validation of detected modifications

This comprehensive approach allows researchers to reliably detect and characterize post-translational modifications of CRRSP25, providing insights into regulatory mechanisms affecting this protein's function .

What experimental design considerations are important when using CRRSP25 Antibody to study protein-protein interactions in plant immune responses?

When investigating protein-protein interactions involving CRRSP25 in plant immune responses, careful experimental design is essential for meaningful results:

  • Biological system preparation:

    • Compare constitutive vs. immune-induced states:

      • Include appropriate elicitors (flg22, chitin, Avr proteins)

      • Implement time-course sampling (15min, 30min, 1h, 3h, 6h, 24h)

    • Include genetic controls:

      • CRRSP25 overexpression lines

      • crrsp25 mutants or knockdown lines

      • Known immune pathway mutants

  • Interaction detection methodologies:

    • In vivo approaches:

      • Co-immunoprecipitation with CRRSP25 Antibody

      • Bimolecular Fluorescence Complementation (BiFC)

      • Split-luciferase assays

    • In vitro validation:

      • GST pull-down assays

      • Surface Plasmon Resonance (SPR)

      • AlphaScreen technology

  • Dynamic interaction assessment:

    • Evaluate interaction kinetics across immune response timeline

    • Compare interaction profiles before/after immune trigger

    • Analyze subcellular relocalization during immune response

  • Experimental design matrix:

Research QuestionPrimary MethodComplementary MethodControls RequiredData Analysis Approach
Constitutive interactorsCo-IP + MSYeast two-hybridIgG control, input samplesSpectral counting, fold enrichment
Pathogen-induced interactionsTime-course Co-IPBiFC visualizationMock treatment, kineticsDifferential interaction scoring
Interaction domain mappingTruncation mutants + Co-IPIn vitro binding assaysDomain deletions, point mutationsStructure-function correlation
Interaction functionPhenotypic analysis of interaction mutantsBiochemical pathway assaysMultiple alleles, complementationEpistasis analysis
  • Addressing experimental challenges:

    • For transient interactions:

      • Use chemical crosslinking (DSP, formaldehyde)

      • Employ proximity labeling techniques (BioID, APEX)

    • For weak interactions:

      • Optimize buffer conditions (ionic strength, detergent concentration)

      • Use stabilizing agents (glycerol, molecular crowding agents)

    • For membrane-associated complexes:

      • Test various detergents (digitonin, DDM, Brij-35)

      • Consider native membrane isolation techniques

This structured experimental approach allows robust investigation of CRRSP25 interactions during immune responses while minimizing artifacts and false positives that can plague protein interaction studies .

How can advanced microscopy techniques enhance the utility of CRRSP25 Antibody for studying dynamic protein localization?

Advanced microscopy techniques significantly enhance the utility of CRRSP25 Antibody for studying dynamic protein localization in plant systems:

  • Super-resolution microscopy applications:

    • Stimulated Emission Depletion (STED) microscopy:

      • Achieves 30-80nm resolution for precise localization

      • Optimal for co-localization with membrane compartments

      • Requires specialized fluorophores (ATTO 647N, Abberior STAR)

    • Single Molecule Localization Microscopy (PALM/STORM):

      • Achieves 10-30nm resolution for molecular-scale precision

      • Ideal for quantifying CRRSP25 clustering phenomena

      • Requires photoswitchable fluorophores or conventional dyes with switching buffers

  • Live-cell imaging strategies:

    • CRRSP25 Antibody fragment-based approaches:

      • Single-chain variable fragments (scFv) derived from antibody

      • Nanobody conjugation for reduced size and enhanced penetration

    • Fluorescent immunolabeling options:

      • Fab fragments conjugated to small, bright fluorophores

      • Quantum dots for extended observation periods

  • Correlative techniques:

    • Correlative Light and Electron Microscopy (CLEM):

      • Combines fluorescence localization with ultrastructural context

      • Requires specialized sample preparation and fiducial markers

    • Light-Sheet Fluorescence Microscopy:

      • Enables rapid 3D imaging with reduced photobleaching

      • Ideal for capturing rapid relocalization events

  • Methodological comparison table:

TechniqueResolutionLive-Cell CompatibilityDepth PenetrationTechnical ComplexityCost
Confocal200-250nmHighMediumMediumMedium
STED30-80nmMediumLow-MediumHighHigh
STORM/PALM10-30nmLowVery lowVery highHigh
Light-sheet300-500nmVery highHighHighVery high
CLEM10-20nmNoMediumVery highVery high
Expansion microscopy70-100nmNoHighMediumLow-Medium
  • Implementation considerations:

    • Sample preparation adaptations:

      • Optimized fixation protocols to preserve nanoscale structures

      • Clearing techniques for deep tissue imaging

    • Quantitative analysis approaches:

      • Single-particle tracking for dynamic studies

      • Nearest neighbor analysis for clustering quantification

      • Colocalization coefficients (Pearson's, Manders') for interaction studies

These advanced microscopy approaches enable unprecedented insights into CRRSP25 dynamics, providing quantitative spatial and temporal information about its behavior during plant development and stress responses .

What emerging technologies are enhancing the specificity and sensitivity of antibody-based CRRSP25 detection in plant research?

Several emerging technologies are revolutionizing antibody-based CRRSP25 detection in plant research, offering enhanced specificity and sensitivity:

  • Next-generation antibody engineering:

    • Recombinant antibody technologies:

      • Single-domain antibodies (nanobodies) for enhanced tissue penetration

      • Bispecific antibodies targeting CRRSP25 and interacting partners

      • Antibody fragments (Fab, scFv) with reduced background binding

    • Affinity maturation techniques:

      • Phage display selection for higher specificity variants

      • Directed evolution for enhanced plant-specific applications

  • Signal amplification innovations:

    • Proximity-based detection systems:

      • Proximity Ligation Assay (PLA) offering 100-1000× signal enhancement

      • Proximity Extension Assay (PEA) for dual-recognition specificity

    • Enzymatic amplification advancements:

      • Tyramide Signal Amplification (TSA) for immunohistochemistry

      • Catalyzed Reporter Deposition (CARD) for low abundance detection

  • Multiplexed detection systems:

    • Multi-epitope ligand cartography:

      • Sequential imaging of multiple epitopes on the same sample

      • Computational integration of multiple antibody signals

    • Mass cytometry adaptations for plant systems:

      • Metal-tagged antibodies for highly multiplexed detection

      • Imaging Mass Cytometry for spatial proteomic analysis

  • Technology comparison matrix:

TechnologySensitivity ImprovementSpecificity EnhancementMultiplexing CapacityImplementation Complexity
Nanobodies2-3×3-5×MediumMedium
PLA100-1000×10-50×Low-MediumMedium
TSA/CARD10-50×1-2×LowLow
Mass cytometry5-10×3-5×Very high (40+ targets)Very high
Bispecific antibodies3-5×10-20×MediumHigh
  • Integration with -omics technologies:

    • Antibody-based proteomics:

      • Reverse Phase Protein Arrays (RPPA) for high-throughput screening

      • Antibody arrays for simultaneous detection of multiple proteins

    • Single-cell resolution approaches:

      • Imaging mass spectrometry with antibody markers

      • CITE-seq adaptations for plant single-cell studies

These technological advancements significantly enhance our ability to detect CRRSP25 with improved sensitivity, specificity, and contextual information, particularly in complex plant tissues where traditional methods may struggle with background or cross-reactivity issues .

How can researchers interpret CRRSP25 antibody data in the context of emerging computational plant biology approaches?

Integrating CRRSP25 antibody data with modern computational plant biology approaches enhances data interpretation and biological insights:

  • Systems biology integration frameworks:

    • Multi-omics data integration:

      • Correlate CRRSP25 protein levels with transcriptomics data

      • Integrate with metabolomics to identify associated metabolic changes

      • Connect with phosphoproteomics to map signaling networks

    • Network analysis approaches:

      • Protein-protein interaction network positioning

      • Gene regulatory network inference incorporating CRRSP25

      • Pathway enrichment analysis of CRRSP25-associated genes

  • Machine learning applications:

    • Image analysis enhancement:

      • Automated detection of subcellular patterns in immunofluorescence

      • Segmentation of tissue regions in immunohistochemistry

      • Classification of cell types based on CRRSP25 expression patterns

    • Predictive modeling:

      • Functional annotation prediction from localization patterns

      • Stress response outcome prediction from CRRSP25 dynamics

      • Protein-protein interaction prediction from co-localization data

  • Structural biology integration:

    • Epitope mapping and accessibility prediction:

      • Computational prediction of antibody binding sites

      • Molecular dynamics simulations of antibody-antigen interactions

      • Structural analysis of PTM effects on epitope accessibility

    • AlphaFold2/RoseTTAFold integration:

      • Structure prediction of CRRSP25 for interpreting antibody binding

      • Complex modeling with interaction partners detected by antibodies

  • Computational workflow comparison:

Computational ApproachData Input RequirementsBiological Insights GainedTechnical Expertise Required
Gene regulatory networksRNA-seq + ChIP-seq + protein dataTranscriptional regulation of CRRSP25High
Protein interaction networksCo-IP/MS + Y2H + antibody localizationFunctional protein modulesMedium-High
Deep learning image analysisLarge immunofluorescence datasetAutomated pattern recognitionHigh
Structure-based analysisAlphaFold prediction + epitope mappingMechanism of antibody bindingMedium
Spatiotemporal modelingTime-course localization dataDynamic response patternsHigh
  • Integration challenges and solutions:

    • Data normalization strategies:

      • Computational methods for cross-platform standardization

      • Batch effect correction for multi-experimental integration

    • Validation approaches:

      • Cross-validation with orthogonal techniques

      • Bootstrapping for confidence estimation

      • Statistical significance testing appropriate for integrated datasets

These computational approaches transform static CRRSP25 antibody data into dynamic, systems-level insights about protein function, regulation, and interaction networks in the context of plant biology .

Quick Inquiry

Personal Email Detected
Please use an institutional or corporate email address for inquiries. Personal email accounts ( such as Gmail, Yahoo, and Outlook) are not accepted. *
© Copyright 2025 TheBiotek. All Rights Reserved.