CSLC2 Antibody

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Product Specs

Buffer
**Preservative:** 0.03% Proclin 300
**Constituents:** 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
CSLC2; OsI_030406; Probable xyloglucan glycosyltransferase 2; Cellulose synthase-like protein C2; OsCslC2
Target Names
CSLC2
Uniprot No.

Target Background

Function
CSLC2 Antibody targets a protein that is likely a beta-1,4-glucan synthase, involved in the synthesis of the xyloglucan backbone rather than cellulose. This protein appears to function in conjunction with xyloglucan 6-xylosyltransferase. Xyloglucan is a non-cellulosic polysaccharide found in plant cell walls. It is composed of a glucan backbone that is substituted with xylose, galactose, and fucose.
Database Links
Protein Families
Glycosyltransferase 2 family, Plant cellulose synthase-like C subfamily
Subcellular Location
Golgi apparatus membrane; Multi-pass membrane protein.

Q&A

What is CSLC2 Antibody and what target protein does it recognize?

CSLC2 Antibody is a polyclonal antibody that recognizes CSLC2 protein in Oryza sativa subsp. indica (Rice). The antibody has been validated for experimental techniques including ELISA and Western blot applications . CSLC2 is associated with cellulose synthase-like proteins, which play crucial roles in cell wall biosynthesis in plants.

For comprehensive target validation, researchers should implement a multi-tier experimental approach:

  • Confirm target binding using recombinant CSLC2 protein

  • Perform knockout/knockdown validation studies

  • Test cross-reactivity against homologous proteins

  • Use orthogonal detection methods (e.g., mass spectrometry)

This methodology aligns with rigorous antibody validation protocols demonstrated in studies of therapeutic antibodies, where target specificity is critical for research reliability .

How can I validate the specificity of CSLC2 Antibody for my research?

Antibody specificity validation requires a systematic approach following these methodological steps:

  • Genetic validation: Test the antibody in samples where the target gene has been knocked out or silenced via RNAi. The signal should be substantially reduced or absent.

  • Orthogonal validation: Compare antibody-based detection with mass spectrometry or RNA expression data to confirm target presence and abundance.

  • Cross-reactivity assessment: Test against structurally related proteins, particularly other cellulose synthase-like family members.

  • Blocking peptide experiments: Pre-incubate the antibody with immunizing peptide before application to verify specific epitope binding.

Validation MethodExperimental ApproachExpected OutcomeInterpretation
Western blotCompare WT vs. CSLC2-KO samplesSignal absence in KOConfirms specificity
Peptide competitionPre-incubate with immunizing peptideDiminished signalConfirms epitope binding
IP-MSImmunoprecipitation followed by MSCSLC2 peptides identifiedConfirms target identity
Dot blot arrayTest against related proteinsMinimal cross-reactivityConfirms selectivity

This comprehensive validation approach prevents misidentification issues that have affected antibody research, such as the reported HER2 antibody cross-reactivity with HER4 .

What analytical techniques can be used to characterize CSLC2 Antibody-antigen interactions?

Characterizing antibody-antigen interactions provides critical insight into binding properties. For CSLC2 Antibody research, consider these methodological approaches:

  • Surface Plasmon Resonance (SPR): Enables real-time measurement of binding kinetics:

    • Association rate constant (kon)

    • Dissociation rate constant (koff)

    • Equilibrium dissociation constant (KD)

  • Hydrogen-Deuterium Exchange Mass Spectrometry (HDX-MS): Provides detailed epitope mapping by measuring protection patterns upon antibody binding, similar to the approach used in the CXCR2 antibody study .

  • Bio-Layer Interferometry (BLI): Determines:

    • Binding kinetics in real-time

    • Concentration analysis

    • Epitope binning

  • Mass Photometry (MP): Particularly useful for heterogeneous samples, allowing assessment of binding stoichiometry and complex formation without the need for labels .

  • Native Mass Spectrometry: Provides accurate mass measurements of antibody-antigen complexes to determine stoichiometry, particularly valuable for well-defined systems .

For example, in research with an anti-CXCR2 antibody, HDX-MS analysis revealed that "the antibody interaction with an N-terminal region of CXCR2 [is] part of the IL-8 epitope," providing crucial molecular interaction data .

How does epitope accessibility affect CSLC2 Antibody binding in different experimental conditions?

Epitope accessibility significantly impacts experimental outcomes with antibodies. For CSLC2 Antibody research, consider these methodological approaches:

  • Protein conformation effects:

    • Native conditions preserve three-dimensional structure but may mask certain epitopes

    • Denaturing conditions (SDS, heat) expose linear epitopes but destroy conformational ones

    • For membrane-associated proteins like CSLC, detergent selection is critical for epitope preservation

  • Fixation impacts:

    • Aldehyde fixatives (formaldehyde, glutaraldehyde) create protein cross-links that may mask epitopes

    • Alcohol fixatives (methanol, ethanol) often better preserve certain epitopes

    • Acetone fixation can maintain both protein structure and epitope accessibility

  • Buffer optimization strategies:

    • pH optimization (typically pH 6.0-8.0)

    • Ionic strength adjustment (150-500 mM salt)

    • Detergent screening (particularly important for membrane-associated proteins)

    • Reducing agent effects on disulfide bonds

Researchers should implement systematic condition screening to determine optimal parameters for CSLC2 antibody binding, considering that epitope accessibility may vary dramatically between applications such as Western blot, immunohistochemistry, and immunoprecipitation.

How can I troubleshoot non-specific binding issues with CSLC2 Antibody in immunoassays?

Non-specific binding can compromise research reliability. Implement this methodological troubleshooting approach:

  • Blocking optimization:

    • Test multiple blocking agents (BSA, casein, normal serum)

    • Increase blocking concentration (3-5%)

    • Extend blocking time (1-2 hours)

    • Add 0.1-0.3% Tween-20 to reduce hydrophobic interactions

  • Antibody parameters adjustment:

    • Perform titration experiments to find optimal concentration

    • Reduce incubation temperature (4°C instead of room temperature)

    • Increase washing stringency (more washes, higher detergent)

  • Buffer composition modification:

    • Add 0.1-0.5M NaCl to reduce ionic interactions

    • Include 0.1-1% non-ionic detergents

    • Add 1-5% carrier proteins (BSA, casein)

  • Control implementation:

    • No primary antibody control

    • Isotype control

    • Pre-immune serum

    • Peptide competition assay

This systematic approach addresses polyreactivity concerns that have been documented with research antibodies. Studies have shown that "a strong polyreactivity profile is one of several risk factors that could potentially combine to increase the likelihood of failure" in antibody applications .

What are the potential cross-reactivity concerns with CSLC2 Antibody?

Cross-reactivity assessment is essential for reliable research outcomes. For CSLC2 Antibody, implement these methodological approaches:

  • Computational prediction:

    • Analyze epitope sequence homology with other plant proteins

    • Identify conserved domains within cellulose synthase-like protein family

    • Assess potential post-translational modification sites that might affect specificity

  • Systematic experimental screening:

    • Test against other CSLC family members (CSLC1, CSLC3, CSLC4)

    • Evaluate binding to related CSL families (CSLA, CSLB, CSLD, CSLE)

    • Assess reactivity across plant species (monocots vs. dicots)

  • Validation techniques:

    • Western blot analysis to confirm single band at expected molecular weight

    • Immunoprecipitation followed by mass spectrometry to identify all bound proteins

    • Competitive binding assays with purified target proteins

This rigorous approach is critical given documented cross-reactivity issues with research antibodies. For example, studies revealed that "2 out of 3 HER2 antibodies cross-reacted with HER4" and "8F1 antibody cross-reacted with CCT-α" , highlighting the prevalence of cross-reactivity in research antibodies.

What controls should be included when using CSLC2 Antibody in experimental settings?

Implementing appropriate controls is essential for data interpretation. For CSLC2 Antibody research, include:

  • Negative controls:

    • No primary antibody (detects non-specific secondary antibody binding)

    • Isotype control (matched antibody class without target specificity)

    • Pre-immune serum (for polyclonal antibodies)

    • CSLC2 knockout or knockdown samples

  • Positive controls:

    • Recombinant CSLC2 protein

    • Plant tissues with known high CSLC2 expression

    • CSLC2 overexpression systems

  • Specificity controls:

    • Competitive blocking with immunizing peptide

    • Multiple antibodies against different CSLC2 epitopes (if available)

Control TypePurposeImplementationExpected Result
No primary antibodyDetect non-specific secondary bindingOmit CSLC2 antibodyNo signal
Peptide competitionConfirm epitope specificityPre-incubate with excess peptideReduced/eliminated signal
RNAi validationConfirm target specificityUse CSLC2-silenced plant materialReduced signal
Positive tissue controlConfirm antibody activityUse tissues with known CSLC2 expressionStrong specific signal
Loading controlNormalize between samplesProbe for housekeeping proteinConsistent signal across samples

This control framework is aligned with best practices in antibody research and helps prevent misinterpretation of experimental results.

How can I optimize CSLC2 Antibody concentration for specific research applications?

Antibody concentration optimization requires systematic titration experiments. Follow this methodological approach:

  • Titration experiment design:

    • Prepare serial dilutions (typically 1:2, 1:5, or 1:10)

    • Start with manufacturer's recommended concentration

    • Test range from 5× higher to 10× lower than recommendation

    • For each concentration, calculate signal-to-noise ratio

  • Application-specific considerations:

    • Western Blot: Typically 0.1-1 μg/mL (1:1000-1:5000 dilution)

    • ELISA: Typically 1-10 μg/mL (1:100-1:1000 dilution)

    • Immunohistochemistry: Typically 1-10 μg/mL (1:100-1:1000 dilution)

  • Incubation parameter optimization:

    • Temperature: Compare 4°C, room temperature, and 37°C

    • Time: Compare 1 hour, 4 hours, and overnight incubation

    • Buffer composition: pH, salt concentration, detergent type/concentration

This optimization approach is crucial for achieving maximum specificity and sensitivity, particularly for plant antibodies where background binding can be significant due to complex plant matrices containing polysaccharides and secondary metabolites.

How can I determine if batch-to-batch variation affects my CSLC2 Antibody experiments?

Batch variation can significantly impact experimental reproducibility. Implement this methodological approach:

  • Standardized validation protocol:

    • Test each new batch against a reference standard

    • Perform side-by-side comparisons with previous batches

    • Document lot numbers and validation results

  • Quantitative assessment metrics:

    • Signal-to-noise ratio at fixed concentration

    • EC50 values from dose-response curves

    • Western blot band intensity at fixed loading

    • Flow cytometry mean fluorescence intensity

  • Reference standard maintenance:

    • Create aliquots of standard positive samples

    • Store under identical conditions

    • Use recombinant CSLC2 protein as calibrator

  • Data normalization strategies:

    • Express results relative to reference standard

    • Incorporate internal controls in each experiment

    • Consider bridging studies for critical experiments

This approach aligns with antibody validation principles discussed in literature, which highlight "the importance of standardized validation for research reproducibility" to prevent variability from compromising experimental outcomes.

What advanced imaging techniques can be applied to CSLC2 localization studies in plant cells?

For subcellular localization of CSLC2 protein in plant tissues, consider these advanced methodological approaches:

  • Super-resolution microscopy:

    • Stimulated Emission Depletion (STED): Achieves resolution down to 30-50 nm

    • Stochastic Optical Reconstruction Microscopy (STORM): Provides 20-30 nm resolution

    • Photoactivated Localization Microscopy (PALM): Excellent for protein dynamics studies

  • Proximity labeling techniques:

    • BioID: Allows identification of proximal proteins in living cells

    • APEX2: Provides temporal resolution of protein-protein interactions

    • Split-BioID: For studying protein complex formation

  • Correlative Light and Electron Microscopy (CLEM):

    • Combines fluorescence and EM imaging

    • Allows visualization of CSLC2 in context of cellular ultrastructure

    • Particularly valuable for membrane-associated proteins

  • Multi-channel co-localization studies:

    • Combine CSLC2 antibody with markers for:

      • Golgi apparatus (e.g., GM130)

      • Plasma membrane (e.g., H+-ATPase)

      • Cell wall (e.g., cellulose synthase)

    • Calculate co-localization coefficients (Pearson's, Manders')

These advanced imaging approaches can elucidate CSLC2's spatial organization and functional relationships within plant cell compartments, providing deeper insights into its role in cell wall biosynthesis pathways.

How can CSLC2 Antibody be utilized in plant stress response studies?

CSLC2 Antibody can be implemented in plant stress research using these methodological approaches:

  • Expression profiling under stress conditions:

    • Quantitative Western blot analysis across stress time points

    • Immunohistochemistry to assess tissue-specific changes

    • Flow cytometry for cell-type specific responses

  • Stress treatment experimental design:

    • Abiotic stressors: drought, salinity, temperature, heavy metals

    • Biotic stressors: pathogen infection, herbivory

    • Standardized stress application protocols

    • Time-course analysis (0h, 6h, 24h, 72h)

  • Protein modification analysis:

    • Phosphorylation state using phospho-specific antibodies

    • Ubiquitination status via co-immunoprecipitation

    • Protein complex formation under stress

  • Comparative analysis across varieties:

    • Stress-tolerant vs. susceptible cultivars

    • Wild type vs. engineered plants

    • Evolutionary conservation across related species

This approach allows researchers to determine how CSLC2 protein levels, modifications, and interactions change in response to environmental challenges, providing insights into plant adaptation mechanisms and potential biotechnological applications.

What methods can be used to enhance CSLC2 Antibody sensitivity for low-abundance protein detection?

Detecting low-abundance proteins requires sensitivity enhancement. Implement these methodological approaches:

  • Signal amplification systems:

    • Tyramide Signal Amplification (TSA): Enhances sensitivity by 10-100×

    • Poly-HRP conjugates: Provides 3-10× signal enhancement

    • Biotin-streptavidin amplification: Increases detection sensitivity by 5-10×

    • Catalyzed Reporter Deposition (CARD): Excellent for IHC applications

  • Sample enrichment techniques:

    • Immunoprecipitation before Western blotting

    • Subcellular fractionation to concentrate target compartments

    • Protein extraction optimization for membrane proteins

  • Detection system optimization:

    • Chemiluminescence with enhanced substrates

    • Near-infrared fluorescence detection

    • Quantum dot conjugated secondary antibodies

  • Instrument sensitivity enhancement:

    • Extended exposure times with low-noise cameras

    • Photomultiplier tube gain optimization

    • Spectral unmixing to reduce autofluorescence

This approach can significantly improve detection of low-abundance proteins like CSLC2 in complex plant samples, particularly important when studying developmental stages or tissues with minimal expression levels.

How can CSLC2 Antibody be integrated into multi-omics research approaches?

Integrating antibody-based detection with other omics technologies enhances research depth. Implement these methodological approaches:

  • Proteomics integration:

    • Immunoprecipitation followed by mass spectrometry (IP-MS)

    • Comparison of antibody-based quantification with MS-based proteomics

    • Validation of post-translational modifications identified in proteomics

  • Transcriptomics correlation:

    • Parallel analysis of CSLC2 mRNA and protein levels

    • Investigation of transcript-protein level discordance

    • Identification of co-expressed genes through correlation analysis

  • Metabolomics connections:

    • Correlation between CSLC2 protein levels and cell wall composition

    • Analysis of metabolic shifts with CSLC2 expression changes

    • Integration with polysaccharide profiling data

  • Systems biology analysis:

    • Network modeling incorporating protein interaction data

    • Pathway enrichment analysis with CSLC2-associated proteins

    • Multi-omics data visualization and integration

This multi-omics approach provides comprehensive understanding of CSLC2's role within the broader context of plant biology, revealing functional relationships that single-technology approaches might miss.

What computational approaches can predict CSLC2 epitopes for improved antibody design?

Epitope prediction facilitates improved antibody design. Implement these computational methodological approaches:

  • Structure-based epitope prediction:

    • Homology modeling of CSLC2 protein structure

    • Solvent accessibility analysis to identify surface residues

    • Molecular dynamics simulations to assess flexibility

    • Discontinuous epitope prediction algorithms

  • Sequence-based prediction methods:

    • Hydrophilicity/hydrophobicity profiling

    • Antigenicity prediction using machine learning algorithms

    • Evolutionary conservation analysis

    • B-cell epitope prediction tools (BepiPred, ABCpred)

  • Experimental validation strategy:

    • Peptide array screening of predicted epitopes

    • Site-directed mutagenesis of key residues

    • Competitive binding assays with synthetic peptides

  • Antibody engineering considerations:

    • Complementarity-determining region (CDR) optimization

    • Framework region stabilization

    • Fc engineering for enhanced stability or function

This approach aligns with modern antibody design principles described in literature, where "detailed knowledge of both the epitope and paratope sequence" leads to "the optimal binding interaction" .

What are the methodological considerations for using CSLC2 Antibody in plant developmental studies?

For developmental biology applications, implement these methodological approaches:

  • Tissue-specific expression analysis:

    • Immunohistochemistry with developmental stage series

    • Tissue microarray analysis across growth stages

    • Laser capture microdissection with immunoblotting

  • Temporal expression profiling:

    • Time-course sampling during key developmental transitions

    • Circadian rhythm analysis

    • Seasonal variation studies for perennial species

  • Cell-type specific localization:

    • Double immunofluorescence with cell-type markers

    • Flow cytometry with tissue dissociation

    • Single-cell protein analysis techniques

  • Functional perturbation studies:

    • Correlation with knockout/knockdown phenotypes

    • Protein-protein interaction changes during development

    • Co-localization with developmental signaling components

This developmental biology approach reveals CSLC2's spatial and temporal regulation patterns, providing insights into its functional role throughout the plant life cycle and identifying critical stages where it may serve as a developmental marker or regulator.

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