SCRL6 Antibody

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Product Specs

Buffer
Preservative: 0.03% Proclin 300
Composition: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
SCRL6 antibody; At1g60985 antibody; T7P1 antibody; Defensin-like protein 247 antibody; S locus cysteine-rich-like protein 6 antibody; Protein SCRL6 antibody; SCR-like protein 6 antibody
Target Names
SCRL6
Uniprot No.

Target Background

Database Links

KEGG: ath:AT1G60985

STRING: 3702.AT1G60985.1

UniGene: At.36558

Protein Families
DEFL family
Subcellular Location
Secreted.

Q&A

What is SCRL6 Antibody and what does it target?

SCRL6 antibody (product code CSB-PA308409XA01DOA) is designed to target a protein with Uniprot accession number P82625 . Understanding the target of your antibody is crucial for experimental design and interpretation of results. When working with antibodies, researchers should always verify specificity through appropriate validation techniques, similar to approaches used with other research antibodies such as chimeric L6 (chL6), which targets a tumor-associated cell surface antigen expressed in several cancer types .

How should SCRL6 Antibody be stored for optimal stability?

SCRL6 antibody should be stored at -20°C or -80°C upon receipt and repeated freeze-thaw cycles should be avoided . This storage recommendation aligns with best practices for maintaining antibody integrity. Antibody degradation can significantly impact experimental outcomes, as seen in studies with other antibodies where structural integrity is critical for binding specificity and affinity.

What validation steps should I perform before using SCRL6 Antibody in my research?

Validation should include Western blot, immunoprecipitation, or immunohistochemistry to confirm binding to the expected target. Additionally, consider positive and negative controls to verify specificity. Similar validation processes have been essential in antibody research, such as with chimeric antibodies used in cancer studies . Proper validation helps avoid false positive/negative results and ensures experimental reproducibility.

How does the SCRL6 Antibody compare to other similar research antibodies?

When comparing antibodies, researchers should evaluate factors including: target specificity, binding affinity, clonality (monoclonal vs. polyclonal), species reactivity, and application suitability. For instance, in studies of chimeric antibodies like chL6, researchers carefully assessed immunogenicity profiles and binding characteristics compared to murine analogues . This comparative approach helps determine the most appropriate antibody for specific research questions.

How can SCRL6 Antibody be utilized in complex experimental designs?

Similar to other research antibodies, SCRL6 can potentially be incorporated into multi-parameter experiments. Researchers should consider:

  • Multiplexing with other antibodies for co-localization studies

  • Combining with functional assays to correlate binding with biological effects

  • Utilizing in both in vitro and in vivo models with appropriate controls

Advanced experimental designs often require careful optimization of antibody concentrations and conditions, as demonstrated in studies with chimeric L6 antibody where dose-dependent effects and "saturation" were observed at specific concentrations .

What considerations should be made when designing cross-reactivity studies with SCRL6 Antibody?

Cross-reactivity studies are essential for determining antibody specificity. When designing such experiments, researchers should:

  • Include structurally similar proteins to the intended target

  • Test across multiple species if evolutionary conservation is expected

  • Employ both positive and negative controls

  • Consider both native and denatured protein conformations

This approach mirrors methodologies used in antibody specificity research, where biophysics-informed models help identify and disentangle multiple binding modes associated with specific ligands .

How can computational approaches enhance SCRL6 Antibody research?

Computational methods can significantly advance antibody research by:

  • Predicting epitope binding sites through structural modeling

  • Analyzing binding energetics and affinity

  • Designing variants with customized specificity profiles

As demonstrated in recent research, biophysics-informed models can be trained on experimentally selected antibodies to predict and generate specific variants beyond those observed in experiments . These approaches could potentially be applied to understand and optimize SCRL6 antibody performance.

What are the key parameters for optimizing immunoassays with SCRL6 Antibody?

Optimization of immunoassays requires systematic evaluation of:

ParameterOptimization RangeConsiderations
Antibody concentration0.1-10 μg/mLTitrate to determine optimal signal-to-noise ratio
Incubation time1-24 hoursBalance between signal development and non-specific binding
Buffer compositionVarious pH (6.0-8.0)Impact on antibody-antigen interaction stability
Blocking agentBSA, casein, normal serumEffectiveness in reducing background
Detection systemColorimetric, fluorescent, chemiluminescentSensitivity requirements of the experiment

Similar optimization approaches have been crucial in antibody research, including phase I trials of therapeutic antibodies where pharmacokinetics and binding characteristics needed careful assessment .

How should I design neutralization assays with SCRL6 Antibody?

Neutralization assays require careful design considerations:

  • Determine appropriate cell lines expressing the target

  • Establish baseline activity of the target system

  • Test multiple antibody concentrations to generate dose-response curves

  • Include positive control antibodies with known neutralizing activity

  • Measure functional outcomes relevant to the biological system

This methodological approach is similar to neutralization studies with other antibodies, such as those developed against SARS viruses, where researchers systematically assessed the antibodies' ability to prevent virus samples from infecting human cells in laboratory settings .

What strategies can improve SCRL6 Antibody specificity for challenging targets?

Enhancing antibody specificity may involve:

  • Affinity maturation techniques to improve binding strength

  • Engineering antibody fragments for better tissue penetration

  • Creating bispecific antibodies for increased specificity

  • Employing negative selection strategies to reduce off-target binding

Recent advances in antibody engineering, such as those seen with llama-derived nanobodies, demonstrate how structural modifications can dramatically improve specificity and neutralization capabilities . Similar principles could potentially be applied to enhance SCRL6 antibody performance.

How can I address weak or inconsistent signals when using SCRL6 Antibody?

Weak signal troubleshooting should follow a systematic approach:

  • Verify antibody integrity through quality control measures

  • Optimize antibody concentration through titration experiments

  • Increase antigen availability through improved sample preparation

  • Enhance detection sensitivity with amplification systems

  • Modify blocking and washing protocols to reduce background interference

Researchers working with other antibodies have observed similar challenges, such as in studies with chimeric antibodies where signal strength was affected by antibody concentration and binding saturation dynamics .

What are the appropriate controls for experiments using SCRL6 Antibody?

Robust experimental design requires multiple controls:

  • Positive control - known sample containing target protein

  • Negative control - sample known to lack target protein

  • Isotype control - non-specific antibody of same isotype

  • Secondary antibody-only control - to assess non-specific binding

  • Blocking peptide control - pre-incubation with immunizing peptide

Similar control strategies were essential in antibody studies for SARS viruses, where researchers needed to precisely measure antibody neutralization activities against multiple virus strains .

How should I interpret quantitative data from experiments using SCRL6 Antibody?

Data interpretation requires consideration of:

  • Signal-to-noise ratio compared to appropriate controls

  • Dose-dependent responses that demonstrate specificity

  • Statistical analysis appropriate for the experimental design

  • Reproducibility across technical and biological replicates

  • Correlation with orthogonal methods measuring the same target

What strategies can help resolve contradictory results between different detection methods using SCRL6 Antibody?

When facing contradictory results:

  • Verify that each method detects the same epitope (conformational vs. linear)

  • Consider how sample preparation affects protein conformation in each method

  • Evaluate sensitivity thresholds for each technique

  • Assess potential interference from sample components

  • Implement orthogonal validation with additional antibodies or methods

Similar problem-solving approaches have been utilized in antibody specificity research, where combining experimental data with computational modeling has helped resolve seemingly contradictory findings .

How might engineered variants of SCRL6 Antibody enhance research applications?

Engineering strategies to consider:

  • Humanization to reduce immunogenicity in potential therapeutic applications

  • Fragment development (Fab, scFv) for improved tissue penetration

  • Conjugation to fluorophores or enzymes for direct detection

  • Affinity maturation for enhanced binding specificity

Such engineering approaches have significantly improved the utility of other antibodies, as seen with chimeric antibodies that demonstrated lower immunogenicity and favorable binding characteristics compared to their murine counterparts .

What emerging technologies might enhance SCRL6 Antibody applications?

Emerging technologies to consider include:

  • Single-cell antibody secretion assays for functional characterization

  • Computational antibody design using biophysics-informed models

  • Cryo-EM structural analysis of antibody-antigen complexes

  • Machine learning approaches to predict binding characteristics

These technologies reflect cutting-edge developments in antibody research, such as biophysics-informed modeling that enables the prediction and generation of antibody variants with customized specificity profiles .

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