SCRL7 Antibody

Shipped with Ice Packs
In Stock

Product Specs

Buffer
Preservative: 0.03% ProClin 300; Constituents: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
14-16 week lead time (made-to-order)
Synonyms
SCRL7 antibody; At1g60989 antibody; T7P1 antibody; Defensin-like protein 249 antibody; S locus cysteine-rich-like protein 7 antibody; Protein SCRL7 antibody; SCR-like protein 7 antibody
Target Names
SCRL7
Uniprot No.

Target Background

Database Links

KEGG: ath:AT1G60989

UniGene: At.36556

Protein Families
DEFL family
Subcellular Location
Secreted.

Q&A

What is SCRL7 antibody and what are its target applications?

SCRL7 antibody is a research reagent designed for the detection and characterization of its target protein. Based on available data, it is typically used in immunological applications such as ELISA and Western blotting . The antibody is available in polyclonal format derived from rabbit hosts, with purification typically performed via antigen affinity methods . Like other research antibodies, its primary purpose is to enable sensitive and specific detection of its target protein in experimental contexts.

How is antibody specificity for targets like SCRL7 assessed?

Antibody specificity is most rigorously assessed using genetic approaches that employ knockout (KO) cell lines as negative controls. This methodology involves:

  • Testing the antibody against wild-type cells expressing the target protein

  • Testing the antibody against isogenic CRISPR knockout cells lacking the target protein

  • Comparing the results to determine if the signal disappears in the knockout samples

This knockout-based validation approach is considered the gold standard, providing more reliable results than orthogonal approaches that rely solely on known properties of the target protein . Research indicates that approximately 80% of antibodies recommended based on orthogonal strategies and 89% recommended based on genetic strategies could successfully detect their intended target in Western blot applications .

What is the difference between monoclonal, polyclonal, and recombinant antibodies, and which format is SCRL7 antibody typically available in?

The three main antibody formats differ significantly in production method and characteristics:

Antibody TypeProduction MethodCharacteristicsTypical Performance
PolyclonalImmunization of animals (e.g., rabbits)Recognizes multiple epitopes, batch-to-batch variationVariable specificity
MonoclonalHybridoma technologyRecognizes single epitope, more consistentModerate consistency
RecombinantDNA technology in expression systemsDefined sequence, renewable resourceHighest consistency

SCRL7 antibody is available in polyclonal format derived from rabbit hosts . Large-scale antibody validation studies indicate that recombinant antibodies typically outperform both monoclonal and polyclonal antibodies in terms of specificity and reproducibility .

What standardized protocols should be followed when validating SCRL7 antibody for research applications?

A comprehensive validation protocol for antibodies like SCRL7 should include testing in multiple applications using appropriate controls:

  • Western Blot (WB): Test antibody on cell lysates with positive and negative controls (ideally knockout cells). Evaluate for expected band size, signal intensity, and absence of non-specific bands.

  • Immunoprecipitation (IP): Perform on non-denaturing cell lysates, followed by Western blot with a validated antibody to confirm target capture.

  • Immunofluorescence (IF): Test subcellular localization pattern in cells known to express the target, with parallel testing in knockout or knockdown cells.

Research has shown that only 34-46% of commercial antibodies pass rigorous validation in all three applications (WB, IP, IF), with many showing non-specific binding or failing to detect their intended targets . Therefore, it is essential to validate SCRL7 antibody for your specific experimental conditions and cell types before proceeding with critical experiments.

How should dilution optimization be performed for SCRL7 antibody in different applications?

Dilution optimization is critical for balancing signal strength with background noise:

  • Initial Testing: Begin with manufacturer's recommended dilutions (typically 1:500-1:1000 for WB, 1:100-1:500 for IF)

  • Serial Dilution Series: Prepare 3-5 dilutions in a 2-5 fold range around the recommended concentration

  • Positive and Negative Controls: Include controls for each dilution

  • Signal-to-Noise Assessment: Quantify specific signal versus background for each dilution

  • Optimization Criteria:

    • For WB: Optimal balance between specific band intensity and minimal background

    • For IF: Clearest subcellular localization with minimal diffuse staining

Data from large-scale antibody testing suggests that even well-performing antibodies often require optimization beyond manufacturer recommendations to achieve optimal results in specific experimental contexts .

What controls are essential when using SCRL7 antibody in experimental research?

Essential controls include:

  • Negative Controls:

    • Isotype control (matched immunoglobulin of the same class)

    • Knockout or knockdown cell lines lacking the target protein

    • Pre-immune serum for polyclonal antibodies

  • Positive Controls:

    • Recombinant target protein or cells overexpressing the target

    • Positive control antigens when available (some manufacturers provide these)

  • Procedural Controls:

    • Secondary antibody only (to detect non-specific binding)

    • Blocking peptide competition (if available)

Research indicates that laboratories that implement rigorous control strategies report 20-30% fewer false positive results in their antibody-based experiments .

What are common causes of false positive and false negative results when using SCRL7 antibody?

Common causes of problematic results include:

IssuePotential CausesTroubleshooting Approaches
False PositivesCross-reactivity with similar epitopesValidate with knockout controls
Non-specific bindingOptimize blocking conditions
Secondary antibody issuesTest secondary alone
False NegativesTarget epitope inaccessibleTry different extraction methods
Target expression too lowIncrease sample concentration
Antibody degradationCheck storage conditions
Interfering buffer componentsTest alternative buffers

Large-scale antibody validation studies have found that more than 50% of commercial antibodies fail in one or more applications, with many showing non-specific binding or failing to detect their intended targets altogether . Therefore, methodical troubleshooting is often necessary even with commercially validated antibodies.

How can researchers distinguish between specific and non-specific binding when using SCRL7 antibody?

To distinguish between specific and non-specific binding:

  • Genetic Validation: The gold standard involves using knockout or knockdown models where the target protein is absent. In Western blots, specific bands should disappear in knockout samples while non-specific bands remain .

  • Molecular Weight Assessment: Specific binding should produce bands at the predicted molecular weight of the target protein (plus any post-translational modifications).

  • Peptide Competition: Pre-incubation of the antibody with purified target peptide should reduce or eliminate specific signals but not affect non-specific binding.

  • Multiple Antibody Validation: Use multiple antibodies targeting different epitopes of the same protein to confirm specific binding patterns.

Research indicates that 30-40% of antibodies that appear specific by orthogonal validation methods (e.g., expected molecular weight) still fail when tested against knockout controls, highlighting the importance of genetic validation approaches .

What methods can be used to quantify antibody performance metrics for SCRL7 antibody?

Quantitative assessment of antibody performance should include:

  • Signal-to-Noise Ratio (SNR): Calculate as (specific signal intensity) / (background signal intensity)

    • For Western blot: SNR = (target band intensity) / (average background intensity)

    • For immunofluorescence: SNR = (specific subcellular staining) / (non-specific diffuse staining)

  • Limit of Detection (LOD): Determine the minimum amount of target protein detectable above background

  • Dynamic Range: Assess the range of target concentrations over which signal maintains linearity

  • Coefficient of Variation (CV): Calculate across replicates to assess reproducibility:
    CV (%) = (Standard Deviation / Mean) × 100

  • Z-factor: For high-throughput applications:
    Z' = 1 - [(3σp + 3σn) / |μp - μn|]
    Where σp and σn are standard deviations of positive and negative controls, and μp and μn are their means

Comprehensive antibody validation studies suggest that well-performing antibodies should achieve SNR > 5, CV < 15%, and Z' > 0.5 for reliable research applications .

How does antibody performance vary across different sample types and preparation methods?

Antibody performance can vary significantly based on sample preparation:

  • Fixation Effects: Different fixation methods (formalin, methanol, acetone) can alter epitope accessibility

    • Formaldehyde creates crosslinks that may mask epitopes

    • Alcohol fixatives preserve protein structure differently

  • Extraction Methods: Different lysis buffers affect protein solubilization and epitope exposure

    • RIPA buffers may denature some epitopes while preserving others

    • Non-ionic detergents (Triton X-100, NP-40) better preserve protein-protein interactions

  • Sample Processing: Fresh vs. frozen samples can show different antibody reactivity patterns

Studies indicate that approximately 20-30% of antibodies show differential performance depending on sample preparation methods, with some recognizing only native or only denatured forms of their target proteins .

What are the current limitations in antibody validation methodologies that researchers should be aware of?

Current limitations in antibody validation include:

  • Knockout Model Availability: Not all targets have readily available knockout cell lines or models

  • Context Dependency: Validation in one cell type or condition doesn't guarantee performance in others

  • Publication Bias: An estimated 20-30% of published research uses antibodies that do not recognize their intended targets, with 88% of these publications containing no validation data

  • Renewable Resource Limitations: Despite better performance, renewable antibodies (recombinant) do not yet cover the entire proteome

  • Standardization Challenges: Different manufacturers use different validation criteria

Research indicates that only approximately 50-75% of proteins have at least one high-performing commercial antibody available, depending on the application .

How do post-translational modifications and protein interactions affect epitope recognition by antibodies like SCRL7?

Post-translational modifications (PTMs) and protein interactions can significantly impact antibody recognition:

  • PTM Effects:

    • Phosphorylation near epitopes can create or block antibody binding sites

    • Glycosylation can mask epitopes through steric hindrance

    • Ubiquitination or SUMOylation can alter protein conformation

  • Protein Complex Formation:

    • Protein-protein interactions may block antibody access to epitopes

    • Conformational changes due to binding partners can expose or hide epitopes

  • Detection Strategies for Modified Proteins:

    • Use modification-specific antibodies when targeting specific PTM states

    • Employ protein complex disruption techniques (high salt, detergents) when necessary

    • Consider multiple antibodies targeting different epitopes to ensure detection regardless of modification status

Research indicates that approximately 15-25% of antibodies show differential recognition of modified versus unmodified forms of their target proteins .

How does antibody performance compare between different research applications (WB, IP, IF)?

Analysis of large-scale antibody validation studies reveals application-specific performance patterns:

ApplicationAverage Pass RateCommon Failure ModesPerformance Metrics
Western Blot (WB)50-70%Multiple bands, wrong MWBand specificity, signal-to-noise ratio
Immunoprecipitation (IP)30-50%Low pulldown efficiency% target captured, non-specific binding
Immunofluorescence (IF)40-60%Non-specific stainingLocalization accuracy, background

Research indicates that only approximately 25-35% of antibodies perform well across all three applications, highlighting the importance of application-specific validation . For SCRL7 antibody specifically, validation for its recommended applications (ELISA, WB) should be prioritized .

What factors influence the reproducibility of results when using SCRL7 antibody across different labs?

Factors affecting inter-laboratory reproducibility include:

  • Antibody Variables:

    • Lot-to-lot variation (especially significant for polyclonal antibodies)

    • Storage conditions and freeze-thaw cycles

    • Age of antibody (potential degradation over time)

  • Protocol Variables:

    • Blocking agents and incubation times

    • Buffer compositions and pH differences

    • Detection systems and their sensitivity

  • Sample Variables:

    • Cell culture conditions (passage number, confluence, media)

    • Tissue processing methods

    • Protein extraction protocols

Research indicates that standardization of protocols can reduce inter-laboratory variability by 40-60%, with the most significant improvements seen with detailed standard operating procedures and shared positive and negative controls .

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.