traL Antibody

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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
traL antibody; ECOK12F075 antibody; Protein TraL antibody
Target Names
traL
Uniprot No.

Target Background

Function
This antibody targets the traL protein, a membrane protein involved in F pilin formation.
Subcellular Location
Cell outer membrane.

Q&A

What is TRAIL and how do TRAIL antibodies function in research settings?

TRAIL (also known as CD253, APO2L, or TNFSF10) is a cytokine that belongs to the tumor necrosis factor superfamily. It functions by binding to several receptors including TNFRSF10A/TRAILR1, TNFRSF10B/TRAILR2, TNFRSF10C/TRAILR3, TNFRSF10D/TRAILR4, and possibly TNFRSF11B/OPG . TRAIL preferentially induces apoptosis in transformed and tumor cells while generally sparing normal cells, making it a significant target for cancer research .

In research settings, TRAIL antibodies serve two primary functions:

  • Detection antibodies: Used to identify and quantify TRAIL expression in various tissue samples and cell lines through techniques like Western blotting, immunohistochemistry, and immunofluorescence

  • Neutralizing antibodies: Block TRAIL-mediated signaling, allowing researchers to study the consequences of TRAIL pathway inhibition

Methodologically, when designing experiments with TRAIL antibodies, researchers should consider:

  • The specific epitope recognized by the antibody

  • Whether detection or neutralization is the primary goal

  • The experimental readout (protein visualization vs. functional modulation)

  • Appropriate controls to validate antibody specificity and effectiveness

What are the different types of TRAIL antibodies available for research applications?

Researchers can utilize several types of TRAIL antibodies, each with distinct properties that make them suitable for different experimental applications:

Antibody TypeCharacteristicsOptimal ApplicationsExample from Research
MonoclonalSingle epitope specificity, consistent lot-to-lotTherapeutic development, specific detectionTRAIL R3/TNFRSF10C monoclonal antibody (Clone #90903)
PolyclonalMultiple epitopes, broader detectionWestern blot, IHC with signal amplificationRabbit polyclonal TRAIL antibody (ab231063)
NeutralizingBlock TRAIL-receptor interactionsFunctional studies, in vivo therapeutic modelsAnti-mouse CD253 for in vivo neutralization
Species-specificOptimized for human, mouse, or rat targetsSpecies-relevant experimental modelsHuman TRAIL R3/TNFRSF10C antibody

When selecting an antibody, researchers should validate:

  • Species reactivity (human, mouse, rat)

  • Applications validated by manufacturers (WB, IHC, IF, ELISA)

  • Clone information for monoclonals

  • Neutralizing capacity if functional blockade is required

How should researchers validate TRAIL antibodies for experimental use?

Proper validation of TRAIL antibodies is essential to ensure experimental reproducibility and reliable results. A systematic approach includes:

  • Specificity testing: Evaluate antibody performance using appropriate positive and negative controls:

    • Positive controls: Human milk for Western blot, kidney tissue for IHC

    • Negative controls: Isotype-matched antibodies or blank controls

  • Application-specific validation:

    • For Western blot: Confirm detection at the expected molecular weights (33 kDa, 20 kDa)

    • For IHC/IF: Compare staining patterns against literature-documented expression

    • For neutralization studies: Use dose-dependent assays to determine neutralizing capacity

  • Quantitative assessment: Calculate percent positive events by comparing to appropriate background:

    • Compare signal to the 99th percentile of blank or isotype controls

    • Calculate correlation between blank-based and isotype-matched controls (typically >0.94)

  • Cross-reactivity testing: For multi-species studies, verify specific reactivity with target species and minimal cross-reactivity with non-target species

A comprehensive validation includes documenting antibody performance metrics in your specific experimental system rather than relying solely on manufacturer claims.

What experimental approaches can accurately assess TRAIL antibody neutralizing activity?

Evaluating the neutralizing capacity of TRAIL antibodies requires robust experimental designs that quantitatively measure inhibition of TRAIL-induced apoptosis:

  • Cell-based cytotoxicity neutralization assay:

    • Establish a dose-response curve using a TRAIL-sensitive cell line (e.g., L-929 mouse fibroblasts)

    • Pre-incubate recombinant TRAIL with increasing concentrations of neutralizing antibody

    • Measure cell viability using appropriate assays (MTT, LDH release, or flow cytometry with Annexin V/PI staining)

    • Calculate neutralization dose 50 (ND50), typically 0.02-0.08 μg/mL for effective antibodies

  • Receptor competition assay:

    • Use recombinant TRAIL receptors (e.g., TRAIL R3/TNFRSF10C Fc Chimera) as baseline

    • Determine antibody capacity to disrupt TRAIL-receptor binding

    • Quantify through ELISA or surface plasmon resonance techniques

  • Actinomycin D co-treatment model:

    • Include metabolic inhibitor actinomycin D (1 μg/mL) to sensitize cells to TRAIL-induced apoptosis

    • Measure antibody's ability to reverse this sensitized state

    • This approach enhances assay sensitivity and reproducibility

The effectiveness of neutralizing antibodies should be reported as both ND50 values and percent inhibition at specific concentrations to facilitate cross-laboratory comparisons.

How can researchers design experiments to investigate TRAIL antibody specificity for different TRAIL receptors?

Investigating TRAIL antibody specificity across the five known TRAIL receptors requires methodical experimental design:

  • Receptor-specific ELISA assays:

    • Coat plates with recombinant versions of individual TRAIL receptors:

      • TRAIL R1 (DR4)

      • TRAIL R2 (DR5, TRICK)

      • TRAIL R3 (TRID, DcR1)

      • TRAIL R4 (TRUNDD, DcR2)

      • Osteoprotegerin

    • Test antibody binding to each receptor independently

    • Calculate relative binding affinity for each receptor type

  • Competitive binding studies:

    • Pre-incubate antibodies with individual recombinant receptors

    • Measure residual binding to cell lines expressing multiple receptors

    • Quantify displacement patterns to determine receptor preference

  • Receptor knockout/knockdown validation:

    • Use cell lines with genetic modification of specific TRAIL receptors

    • Compare antibody binding/function across modified cell panels

    • Validate with complementation studies (receptor re-expression)

  • Cross-linking experiments:

    • Employ chemical cross-linking between antibodies and receptors

    • Analyze complexes via Western blot or mass spectrometry

    • Map epitope-receptor interactions

These approaches collectively provide a comprehensive profile of antibody-receptor specificity, which is critical for interpretation of experimental outcomes and therapeutic development.

What are the methodological considerations for using TRAIL antibodies in combination therapy research?

Combination therapy research involving TRAIL antibodies requires careful experimental design to accurately assess synergistic or antagonistic effects:

  • Synergy experimental design:

    • Implement factorial design testing multiple concentrations of TRAIL antibodies with partner agents

    • Calculate combination index (CI) using Chou-Talalay method to quantify synergy

    • Test combinations in multiple cell lines to assess consistency of effects

  • Molecular mechanism investigation:

    • When combining with immune checkpoint inhibitors (e.g., PD-1/PD-L1 blockers):

      • Assess changes in immune cell infiltration and activation

      • Measure alterations in cytokine profiles

      • Evaluate changes in tumor microenvironment

    • For combinations with conventional chemotherapies:

      • Determine sequence-dependent effects (concurrent vs. sequential administration)

      • Monitor changes in apoptotic pathway activation

      • Assess impact on cellular stress responses

  • Delivery optimization for combined agents:

    • For nanoparticle-based delivery:

      • Optimize antibody loading protocols (e.g., incubation at 4°C for 24h)

      • Ensure purification of antibody-loaded nanoparticles (ultracentrifugation at 15,000×g for 15 min at 10°C)

      • Validate maintenance of antibody functionality after loading

  • In vivo assessment approaches:

    • Design treatment schedules that account for pharmacokinetic differences between agents

    • Include appropriate control groups (each agent alone, vehicle)

    • Monitor both efficacy endpoints and potential toxicity signals

These methodological considerations help researchers rigorously evaluate combination approaches that may enhance therapeutic efficacy while minimizing off-target effects.

How should researchers design protocols for central nervous system delivery of TRAIL antibodies?

Delivering TRAIL antibodies to the central nervous system presents unique challenges due to blood-brain barrier restrictions. Methodological approaches include:

  • Intranasal administration protocol:

    • Prepare antibody solutions at optimal concentration (0.05 mg/mL; 200 μL/mouse)

    • Consider nanoparticle formulations to enhance delivery:

      • NANO-A complex: Polysaccharide-based nanoparticles

      • NANO-B complex: Alternative nanocarrier formulations

    • Administer carefully with appropriate animal positioning to maximize nasal absorption

  • Blood-brain barrier penetration assessment:

    • Sacrifice experimental animals at defined timepoints (e.g., 24h post-administration)

    • Perform tissue sectioning and immunofluorescence to detect antibody distribution

    • Quantify antibody levels in brain regions using ELISA or Western blotting

    • Compare intranasal vs. intraperitoneal administration efficiency

  • Functional validation in neurodegenerative models:

    • For Alzheimer's disease research, evaluate:

      • Functional recovery in behavioral tests

      • Changes in Aβ plaque burden

      • Rebalancing of neuroinflammatory responses

      • Reduction in TRAIL-mediated neurotoxicity

This approach is particularly relevant given evidence that TRAIL immunoreactivity is detected near Aβ plaques in human post-mortem AD brain, suggesting its importance as a therapeutic target in neurodegenerative diseases.

What methodologies enable effective use of TRAIL antibodies in high-throughput screening applications?

Incorporating TRAIL antibodies into high-throughput screening requires streamlined workflows and robust quality control:

  • Antibody panel optimization:

    • Create lyophilized antibody panels to ensure stability and reduce preparation time

    • Implement two-tier barcoding systems for sample identification and tracking

    • Develop standardized acquisition protocols for consistent results across batches

  • Data processing pipeline development:

    • Establish automated analysis workflows to process large datasets

    • Implement quality control metrics such as Quality AOF (Area Over Function):

      • Calculate marker-specific averages

      • Normalize against reference samples

      • Flag deviations beyond established thresholds

  • Positive event determination protocol:

    • Define positive events based on signal exceeding the 99th percentile of control samples

    • Validate thresholds using both blank wells and isotype-matched controls

    • Document correlation between threshold methods (typically >0.94)

  • Cloud-based analytics implementation:

    • Use specialized platforms for large dataset analysis

    • Implement standardized gating strategies

    • Develop visualization tools for rapid interpretation of screening results

This methodology has been successfully applied to screen 326 antibodies across PBMC subsets, generating comprehensive expression profiles that can guide antibody selection for specific cell populations.

What are the optimal protocols for using TRAIL antibodies in Western blotting applications?

Successful Western blotting with TRAIL antibodies requires attention to technical details:

  • Sample preparation optimization:

    • For cell lysates: Use RIPA buffer with protease inhibitors

    • For tissue samples: Homogenize thoroughly in cold lysis buffer

    • Include phosphatase inhibitors if investigating phosphorylated forms

    • Determine optimal protein loading (typically 20-40 μg/lane)

  • Detailed Western blot protocol:

    • Gel selection: 12-15% SDS-PAGE for optimal resolution

    • Transfer conditions: 100V for 60-90 minutes using PVDF membrane

    • Blocking: 5% non-fat milk or BSA in TBST for 1 hour at room temperature

    • Primary antibody: Dilute 1:500-1:3000 in blocking buffer, incubate overnight at 4°C

    • Secondary antibody: HRP-conjugated at 1:2000-1:5000 dilution for 1 hour at room temperature

    • Detection: Enhanced chemiluminescence (ECL) technique

  • Expected results interpretation:

    • Anticipated bands: 33 kDa (full-length) and 20 kDa (cleaved form)

    • Positive control: Human milk samples show consistent TRAIL expression

    • Troubleshooting: Non-specific bands may require additional optimization of antibody dilution or blocking conditions

  • Validation approaches:

    • Include positive and negative control samples

    • Consider knockout/knockdown samples for specificity confirmation

    • For multiple isoform detection, validate band identity with recombinant standards

This methodological approach ensures reliable and reproducible Western blot results when working with TRAIL antibodies.

What quality control criteria should researchers apply when developing immunohistochemistry protocols with TRAIL antibodies?

Rigorous quality control for TRAIL antibody immunohistochemistry includes:

  • Antigen retrieval optimization:

    • Test multiple methods to determine optimal conditions:

      • TE buffer pH 9.0 (recommended for many TRAIL antibodies)

      • Citrate buffer pH 6.0 (alternative method)

    • Evaluate impact of retrieval time and temperature on staining quality

  • Dilution optimization protocol:

    • Perform titration experiments (recommended range: 1:50-1:500)

    • Test each new antibody lot to account for potential variation

    • Document optimal conditions for specific tissue types

  • Control implementation:

    • Positive tissue controls: Human kidney and lymphoma tissues show reliable TRAIL expression

    • Negative controls: Include isotype control antibodies and peptide competition assays

    • Technical controls: Secondary-only and substrate-only controls to assess background

  • Staining evaluation criteria:

    • Assess subcellular localization (membrane, cytoplasmic, nuclear)

    • Evaluate staining intensity using standardized scoring systems (0-3+)

    • Document cell type-specific expression patterns

    • Implement digital image analysis for quantitative assessment

  • Detection system selection:

    • DAB staining shows good contrast and stability for archiving

    • Fluorescent detection enables multi-parameter analysis

    • Amplification systems may be needed for low-abundance targets

Following these methodological guidelines ensures consistent and reliable immunohistochemical detection of TRAIL in research samples.

How can researchers ensure optimal storage and handling of TRAIL antibodies to maintain functionality?

Proper storage and handling of TRAIL antibodies is critical for maintaining their activity and ensuring experimental reproducibility:

  • Storage condition optimization:

    • Temperature: Store at -20°C for long-term preservation

    • Buffer composition: PBS with 0.02% sodium azide and 50% glycerol pH 7.3 typically used

    • Stability period: Most antibodies remain stable for one year after shipment under proper conditions

  • Aliquoting protocol:

    • Divide antibodies into single-use aliquots upon receipt

    • Use sterile microcentrifuge tubes

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

    • For -20°C storage, aliquoting may be unnecessary for some formulations

  • Working solution preparation:

    • Dilute antibodies immediately before use

    • Use fresh, cold buffer solutions

    • For carrier protein addition, 0.1% BSA may be included in smaller volume formulations

    • Filter sterilize solutions if extended use is planned

  • Quality control monitoring:

    • Document lot numbers and receipt dates

    • Implement expiration date tracking systems

    • Periodically test antibody activity using consistent positive controls

    • Monitor for signs of degradation (precipitation, loss of activity, increased background)

These methodological considerations help maintain antibody integrity and ensure consistent experimental results across studies and time periods.

What strategies can researchers employ to troubleshoot inconsistent results with TRAIL antibodies?

When facing inconsistent results with TRAIL antibodies, researchers should implement a systematic troubleshooting approach:

  • Antibody validation reassessment:

    • Verify antibody specificity using positive and negative controls

    • Consider using alternative antibody clones targeting different epitopes

    • Implement knockout/knockdown controls where possible to confirm specificity

    • Check for lot-to-lot variations by requesting certificate of analysis data

  • Protocol optimization matrix:

    • Systematically vary key parameters:

      • Antibody concentration/dilution

      • Incubation time and temperature

      • Blocking conditions

      • Detection systems

    • Document outcomes to identify optimal conditions

  • Sample preparation evaluation:

    • For protein analysis: Assess different lysis buffers and protease inhibitor cocktails

    • For tissue analysis: Compare fixation methods and durations

    • For cells: Evaluate collection timing relative to treatments or stimulations

  • Technical troubleshooting decision tree:

    • For high background: Increase blocking, reduce antibody concentration, optimize washing

    • For weak signal: Increase antibody concentration, extend incubation time, enhance detection

    • For non-specific bands: Optimize blocking, adjust antibody dilution, increase washing stringency

    • For inconsistent replicates: Standardize sample handling, use internal controls, implement automated protocols

By methodically addressing these factors, researchers can identify and resolve sources of inconsistency in TRAIL antibody experiments, ensuring more reliable and reproducible results.

How are bispecific antibody approaches being applied in TRAIL research?

Bispecific antibody technology represents an innovative approach in TRAIL research with distinct methodological considerations:

This methodological framework enables researchers to systematically evaluate bispecific TRAIL antibody approaches that show promise for enhancing therapeutic efficacy while minimizing side effects.

What methodologies are employed to develop antibodies that selectively neutralize specific TRAIL receptors?

Developing antibodies with selective neutralizing activity against specific TRAIL receptors requires specialized approaches:

  • Target-selective screening strategy:

    • Design antigen presentation to highlight unique epitopes on specific receptors:

      • TRAIL R1 (DR4)

      • TRAIL R2 (DR5)

      • TRAIL R3 (DcR1)

      • TRAIL R4 (DcR2)

      • Osteoprotegerin

    • Implement differential screening against receptor panels to identify selective binders

    • Create chimeric receptor constructs to map binding domains

  • Neutralization selectivity assessment:

    • Develop cell lines with defined receptor expression profiles

    • Measure differential inhibition of TRAIL-induced apoptosis in receptor-specific contexts

    • Quantify neutralization dose response curves for each receptor type

  • Epitope mapping methodologies:

    • Alanine scanning mutagenesis to identify critical binding residues

    • Hydrogen-deuterium exchange mass spectrometry to characterize binding interfaces

    • X-ray crystallography or cryo-EM for structural determination of antibody-receptor complexes

  • Functional selectivity validation:

    • Assess impact on specific signaling pathways downstream of individual receptors

    • Evaluate selective blockade in mixed receptor expression systems

    • Confirm maintenance of selectivity in physiologically relevant conditions

These approaches enable the development of highly selective antibodies that can target specific TRAIL receptor functions, facilitating precise modulation of TRAIL signaling for research and therapeutic applications.

How can researchers assess TRAIL antibody developability for potential therapeutic applications?

Evaluating TRAIL antibodies for therapeutic potential requires comprehensive developability assessment:

  • Integrated high-throughput developability workflow:

    • Implement early-stage screening during lead discovery

    • Establish data management systems for comprehensive candidate profiling

    • Accelerate candidate selection while reducing development risks

  • Key developability parameters to evaluate:

    • Biophysical properties:

      • Thermal stability (Tm, Tagg)

      • Colloidal stability

      • Hydrophobicity profiles

    • Chemical stability:

      • Oxidation susceptibility

      • Deamidation propensity

      • Glycosylation patterns

    • Manufacturing considerations:

      • Expression levels

      • Purification behavior

      • Formulation compatibility

  • Systematic assessment approach:

    • Create diverse panels of candidate antibodies (e.g., 152 human/humanized mAbs)

    • Represent multiple human germline V-genes:

      • Human kappa light chain subgroups I, III, IV

      • Human lambda subgroup I

      • Human heavy chain subgroups I and III

    • Evaluate across multiple therapeutic formats (IgG1/IgG4 isotypes)

  • Decision matrix implementation:

    • Define critical quality attributes and their acceptable ranges

    • Establish weighted scoring systems for candidate ranking

    • Integrate structure-based predictions with experimental data

    • Create developability risk assessments to guide candidate selection

This methodological framework ensures that only the most robust TRAIL antibody molecules progress to development activities, reducing attrition rates and accelerating therapeutic development timelines.

What approaches are used to evaluate TRAIL antibody efficacy in immunotherapy research models?

Assessing TRAIL antibody efficacy in immunotherapy contexts requires specialized methodological considerations:

  • Immune response assessment protocols:

    • Analyze changes in tumor-infiltrating lymphocyte profiles

    • Quantify alterations in cytokine/chemokine networks

    • Measure shifts in myeloid cell polarization (M1/M2 balance)

    • Evaluate natural killer cell activation and function

  • Combination therapy experimental design:

    • Pairing TRAIL antibodies with immune checkpoint inhibitors:

      • PD-1/PD-L1 blockers

      • CTLA-4 inhibitors

      • Novel checkpoint targets

    • Testing sequence-dependent effects (concurrent vs. sequential administration)

    • Measuring synergistic activation of anti-tumor immunity

  • Mechanistic evaluation approaches:

    • Assess cross-talk between apoptosis and immune activation

    • Investigate immunogenic cell death induction

    • Evaluate epitope spreading and diversification of immune responses

    • Measure memory T cell formation and persistence

  • In vivo model selection criteria:

    • Humanized immune system models for human-specific antibodies

    • Syngeneic models with intact immune systems for mechanistic studies

    • Genetically engineered models representing specific disease contexts

    • Patient-derived xenografts for translational relevance

These methodological approaches enable comprehensive evaluation of TRAIL antibodies within immunotherapy research, facilitating the development of more effective combination treatment strategies with potential for enhanced clinical outcomes.

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