The LTA4H Antibody, HRP conjugated, is a recombinant monoclonal antibody designed to target Leukotriene A4 Hydrolase (LTA4H), a bifunctional zinc metallo-enzyme involved in leukotriene biosynthesis and cancer progression. This antibody is engineered for use in enzymatic assays, primarily ELISA, to detect LTA4H protein levels in human samples. Its conjugation with Horseradish Peroxidase (HRP) enables enzymatic detection via chromogenic or chemiluminescent substrates, facilitating quantitative analysis of LTA4H expression.
The antibody is optimized for ELISA protocols to quantify LTA4H protein in human tissues or cell lysates. Its specificity ensures accurate detection of LTA4H without cross-reactivity, making it useful for studying LTA4H’s role in:
Cancer: Overexpression of LTA4H has been linked to skin carcinogenesis and laryngeal squamous cell carcinoma (LSCC), where it regulates cell cycle progression and tumor growth .
Inflammation: LTA4H converts LTA4 to LTB4, a potent inflammatory mediator, and degrades pro-inflammatory peptides like Pro-Gly-Pro .
Neuroprotection: Inhibition of LTA4H has shown promise in improving age-related cognitive decline by modulating synaptic function .
Skin Carcinogenesis: LTA4H depletion in a DMBA/TPA-induced mouse model reduced tumor incidence by 60% and induced G0/G1 cell cycle arrest .
LSCC Pathogenesis: LTA4H binds to mRNAs and lncRNAs regulating mitotic pathways, suggesting its role in tumor proliferation .
The antibody binds specifically to LTA4H’s active site, enabling detection of its enzymatic activity. LTA4H’s dual functions—converting LTA4 to LTB4 and degrading pro-inflammatory peptides—make it a critical target for both anti-inflammatory therapies and cancer treatment .
HRP catalyzes the oxidation of substrates (e.g., TMB) to produce a detectable color change or chemiluminescence. This conjugation enhances assay sensitivity, allowing precise quantification of LTA4H levels in complex biological samples .
Leukotriene A4 Hydrolase (LTA4H) is a bifunctional enzyme with both epoxide hydrolase and aminopeptidase activities. The mature chain of human LTA4H consists of 610 amino acids (residues 2-611) and is highly specific for LTA4, which can also covalently modify and inhibit the enzyme . LTA4H has emerged as a significant research target due to its involvement in inflammatory processes and, more recently, its association with cancer development.
The importance of LTA4H in research has increased substantially following discoveries that it functions not only as a metabolic enzyme but also as an RNA-binding protein (RBP) involved in post-transcriptional control of specific mRNAs . This dual functionality positions LTA4H at the intersection of inflammatory pathways and gene regulation, making it a valuable target for both basic research and therapeutic development.
HRP-conjugated LTA4H antibodies contain horseradish peroxidase directly linked to the antibody molecule, eliminating the need for secondary antibody incubation steps in detection protocols. This conjugation provides several methodological advantages over non-conjugated antibodies:
Direct detection capability that reduces protocol time and complexity
Decreased background signal due to elimination of secondary antibody cross-reactivity
Enhanced sensitivity for low-abundance targets through enzymatic amplification
Compatibility with one-step detection systems in western blotting and immunohistochemistry
In practice, researchers typically use HRP-conjugated antibodies in western blot protocols by incubating membranes with the conjugated antibody for approximately 1 hour at room temperature, followed by direct visualization using chemiluminescent substrates . This streamlined approach contrasts with non-conjugated antibodies, which require a two-step incubation process with primary and secondary antibodies.
For optimal western blot results using HRP-conjugated LTA4H antibodies, researchers should implement the following protocol:
Sample Preparation:
Extract proteins from tissues or cells using RIPA buffer supplemented with protease inhibitors
Quantify proteins using Bradford or BCA assay to ensure equal loading
Gel Electrophoresis and Transfer:
Separate 20-40 μg of protein on 10-12% SDS-PAGE gels
Transfer to PVDF or nitrocellulose membranes at 100V for 60-90 minutes
Blocking and Antibody Incubation:
Detection:
Apply ECL substrate directly to membrane
Image using chemiluminescence detection system
Quantify band intensity using appropriate software (ImageJ, etc.)
Critical troubleshooting considerations include optimizing antibody concentration, ensuring adequate blocking to minimize background, and maintaining consistent washing procedures to preserve signal-to-noise ratio.
Validating antibody specificity is crucial for reliable research outcomes. For LTA4H antibodies, implement the following validation approaches:
Positive and Negative Controls:
Use recombinant LTA4H protein as positive control
Include samples from LTA4H knockout models as negative controls
Compare expression in tissues known to have differential LTA4H expression
Multiple Detection Methods:
Cross-validate western blot findings with immunohistochemistry
Perform immunoprecipitation followed by mass spectrometry
Compare results with orthogonal detection methods like qRT-PCR for mRNA expression
Peptide Competition Assays:
Pre-incubate antibody with purified LTA4H peptide
Observe elimination of specific signal in subsequent detection
Quantify signal reduction to assess specificity
siRNA Knockdown Verification:
Perform western blot on samples with LTA4H knockdown
Confirm reduction in signal correlates with knockdown efficiency
Validate with multiple siRNA constructs to rule out off-target effects
These validation steps ensure experimental results accurately reflect LTA4H biology rather than artifacts from non-specific antibody binding.
LTA4H antibodies have become instrumental in elucidating the enzyme's role in cancer pathogenesis through several advanced applications:
Tumor Tissue Microarray Analysis:
LTA4H antibodies are applied to tumor tissue microarrays to correlate expression with clinical outcomes
Studies have demonstrated that high LTA4H expression correlates with poor prognosis in head and neck squamous cell carcinoma (HNSCC)
Immunohistochemical staining patterns reveal subcellular localization changes in malignant versus normal tissues
Signaling Pathway Dissection:
Western blotting with LTA4H antibodies helps identify downstream effectors in cancer pathways
Research has shown LTA4H's involvement in proliferation pathways through its interaction with critical oncogenes
Co-immunoprecipitation using LTA4H antibodies reveals protein-protein interactions in cancer signaling networks
In vivo Tumor Models:
LTA4H antibodies track enzyme expression in patient-derived xenograft (PDX) models
Immunohistochemical analysis of Apc^Min/+^ mouse models using LTA4H antibodies has demonstrated the enzyme's role in colorectal tumorigenesis
Correlation between LTA4H expression and Ki-67 staining provides insights into proliferation mechanisms
Treatment Response Monitoring:
LTA4H antibodies are used to assess target engagement following LTA4H inhibitor treatment
Studies with bestatin have used LTA4H antibodies to confirm decreased pathway activation and reduced proliferation markers
Quantitative image analysis of immunostained samples provides biomarker data for treatment efficacy
These applications have collectively established LTA4H as a potential therapeutic target across multiple cancer types, particularly in colorectal and laryngeal cancers.
Contradictory findings regarding LTA4H in cancer research present significant challenges. Researchers should implement the following methodological approaches to address discrepancies:
Standardized Quantification Methods:
Employ digital pathology with validated scoring algorithms
Use consistent thresholds for categorizing "high" versus "low" expression
Report quantitative metrics rather than subjective assessments
Context-Specific Analysis:
Stratify samples by molecular subtypes within each cancer type
Analyze expression in relation to tumor microenvironment characteristics
Consider temporal dynamics of expression during disease progression
Multi-omics Integration:
Correlate protein expression data with transcriptomic profiles
Analyze epigenetic modifications that might explain expression differences
Implement proteogenomic approaches to relate genetic alterations to protein function
Functional Validation Studies:
Perform gain and loss of function experiments in appropriate model systems
Evaluate enzymatic activity in addition to expression levels
Test the effects of selective inhibitors across diverse cancer models
By implementing these approaches, researchers can reconcile seemingly contradictory findings and develop a more nuanced understanding of LTA4H's context-dependent roles in cancer biology.
Recent discoveries have revealed LTA4H's unexpected function as an RNA-binding protein, requiring specialized methodological approaches:
Improved RNA Immunoprecipitation (iRIP-seq):
Protocol Optimization:
Cross-link cells with formaldehyde to preserve RNA-protein interactions
Lyse cells in specialized buffers containing RNase inhibitors
Use LTA4H antibodies (either native or epitope-tagged versions) for immunoprecipitation
Wash stringently to remove non-specific interactions
Reverse cross-links and isolate RNA for downstream analysis
Control Strategies:
Include IgG control immunoprecipitations
Perform RNA-binding assays in LTA4H-depleted cells
Use CRISPR-edited cells expressing RNA-binding-deficient LTA4H mutants
Data Analysis Approaches:
Apply ABLIRC method to identify LTA4H-bound peaks precisely
Look for enriched sequence motifs (such as the AAGG motif found in LTA4H binding peaks)
Perform GO analysis on bound transcripts to identify biological pathways (studies have shown enrichment in mitotic cell cycle, DNA repair, and RNA splicing-related pathways)
This methodology has led to the significant finding that LTA4H binds to cancer-associated genes including LTBP3, ROR2, EGFR, HSP90B1, and lncRNAs like NEAT1, providing new mechanistic insights into its role in carcinogenesis .
When using HRP-conjugated LTA4H antibodies to study RNA-protein interactions, researchers face several technical challenges that require specific solutions:
Signal Interference Issues:
Challenge: HRP conjugation can interfere with antibody binding to RNA-protein complexes
Solution: Perform parallel experiments with conjugated and non-conjugated antibodies to ensure comparable RNA enrichment
Validation: Quantify RNA recovery using RT-qPCR for known targets to confirm antibody performance
Cross-linking Complications:
Challenge: Formaldehyde cross-linking may mask epitopes recognized by the antibody
Solution: Optimize cross-linking conditions (time, concentration) specifically for LTA4H
Alternative: Consider UV cross-linking for direct RNA-protein interactions
RNase Contamination Risks:
Challenge: HRP preparation may contain trace RNase activity
Solution: Include additional RNase inhibitors in all buffers
Quality Control: Verify RNA integrity after immunoprecipitation using bioanalyzer
Detection Method Compatibility:
Challenge: Traditional RNA visualization methods may be affected by HRP activity
Solution: Include appropriate quenching steps before RNA isolation
Alternative Approach: Consider using epitope-tagged LTA4H with anti-tag antibodies for RNA studies
These technical considerations are essential for generating reliable data when investigating the emerging RNA-binding functions of LTA4H in cancer and inflammatory conditions.
LTA4H antibodies serve as critical tools for evaluating inhibitor efficacy in clinical research:
Target Engagement Assessment:
Use western blotting with LTA4H antibodies to quantify protein levels before and after inhibitor treatment
Perform immunohistochemistry on paired pre- and post-treatment tissue samples
Correlate changes in LTA4H pathway activation with clinical response
Pharmacodynamic Biomarker Development:
Patient Stratification Strategies:
Categorize patients based on baseline LTA4H expression using immunohistochemistry
Correlate expression levels with treatment response to identify responsive subgroups
Develop predictive algorithms integrating LTA4H status with other clinical parameters
Resistance Mechanism Investigation:
Use LTA4H antibodies to assess protein expression in treatment-resistant samples
Identify alterations in LTA4H localization or post-translational modifications
Combine with RNA analysis to detect splice variants that might confer resistance
Research with bestatin (an LTA4H inhibitor) in colorectal cancer has demonstrated the utility of this approach, where treatment efficacy was evaluated through LTB4 concentration measurements and immunohistochemical analysis of the LTA4H pathway activation .
The development of LTA4H and LTB4 as prognostic biomarkers requires rigorous methodological approaches:
Sample Collection Standardization:
Establish protocols for tissue preservation that maintain LTA4H integrity
Standardize blood collection timing relative to treatment cycles
Implement quality control metrics for sample processing
Assay Development and Validation:
Tissue Analysis:
Optimize immunohistochemistry protocols with multiple LTA4H antibodies
Develop automated scoring systems to reduce inter-observer variability
Validate scoring against patient outcomes in retrospective cohorts
Blood Biomarker Analysis:
Validate ELISA or mass spectrometry methods for LTB4 quantification
Establish reference ranges in healthy and disease populations
Determine stability parameters for sample storage and processing
Multivariate Analysis Frameworks:
Integrate LTA4H/LTB4 biomarkers with established prognostic factors
Develop statistical models that account for confounding variables
Validate in independent patient cohorts across different cancer types
Clinical Implementation Strategies:
Determine optimal sampling frequency for longitudinal monitoring
Establish clinically relevant thresholds for intervention
Develop standard operating procedures for clinical laboratories
Research has demonstrated that LTA4H expression levels correlate with survival probability in colorectal cancer and head and neck squamous cell carcinoma, with high expression associated with poor prognosis . Similarly, LTB4 concentration in blood samples has shown promise as a biomarker for evaluating treatment efficacy and disease progression .
Researchers frequently encounter these technical challenges with HRP-conjugated LTA4H antibodies:
High Background Signal:
Cause: Insufficient blocking or non-specific binding
Solution: Increase blocking time and concentration (5-10% blocking agent)
Alternative: Use different blocking agents (BSA, casein, or commercial alternatives)
Additional Step: Include 0.1-0.3% Tween-20 in wash buffers to reduce hydrophobic interactions
Weak or Absent Signal:
Cause: Epitope masking or protein degradation
Solution: Optimize protein extraction method to preserve LTA4H structure
Alternative: Try different lysis buffers that maintain enzymatic activity
Verification: Include positive control samples with known LTA4H expression
Multiple Bands or Unexpected Band Sizes:
Cause: Cross-reactivity, post-translational modifications, or splice variants
Solution: Validate with recombinant LTA4H and knockout controls
Analysis: Compare band patterns across multiple tissue types
Confirmation: Perform mass spectrometry to identify unexpected bands
Signal Variability Between Experiments:
Cause: Antibody degradation or sample preparation inconsistency
Solution: Aliquot antibody to avoid freeze-thaw cycles
Quality Control: Include internal reference samples in each experiment
Standardization: Develop standard curves with recombinant protein
Implementation of these troubleshooting approaches ensures reliable and reproducible results when utilizing HRP-conjugated LTA4H antibodies in research applications.
Ensuring antibody consistency is critical for longitudinal studies spanning months or years:
Initial Characterization Protocol:
Perform titration experiments to determine optimal working concentration
Create standard curves using recombinant LTA4H protein
Document specific detection limits and linear range
Store reference images and quantification data as baseline
Regular Quality Control Testing:
Maintain reference sample set (positive, negative, and gradient controls)
Test each new antibody batch against reference samples
Compare signal-to-noise ratio, EC50 values, and detection limits
Document lot-specific performance characteristics
Cross-Validation Methods:
Use multiple detection methods (western blot, ELISA, IHC)
Perform parallel testing with previously validated antibody lots
Calculate correlation coefficients between old and new batches
Establish acceptance criteria based on statistical variability
Long-term Reference Standards:
Create and preserve stable reference materials (lysates, tissue blocks)
Implement normalization procedures using housekeeping proteins
Maintain a dedicated antibody performance database
Develop mathematical correction factors for inter-batch variability
This systematic approach to antibody validation is essential for generating comparable data across extended research timelines, particularly in longitudinal clinical studies evaluating LTA4H as a biomarker or therapeutic target.
Recent discoveries about LTA4H's dual functionality open new research avenues requiring sophisticated methodological approaches:
Domain-Specific Functional Analysis:
Use domain-specific LTA4H antibodies to distinguish between enzymatic and RNA-binding regions
Perform structure-function studies with mutant LTA4H constructs
Correlate RNA binding with enzymatic activity in various cellular contexts
Cellular Compartmentalization Studies:
Employ subcellular fractionation followed by western blotting
Perform immunofluorescence with LTA4H antibodies to track localization changes
Correlate subcellular distribution with specific functions in different cell types
Integrated Multi-omics Approach:
Combine RNA-seq, iRIP-seq, and proteomics data
Develop computational models of LTA4H's dual functionality
Map interaction networks specific to each function
Translational Regulation Investigation:
Analyze polysome profiles with LTA4H antibodies
Perform RNA stability assays in the presence/absence of LTA4H
Investigate the role of LTA4H in stress granule formation during cellular stress
This integrated approach will help elucidate how LTA4H coordinates its enzymatic and RNA-binding functions, particularly in contexts where it influences cancer-related pathways like mitotic cell cycle, DNA repair, and RNA splicing .
The intersection of LTA4H biology with cancer immunology presents exciting research opportunities:
Immune Cell Infiltration Analysis:
Multiplex immunohistochemistry combining LTA4H with immune cell markers
Spatial transcriptomics to correlate LTA4H expression with immune microenvironment
Flow cytometry protocols for analyzing LTA4H in tumor-infiltrating lymphocytes
Checkpoint Inhibitor Combination Studies:
Investigate synergistic effects between LTA4H inhibitors and checkpoint blockers
Develop experimental protocols for sequential vs. concurrent administration
Establish biomarker panels to predict combination therapy response
Ex Vivo Tumor Modeling:
Organoid culture systems incorporating immune components
Patient-derived tumor spheroids treated with LTA4H inhibitors
Live-cell imaging approaches to track immune cell-tumor interactions
Immuno-Metabolic Profiling:
Measure LTB4 and other eicosanoids in the tumor microenvironment
Correlate metabolite profiles with immune cell activation states
Develop mass cytometry panels to simultaneously assess LTA4H and immune activation markers
These emerging approaches will help define LTA4H's role in the complex interplay between cancer cells and the immune system, potentially leading to novel immunotherapeutic strategies targeting the LTA4H pathway.