LECT2 (Leukocyte Cell-Derived Chemotaxin 2) is a chemotactic protein primarily secreted by hepatocytes, with roles in immune regulation, inflammation, and metabolic disorders . HRP-conjugated LECT2 antibodies are specialized reagents designed for immunoassays, where horseradish peroxidase (HRP) is covalently linked to the antibody’s Fc region. This conjugation enables enzymatic detection of LECT2 in samples via chromogenic substrates like TMB (3,3',5,5'-tetramethylbenzidine), generating a measurable colorimetric signal .
HRP-conjugated LECT2 antibodies are critical tools in studying LECT2’s role in diseases like atopic dermatitis, hepatocellular carcinoma, and amyloidosis.
In sandwich ELISA formats, HRP-conjugated antibodies serve as detection reagents. For example, Bioss’s LECT2 ELISA kit employs a biotinylated primary antibody and Avidin-HRP secondary, achieving high sensitivity for serum/plasma samples .
| Parameter | Value | Source |
|---|---|---|
| Detection Range | 0.156–10 ng/mL (varies by kit) | |
| Sample Types | Serum, plasma, cell culture supernatant | |
| Assay Time | ~3–4 hours |
In Western blotting, HRP-conjugated antibodies enable direct detection of LECT2 without secondary antibodies. Studies using non-conjugated LECT2 antibodies (e.g., MAB722) in IHC have identified LECT2 deposits in renal amyloidosis .
| Method | Use Case | Key Findings |
|---|---|---|
| Western Blot | Quantify LECT2 in cell lysates | Reduced FLG/IVL in AD |
| Immunohistochemistry | Localize LECT2 in tissue sections | Amyloid deposits in kidneys |
HRP conjugation enhances antibody functionality without compromising specificity. The reaction typically involves:
Activation: NHS ester groups on HRP react with antibody lysine residues.
Purification: Unbound HRP is removed via size-exclusion chromatography.
This process preserves the antibody’s binding affinity while enabling enzymatic amplification. For example, in LECT2-associated renal amyloidosis, HRP-conjugated antibodies aid in visualizing misfolded LECT2 fibrils .
Studies using LECT2 antibodies (e.g., MAB722) reveal its role in exacerbating atopic dermatitis (AD) by activating NF-κB, reducing barrier proteins (FLG, IVL), and increasing inflammatory cytokines (IL-1β, IL-4) .
| Disease | LECT2’s Role | Experimental Model |
|---|---|---|
| Atopic Dermatitis | Impairs skin barrier, promotes inflammation | DNCB-induced mice |
| Hepatocellular Carcinoma | Tumor suppressor via EMT inhibition | Huh-7, Hep3B cell lines |
HRP-conjugated antibodies enable precise quantification of LECT2 in clinical samples:
Renal Amyloidosis: Detects LECT2 deposits in biopsy specimens, confirming ALECT2 amyloidosis .
Metabolic Disorders: Correlates serum LECT2 levels with disease severity in NAFLD and atherosclerosis .
While HRP-conjugated LECT2 antibodies are reliable, challenges include:
LECT2 (leukocyte cell-derived chemotaxin 2) is a 16.4 kilodalton protein that plays important roles in various immunological processes. It may also be known as chm-II, chm2, and chondromodulin-II in the literature . Recent studies have demonstrated LECT2's involvement in inflammatory diseases, particularly atopic dermatitis (AD), where it exacerbates disease progression by impairing skin barrier function and increasing inflammatory responses through the activation of the NF-κB signaling pathway . Understanding LECT2's molecular functions provides valuable insights into immune regulation and potential therapeutic targets for inflammatory conditions. The protein contains a zinc-binding domain critical for its stability, with zinc loss potentially contributing to protein misfolding and disease states .
LECT2 antibody, HRP conjugated serves multiple critical research applications:
| Application | Detection Sensitivity | Sample Requirements | Key Advantages |
|---|---|---|---|
| Western Blot (WB) | 5-20 ng | Denatured protein samples | Provides information on molecular weight and expression levels |
| Immunohistochemistry (IHC) | Cell-specific detection | Fixed tissue sections | Allows visualization of protein localization in tissue context |
| ELISA | 0.5-5 ng/mL | Serum, plasma, cell culture supernatants | Quantitative measurement in liquid samples |
| Immunocytochemistry (ICC) | Subcellular detection | Fixed and permeabilized cells | Reveals subcellular localization patterns |
The HRP conjugation eliminates the need for secondary antibodies, simplifying protocols and reducing background. Different suppliers offer varying reactivity profiles, with some antibodies detecting human LECT2 specifically, while others cross-react with mouse, rabbit, rat, or guinea pig LECT2 .
Researchers should consider several factors when selecting a LECT2 antibody:
Target epitope location: Antibodies targeting different regions (e.g., N-terminal vs. full-length) may yield different results, especially when studying LECT2 variants .
Species reactivity: Ensure compatibility with your experimental model (human, mouse, etc.) .
Validated applications: Confirm the antibody has been validated for your specific application (WB, IHC, ELISA) .
Detection sensitivity: Consider the expected concentration of LECT2 in your samples.
Lot-to-lot consistency: Request information on quality control processes from suppliers.
For studies involving the V40 and I40 variants of LECT2 associated with amyloidosis, careful antibody selection is particularly important to ensure detection specificity for the variant of interest .
Optimal Western blotting conditions for LECT2 detection require careful protocol optimization:
| Parameter | Recommended Condition | Notes |
|---|---|---|
| Sample preparation | Add protease inhibitors and EDTA | Prevents degradation and preserves zinc binding |
| Protein loading | 20-50 μg total protein | May need optimization based on expression level |
| Blocking solution | 5% non-fat milk in TBST | BSA alternative for phospho-specific detection |
| Antibody dilution | 1:1000 - 1:5000 | Optimize based on supplier recommendations |
| Incubation time | Overnight at 4°C | Improves signal-to-noise ratio |
| Washing | 3-5 times with TBST, 5 minutes each | Crucial for reducing background |
| Detection method | Enhanced chemiluminescence | Superior sensitivity for low abundance proteins |
Critical considerations include ensuring complete protein transfer (particularly important for the 16.4 kDa LECT2), preventing non-specific binding, and implementing appropriate controls to validate specificity .
When designing experiments to study LECT2's role in atopic dermatitis, researchers should:
Establish appropriate model systems:
Implement comprehensive analytical approaches:
Design controlled interventions:
Recent research has demonstrated that LECT2 treatment increases inflammatory factor levels (TNF-α, IL-1β, IL-4, IL-6, IL-13, TSLP, RANTES) in TNF-α/IFN-γ-induced HaCaT cells, while decreasing barrier protein levels (FLG, IVL, LOR) . These molecular changes correlate with AD disease progression and severity.
Quantification of LECT2 in complex biological samples requires careful methodological consideration:
| Method | Sample Type | Sensitivity | Advantages | Limitations |
|---|---|---|---|---|
| ELISA with HRP-conjugated antibodies | Serum, plasma, cell culture supernatant | 0.5-5 ng/mL | High specificity, quantitative | Limited spatial information |
| Western blot with densitometry | Tissue/cell lysates | 5-20 ng | Size verification, semi-quantitative | Lower throughput |
| Immunohistochemistry with quantitative analysis | Tissue sections | Cell-specific | Spatial distribution, histological context | Primarily semi-quantitative |
| Mass spectrometry | Various | 1-10 ng/mL | High specificity, multiplexing | Complex sample preparation |
Laser microdissection coupled with mass spectrometry (LMD/MS) has emerged as a recommended method for confirming amyloid type in clinical specimens, including ALECT2 amyloidosis . For accurate quantification, researchers should include calibration curves using recombinant LECT2 standards and implement appropriate normalization strategies.
Zinc binding significantly impacts LECT2 stability and detection in experimental systems:
Stability implications:
Zinc-free LECT2 (apoLECT2) shows decreased stability and increased aggregation propensity .
Zinc affinity decreases approximately 60-fold when pH changes from 7.5 to 6.5, likely due to protonation of histidine residues at positions 35 and 120 .
Under normal blood pH (7.35-7.45), approximately 9-13% of LECT2 exists in the zinc-free form, increasing to 80% at pH 6.5 .
Methodological considerations for detection:
Sample buffer composition should be carefully controlled for pH and metal chelators.
EDTA in sample buffers may remove zinc, potentially altering epitope accessibility.
Antibodies raised against different regions may have differential sensitivity to zinc-bound versus zinc-free LECT2.
Experimental design implications:
Include both zinc-bound and zinc-free LECT2 controls when optimizing detection methods.
Consider pH effects when designing experiments, especially for kidney studies where pH can decrease to 5.5 in collecting ducts .
Account for potential competition from albumin, which chelates zinc in blood samples .
When studying LECT2 variants, particularly the V40 and I40 variants associated with amyloidosis, researchers should consider:
Antibody epitope specificity:
Verify whether your antibody can differentiate between variants or binds to a conserved region.
Consider using multiple antibodies targeting different epitopes for validation.
Expression system selection:
Stability and aggregation analysis:
Experimental controls:
Include both variant proteins as positive controls.
Implement knockdown/knockout controls to verify antibody specificity.
Consider the impact of buffer conditions on variant stability and detection.
Designing experiments to investigate LECT2 amyloidosis mechanisms requires a multifaceted approach:
In vitro aggregation studies:
Structural analysis:
Employ circular dichroism (CD) spectroscopy to assess secondary structure changes during aggregation.
Use transmission electron microscopy (TEM) to characterize fibril morphology.
Consider X-ray crystallography or NMR for high-resolution structural differences between variants.
Cellular models:
Develop cell lines expressing V40 or I40 LECT2 variants.
Assess intracellular aggregation using fluorescence microscopy.
Evaluate cellular responses to LECT2 aggregates (stress responses, inflammatory signaling).
Tissue analysis:
Technical variability in LECT2 antibody applications can arise from multiple sources:
| Source of Variability | Potential Impact | Mitigation Strategy |
|---|---|---|
| Antibody quality degradation | Reduced sensitivity, increased background | Proper storage (-20°C), avoid freeze-thaw cycles, use single-use aliquots |
| Buffer pH variations | Altered zinc binding, epitope changes | Standardize buffer preparation, include pH controls |
| Sample handling | Protein degradation, aggregation | Use protease inhibitors, consistent sample preparation protocols |
| Blocking efficiency | Non-specific binding, high background | Optimize blocking agent and duration, include negative controls |
| Detection system variability | Inconsistent signal strength | Use internal standards, consistent exposure times |
| Clone-specific behavior | Differential epitope recognition | Validate with multiple antibody clones when possible |
To address these variables, implement a comprehensive quality control system including standardized positive and negative controls, consistent sample handling protocols, and regular antibody validation procedures.
When faced with contradictory results between detection methods:
Consider method-specific limitations:
Western blot may detect denatured epitopes invisible to native-state methods.
ELISA may be affected by matrix effects absent in other techniques.
IHC results can be influenced by fixation methods that alter epitope accessibility.
Implement sequential validation strategies:
Confirm findings with multiple antibody clones targeting different epitopes.
Supplement antibody-based detection with non-antibody methods (mass spectrometry).
Perform knockdown/knockout experiments to verify specificity.
Evaluate the impact of LECT2 conformational states:
Consider biological variability:
Several emerging technologies show promise for advancing LECT2 research:
CRISPR-based technologies:
CRISPR activation/inhibition systems for precise modulation of LECT2 expression.
CRISPR knock-in models for studying LECT2 variants in physiologically relevant contexts.
CRISPR screens to identify functional interactors with LECT2.
Advanced imaging techniques:
Super-resolution microscopy for visualizing LECT2 aggregation at nanoscale resolution.
Intravital microscopy for studying LECT2 dynamics in live animal models.
Correlative light and electron microscopy (CLEM) for combining functional and structural information.
Proximity labeling approaches:
BioID or APEX2 fusion proteins to identify proximal interactors of LECT2.
Split-BioID systems to study conditional interactions dependent on zinc binding.
Systems biology approaches:
Multi-omics integration to understand LECT2's role in complex disease networks.
Mathematical modeling of LECT2 aggregation kinetics and pathway interactions.
Network analysis of LECT2-dependent signaling cascades in inflammatory contexts.
The elucidation of LECT2's role in atopic dermatitis provides several translational insights:
Pathway-specific interventions:
Biomarker development:
Structural interventions:
Amyloidosis connections: