LCE3C antibodies are utilized in diverse experimental contexts:
Immunodetection: ELISA, Western Blot (primary applications) .
Localization Studies: Immunohistochemistry (IHC) and immunofluorescence (IF) to map LCE3C expression in stratified epithelia .
Disease Research: Investigating psoriasis pathogenesis due to LCE3B/LCE3C deletion-associated risk .
Genetic Risk: Homozygous deletion of LCE3B and LCE3C increases psoriasis susceptibility by 1.3–1.5-fold .
Expression Dynamics:
Functional Impact: Compromised skin barrier and impaired antimicrobial defense (e.g., against Staphylococcus aureus) .
Autoimmune Links: Meta-analyses suggest associations with rheumatoid arthritis (OR = 1.31, P < 0.0001) .
Antimicrobial Activity: LCE3 proteins, including LCE3C, exhibit defensin-like properties against gram-positive/negative bacteria (MIC: 1–10 µM) .
Supplier | Product Type | Applications | Reactivity |
---|---|---|---|
Biocompare | Polyclonal/Monoclonal | ELISA, Western Blot | Human |
Ximbio | Monoclonal (Clone 7) | ELISA, IHC, IF | Human |
Protein Atlas | Not specified | IHC, IF | Human |
Host Species: Mouse
Immunogen: LCE3B fragment peptide
Cross-Reactivity: Pan-LCE3 (detects LCE3B, LCE3D, LCE3E)
Key Use: Studying epidermal differentiation in reconstructed skin models .
Epidermal Localization: LCE3C colocalizes with LCE2 proteins in the upper stratum granulosum, suggesting synergistic roles in terminal differentiation .
Barrier Repair: Induced by pro-inflammatory cytokines (e.g., IL-17, IL-22) during skin injury, linking it to psoriasis flare-ups .
LCE3C (Late Cornified Envelope 3C) is a structural protein component of the cornified envelope of the stratum corneum. It belongs to the LCE protein family, with synonyms including late envelope protein 15, small proline-rich-like epidermal differentiation complex protein 3A, and late cornified envelope protein 3C . The canonical human LCE3C protein has a reported length of 94 amino acid residues and a mass of 9.7 kDa with skin-specific expression . LCE proteins have been shown to possess antibacterial properties against both gram-positive and gram-negative bacteria, as well as aerobic and anaerobic species, suggesting a role in innate cutaneous host defense . During inflammation, LCE3 proteins are involved in skin repair processes, highlighting their importance in maintaining epidermal homeostasis .
The deletion of LCE3B and LCE3C genes (LCE3C_LCE3B-del) has been identified as a significant risk factor for psoriasis . This 32kb deletion is ancient and affects both genes simultaneously . Recent studies have also investigated its association with rheumatoid arthritis (RA). A meta-analysis combining data from Spanish, Chinese, and Dutch populations demonstrated a significant association between LCE3C_LCE3B-del and RA risk (p<0.0001, OR 1.31, 95% CI: 1.16-1.47) . This association appeared strongest in rheumatoid factor (RF) positive patients (p=0.0007, OR 1.27, 95% CI: 1.11-1.45) . The deletion may compromise barrier function, potentially allowing environmental antigens to trigger autoimmune responses in genetically susceptible individuals.
Several detection methods are available for studying LCE3C expression in research settings:
Enzyme-Linked Immunosorbent Assay (ELISA): Commonly used for quantitative detection of LCE3C in biological samples .
Immunohistochemistry (IHC): Allows visualization of LCE3C protein in tissue sections, providing insights into its localization and expression patterns .
Immunofluorescence (IF): Enables higher sensitivity detection and co-localization studies with other epidermal markers .
Western Blotting: Used for semi-quantitative analysis of LCE3C protein expression and confirmation of antibody specificity .
When selecting a detection method, researchers should consider the specific research question, sample type, and required sensitivity level. For example, IF might be preferable for co-localization studies, while ELISA would be more appropriate for quantitative analysis across multiple samples.
Selecting the appropriate anti-LCE3C antibody requires careful consideration of several factors:
Specificity: Determine whether you need an antibody specific to LCE3C or one that recognizes multiple LCE3 family members. For instance, the anti-pan-LCE3 monoclonal antibody (Catalog #160445) recognizes LCE3B, LCE3D, and LCE3E proteins, making it suitable for studies requiring detection of multiple LCE3 proteins .
Application compatibility: Verify that the antibody has been validated for your specific application (ELISA, IHC, IF, Western blot) . The documentation should include positive controls and demonstrated specificity.
Host species: Consider the host species (e.g., mouse for the pan-LCE3 monoclonal antibody) to avoid cross-reactivity issues when designing multi-color immunostaining protocols .
Monoclonal vs. polyclonal: Monoclonal antibodies offer higher specificity but may recognize only one epitope, while polyclonal antibodies might provide higher sensitivity but with potential cross-reactivity .
Validated applications: Review the literature and product data sheets to confirm antibody performance in applications similar to your experimental design.
When incorporating a new LCE3C antibody into your research, rigorous validation is essential to ensure reliable results:
Positive and negative controls: Include tissues or cells known to express high levels of LCE3C (e.g., differentiated keratinocytes) as positive controls, and tissues where LCE3C is absent as negative controls .
Antibody titration: Perform a dilution series to determine the optimal antibody concentration that maximizes specific signal while minimizing background.
Peptide competition assay: Pre-incubate the antibody with purified LCE3C peptide prior to staining to confirm binding specificity.
Knockout or knockdown validation: If available, utilize LCE3C knockout or knockdown samples to confirm antibody specificity.
Cross-reactivity assessment: Test the antibody against other LCE family members, particularly closely related proteins like LCE3B, LCE3D, and LCE3E .
Reproducibility testing: Perform replicate experiments to ensure consistent staining patterns across different batches of the same sample.
Comparison with alternative detection methods: Corroborate antibody-based detection results with mRNA expression data when possible.
Optimal sample preparation for LCE3C detection in skin tissues depends on the specific application but generally follows these methodological guidelines:
For immunohistochemistry and immunofluorescence:
Fix tissue samples in 4% paraformaldehyde for 24 hours
Process and embed in paraffin or optimal cutting temperature (OCT) compound for frozen sections
For paraffin sections, perform antigen retrieval using citrate buffer (pH 6.0) or EDTA buffer (pH 9.0)
Block endogenous peroxidase activity (for IHC) and non-specific binding
Apply primary antibody at optimized dilution (typically 1:100 to 1:500) and incubate at 4°C overnight
Use appropriate detection system based on host species of primary antibody
For protein extraction and Western blotting:
Extract proteins using RIPA buffer supplemented with protease inhibitors
Sonicate samples to ensure complete lysis of the cornified envelope structures
Centrifuge at high speed to remove insoluble material
Quantify protein concentration using BCA or Bradford assay
Denature proteins with reducing agent and heat prior to loading on SDS-PAGE gels
For ELISA:
Homogenize tissue samples in PBS with protease inhibitors
Centrifuge to remove debris
Dilute samples appropriately based on expected LCE3C concentration
Proper sample handling is critical as LCE proteins are components of highly cross-linked structures in the cornified envelope, which can affect extraction efficiency and antibody accessibility.
Distinguishing between different LCE3 family members presents a challenge due to their high sequence homology. Researchers can employ several strategies:
A combination of these approaches provides the most reliable method for distinguishing between closely related LCE3 family members.
Several molecular mechanisms have been proposed to explain how LCE3C deletion contributes to disease pathogenesis, particularly in psoriasis and potentially in rheumatoid arthritis:
Compromised epidermal barrier function: LCE3 proteins contribute to the structural integrity of the cornified envelope. Deletion of LCE3B and LCE3C may lead to impaired barrier formation, increasing susceptibility to environmental triggers and pathogens .
Altered antimicrobial defense: LCE3 proteins possess antibacterial properties against both gram-positive and gram-negative bacteria. Their deletion may compromise cutaneous antimicrobial defense, potentially triggering immune responses to skin microbiota .
Dysregulated wound healing: LCE3 proteins are involved in skin repair during inflammation. The absence of LCE3B and LCE3C might impair proper wound healing responses, contributing to chronic inflammation observed in psoriasis .
Enhanced antigen penetration: A defective epidermal barrier may facilitate the entry of environmental antigens, potentially triggering autoimmune responses in genetically susceptible individuals, which could explain the association with rheumatoid arthritis .
Genetic interaction with HLA risk alleles: Research suggests that LCE3C_LCE3B deletion may interact with HLA risk alleles, potentially amplifying disease susceptibility through synergistic effects on immune responses .
Evolutionary selection pressure: Higher nucleotide diversity in the LCE3BC haplotype block compared to neutral regions suggests potential balancing selection, indicating functional importance despite deletion frequency .
Understanding these mechanisms requires integrated approaches combining genetic association studies with functional analyses of barrier integrity, immune responses, and interaction with environmental factors.
Assessing the functional impact of LCE3C gene deletion requires multifaceted experimental approaches:
3D skin equivalents and organoid models:
Generate skin equivalents using keratinocytes from individuals with and without LCE3C_LCE3B deletion
Assess barrier function using transepidermal water loss measurements
Challenge models with microbial pathogens to evaluate antimicrobial defense
Induce wounding to study repair mechanisms
CRISPR/Cas9-engineered cellular models:
Create isogenic cell lines with and without LCE3C deletion
Compare differentiation capacity, barrier protein expression, and response to inflammatory stimuli
Perform transcriptomic analyses to identify downstream pathways affected by LCE3C deletion
Mouse models:
Develop knockout models for LCE3C or the entire LCE3 gene cluster
Characterize skin barrier function in basal conditions and after challenges
Induce psoriasis-like or arthritis-like conditions to assess disease susceptibility
Ex vivo skin explants:
Collect skin samples from donors with different LCE3C genotypes
Perform barrier function assays and immune challenge experiments
Measure cytokine responses and epidermal differentiation markers
Functional genomic approaches:
Conduct chromatin immunoprecipitation sequencing (ChIP-seq) to identify transcription factors affected by LCE3C deletion
Perform Assay for Transposase-Accessible Chromatin using sequencing (ATAC-seq) to assess chromatin accessibility changes
Use HiC or similar techniques to evaluate three-dimensional genomic interactions affected by the deletion
These complementary approaches provide a comprehensive understanding of how LCE3C deletion affects epidermal biology and disease susceptibility.
When interpreting contradictory findings in LCE3C deletion association studies, researchers should consider several methodological and biological factors:
Population heterogeneity: The LCE3C_LCE3B-del allele frequency varies significantly among different ethnic backgrounds. For instance, the deletion frequency is approximately 55% in Spanish and Chinese controls compared to 61% in Dutch controls . This heterogeneity may contribute to different association strengths across populations.
Statistical power considerations: Studies with insufficient sample sizes may fail to detect true associations. For example, a study powered to detect an odds ratio of 1.45 may be underpowered to detect a smaller effect size of 1.31, requiring approximately 1256 samples to achieve 80% power .
Disease heterogeneity: Different disease subtypes or endophenotypes may have variable associations with LCE3C deletion. Stratification by serological markers (e.g., anti-CCP and rheumatoid factor in RA) might reveal subgroup-specific associations .
Statistical model selection: The choice of genetic model (dominant, recessive, or additive) can affect results. For LCE3C_LCE3B-del, a recessive model has been found to best fit the data in psoriasis studies, which aligns with findings in rheumatoid arthritis research .
Environmental interactions: Gene-environment interactions may modify the effect of LCE3C deletion, potentially explaining discrepancies between studies conducted in different geographic regions or patient populations.
Methodological differences: Variations in genotyping techniques, quality control procedures, and statistical analysis methods can contribute to discrepant findings.
When confronted with contradictory results, researchers should consider meta-analysis approaches that combine data from multiple studies to increase statistical power and account for between-study heterogeneity .
Variability in LCE3C antibody staining patterns can arise from several technical and biological factors:
Technical factors:
Fixation method and duration: Overfixation can mask epitopes, while underfixation may result in tissue degradation
Antigen retrieval protocol: Buffer composition, pH, temperature, and duration affect epitope accessibility
Antibody concentration: Suboptimal dilution can lead to weak signals or high background
Incubation conditions: Temperature, duration, and buffer composition affect antibody binding kinetics
Detection system sensitivity: Various secondary antibodies and visualization reagents have different detection thresholds
Counterstaining intensity: Excessive counterstaining may mask specific signals
Biological factors:
Epidermal differentiation state: LCE3C expression is regulated during keratinocyte differentiation
Inflammatory status: Inflammation can alter LCE3 gene expression patterns
Genetic variations: LCE3C_LCE3B deletion or copy number variations affect expression levels
Tissue sampling location: Expression may vary across different body sites
Disease state: Pathological conditions can modify expression patterns
Age and sex differences: Demographic factors may influence epidermal differentiation
Antibody-specific factors:
Cross-reactivity with other LCE family members: Many antibodies recognize multiple LCE proteins, such as the pan-LCE3 antibody that detects LCE3B, LCE3D, and LCE3E
Lot-to-lot variability: Different production batches may have slight variations in specificity or sensitivity
Storage conditions: Improper storage can lead to antibody degradation and reduced performance
To minimize variability, researchers should standardize protocols, include appropriate controls, and thoroughly document all experimental conditions.
Single-cell approaches offer unprecedented resolution for understanding LCE3C expression patterns and function:
Single-cell RNA sequencing (scRNA-seq):
Reveals cell-specific expression patterns of LCE3C and related genes within heterogeneous skin tissue
Identifies co-expression networks and regulatory relationships
Tracks dynamic changes during epidermal differentiation and wound healing
Compares expression profiles between normal and disease states at single-cell resolution
Single-cell proteomics:
Detects LCE3C protein levels in individual cells to assess post-transcriptional regulation
Evaluates co-expression with other barrier proteins at the protein level
Measures variability in protein expression among seemingly identical cell populations
Spatial transcriptomics:
Maps LCE3C expression within the architectural context of skin layers
Identifies spatial relationships between LCE3C-expressing cells and other cell types
Compares spatial expression patterns between normal and diseased tissues
CyTOF and imaging mass cytometry:
Simultaneously measures multiple proteins in single cells
Preserves spatial information while providing single-cell resolution
Allows correlation of LCE3C expression with cellular activation states
Single-cell ATAC-seq:
Identifies cell-specific regulatory elements controlling LCE3C expression
Reveals heterogeneity in chromatin accessibility among epidermal cells
Tracks epigenetic changes associated with differentiation and disease
Single-cell multi-omics approaches:
Integrates transcriptomic, epigenomic, and proteomic data from the same cells
Provides comprehensive understanding of regulatory mechanisms controlling LCE3C expression
Identifies causal relationships between genetic variation, epigenetic state, and gene expression
These approaches will help resolve current contradictions in the literature and provide a more nuanced understanding of how LCE3C contributes to skin barrier function and disease pathogenesis.
Research on LCE3C has revealed several potential therapeutic implications for skin disorders and potentially autoimmune conditions:
Barrier enhancement strategies:
Development of topical formulations containing recombinant LCE3 proteins to compensate for genetic deficiencies
Small molecule enhancers of endogenous LCE expression to strengthen barrier function
Peptide mimetics that replicate the antimicrobial properties of LCE3 proteins
Gene therapy approaches:
CRISPR/Cas9-based correction of LCE3C deletion in keratinocyte stem cells
Viral vector delivery of LCE3C to affected skin areas
RNA therapeutics to modulate expression of remaining LCE family members to compensate for deletion
Personalized medicine applications:
Genotyping for LCE3C_LCE3B-del to stratify patients for targeted therapies
Combinatorial approaches targeting both LCE-related barrier defects and inflammatory pathways
Preventive interventions for high-risk individuals carrying the deletion
Diagnostic applications:
Development of immunohistochemical panels including anti-LCE3C antibodies for improved disease classification
Prognostic biomarkers based on LCE expression patterns in inflammatory skin conditions
Non-invasive diagnostic methods to assess barrier function related to LCE status
Drug delivery innovations:
Targeting drug delivery systems to overcome compromised barrier function in patients with LCE3C deficiency
LCE-based vehicles for enhanced transdermal delivery of therapeutic compounds
Future research should focus on translating the growing understanding of LCE biology into clinically applicable therapeutic approaches, particularly for patients with identified LCE3C_LCE3B deletions who may benefit from targeted barrier repair strategies.
Selecting appropriate research models is crucial for advancing our understanding of LCE3C function:
In vitro models:
Primary human keratinocyte cultures:
Allow study of LCE3C expression during differentiation
Can be derived from donors with different LCE3C genotypes
Enable manipulation of expression through transfection or viral transduction
Most physiologically relevant cell type for studying epidermal proteins
3D reconstructed human epidermis (RHE):
Recapitulates the stratified structure of human epidermis
Enables assessment of barrier function parameters
Allows for topical application of stimuli or therapeutic agents
Can incorporate keratinocytes with different LCE3C genotypes
Skin-on-chip models:
Integrate multiple skin cell types in a microfluidic environment
Allow for dynamic exposure to environmental factors
Enable real-time monitoring of barrier function
Facilitate high-throughput screening of compounds affecting LCE expression
In vivo models:
Genetically modified mouse models:
Knockout models for individual LCE genes or clusters
Humanized models expressing human LCE variants
Inducible models for temporal control of expression
Reporter models for visualization of expression patterns
Human skin explants:
Preserve native tissue architecture and cellular diversity
Allow for ex vivo manipulation and treatment
Can be obtained from patients with different LCE3C genotypes
Limited viability restricts long-term studies
Human skin xenografts in immunodeficient mice:
Maintain human skin characteristics in an in vivo environment
Allow for longer-term studies than explants
Enable testing of systemic treatments
Can utilize skin from patients with LCE3C deletions
Each model system offers distinct advantages, and researchers should select models based on their specific research questions, considering factors such as species differences in LCE gene organization, barrier properties, and immune responses.
Appropriate statistical approaches for analyzing LCE gene deletion association studies require careful consideration of genetic models, population structure, and multiple testing:
Researchers should clearly report their statistical methods, adjustments for confounders, and power calculations to facilitate comparison across studies and proper interpretation of results.