ABCA6 antibodies are immunological reagents designed to detect ABCA6, a 1,617 amino acid protein in the ATP-binding cassette (ABC) transporter family. These antibodies enable researchers to study ABCA6's expression, localization, and role in lipid metabolism and disease . ABCA6 is encoded by the ABCA6 gene (NCBI Gene ID: 23460) and is highly expressed in the liver, with significant presence in macrophages and endothelial cells .
ABCA6 antibodies are validated for multiple applications:
Antibodies from suppliers like Thermo Fisher (PA5-106611) and Proteintech (83084-4-RR) are widely used .
ABCA6 is regulated by FoxO transcription factors and responds to cholesterol loading and statins, implicating it in lipid transport .
In macrophages, ABCA6 upregulation during differentiation suggests a role in lipid homeostasis .
Ewing Sarcoma: High ABCA6 expression correlates with improved relapse-free survival (70.6% vs. 29.4% in low expressors) and enhances chemosensitivity via cholesterol-mediated inhibition of IGF1R/AKT/MDM2 signaling .
Therapeutic Potential: Statins (e.g., simvastatin) synergize with doxorubicin in ABCA6-low tumors, suggesting adjuvant therapy applications .
Enhanced Validation: Antibodies are tested via siRNA knockdown, GFP tagging, and independent antibody comparisons to ensure specificity .
Protein Arrays: Used to confirm minimal cross-reactivity with 384 unrelated antigens .
Tissue Staining: Consistent expression patterns in liver, lung, and macrophages align with RNA-seq data .
KEGG: ath:AT3G47770
ABCA6 (ATP Binding Cassette Subfamily A Member 6) is a membrane-associated protein belonging to the superfamily of ATP-binding cassette (ABC) transporters. These proteins transport various molecules across extra- and intracellular membranes. ABCA6 specifically belongs to the ABC1 subfamily, which is found exclusively in multicellular eukaryotes. The gene is clustered among four other ABC1 family members on chromosome 17q24 and may play a significant role in macrophage lipid homeostasis .
Research significance stems from ABCA6's involvement in:
Cellular cholesterol transport and metabolism
Potential tumor suppressor activity in certain cancers
Association with favorable outcomes in Ewing sarcoma patients when highly expressed
Potential therapeutic target in cancer treatment strategies
ABCA6 is widely expressed in human tissues, with particularly high expression observed in the liver .
Based on validated antibody products, ABCA6 can be effectively detected using several techniques:
Application | Dilution Range | Notes |
---|---|---|
Western Blot (WB) | Optimal dilution to be determined by end user | Detects denatured ABCA6 protein (≈184-185 kDa) |
Immunofluorescence/Immunocytochemistry (IF/ICC) | Optimal dilution to be determined by end user | Allows visualization of cellular localization |
Immunohistochemistry (IHC) | 1:30-1:150 | Verified with human tonsil samples |
For optimal results, researchers should:
Always perform antibody validation with positive and negative controls
Optimize antibody concentrations for specific experimental conditions
Select the appropriate application based on research question (protein expression levels vs. localization studies)
ABCA6 expression varies significantly across tissues, with liver showing particularly high expression. When interpreting expression patterns, researchers should consider:
Baseline variations: Compare experimental samples against appropriate tissue-matched controls
Subcellular localization: ABCA6 is primarily membrane-localized, so proper fractionation techniques are essential
Expression context: Recent findings show ABCA6 is expressed at lower levels in Ewing sarcoma compared to other pediatric tumors, particularly lymphoma/leukemia
Prognostic significance: Higher ABCA6 expression correlates with better outcomes in some cancers, so expression levels should be analyzed in context of clinical parameters
For reproducible interpretation, standardized quantification methods such as RT-qPCR with appropriate reference genes or calibrated immunoblotting should be employed .
ABCA6 antibody validation requires rigorous controls to ensure specific detection:
Positive and negative controls:
Use tissues/cells known to express ABCA6 (e.g., liver samples)
Include ABCA6-knockout or silenced cells as negative controls
Compare results with multiple antibodies targeting different epitopes
Cross-reactivity assessment:
Validation across multiple techniques:
Confirm specificity in both denaturing (WB) and non-denaturing (IHC/IF) conditions
Verify band size matches predicted molecular weight (184-185 kDa)
Perform peptide competition assays with immunizing peptide
Genetic validation:
Compare antibody signal in ABCA6 overexpression and knockdown models
Verify reduction in signal following siRNA/shRNA treatment
Sample preparation varies by application and should be optimized for ABCA6's membrane localization:
For Western Blot:
Use membrane-enriched fractionation to improve detection
Include protease inhibitors to prevent degradation
Avoid excessive heating of samples (≤70°C for 5 minutes)
Use appropriate reducing agents and detergents (e.g., NP-40 or Triton X-100)
Load adequate protein amount (typically 20-50 μg total protein)
For Immunohistochemistry:
Optimize fixation (4% paraformaldehyde often preserves membrane epitopes)
Consider antigen retrieval methods (heat-induced epitope retrieval)
Block adequately to reduce background
Consider signal amplification for low-expression tissues
For Immunofluorescence:
Ensure cell permeabilization is optimized for membrane protein access
Use counterstains to verify membrane localization
Include co-localization markers for confirmatory studies
Consider mild fixation protocols to preserve antigenicity
For mechanistic studies, efficient modulation of ABCA6 expression is critical:
Overexpression approaches:
Transfect cells with expression vector pCMV6-AC-GFP containing full-length hABCA6
Use appropriate control transfections (empty vector and non-transfected cells)
Verify expression by Western blot and/or qPCR
Silencing approaches:
Transfect cells with lentiviral pLKO.1 expression vector containing shRNAs against human ABCA6
Design multiple shRNA sequences targeting different regions
Validate knockdown efficiency at mRNA and protein levels
Consider CRISPR-Cas9 system for complete knockout in relevant models
Considerations for both approaches:
Select appropriate cell models (considering baseline ABCA6 expression)
Optimize transfection conditions for each cell type
Monitor effects on cell viability, as ABCA6 modulation may affect lipid homeostasis
Include appropriate controls for vector effects
Recent research reveals significant roles for ABCA6 in cancer biology:
Prognostic biomarker potential: High ABCA6 expression is associated with favorable outcomes in Ewing sarcoma (EWS) patients. In a validation cohort of 78 primary localized EWS samples:
Mechanisms of tumor suppression:
Potential therapeutic implications:
Researchers studying ABCA6 in cancer should incorporate survival analyses, cholesterol metabolism assays, and chemosensitivity testing in their experimental designs.
ABCA6's involvement in cholesterol homeostasis requires specialized methodologies:
Cellular cholesterol quantification:
Enzymatic assays (Amplex Red Cholesterol Assay)
Fluorescent cholesterol analogs for live imaging
Mass spectrometry for detailed lipid profiling
Filipin staining for free cholesterol visualization
Cholesterol transport assays:
Radiolabeled cholesterol efflux assays
Fluorescently labeled cholesterol tracking
Membrane microdomain isolation and analysis
Pathway analysis:
Assess effects on key cholesterol regulatory pathways (SREBP, LXR)
Monitor expression of other cholesterol transporters
Analyze changes in cholesterol-rich membrane domains
Functional consequences:
Intervention studies:
Cholesterol depletion (e.g., methyl-β-cyclodextrin)
Cholesterol supplementation experiments
Statin treatment to mimic ABCA6 activity
Contradictory findings on ABCA6 function may arise from several factors. Researchers should:
Consider tissue-specific effects:
ABCA6 expression varies significantly between tissues
Function may differ based on cellular context
Use tissue-appropriate models for specific research questions
Evaluate experimental model limitations:
Cell lines vs. primary cells vs. in vivo models
Acute vs. chronic ABCA6 modulation
Overexpression artifacts vs. physiological expression
Species differences in ABCA6 function
Standardize experimental conditions:
Control for cholesterol content in culture media
Monitor cell density and passage number
Standardize timepoints for analysis
Employ multiple complementary approaches:
Combine genetic modulation with pharmacological interventions
Use both gain-of-function and loss-of-function approaches
Validate findings across multiple cell types
Analyze specific domains and variants:
Consider alternative splicing or post-translational modifications
Investigate specific functional domains using truncation mutants
Assess effects of naturally occurring variants
Cutting-edge approaches for ABCA6 research include:
Single-cell technologies:
Single-cell RNA-seq to identify cell populations with differential ABCA6 expression
Single-cell proteomics for protein-level analysis
Spatial transcriptomics to map ABCA6 expression in tissue contexts
Advanced imaging approaches:
Super-resolution microscopy for detailed localization studies
Live-cell imaging with fluorescently tagged ABCA6
FRET/BRET studies to investigate protein-protein interactions
Structural biology techniques:
Cryo-EM for structural determination of ABCA6
Molecular dynamics simulations for transport mechanisms
Structure-guided design of specific modulators
High-throughput screening platforms:
CRISPR screens to identify ABCA6 regulators or effectors
Small molecule screens for ABCA6 activity modulators
Functional genomics approaches to map ABCA6 networks
Patient-derived models:
Patient-derived xenografts (PDX) for translational studies
Organoid cultures expressing variable ABCA6 levels
CRISPR-engineered isogenic cell lines with ABCA6 variants
Clinical sample analysis requires robust methods:
RNA expression analysis:
RT-qPCR with validated reference genes
RNA-seq for comprehensive transcriptomic profiling
In situ hybridization for spatial resolution in tissues
NanoString technology for degraded clinical samples
Protein detection strategies:
Biomarker development considerations:
Define clear cutoff values for high vs. low expression
Validate across multiple cohorts using consistent methodologies
Perform multivariate analyses controlling for clinical variables
Consider combining with other biomarkers for improved prediction
Technical validation requirements:
Use multiple antibodies or detection methods
Include appropriate positive and negative controls
Standardize scoring systems for consistent interpretation
Consider heterogeneity in tissue samples
Current hypotheses about ABCA6 regulation include:
Transcriptional regulation:
Potential involvement of nuclear receptors (LXR, PPAR)
Epigenetic regulation through methylation/acetylation
Tissue-specific transcription factors
Response to cellular cholesterol status
Post-transcriptional control:
miRNA-mediated regulation
mRNA stability factors
Alternative splicing generating functional variants
RNA-binding protein interactions
Post-translational regulation:
Phosphorylation affecting transport activity
Ubiquitination controlling protein turnover
Glycosylation influencing membrane localization
Protein-protein interactions modulating function
Disease-specific alterations:
Therapeutic targeting potential:
Statins as indirect ABCA6 functional mimetics
Potential for direct ABCA6 activators
Combination approaches with chemotherapeutics
Targeted delivery to increase tissue-specific expression
ABCA6 detection can be challenging due to its membrane localization and potentially low expression. Consider these troubleshooting strategies:
For weak Western blot signals:
Enrich membrane fractions to concentrate the protein
Optimize lysis buffers for membrane proteins (e.g., RIPA with 0.1% SDS)
Increase protein loading (50-100 μg)
Use signal enhancement systems (ECL Plus/Advanced)
Transfer to PVDF rather than nitrocellulose for better protein retention
For IHC/IF background issues:
Lengthen blocking steps (2-3 hours or overnight)
Use alternative blocking reagents (5% BSA, commercial blockers)
Increase washing steps and duration
Reduce primary antibody concentration
Include detergent (0.1-0.3% Triton X-100) in washing buffers
For inconsistent results:
Standardize sample collection and processing
Maintain consistent freeze-thaw cycles
Use freshly prepared reagents
Implement positive controls in every experiment
Consider lot-to-lot variations in antibodies
For specificity concerns:
Validate with multiple antibodies targeting different epitopes
Include ABCA6 overexpression and knockdown controls
Perform peptide competition assays
Consider alternative detection methods (e.g., MS-based approaches)
Robust ABCA6 functional studies require comprehensive controls:
Expression modulation controls:
Empty vector controls for overexpression studies
Non-targeting shRNA/siRNA for knockdown experiments
Validation of expression changes at both mRNA and protein levels
Rescue experiments to confirm specificity of observed phenotypes
Functional assay controls:
Positive controls with known modulators of cholesterol transport
Time-course experiments to capture dynamic processes
Dose-response studies for pharmacological interventions
Parallel assessment of related ABC transporters (especially ABCA8)
Pathway analysis controls:
Direct manipulation of downstream pathways (e.g., AKT inhibitors)
Cholesterol depletion and supplementation experiments
Inhibitors of related processes (endocytosis, vesicle trafficking)
Genetic validation of proposed mechanistic pathways
Technical controls:
Multiple cell lines with varying baseline ABCA6 expression
Internal controls for normalization
Replication across independent experiments
Alternative methodologies to confirm key findings
Interpreting ABCA6 expression's clinical relevance requires careful consideration:
Statistical analysis guidelines:
Define clear cutoff values for expression categories
Use appropriate statistical tests for outcome associations
Perform multivariate analyses to control for confounding factors
Calculate hazard ratios with confidence intervals for survival data
Cohort considerations:
Ensure adequate sample size for statistical power
Account for heterogeneity in patient populations
Consider treatment variations between patients
Validate findings across independent cohorts
Expression analysis methods:
Standardize quantification methods across samples
Consider both mRNA and protein expression
Evaluate categorical (high/low) vs. continuous expression values
Account for tumor heterogeneity in sampling
Interpretation frameworks:
Assess ABCA6 in context of known prognostic factors
Consider tissue-specific roles and expression patterns
Evaluate potential as predictive vs. prognostic biomarker
Relate findings to biological mechanisms (e.g., cholesterol regulation)
Translation to clinical utility:
Determine optimal testing methodology for clinical implementation
Establish standardized scoring systems
Evaluate cost-effectiveness of testing
Consider potential therapeutic implications of expression status