The CYP27A1 Antibody is a research reagent designed to detect the enzyme CYP27A1 (sterol 27-hydroxylase), a mitochondrial cytochrome P450 oxidase. This enzyme catalyzes the 27-hydroxylation of cholesterol, a critical step in bile acid biosynthesis and sterol metabolism. The antibody is widely used in molecular biology to study CYP27A1 expression in tissues, its role in disease pathogenesis, and its therapeutic potential .
CYP27A1 Antibody is employed across diverse research fields:
Cancer Biology: Investigates CYP27A1’s role in estrogen receptor-positive (ER+) breast cancer, where high expression correlates with improved prognosis .
Atherosclerosis: Studies macrophage-specific CYP27A1 activity, which may protect against cholesterol accumulation and plaque formation .
Genetic Disorders: Detects mutations linked to cerebrotendinous xanthomatosis (CTX) and vitamin D deficiency .
Pregnancy: Analyzes placental expression in preeclampsia, where it modulates cholesterol efflux .
| Assay Type | Key Details |
|---|---|
| Western Blotting | Detects mitochondrial CYP27A1 in lysates (e.g., liver, placenta) . |
| Immunohistochemistry | Localizes CYP27A1 in tissue sections (e.g., tumor biopsy samples) . |
Mutations in CYP27A1 cause CTX, characterized by bile acid defects and 25-hydroxyvitamin D deficiency. Antibody-based studies reveal that certain mutants (e.g., K226R, D321G) retain partial enzymatic activity but still impair cholesterol metabolism .
Therapeutic Targeting: Inhibitors of CYP27A1 (e.g., anastrozole, posaconazole) are explored for ER+ breast cancer treatment .
Biomarker Potential: Elevated CYP27A1 expression in tumors may guide personalized therapies for early-stage breast cancer .
Diagnostic Utility: Detects CTX-associated mutations and monitors bile acid metabolism in metabolic disorders .
CYP27A1 is a mitochondrial P-450 enzyme with broad substrate specificity for C27 sterols, including cholesterol and 7-ketocholesterol. The enzyme plays a crucial role in cholesterol metabolism and bile acid synthesis, catalyzing the conversion of cholesterol to bile acids, thereby regulating cholesterol homeostasis. CYP27A1 is particularly important in research because mutations in this gene cause cerebrotendinous xanthomatosis, a rare autosomal recessive lipid storage disease . Additionally, CYP27A1 expression levels have been correlated with prognosis in certain cancers, making it a valuable research target in oncology . Its broad tissue distribution and role in modifying the biological activity of oxidized sterols also make it relevant for research in ophthalmology, neurology, and metabolism.
Commercial CYP27A1 antibodies are available in multiple formats to accommodate diverse experimental requirements. The most widely used is the mouse monoclonal IgG2a kappa light chain antibody (such as CYP27A1 Antibody G-2) that detects CYP27A1 of mouse, rat, and human origin . These antibodies come in:
Non-conjugated form for standard applications
Conjugated formats including:
Agarose conjugates for immunoprecipitation
Horseradish peroxidase (HRP) conjugates for enhanced western blotting sensitivity
Fluorescent conjugates including phycoerythrin (PE), fluorescein isothiocyanate (FITC), and multiple Alexa Fluor® variants for immunofluorescence and flow cytometry applications
The choice depends on the specific experimental methodology, with consideration for detection method, signal amplification requirements, and multiplexing needs.
Validating antibody specificity is a critical step in ensuring reliable research outcomes. For CYP27A1 antibodies, a comprehensive validation approach includes:
Positive controls: Use tissues or cell lines known to express CYP27A1 (e.g., liver tissue, ARPE19 cells which show a single band at 47 kDa)
Knockout/knockdown validation: Compare antibody reactivity in wild-type cells versus CYP27A1 knockout (generated via CRISPR/Cas9) or knockdown (via siRNA) cells
Multiple detection methods: Confirm specificity across different techniques (western blot, immunofluorescence, ELISA) to ensure consistent results
Cross-reactivity assessment: Test against related cytochrome P450 family members to ensure specificity
Peptide competition: Pre-incubate the antibody with a specific blocking peptide to confirm signal suppression
Comparison with mRNA expression: Correlate protein detection with mRNA levels using techniques like RNAscope to verify concordance (noting that intratumoral concordance between protein and mRNA has been observed at approximately 77.7%)
Western blotting with CYP27A1 antibodies requires optimized conditions to detect the approximately 47 kDa protein. Based on published protocols:
Sample preparation:
For tissue samples, mitochondrial enrichment improves detection since CYP27A1 is primarily localized to mitochondria
Cell fractionation may reveal different expression patterns (e.g., in neural retina, CYP27A1 appears as a high molecular weight smear in soluble fractions, while in RPE/choroid fractions it appears as a dimer)
Antibody dilutions:
Visualization systems:
Enhanced chemiluminescence (ECL) works well for standard applications
For stronger signal amplification, consider using signal enhancers or directly conjugated HRP antibodies
Controls:
Include both positive controls (liver tissue) and negative controls (CYP27A1 knockout cells if available)
β-actin or other housekeeping proteins are essential for normalization
Effective immunolocalization of CYP27A1 requires careful consideration of fixation, antigen retrieval, and detection methods:
Tissue preparation:
Antibody protocol:
Imaging:
Confocal microscopy provides superior resolution for subcellular localization
Z-stack imaging helps confirm mitochondrial localization patterns
Expected patterns:
CYP27A1 antibodies can elucidate protein interaction networks through several methodologies:
Co-immunoprecipitation (Co-IP):
Use agarose-conjugated CYP27A1 antibodies (e.g., sc-390974 AC) to pull down CYP27A1 and associated proteins
Identify binding partners through mass spectrometry or western blotting
Verify interactions through reverse Co-IP (using antibodies against putative binding partners)
Proximity ligation assay (PLA):
Detects protein interactions in situ with single-molecule sensitivity
Requires specific primary antibodies against both CYP27A1 and potential interacting proteins
Provides spatial information about interaction sites within cells
Chromatin immunoprecipitation (ChIP):
For studying CYP27A1's potential interactions with DNA or chromatin-associated proteins
Typically requires cross-linking followed by immunoprecipitation with specific antibodies
Bimolecular fluorescence complementation (BiFC):
Fusion proteins containing CYP27A1 and potential partners linked to complementary fragments of fluorescent proteins
Interaction reconstitutes fluorescence, visualizable by microscopy
These approaches have revealed interactions between CYP27A1 and mitochondrial proteins, potentially explaining its role in compound sensitivity mechanisms observed in cancer cells .
CYP27A1 displays distinct tissue-specific expression patterns that require tailored detection approaches:
| Tissue/Cell Type | Expression Level | Localization | Recommended Detection Method |
|---|---|---|---|
| Liver | High | Mitochondria | IHC, WB, IF |
| Kidney | High | Mitochondria | IHC, WB, IF |
| Retina | Moderate | Photoreceptor inner segments, Müller cells | IF (confocal), IHC |
| RPE/Choroid | Low | Diffuse | IF (confocal) with signal amplification |
| Breast Tissue | Variable (prognostic) | Cellular | IHC, RNAscope for mRNA |
| Melanoma cells | Variable (predictive of drug response) | Mitochondria | WB, qPCR |
For tissues with low expression, more sensitive detection methods are recommended:
RNAscope for mRNA detection with cellular resolution
Signal amplification systems for protein detection
Tyramide signal amplification (TSA) for immunohistochemistry
Mass spectrometry-based proteomics for absolute quantification
The relationship between CYP27A1 mRNA and protein expression shows moderate but imperfect correlation, with important research implications:
Concordance levels:
Studies in breast cancer tissue have shown approximately 77.7% intratumoral concordance (r = 0.43) between CYP27A1 protein and mRNA expression
62.7% of tumors showed concordant low expression
15% showed concordant high expression
8.3% had low protein/high mRNA expression
Prognostic significance:
Combined high CYP27A1 mRNA and protein expression (mRNA+/protein+) was significantly associated with longer survival compared to double negative expression
mRNA expression alone (mRNA+/protein−) showed similar but weaker statistical significance
Protein expression alone (mRNA−/protein+) trended toward longer event-free survival but without statistical significance
Research recommendations:
Assess both mRNA (by qPCR or RNAscope) and protein (by IHC or western blot) when possible
Consider post-transcriptional regulation mechanisms when interpreting discordant results
For prognostic studies, combined assessment provides the most robust predictive value
Comprehensive analysis of CYP27A1 function requires combining antibody detection with enzymatic activity measurements:
Enzyme activity assays:
Structure-function experimental design:
Pharmacological inhibition:
In situ activity measurement:
Combine immunofluorescence with fluorescent substrate analogs
Use mitotracker dyes to confirm mitochondrial localization
Correlate localization with enzymatic function
CYP27A1 antibodies have proven valuable in cancer research, particularly for prognostic assessment:
Immunohistochemical analysis in tumor samples:
Standard IHC protocols with anti-CYP27A1 antibodies provide prognostic information
Inter-reader agreement for dichotomized CYP27A1 expression scoring is high (kappa = 0.93 for IHC)
Correlation with clinicopathological features reveals that high CYP27A1 expression is associated with:
Prognostic assessment workflow:
Cancer type-specific considerations:
In breast cancer: High CYP27A1 expression is a favorable prognostic marker in premenopausal patients with lymph node-negative disease
In ER+ tumors: Hazard ratio for high CYP27A1 protein expression is 0.20 (95% CI: 0.06-0.8), indicating strong protective effect
In ER- tumors: No significant prognostic impact (HR: 1.04, 95% CI: 0.36-3.00)
Resolving contradictions in CYP27A1 research requires rigorous methodological approaches:
Standardization of detection methods:
Multi-cohort validation:
Test hypotheses across multiple independent patient cohorts
Stratify by relevant clinical variables (age, hormone receptor status, etc.)
Perform meta-analyses when appropriate
Mechanistic studies to explain contradictions:
Investigate context-dependent functions of CYP27A1
Consider the impact of substrate availability in different tissues
Examine the effects of different metabolites produced by CYP27A1 in different cellular contexts
Integrated multi-omics approach:
Combine protein, mRNA, metabolite, and clinical data
Use machine learning to identify patterns that may explain contradictory findings
Develop predictive models that incorporate multiple biomarkers
CYP27A1 antibodies serve as crucial tools in pharmacological research:
Correlation with drug sensitivity:
Mechanistic validation through genetic approaches:
Prediction of drug response:
Develop IHC-based scoring systems to predict patient response to therapies
Create decision trees incorporating CYP27A1 expression with other biomarkers
Validate in clinical sample sets with known treatment outcomes
Target engagement studies:
Use competitive binding assays between drugs and antibodies
Perform drug affinity responsive target stability (DARTS) assays with antibody detection
Employ cellular thermal shift assays (CETSA) followed by western blotting with CYP27A1 antibodies
Multiplexed imaging techniques enhance our understanding of CYP27A1's role in cellular processes:
Multiplex immunofluorescence approaches:
Combine CYP27A1 antibodies with markers for organelles (particularly mitochondria)
Use spectral unmixing to resolve closely related fluorophores
Apply cyclic immunofluorescence for high-parameter imaging (>10 markers)
Employ CODEX or other spatial proteomics platforms for comprehensive analysis
Co-localization analysis methodologies:
Calculate Mander's overlap coefficient or Pearson's correlation for quantitative assessment
Use super-resolution microscopy (STORM, PALM, STED) to resolve sub-mitochondrial localization
Perform live-cell imaging with fluorescently tagged CYP27A1 to track dynamic interactions
Spatial context assessment:
Different antibody types present distinct advantages and challenges for CYP27A1 research:
Monoclonal antibodies (e.g., CYP27A1 Antibody G-2):
Advantages: Consistent specificity across batches, reduced background, superior for quantitative applications
Challenges: May recognize limited epitopes, potentially affected by post-translational modifications, sometimes less sensitive
Validation requirements: Epitope mapping, cross-reactivity testing, knockout validation
Best applications: Quantitative western blotting, standardized immunohistochemistry, flow cytometry
Polyclonal antibodies:
Advantages: Recognize multiple epitopes, potentially more robust to protein denaturation, often higher sensitivity
Challenges: Batch-to-batch variability, potential for cross-reactivity, higher background
Validation requirements: Extensive specificity testing across applications, pre-absorption controls
Best applications: Immunoprecipitation, detection of low-abundance targets, certain immunofluorescence applications
Application-specific considerations:
For quantitative studies: Monoclonal antibodies provide more reliable measurements
For detection of modified CYP27A1: Epitope-specific antibodies may be required
For evolutionary studies across species: Consider epitope conservation when selecting antibodies
Integration of CYP27A1 antibodies with proteomics offers powerful biomarker discovery capabilities:
Immunoprecipitation coupled to mass spectrometry (IP-MS):
Enrich CYP27A1 and interacting proteins using specific antibodies
Identify novel binding partners through unbiased MS analysis
Compare interaction networks between normal and disease states
Validate findings with targeted approaches (Co-IP, PLA)
Antibody-based enrichment for post-translational modification analysis:
Immunoprecipitate CYP27A1 followed by MS analysis of modifications
Identify regulatory PTMs that might affect enzymatic activity
Develop modification-specific antibodies for high-throughput screening
Reverse phase protein arrays (RPPA):
Activity-based protein profiling: