EPHX1 Human Recombinant produced in E.coli is a single, non-glycosylated polypeptide chain containing 451 amino acids (21-455a.a) and having a molecular mass of 52.2kDa.
EPHX1 is fused to a 16 amino acid T7-tag at N-terminus & purified by proprietary chromatographic techniques.
Human EPHX1 is located on chromosome 1 (1q42.12), spans approximately 35 kb, and consists of nine exons . The gene encodes three transcription variants that differ in the 5'-untranslated region, while each translated protein product contains 455 amino acids . The complex regulation of EPHX1 expression involves alternative promoters - the proximal E1 promoter driving liver expression, and the alternative E1-b promoter controlling expression in other tissues . An additional novel human EPHX1 transcript (E1-b′) has been identified with highest expression in human ovary, suggesting a potential transcription-independent regulatory role .
EPHX1 expression is regulated by a diverse array of transcription factors binding to specific regulatory sequences. Key transcriptional regulators include:
Transcription Factor | Role in EPHX1 Regulation | OMIM Number |
---|---|---|
GATA4 | Major activator | 600576 |
HNF3 (FOXA1, FOXB1) | Co-repressor in HepG2 cells | 602294, 600288 |
CEBPA | Interacts with DNA-bound NFY | 116897 |
NFY (A, B, C subunits) | Regulator of EPHX1 expression | 189903, 189904, 605344 |
HNF4A, CAR (NR1I3), RXR | Bind to proximal EPHX1 promoter | 600281, 603881, 180245/180246 |
Additionally, hormonal regulation has been observed, with insulin positively and glucagon negatively regulating EPHX1 expression in rat hepatocytes, while progesterone regulates EPHX1 expression in the endometrium during the menstrual cycle .
EPHX1 shows tissue-specific, age-specific, and sex-specific expression patterns with high inter-individual variation among humans . The highest EPHX1 transcript and protein levels are found in human liver and skin . EPHX1 transcripts have been detected in human primary bronchial epithelial cells but not in alveolar macrophages . Strong to moderate immunohistochemical EPHX1 protein staining has been observed in synovial blood vessels and lining cells . The topology of EPHX1 on the cell surface varies considerably between different cell types, which may have important functional implications for substrate accessibility and metabolism .
The human EPHX1 protein exhibits polymorphism primarily at two amino acid positions: Y113H (tyrosine to histidine at position 113) and H139R (histidine to arginine at position 139) . These substitutions result in four possible allelic variants: Y113/H139 (reference protein), H113/H139, Y113/R139, and H113/R139 . While additional non-synonymous SNPs have been identified, the Y113H and H139R variants remain the most common in human populations . Currently, there are 142 EPHX1 gene variations listed in the National Cancer Institute dbSNP database, including 18 copy number variations and 4 SNPs with potential clinical significance .
The functional impact of EPHX1 polymorphisms has been investigated using both purified protein preparations and human liver microsomes:
EPHX1 Variant | Relative Activity with cSO/BaPO (Purified Protein) | Activity in Human Liver Microsomes |
---|---|---|
Y113/H139 (reference) | ~2-fold greater than other variants | No major differences between genotypes |
H113/H139 | Reduced compared to reference | No major differences between genotypes |
Y113/R139 | Reduced compared to reference | No major differences between genotypes |
H113/R139 | Reduced compared to reference | Not specifically measured |
For investigating EPHX1 polymorphisms and their functional consequences, researchers can employ the following methodological approaches:
Genotyping methods:
PCR-RFLP (Polymerase Chain Reaction-Restriction Fragment Length Polymorphism)
Real-time PCR with allele-specific probes
Sanger sequencing or next-generation sequencing
Functional analysis methods:
Expression of recombinant EPHX1 variants in heterologous systems (e.g., baculovirus-infected Sf9 cells)
Purification by column chromatography for in vitro enzymatic assays
Analysis of human liver microsomes from individuals with known EPHX1 genotypes
Western immunoblot analysis to determine specific EPHX1 content in samples
Substrate specificity assessment:
EPHX1 plays a dual role in cancer development through its ability to both detoxify and bioactivate carcinogenic compounds:
Detoxification: EPHX1 typically converts epoxides to trans-dihydrodiols, which are generally less reactive and more water-soluble, facilitating excretion .
Bioactivation: In certain instances, the initial trans-dihydrodiol metabolites can be further activated by subsequent P450 catalysis to form highly electrophilic and reactive dihydrodiol-epoxides that can form covalent adducts with DNA in a stereoselective manner .
Epidemiological studies have investigated associations between EPHX1 polymorphisms and cancer risk with varying results:
Hepatocellular carcinoma (HCC): Initially associated with the EPHX1 H113 allele in a Chinese population, particularly relevant given EPHX1's role in aflatoxin B1 metabolism, but subsequent studies showed conflicting results .
Other cancers: EPHX1 polymorphisms have been variously associated with colorectal polyp formation, lung cancer, orolaryngeal cancer, and sensitivity to 1,3-butadiene .
These contradictory findings may result from differences in study populations, environmental exposures, or interactions with other genetic polymorphisms that collectively influence cancer risk.
Mutations and polymorphisms in EPHX1 have been linked to several hereditary disorders:
Disorder | OMIM Number | Association with EPHX1 |
---|---|---|
Preeclampsia | 189800 | EPHX1 mutations may contribute to development |
Hypercholanemia | 607748 | EPHX1 mutations may cause this disorder |
Fetal hydantoin syndrome | - | EPHX1 is suspected to contribute |
Craniofacial abnormalities | - | Two maternally transmitted EPHX1 SNPs (rs1051740 and rs2234922) associated with risk in children of women taking phenytoin during pregnancy |
The mechanisms by which EPHX1 variants contribute to these disorders likely involve altered metabolism of endogenous or exogenous substrates that affect specific physiological processes .
Researchers investigating EPHX1-disease associations face several methodological challenges:
Expression variability: High inter-individual variation in EPHX1 expression may confound genotype-phenotype correlations .
Tissue specificity: EPHX1 shows tissue-specific, age-specific, and sex-specific expression patterns, necessitating careful study design and tissue selection .
Functional complexity: The dual role of EPHX1 in both detoxification and bioactivation makes it difficult to predict the net effect of polymorphisms on disease risk .
In vitro vs. in vivo correlation: Limited correlation between in vitro enzymatic activities and in vivo function, as demonstrated by differences between purified proteins and human liver microsomes .
Study design considerations:
Need for large, well-characterized study populations
Importance of controlling for environmental exposures
Consideration of gene-gene interactions with other biotransformation enzymes
The complex regulation of EPHX1 gene expression can be studied using the following experimental approaches:
Promoter analysis:
Transcription factor binding:
Chromatin immunoprecipitation (ChIP) to detect binding of transcription factors (GATA4, HNF3, CEBPA, NFY, HNF4A, CAR, RXR) to the EPHX1 promoter
Electrophoretic mobility shift assays (EMSA) to confirm protein-DNA interactions
Co-immunoprecipitation to study protein-protein interactions among transcription factors
Post-transcriptional regulation:
Tissue-specific expression:
For measuring EPHX1 enzymatic activity in research settings, the following methodological approaches are recommended:
Protein expression systems:
Enzyme sources:
Activity assays:
Normalization methods:
Experimental controls:
Inclusion of positive and negative controls
Use of specific EPHX1 inhibitors to confirm enzyme specificity
Comparative analysis of different EPHX1 variants under identical conditions
The functional role of EPHX1 in xenobiotic metabolism often involves interactions with other biotransformation enzymes, particularly cytochrome P450s. To study these interactions, researchers can employ:
Co-expression systems:
Co-expression of EPHX1 with relevant P450 enzymes in cellular models
Sequential metabolism studies using purified enzymes
Microsomes containing both EPHX1 and P450 enzymes
Metabolic pathway analysis:
Metabolite profiling using LC-MS/MS
Tracking formation of intermediates and final metabolites
Inhibitor studies to block specific steps in the biotransformation pathway
Genetic association studies:
Analysis of combined genotypes (EPHX1 plus other biotransformation enzymes)
Haplotype analysis across multiple genes
Gene-gene interaction modeling in epidemiological studies
Structural biology approaches:
Protein-protein interaction studies
Molecular modeling of enzyme complexes
Investigation of membrane co-localization of biotransformation enzymes
Systems biology approaches:
Pathway-based analysis of xenobiotic metabolism
Integration of transcriptomic, proteomic, and metabolomic data
Mathematical modeling of multi-enzyme metabolic networks
While EPHX1 is primarily known for its role in xenobiotic metabolism, several emerging research directions extend beyond this traditional focus:
Endogenous substrate metabolism:
Identification of endogenous epoxide-containing lipids as EPHX1 substrates
Role in signaling lipid metabolism and regulation
Potential impact on inflammatory pathways and immune regulation
Developmental biology:
Investigation of EPHX1's role in embryonic development
Mechanisms underlying the association with craniofacial abnormalities in fetal hydantoin syndrome
Potential interactions with developmental signaling pathways
Cell biology:
Precision medicine applications:
Development of EPHX1 genotyping panels for personalized drug therapy
Prediction of individual susceptibility to environmental toxicants
EPHX1-based biomarkers for disease risk assessment
The literature contains numerous contradictory findings regarding associations between EPHX1 polymorphisms and disease risk. To reconcile these contradictions, researchers should consider:
Meta-analysis approaches:
Systematic reviews combining data from multiple studies
Stratification by ethnicity, exposure, and other relevant factors
Assessment of publication bias and study quality
Gene-environment interaction analysis:
Evaluation of specific environmental exposures that may modify the effect of EPHX1 variants
Investigation of dose-response relationships
Consideration of timing and duration of exposures
Advanced genetic approaches:
Whole gene sequencing rather than focusing solely on common polymorphisms
Haplotype analysis to capture combined effects of multiple variants
Epigenetic studies to assess EPHX1 regulation beyond genetic sequence
Functional validation:
Correlation of epidemiological findings with functional assays
Development of more physiologically relevant in vitro models
Use of humanized animal models expressing human EPHX1 variants
Several emerging technologies and methodological advances are likely to significantly impact EPHX1 research:
CRISPR-Cas9 genome editing:
Creation of precise EPHX1 variants in cell lines and animal models
Generation of conditional and tissue-specific EPHX1 knockout models
High-throughput screening of EPHX1 regulatory elements
Single-cell technologies:
Single-cell RNA sequencing to characterize cell-type-specific EPHX1 expression patterns
Single-cell proteomics to assess EPHX1 protein levels and modifications
Spatial transcriptomics to map EPHX1 expression within tissue architecture
Structural biology advances:
Cryo-electron microscopy for high-resolution EPHX1 structure determination
Molecular dynamics simulations to understand polymorphism effects on protein function
Structure-based drug design for EPHX1 modulators
Artificial intelligence and machine learning:
Prediction of EPHX1 substrate specificity and activity
Integration of multi-omics data to understand EPHX1 function in complex systems
Development of models to predict individual response to xenobiotics based on EPHX1 genotype
Organoid and microphysiological systems:
3D organoid models to study EPHX1 function in tissue-specific contexts
Liver-on-a-chip and other organ models to assess EPHX1-mediated metabolism
Multi-tissue microphysiological systems to study systemic effects of EPHX1 activity
Epoxide Hydrolase 1 (EH1), also known as microsomal epoxide hydrolase (mEH) or EPHX1, is an enzyme that plays a crucial role in the metabolism of both xenobiotic and endogenous epoxides. This enzyme is part of the hydrolase family and is involved in the detoxification processes within the body. The recombinant form of this enzyme, produced through genetic engineering techniques, is used extensively in research and therapeutic applications.
mEH is a membrane-bound enzyme found in the endoplasmic reticulum of cells. It catalyzes the hydrolysis of epoxides to their corresponding diols, which are less reactive and more water-soluble, facilitating their excretion from the body. This reaction is essential for the detoxification of harmful compounds, including those derived from environmental pollutants, drugs, and endogenous metabolic processes .
The EPHX1 gene, located on chromosome 1q42.1, encodes the mEH enzyme. Several polymorphisms in this gene have been identified, which can affect the enzyme’s activity. For instance, the His139Arg polymorphism has been associated with variations in enzyme activity and susceptibility to certain diseases . These genetic variations can influence an individual’s response to environmental toxins and their risk of developing conditions such as cancer, preeclampsia, and neurological disorders .
While mEH is primarily known for its role in xenobiotic metabolism, it also has significant endogenous functions. It metabolizes epoxides derived from fatty acids, such as epoxyeicosatrienoic acids (EETs), which are involved in various physiological processes, including inflammation and cardiovascular regulation . The enzyme’s activity can influence the levels of these bioactive lipids, thereby impacting cardiovascular health and disease .
The recombinant form of mEH is produced using human cells or other expression systems to ensure it closely mimics the natural enzyme. This recombinant enzyme is used in various research applications, including the study of drug metabolism, toxicology, and the development of therapeutic interventions. For example, recombinant mEH is utilized in enzyme-linked immunosorbent assays (ELISAs) to quantify the enzyme’s levels in biological samples, aiding in the diagnosis and monitoring of diseases .