A comparison of whole genome gene expression profiles of HepaRG cells and HepG2 cells to primary human hepatocytes and human liver tissues.

HepaRG cells, derived from a female hepatocarcinoma patient, are capable of differentiating into biliary epithelial cells and hepatocytes. More importantly, differentiated HepaRG cells are able to maintain activities of many xenobiotic-metabolizing enzymes, and expression of the metabolizing enzyme genes can be induced by xenobiotics. The ability of these cells to express and induce xenobiotic-metabolizing enzymes is in stark contrast to the frequently used HepG2 cells. The previous studies have mainly focused on a set of selected genes; therefore, it is of significant interest to know the extent of similarity of gene expression at whole genome levels in HepaRG cells and HepG2 cells compared with primary human hepatocytes and human liver tissues. To accomplish this objective, we used Affymetrix (Santa Clara, CA) U133 Plus 2.0 arrays to characterize the whole genome gene expression profiles in triplicate biological samples from HepG2 cells, HepaRG cells (undifferentiated and differentiated cells), freshly isolated primary human hepatocytes, and frozen liver tissues. After using similarity matrix, principal components, and hierarchical clustering methods, we found that HepaRG cells globally transcribe genes at levels more similar to human primary hepatocytes and human liver tissues than HepG2 cells. In particular, many genes encoding drug-processing proteins are transcribed at a more similar level in HepaRG cells than in HepG2 cells compared with primary human hepatocytes and liver samples. The transcriptomic similarity of HepaRG with primary human hepatocytes is encouraging for use of HepaRG cells in the study of xenobiotic metabolism, hepatotoxicology, and hepatocyte differentiation.

Genetic polymorphisms in cytochrome P450 oxidoreductase influence microsomal P450-catalyzed drug metabolism.

OBJECTIVES: Cytochrome P450 oxidoreductase (POR) is the only flavoprotein that donates electrons to all microsomal P450 enzymes, which catalyze the biosynthesis of steroids, fatty acids, and bile acids, as well as metabolism of more than 80% of prescription drugs. Although mutations in POR have been identified in several disease states with disordered steroidogenesis, effects of polymorphisms on drug metabolism in the general population are unclear. In this report, we performed a comprehensive study to correlate POR polymorphisms with POR gene expression, POR activity, and P450-catalyzed drug metabolism. METHODS: A set of human liver samples (n=99) were used in this study. POR polymorphisms were identified by sequencing the exons and surrounding introns of the POR gene and mRNA levels were quantified by branched DNA technology. POR activity was quantified by measuring cytochrome c reduction in liver microsomes and activities of 10 drug-metabolizing P450 enzymes were quantified by high performance liquid chromatography methods with drugs known to be specific for each enzyme. RESULTS: Of the 34 polymorphisms identified in this cohort, four polymorphisms changed an amino acid: K49N, L420M, A503V, and L577P. L577P likely resulted in an alpha helix change, possible disruption of the nicotinamide adenine dinucleotide phosphate interaction, and decreased POR activity (P=0.003) and several drug-metabolizing P450 activities. We also found an intronic polymorphisms rs41301427, which was associated with altered POR, but not P450 activities. CONCLUSION: Polymorphisms in the POR gene can affect POR and P450-catalyzed drug oxidation. These results suggest that POR has the potential to serve as a predictive biomarker for pharmacogenomic testing.

Novel SNPs in cytochrome P450 oxidoreductase.

Cytochrome P450 oxidoreductase (POR) is the single flavoprotein which donates electrons to the microsomal cytochrome P450 enzymes for oxidation of their substrates. In this study, we sequenced all 15 exons and the surrounding intronic sequences of POR in 100 human liver samples to identify novel and confirm known genetic polymorphisms in POR. Thirty-four single nucleotide polymorphisms (SNPs) were identified including 9 in the coding exons (5 synonymous and 4 nonsynonymous), 20 in the intronic regions, and 5 in the 3'-UTR. Of these, 9 were novel SNPs, including three nonsynonymous SNPs, SNH313003 (817733G>C; K49N), SNH313020 (848661C>A; L420M), and SNH313029 (849577T>C; L577P) with minor allele frequencies of 0.005, 0.045, and 0.020, respectively. We also confirmed a previously reported non-synonymous SNP rs1057868 (A503V) as well as five synonymous SNPs (G5G, T29T, P129P, S485S, and S572S) all with allele frequencies similar to those previously reported. Structurally, these polymorphisms occur in different regions: SNH313003 (K49N) in the amino-terminal tail, SNH313020 (L420M) in the connecting domain, SNH313029 (L577P) in the NADPH-binding domain, and rs1057868 (A503V) in the FAD binding domain.

Genotyping and haplotyping of CYP2C19 functional alleles on thin-film biosensor chips.

OBJECTIVES: Numerous functional polymorphisms in the CYP2C19 gene have been identified; some alleles (e.g. CYP2C19*2 and CYP2C19*3) are associated with poor metabolism of CYP2C19 substrate drugs. Studies have found that the proportion of poor metabolizers, explained by CYP2C19*2 and CYP2C19*3, varies from less than 50% to more than 90% of poor metabolizers. Therefore, phenotype-genotype correlation studies should cover more than CYP2C19*2 and CYP2C19*3. A broader coverage, however, requires an easy-to-use and high-throughput genotyping platform. This broader coverage should also include the recently identified functional allele, CYP2C19*10, which involves a nucleotide change adjacent to the altered nucleotide change in CYP2C19*2. The currently used restriction fragment length polymorphism-based method for genotyping CYP2C19*2 cannot distinguish between CYP2C19*2 and CYP2C19*10. We aim to develop a simple platform that can genotype all CYP2C19 functional alleles. METHODS: We have developed a thin-film biosensor chip platform to genotype 16 exonic CYP2C19 variants, including two sets of two adjacent single nucleotide polymorphisms and 12 single single nucleotide polymorphisms, using a ligation strategy. RESULTS: We demonstrate that this is a rapid, accurate, and inexpensive method for genotyping CYP2C19 variants using individual's genomic DNA samples. We further demonstrate that this genotyping platform can be used to construct a haplotype structure of the CYP2C19 variants in a population, and to assign a haplotype combination to each individual on the basis of his/her genotype results. CONCLUSION: This assay can be applied in pharmacogenomic studies in both basic research and clinical laboratories. It is also an ideal technology for pharmacogenomic tests in both developed and developing countries.

Linkage disequilibrium blocks, haplotype structure, and htSNPs of human CYP7A1 gene.

BACKGROUND: Cholesterol 7-alpha-hydroxylase (CYP7A1) is the rate limiting enzyme for converting cholesterol into bile acids. Genetic variations in the CYP7A1 gene have been associated with metabolic disorders of cholesterol and bile acids, including hypercholesterolemia, hypertriglyceridemia, arteriosclerosis, and gallstone disease. Current genetic studies are focused mainly on analysis of a single nucleotide polymorphism (SNP) at A-278C in the promoter region of the CYP7A1 gene. Here we report a genetic approach for an extensive analysis on linkage disequilibrium (LD) blocks and haplotype structures of the entire CYP7A1 gene and its surrounding sequences in Africans, Caucasians, Asians, Mexican-Americans, and African-Americans. RESULT: The LD patterns and haplotype blocks of CYP7A1 gene were defined in Africans, Caucasians, and Asians using genotyping data downloaded from the HapMap database to select a set of haplotype-tagging SNPs (htSNP). A low cost, microarray-based platform on thin-film biosensor chips was then developed for high-throughput genotyping to study transferability of the HapMap htSNPs to Mexican-American and African-American populations. Comparative LD patterns and haplotype block structure was defined across all test populations. CONCLUSION: A constant genetic structure in CYP7A1 gene and its surrounding sequences was found that may lead to a better design for association studies of genetic variations in CYP7A1 gene with cholesterol and bile acid metabolism.