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Doug Stryke

Publications and source records attributed to Doug Stryke.

17 recordsLinked to original sources

Comparison of methods for genomic localization of gene trap sequences.

BACKGROUND: Gene knockouts in a model organism such as mouse provide a valuable resource for the study of basic biology and human disease. Determining which gene has been inactivated by an untargeted gene trapping event poses a challenging annotation problem because gene trap sequence tags, which represent sequence near the vector insertion site of a trapped gene, are typically short and often contain unresolved residues. To understand better the localization of these sequences on the mouse genome, we compared stand-alone versions of the alignment programs BLAT, SSAHA, and MegaBLAST. A set of 3,369 sequence tags was aligned to build 34 of the mouse genome using default parameters for each algorithm. Known genome coordinates for the cognate set of full-length genes (1,659 sequences) were used to evaluate localization results. RESULTS: In general, all three programs performed well in terms of localizing sequences to a general region of the genome, with only relatively subtle errors identified for a small proportion of the sequence tags. However, large differences in performance were noted with regard to correctly identifying exon boundaries. BLAT correctly identified the vast majority of exon boundaries, while SSAHA and MegaBLAST missed the majority of exon boundaries. SSAHA consistently reported the fewest false positives and is the fastest algorithm. MegaBLAST was comparable to BLAT in speed, but was the most susceptible to localizing sequence tags incorrectly to pseudogenes. CONCLUSION: The differences in performance for sequence tags and full-length reference sequences were surprisingly small. Characteristic variations in localization results for each program were noted that affect the localization of sequence at exon boundaries, in particular.

Algorithms↗

The International Gene Trap Consortium Website: a portal to all publicly available gene trap cell lines in mouse.

Gene trapping is a method of generating murine embryonic stem (ES) cell lines containing insertional mutations in known and novel genes. A number of international groups have used this approach to create sizeable public cell line repositories available to the scientific community for the generation of mutant mouse strains. The major gene trapping groups worldwide have recently joined together to centralize access to all publicly available gene trap lines by developing a user-oriented Website for the International Gene Trap Consortium (IGTC). This collaboration provides an impressive public informatics resource comprising approximately 45 000 well-characterized ES cell lines which currently represent approximately 40% of known mouse genes, all freely available for the creation of knockout mice on a non-collaborative basis. To standardize annotation and provide high confidence data for gene trap lines, a rigorous identification and annotation pipeline has been developed combining genomic localization and transcript alignment of gene trap sequence tags to identify trapped loci. This information is stored in a new bioinformatics database accessible through the IGTC Website interface. The IGTC Website (www.genetrap.org) allows users to browse and search the database for trapped genes, BLAST sequences against gene trap sequence tags, and view trapped genes within biological pathways. In addition, IGTC data have been integrated into major genome browsers and bioinformatics sites to provide users with outside portals for viewing this data. The development of the IGTC Website marks a major advance by providing the research community with the data and tools necessary to effectively use public gene trap resources for the large-scale characterization of mammalian gene function.

Animals↗

Functional characterization and haplotype analysis of polymorphisms in the human equilibrative nucleoside transporter, ENT2.

The equilibrative nucleoside transporter 2 (ENT2; SLC29A2) is a bidirectional transporter that is involved in the disposition of naturally occurring nucleosides as well as a variety of anticancer and antiviral nucleoside analogs. The goal of the current study was to evaluate the function of genetic variants in ENT2 in cellular assays and to determine the haplotype structure of the coding and flanking intronic region of the gene. As part of a large study focused on genetic variation in membrane transporters (Leabman et al., 2003), DNA samples from ethnically diverse populations (100 African-Americans, 100 European-Americans, 30 Asians, 10 Mexicans, and 7 Pacific Islanders) were screened for variants in membrane transporters, including SLC29A2. Fourteen polymorphic sites in SLC29A2 were found, including 11 in the coding region. Five protein-altering variants were identified: three nonsynonymous variants, and two deletions. Each of the protein-altering variants was found at a very low frequency, occurring only once in the sample population. The nonsynonymous variants and the deletions were constructed via site-directed mutagenesis and were subsequently characterized in Xenopus laevis oocytes. All variants were able to take up inosine with the exception of ENT2-Delta845-846, which resulted in a frameshift mutation that prematurely truncated the protein. ENT2 showed very infrequent variation compared with most other transporter proteins studied, and it was found that five haplotypes were sufficient to describe the entire sample set. The low overall genetic diversity in SLC29A2 makes it unlikely that variation in the coding region contributes significantly to clinically observed differences in drug response.

Animals↗

Genetic analysis and functional characterization of polymorphisms in the human concentrative nucleoside transporter, CNT2.

The concentrative nucleoside transporter CNT2 (SPNT1; SLC28A2) plays a role in the absorption and disposition of naturally occurring nucleosides, as well as nucleoside analog drugs. The aim of the present study was to characterize genetic variation in SLC28A2, the gene encoding CNT2, and to functionally analyse non-synonymous variants of CNT2, as a first step towards understanding whether genetic variation in this nucleoside transporter contributes to variation in response to nucleoside analogs. As part of a larger study, DNA samples from an ethnically diverse population (100 African-Americans, 100 European-Americans, 30 Asians, 10 Mexicans and seven Pacific Islanders) were screened and 10 coding region variants of CNT2 were identified. The non-synonymous variants were then constructed and characterized in Xenopus laevis oocytes. Six non-synonymous variants were identified, and all were able to transport guanosine. The four common variants (>1% in the sample population) were further characterized with the anti-viral nucleoside analog drug ribavirin. No differences were observed among the four common variants in the uptake kinetics of 3H-ribavirin (Km in microM: 35.6+/-9.27 for CNT2-reference, 40.7+/-6.47 for CNT2-P22L, 31.2+/-15.8 for CNT2-S75R, 26.7+/-6.13 for CNT2-S245T and 49.9+/-14.6 for CNT2-F355S). The variant CNT2-F355S exhibited a change in specificity for the naturally occurring nucleosides, inosine and uridine. All non-synonymous variants of CNT2 took up guanosine, and the four variants examined showed no significant difference in ribavirin kinetics. However, CNT2-F355S (3% allele frequency in the African-American sample) was found to alter specificity for naturally occurring nucleosides, which may have implications for nucleoside homeostasis.

Alleles↗

Functional analysis of polymorphisms in the organic anion transporter, SLC22A6 (OAT1).

OBJECTIVES: The organic anion transporter, OAT1 (SLC22A6), plays a role in the renal elimination of many drugs and environmental toxins. The goal of this study was to identify and functionally characterize OAT1 variants as a first step towards understanding whether genetic variation in OAT1 may contribute to interindividual differences in renal elimination of xenobiotics. METHODS: As part of a larger study, 276 DNA samples from an ethnically diverse population were screened and 12 coding region variants of OAT1 were identified. The non-synonymous variants were then constructed and characterized in Xenopus laevis oocytes. A small family-based clinical study was conducted to determine the renal elimination of a model OAT1 substrate, adefovir (an antiviral agent) in human subjects who possessed a non-functional variant, OAT1-R454Q. RESULTS: Six non-synonymous variants were identified; two (OAT1-R50 H and OAT1-R293W) were present at > or = 1% in at least one ethnic population. These two variants exhibited normal uptake of p-aminohippurate, ochratoxin A and methotrexate assayed in X. laevis oocytes. One variant, OAT1-R454Q, was non-functional with respect to the above substrates. In the clinical study, there was no significant decrease in the renal secretory clearance of adefovir in family members heterozygous for OAT1-454Q in comparison to those with the reference transporter, OAT1-454R. CONCLUSIONS: These data indicate that the coding region of OAT1 has low genetic and functional diversity and suggest that coding region variants of OAT1 may not contribute substantially to interindividual differences in renal elimination of xenobiotics.

Adenine↗

Enhancing data sharing in collaborative research projects with DASH.

We describe a software framework, called DASH, that enables the facile access, maintenance, curation and sharing of computational biology data among collaborating research scientists. The DASH event-based framework enables members of team-based research projects to describe the multistep computational processing pipelines frequently required to generate data for sharing, monitors multiple distributed data stores for changes, and will then automatically invoke the appropriate processing pipeline(s). These pipelines can be used to communicate the results of data analyses to collaborators using mechanisms such as Web Services. We describe the overall design of the DASH system and the application of a simple DASH prototype to a collaborative pharmacogenomics research project involving several dozen researchers located at several different sites--the UCSF Pharmacogenetics of Membrane Transporters project.

Automation↗

Natural variation in human membrane transporter genes reveals evolutionary and functional constraints.

Membrane transporters maintain cellular and organismal homeostasis by importing nutrients and exporting toxic compounds. Transporters also play a crucial role in drug response, serving as drug targets and setting drug levels. As part of a pharmacogenetics project, we screened exons and flanking intronic regions for variation in a set of 24 membrane transporter genes (96 kb; 57% coding) in 247 DNA samples from ethnically diverse populations. We identified 680 single nucleotide polymorphisms (SNPs), of which 175 were synonymous and 155 caused amino acid changes, and 29 small insertions and deletions. Amino acid diversity (pi(NS)) in transmembrane domains (TMDs) was significantly lower than in loop domains, suggesting that TMDs have special functional constraints. This difference was especially striking in the ATP-binding cassette superfamily and did not parallel evolutionary conservation: there was little variation in the TMDs, even in evolutionarily unconserved residues. We used allele frequency distribution to evaluate different scoring systems (Grantham, blosum62, SIFT, and evolutionarily conservedevolutionarily unconserved) for their ability to predict which SNPs affect function. Our underlying assumption was that alleles that are functionally deleterious will be selected against and thus under represented at high frequencies and over represented at low frequencies. We found that evolutionary conservation of orthologous sequences, as assessed by evolutionarily conservedevolutionarily unconserved and SIFT, was the best predictor of allele frequency distribution and hence of function. European Americans had an excess of high frequency alleles in comparison to African Americans, consistent with a historic bottleneck. In addition, African Americans exhibited a much higher frequency of population specific medium-frequency alleles than did European Americans.

DNA↗

Evolutionary conservation predicts function of variants of the human organic cation transporter, OCT1.

The organic cation transporter, OCT1, is a major hepatic transporter that mediates the uptake of many organic cations from the blood into the liver where the compounds may be metabolized or secreted into the bile. Because OCT1 interacts with a variety of structurally diverse organic cations, including clinically used drugs as well as toxic substances (e.g., N-methylpyridinium, MPP(+)), it is an important determinant of systemic exposure to many xenobiotics. To understand the genetic basis of extensive interindividual differences in xenobiotic disposition, we functionally characterized 15 protein-altering variants of the human liver organic cation transporter, OCT1, in Xenopus oocytes. All variants that reduced or eliminated function (OCT1-R61C, OCT1-P341L, OCT1-G220V, OCT1-G401S, and OCT1-G465R) altered evolutionarily conserved amino acid residues. In general, variants with decreased function had amino acid substitutions that resulted in more radical chemical changes (higher Grantham values) and were less evolutionarily favorable (lower blosum62 values) than variants that maintained function. A variant with increased function (OCT1-S14F) changed an amino acid residue such that the human protein matched the consensus of the OCT1 mammalian orthologs. Our results indicate that changes at evolutionarily conserved positions of OCT1 are strong predictors of decreased function and suggest that a combination of evolutionary conservation and chemical change might be a stronger predictor of function.

Alleles↗

BayGenomics: a resource of insertional mutations in mouse embryonic stem cells.

The BayGenomics gene-trap resource (http://baygenomics.ucsf.edu) provides researchers with access to thousands of mouse embryonic stem (ES) cell lines harboring characterized insertional mutations in both known and novel genes. Each cell line contains an insertional mutation in a specific gene. The identity of the gene that has been interrupted can be determined from a DNA sequence tag. Approximately 75% of our cell lines contain insertional mutations in known mouse genes or genes that share strong sequence similarities with genes that have been identified in other organisms. These cell lines readily transmit the mutation to the germline of mice and many mutant lines of mice have already been generated from this resource. BayGenomics provides facile access to our entire database, including sequence tags for each mutant ES cell line, through the World Wide Web. Investigators can browse our resource, search for specific entries, download any portion of our database and BLAST sequences of interest against our entire set of cell line sequence tags. They can then obtain the mutant ES cell line for the purpose of generating knockout mice.

Animals↗

Functional characterization in yeast of genetic variants in the human equilibrative nucleoside transporter, ENT1.

The human equilibrative nucleoside transporter, ENT1, appears to play a critical role in the disposition of nucleosides and nucleoside analogs used clinically as anti-viral and anti-cancer drugs. Recently, we identified variants of ENT1 in an ethnically diverse DNA sample set from 247 individuals, focusing primarily on the coding region. The goal of the present study was to analyse the haplotype structure and functionally characterize the variants of ENT1. We observed that a single haplotype, ENT1*1, accounted for 91.3% of the 494 chromosomes. Functional analysis in Saccharomyces cerevisiae revealed no differences in the kinetics of uptake of nucleosides and nucleoside analogs by the two non-synonymous variant transporters, ENT1-I216T and ENT1-E391K, and the reference ENT1. These results, together with the observation that there are few haplotypes of ENT1, indicate that coding region variants of ENT1 do not contribute to inter-individual differences in response to nucleoside analog drugs.

Amino Acid Sequence↗

Sequence diversity and haplotype structure in the human ABCB1 (MDR1, multidrug resistance transporter) gene.

OBJECTIVES: There is increasing evidence that polymorphism of the ABCB1 (MDR1) gene contributes to interindividual variability in bioavailability and tissue distribution of P-glycoprotein substrates. The aim of the present study was to (1) identify and describe novel variants in the ABCB1 gene, (2) understand the extent of variation in ABCB1 at the population level, (3) analyze how variation in ABCB1 is structured in haplotypes, and (4) functionally characterize the effect of the most common amino acid change in P-glycoprotein. METHODS AND RESULTS: Forty-eight variant sites, including 30 novel variants and 13 coding for amino acid changes, were identified in a collection of 247 ethnically diverse DNA samples. These variants comprised 64 statistically inferred haplotypes, 33 of which accounted for 92% of chromosomes analyzed. The two most common haplotypes, ABCB1*1 and ABCB1*13, differed at six sites (three intronic, two synonymous, and one non-synonymous) and were present in 36% of all chromosomes. Significant population substructure was detected at both the nucleotide and haplotype level. Linkage disequilibrium was significant across the entire ABCB1 gene, especially between the variant sites found in ABCB1*13, and recombination was inferred. The Ala893Ser change found in the common ABCB1*13 haplotype did not affect P-glycoprotein function. CONCLUSION: This study represents a comprehensive analysis of ABCB1 nucleotide diversity and haplotype structure in different populations and illustrates the importance of haplotype considerations in characterizing the functional consequences of ABCB1 polymorphisms.

Base Sequence↗

SNP analysis and presentation in the Pharmacogenetics of Membrane Transporters Project.

The multidisciplinary UCSF Pharmacogenetics of Membrane Transporters project seeks to systematically identify sequence variants in transporters and to determine the functional significance of these variants through evaluation of relevant cellular and clinical phenotypes. The project is structured around four interacting cores: genomics, cellular phenotyping, clinical phenotyping, and bioinformatics. The bioinformatics core is responsible for collecting, storing, and analyzing the information obtained by the other cores and for presenting the results, in particular, for the genomic data. Most of this process is automated using locally developed software written in Python, an open source language well suited for rapid, modular development that meets requirements that are themselves constantly evolving. Here we present the details of transforming ABI trace file data into useful information for project investigators and a description of the types of data analysis and display that we have developed.

Amino Acid Sequence↗