Search PubMed⌕ Search

Biomedical subjects

Roderick V Jensen

Publications and source records attributed to Roderick V Jensen.

At least 19 recordsLinked to original sources
PubMed2007

Molecular markers of early Parkinson's disease based on gene expression in blood.

Parkinson's disease (PD) progresses relentlessly and affects five million people worldwide. Laboratory tests for PD are critically needed for developing treatments designed to slow or prevent progression of the disease. We performed a transcriptome-wide scan in 105 individuals to interrogate the molecular processes perturbed in cellular blood of patients with early-stage PD. The molecular multigene marker here identified is associated with risk of PD in 66 samples of the training set comprising healthy and disease controls [third tertile cross-validated odds ratio of 5.7 (P for trend 0.005)]. It is further validated in 39 independent test samples [third tertile odds ratio of 5.1 (P for trend 0.04)]. Insights into disease-linked processes detectable in peripheral blood are offered by 22 unique genes differentially expressed in patients with PD versus healthy individuals. These include the co-chaperone ST13, which stabilizes heat-shock protein 70, a modifier of alpha-synuclein misfolding and toxicity. ST13 messenger RNA copies are lower in patients with PD (mean +/- SE 0.59 +/- 0.05) than in controls (0.96 +/- 0.09) (P = 0.002) in two independent populations. Thus, gene expression signals measured in blood can facilitate the development of biomarkers for PD.

Biomarkers↗
PubMed2006

Variation in retinitis pigmentosa-11 (PRPF31 or RP11) gene expression between symptomatic and asymptomatic patients with dominant RP11 mutations.

Dominant mutations in the mRNA splicing factor gene PRPF31 (RP11) cause retinitis pigmentosa with reduced penetrance. We studied the expression of RP11 in lymphoblast cell lines from 10 patients, including three who were clinically asymptomatic, with six distinct RP11 mutations. Five of the six mutations were characterized and all five created premature nonsense codons or eliminated the normal initiation codon. Semiquantitative RT-PCR indicated that an average of only 17% of the RP11 mRNA was derived from the mutant allele, likely because the mutant mRNA transcripts were degraded by nonsense-mediated decay. Gene expression levels were measured by Affymetrix and CodeLink microarrays and, for RP11 transcripts, also by real-time PCR. Combined wild-type-plus-mutant RP11 mRNA expression from symptomatic patients was 52 to 77% of that in controls (p < or = 0.0005). Clinically asymptomatic carriers had levels of RP11 mRNA similar to controls and 29-42% higher than in clinically affected patients (0.0001<p<0.05, varying according to measurement technique). Expression levels of seven housekeeping genes (4-15 exons each) and 11 single-exon histone genes showed no substantial differences between affected patients with RP11 mutations and controls. Our results indicate that penetrance of dominant RP11 mutations correlates with the expression level of the remaining wild-type RP11 allele. Because RP11 mutations are apparently null alleles and because nonpenetrance correlates with high wild-type allele expression, the phenotypic effect of RP11 mutations is likely due to haploinsufficiency. The similar mRNA expression levels from genes with and without introns suggest that there is no generalized RNA splicing abnormality in RP11 patients.

Alleles↗
PubMed2006

Evaluation of DNA microarray results with quantitative gene expression platforms.

We have evaluated the performance characteristics of three quantitative gene expression technologies and correlated their expression measurements to those of five commercial microarray platforms, based on the MicroArray Quality Control (MAQC) data set. The limit of detection, assay range, precision, accuracy and fold-change correlations were assessed for 997 TaqMan Gene Expression Assays, 205 Standardized RT (Sta)RT-PCR assays and 244 QuantiGene assays. TaqMan is a registered trademark of Roche Molecular Systems, Inc. We observed high correlation between quantitative gene expression values and microarray platform results and found few discordant measurements among all platforms. The main cause of variability was differences in probe sequence and thus target location. A second source of variability was the limited and variable sensitivity of the different microarray platforms for detecting weakly expressed genes, which affected interplatform and intersite reproducibility of differentially expressed genes. From this analysis, we conclude that the MAQC microarray data set has been validated by alternative quantitative gene expression platforms thus supporting the use of microarray platforms for the quantitative characterization of gene expression.

Equipment Design↗
PubMed2006

The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurements.

Over the last decade, the introduction of microarray technology has had a profound impact on gene expression research. The publication of studies with dissimilar or altogether contradictory results, obtained using different microarray platforms to analyze identical RNA samples, has raised concerns about the reliability of this technology. The MicroArray Quality Control (MAQC) project was initiated to address these concerns, as well as other performance and data analysis issues. Expression data on four titration pools from two distinct reference RNA samples were generated at multiple test sites using a variety of microarray-based and alternative technology platforms. Here we describe the experimental design and probe mapping efforts behind the MAQC project. We show intraplatform consistency across test sites as well as a high level of interplatform concordance in terms of genes identified as differentially expressed. This study provides a resource that represents an important first step toward establishing a framework for the use of microarrays in clinical and regulatory settings.

Equipment Design↗
PubMed2006

Using RNA sample titrations to assess microarray platform performance and normalization techniques.

We have assessed the utility of RNA titration samples for evaluating microarray platform performance and the impact of different normalization methods on the results obtained. As part of the MicroArray Quality Control project, we investigated the performance of five commercial microarray platforms using two independent RNA samples and two titration mixtures of these samples. Focusing on 12,091 genes common across all platforms, we determined the ability of each platform to detect the correct titration response across the samples. Global deviations from the response predicted by the titration ratios were observed. These differences could be explained by variations in relative amounts of messenger RNA as a fraction of total RNA between the two independent samples. Overall, both the qualitative and quantitative correspondence across platforms was high. In summary, titration samples may be regarded as a valuable tool, not only for assessing microarray platform performance and different analysis methods, but also for determining some underlying biological features of the samples.

Algorithms↗
PubMed2006

Sex-related effect on gene expression in the mouse meibomian gland.

PURPOSE: Sex-related differences have been identified in the anatomy and physiology of the meibomian gland. We hypothesize that these differences are due, at least in part, to variations in gene expression. This study's objective was to determine whether sex-related differences do exist in meibomian gland gene expression. We also sought to elucidate whether such differences, if any, might be (a) analogous to those known to occur in the lacrimal gland and (b) due to the effect of sex steroids. METHODS: Meibomian glands were obtained from young adult male and female BALB/c mice (n=7 to 15 mice per sex per experiment), pooled according to sex and processed for the isolation of RNA. Samples were evaluated for differentially expressed mRNAs by using CodeLink Bioarrays and GEM 1 and 2 gene chips. Bioarray data were analyzed with GeneSifter. Net software and also compared with microarray data in GEO and GeneSifter databases. RESULTS: Our results demonstrate that sex has a significant influence on the expression of 164 genes in the mouse meibomian gland. These genes are involved in a broad spectrum of biological processes, molecular functions, and cellular components, including such activities as metabolism, catalysis, cell growth and maintenance, membrane architecture, nucleic acid binding, transcription, and signal transduction. In addition, the nature of the sex-related variations in meibomian gland gene expression is quite different from those in the lacrimal gland and appear to be mediated in part by the action of androgens, but not estrogens or progestins. CONCLUSIONS: These findings support our hypothesis that sex-related differences exist in gene expression of the meibomian gland.

Animals↗
PubMed2006

Influence of testosterone on gene expression in the ovariectomized mouse submandibular gland.

Androgens exert significant effects on the murine submandibular gland. Our objective in this study was to determine the nature and extent of testosterone regulation of gene expression in the female submandibular gland, and to explore the degree to which this control is the same as in male glands. Ovariectomized female BALB/c mice were treated with placebo- or testosterone-containing hormone pellets for 14 d. Glands were collected and total RNA was isolated. Samples were analyzed for differential expression of mRNA using CodeLink microarrays, and the data were evaluated using genesifter. Testosterone significantly influenced the expression of over 500 genes, and while many (n = 214) of the genes were similarly differentially expressed in androgen-treated males, there were also many that were unique. These findings support our hypotheses that testosterone extensively influences gene expression in the female submandibular gland, and that the nature of this influence is variable between sexes.

Animals↗
PubMed2006

Estrogen's and progesterone's impact on gene expression in the mouse lacrimal gland.

PURPOSE: The hypothesis tested in the study was that the effect of estrogen and progesterone on the lacrimal gland is mediated through specific receptors and that hormonal effects involve the regulation of gene expression and protein synthesis. METHODS: Lacrimal glands were collected from young adult, ovariectomized mice, that were treated with 17beta-estradiol, progesterone, 17beta-estradiol plus progesterone or vehicle for 2 weeks. Glands were pooled according to treatment, processed for the isolation of RNA, and evaluated for differentially expressed mRNAs by using gene microarrays. Bioarray data were analyzed with sophisticated bioinformatics and statistical programs. The expression of selected genes was verified by using gene chips and quantitative real-time PCR methods. RESULTS: The results demonstrate that 17beta-estradiol, progesterone, or both hormones together significantly influences the expression of hundreds of genes in the mouse lacrimal gland. Sex steroid treatment led to numerous alterations in gene activities related to transcriptional control, cell growth and/or maintenance, cell communication, signal transduction, enzyme catalysis, immune expression, and the binding and metabolism of nucleic acids and proteins. A number of the 17beta-estradiol, progesterone or 17beta-estradiol plus progesterone effects on gene expression were similar, but most were unique to each treatment. Of particular interest was the finding that these hormones seem to contribute little to the known sex-related differences in gene expression of the lacrimal gland. CONCLUSIONS: These results support the hypothesis that estrogen's and progesterone's action on the lacrimal gland involves the regulation of numerous genes. However, these hormone effects do not appear to represent a major factor underlying the sexual dimorphism of gene expression in lacrimal tissue.

Animals↗
PubMed2005

Endogenous ouabain: upregulation of steroidogenic genes in hypertensive hypothalamus but not adrenal.

BACKGROUND: Mammalian tissues contain a presumed endogenous Na+, K(+)-ATPase inhibitor that binds reversibly to the Na+ pump with high affinity and specificity. The inhibitor has been linked to the pathogenesis of experimental volume-expanded and human essential hypertension. This compound has been isolated from mammalian hypothalamus and appears to be an isomer of the plant-derived cardiac glycoside ouabain, if not ouabain itself. The objective of this study was to test the hypothesis that a biosynthetic pathway exists in mammalian tissues to produce a steroid derivative closely related to plant cardiac glycosides. METHODS AND RESULTS: Using bioinformatics and genomic techniques, Milan hypertensive rat tissues were studied because this strain has a 10-fold increase in hypothalamic ouabain-like compound that is linked to the pathogenesis of the hypertension. A putative steroid biosynthetic pathway was constructed and candidate genes encoding enzymes in this pathway were identified from sequence databases. Differential expression of selected genes in the pathway was studied by microarray analysis and quantitative polymerase chain reaction, with functional validation by gene silencing using small interfering RNAs. Marked upregulation of genes coding for P450 side chain cleavage and Delta5-3beta-hydroxysteroid dehydrogenase/Delta5-Delta4- isomerase enzymes in hypertensive hypothalamus but not adrenal was found, compared with normotensive Milan rats. Knockdown of the latter gene decreased production of ouabain-like factor from neural tissue. CONCLUSIONS: Our findings support the possibility that a unique steroid biosynthetic circuit exists in Milan rat brain, functioning independently from adrenal, which could account for the overproduction of the hypothalamic ouabain-like compound in this species.

Adrenal Glands↗
PubMed2005

Androgen regulation of gene expression in the mouse lacrimal gland.

The objective of this study was to determine the nature and extent of androgen influence on gene expression in the lacrimal gland. Lacrimal glands were obtained from orchiectomized mice that had been treated with testosterone or vehicle for 2 weeks, as well as from testicular feminized mice and their Tabby controls. Samples were pooled according to experiment, processed for the isolation of RNA, and analyzed for differentially expressed mRNAs by using primarily CodeLink Bioarrays, GEM 1 and 2 gene chips and quantitative real-time PCR (qPCR) procedures. Gene chip data were analyzed with GeneSifter.Net software. Our results demonstrate that testosterone regulates the expression of over 2000 genes in the lacrimal gland. Gene ontologies most affected by androgen treatment included those related to cell growth, proliferation and metabolism, cell communication and transport, nucleic acid binding, signal transduction and receptor activities. Our findings also indicate that androgen action may be mediated, at least in part, through classical androgen receptors, and may contribute to the sex-related differences in gene expression of lacrimal tissue. Overall, these results support our working hypothesis that androgen action on the lacrimal gland is mediated primarily through a receptor-associated regulation of gene transcription.

Androgens↗
PubMed2005

Influence of sex on gene expression in the mouse lacrimal gland.

Significant, sex-associated differences exist in the physiology and pathophysiology of the lacrimal gland. We hypothesize that many of these differences are due to fundamental variations in gene expression. The purpose of this study was to determine the extent to which sex-related differences in gene expression are present in the lacrimal gland. Lacrimal glands were obtained from adult male and female BALB/c mice (n=5-10mice/sex/experiment), pooled according to sex and processed for the isolation of RNA. Samples were analyzed for differentially expressed mRNAs by using Atlas Mouse cDNA Expression Arrays, cDNA amplification techniques, GEM 1 and 2 gene chips, CodeLink bioarrays and quantitative real-time PCR (qPCR) procedures. Quantitative evaluation of Atlas Array gene expression was performed with an image analysis system developed in our laboratory, whereas gene chip data were analyzed with Rosetta Resolver and GeneSifter.Net software. Statistical significance was determined by using Student's t-test. Our results with CodeLink bioarrays show that sex has a significant influence on the expression of over 490 genes in the mouse lacrimal gland. These genes are involved in a wide range of biological processes, molecular functions and cellular components, including such activities as development, growth, transcription, metabolism, signal transduction, transport, receptor activity and protein and nucleic acid binding. The expression of selected genes was confirmed by the use of GEM gene chips and qPCR. Our findings also demonstrate that certain methodological approaches are less useful in attempting to assess the magnitude of sex-associated differences in the lacrimal gland. These results support our hypothesis that sex-related differences in gene expression play a role in the sexual dimorphism of the lacrimal gland.

Animals↗
PubMed2005

Validation of genomics-based prognostic tests in malignant pleural mesothelioma.

PURPOSE: Malignant pleural mesothelioma (MPM) is a highly lethal neoplasm with limited pretreatment prognostication strategies. In this report, we examine the accuracy of a previously proposed prognostic test in an independent cohort of MPM patients. This test uses simple ratios of gene expression levels to provide a novel prognostication scheme. EXPERIMENTAL DESIGN: Gene expression data using high-density oligonucleotide microarrays (approximately 22,000 genes) were obtained for a new cohort of human MPM tumors from patients undergoing similar treatments (n = 39). The relative expression levels for specific genes were also determined using real-time quantitative reverse transcription-PCR. We also used a subset of these tumors associated with widely divergent patient survival (n = 23) as a training set to identify new treatment-specific candidate prognostic molecular markers and gene ratio-based prognostic tests. The predictive nature of these newly discovered markers and gene ratio-based prognostic tests were then examined in an independent group of tumors (n = 52) using microarray data and quantitative reverse transcription-PCR. RESULTS: Previously described MPM prognostic genes and gene ratio-based prognostic tests predicted clinical outcome in 39 independent MPM tumor specimens in a statistically significant manner. Newly discovered treatment-specific prognostic genes and gene ratio-based prognostic tests were highly accurate and statistically significant when examined in an independent group of 52 tumors from patients undergoing similar treatment. CONCLUSIONS: The data support the use of gene ratios in translating gene expression data into easily reproducible, statistically validated clinical tests for the prediction of outcome in MPM.

Adult↗
PubMed2005

Effects of a verbenachalcone derivative on neurite outgrowth, inhibition of caspase induction and gene expression.

A verbenachalcone derivative was synthesized and shown to protect N2a cells from caspase induction caused by serum starvation and to enhance the effect of NGF on neurite outgrowth in PC12 cells. As an initial investigation of the compound's mechanism(s) of action, we performed differential gene expression profiling in PC12 cells using oligonucleotide ( approximately 10,000 gene probes) microarrays. Gene expression patterns were compared in the presence of NGF (2 and 50 ng/mL) and NGF (2 ng/mL) plus the verbenachalcone derivative. Ten genes were significantly (2-fold; p0.05) up-regulated and seven genes were significantly down-regulated in the presence of the compound. These results were independently validated by quantitative real-time PCR for a subset of genes (cathepsin L, sigma-1 receptor and protein tyrosine phosphatase receptor type R). These genes or their protein products may represent useful therapeutic targets for treating neurodegeneration, such as Alzheimer's disease.

Animals↗
PubMed2005

Expression profiling of substantia nigra in Parkinson disease, progressive supranuclear palsy, and frontotemporal dementia with parkinsonism.

BACKGROUND: Parkinson disease (PD) is characterized by loss of dopaminergic neurons in the substantia nigra. Genes contributing to rare mendelian forms of PD have been identified, but the genes involved in the more common idiopathic PD are not well understood. OBJECTIVES: To identify genes important to PD pathogenesis using microarrays and to investigate their potential to aid in diagnosing parkinsonism. DESIGN: Microarray expression analysis of postmortem substantia nigra tissue. PATIENTS: Substantia nigra samples from 14 unrelated individuals were analyzed, including 6 with PD, 2 with progressive supranuclear palsy, 1 with frontotemporal dementia with parkinsonism, and 5 control subjects. MAIN OUTCOME MEASURES: Identification of genes significantly differentially expressed (P<.05) using Affymetrix U133A microarrays. RESULTS: There were 142 genes that were significantly differentially expressed between PD cases and controls and 96 genes that were significantly differentially expressed between the combined progressive supranuclear palsy and frontotemporal dementia with parkinsonism cases and controls. The 12 genes common to all 3 disorders may be related to secondary effects. Hierarchical cluster analysis after exclusion of these 12 genes differentiated 4 of the 6 PD cases from progressive supranuclear palsy and frontotemporal dementia with parkinsonism. CONCLUSIONS: Four main molecular pathways are altered in PD substantia nigra: chaperones, ubiquitination, vesicle trafficking, and nuclear-encoded mitochondrial genes. These results correlate well with expression analyses performed in several PD animal models. Expression analyses have promising potential to aid in postmortem diagnostic evaluation of parkinsonism.

Aged↗
PubMed2005

Identification of novel candidate oncogenes and tumor suppressors in malignant pleural mesothelioma using large-scale transcriptional profiling.

Malignant pleural mesothelioma (MPM) is a highly lethal, poorly understood neoplasm that is typically associated with asbestos exposure. We performed transcriptional profiling using high-density oligonucleotide microarrays containing approximately 22,000 genes to elucidate potential molecular and pathobiological pathways in MPM using discarded human MPM tumor specimens (n = 40), normal lung specimens (n = 4), normal pleura specimens (n = 5), and MPM and SV40-immortalized mesothelial cell lines (n = 5). In global expression analysis using unsupervised clustering techniques, we found two potential subclasses of mesothelioma that correlated loosely with tumor histology. We also identified sets of genes with expression levels that distinguish between multiple tumor subclasses, normal and tumor tissues, and tumors with different morphologies. Microarray gene expression data were confirmed using quantitative reverse transcriptase-polymerase chain reaction and protein analysis for three novel candidate oncogenes (NME2, CRI1, and PDGFC) and one candidate tumor suppressor (GSN). Finally, we used bioinformatics tools (ie, software) to create and explore complex physiological pathways. Combined, all of these data may advance our understanding of mesothelioma tumorigenesis, pathobiology, or both.

Blotting, Western↗
PubMed2005

Androgen control of gene expression in the mouse meibomian gland.

PURPOSE: In prior work, it has been found that the meibomian gland is an androgen target organ, that androgens modulate lipid production within this tissue, and that androgen deficiency is associated with glandular dysfunction and evaporative dry eye. This study's purpose was to test the hypothesis that the androgen control of the meibomian gland involves the regulation of gene expression. METHODS: Meibomian glands were obtained from orchiectomized mice that were treated with placebo or testosterone for 14 days. Tissues were processed for the analysis of differentially expressed mRNAs by using gene bioarrays, gene chips, and real-time PCR procedures. Bioarray data were analyzed with GeneSifter software (VizX Labs LLC, Seattle, WA). RESULTS: The results show that testosterone influenced the expression of more than 1590 genes in the mouse meibomian gland. This hormone action involved a significant upregulation of 1080 genes (e.g., neuromedin B), and a significant downregulation of 518 genes (e.g., small proline-rich protein 2A). Some of the most significant androgen effects were directed toward stimulation of genes associated with lipid metabolism, sterol biosynthesis, fatty acid metabolism, protein transport, oxidoreductase activity, and peroxisomes. CONCLUSIONS: These findings demonstrate that testosterone regulates the expression of numerous genes in the mouse meibomian gland and that many of these genes are involved in lipid metabolic pathways.

Animals↗
PubMed2003

Spatiotemporal patterns of gene expression during fetal monkey brain development.

Human DNA microarrays are used to study the spatiotemporal patterns of gene expression during the course of fetal monkey brain development. The 444 most dynamically expressed genes in four major brain areas are reported at five different fetal ages. The spatiotemporal profiles of gene expression show both regional specificity as well as waves of gene expression across the developing brain. These patterns of expression are used to identify statistically significant clusters of co-regulated genes. This study demonstrates for the first time in the primate the relevance, timing, and spatial locations of expression for many developmental genes identified in other animals and provides clues to the functions of many unknowns. Two different microarray platforms are used to provide high-throughput cross validation of the most important gene expression changes. These results may lead to new understanding of brain development and new strategies for treating and repairing disorders of brain function.

Animals↗