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Biomedical subjects

Cynthia A Afshari

Publications and source records attributed to Cynthia A Afshari.

At least 19 recordsLinked to original sources

Use of a mixed tissue RNA design for performance assessments on multiple microarray formats.

The comparability and reliability of data generated using microarray technology would be enhanced by use of a common set of standards that allow accuracy, reproducibility and dynamic range assessments on multiple formats. We designed and tested a complex biological reagent for performance measurements on three commercial oligonucleotide array formats that differ in probe design and signal measurement methodology. The reagent is a set of two mixtures with different proportions of RNA for each of four rat tissues (brain, liver, kidney and testes). The design provides four known ratio measurements of >200 reference probes, which were chosen for their tissue-selectivity, dynamic range coverage and alignment to the same exemplar transcript sequence across all three platforms. The data generated from testing three biological replicates of the reagent at eight laboratories on three array formats provides a benchmark set for both laboratory and data processing performance assessments. Close agreement with target ratios adjusted for sample complexity was achieved on all platforms and low variance was observed among platforms, replicates and sites. The mixed tissue design produces a reagent with known gene expression changes within a complex sample and can serve as a paradigm for performance standards for microarrays that target other species.

Animals↗

Prediction of nephrotoxicant action and identification of candidate toxicity-related biomarkers.

A vast majority of pharmacological compounds and their metabolites are excreted via the urine, and within the complex structure of the kidney,the proximal tubules are a main target site of nephrotoxic compounds. We used the model nephrotoxicants mercuric chloride, 2-bromoethylamine hydrobromide, hexachlorobutadiene, mitomycin, amphotericin, and puromycin to elucidate time- and dose-dependent global gene expression changes associated with proximal tubular toxicity. Male Sprague-Dawley rats were dosed via intraperitoneal injection once daily for mercuric chloride and amphotericin (up to 7 doses), while a single dose was given for all other compounds. Animals were exposed to 2 different doses of these compounds and kidney tissues were collected on day 1, 3, and 7 postdosing. Gene expression profiles were generated from kidney RNA using 17K rat cDNA dual dye microarray and analyzed in conjunction with histopathology. Analysis of gene expression profiles showed that the profiles clustered based on similarities in the severity and type of pathology of individual animals. Further, the expression changes were indicative of tubular toxicity showing hallmarks of tubular degeneration/regeneration and necrosis. Use of gene expression data in predicting the type of nephrotoxicity was then tested with a support vector machine (SVM)-based approach. A SVM prediction module was trained using 120 profiles of total profiles divided into four classes based on the severity of pathology and clustering. Although mitomycin C and amphotericin B treatments did not cause toxicity, their expression profiles were included in the SVM prediction module to increase the sample size. Using this classifier, the SVM predicted the type of pathology of 28 test profiles with 100% selectivity and 82% sensitivity. These data indicate that valid predictions could be made based on gene expression changes from a small set of expression profiles. A set of potential biomarkers showing a time- and dose-response with respect to the progression of proximal tubular toxicity were identified. These include several transporters (Slc21a2, Slc15, Slc34a2), Kim 1, IGFbp-1, osteopontin, alpha-fibrinogen, and Gstalpha.

Animals↗

Integrating phenotypic and expression profiles to map arsenic-response networks.

BACKGROUND: Arsenic is a nonmutagenic carcinogen affecting millions of people. The cellular impact of this metalloid in Saccharomyces cerevisiae was determined by profiling global gene expression and sensitivity phenotypes. These data were then mapped to a metabolic network composed of all known biochemical reactions in yeast, as well as the yeast network of 20,985 protein-protein/protein-DNA interactions. RESULTS: While the expression data unveiled no significant nodes in the metabolic network, the regulatory network revealed several important nodes as centers of arsenic-induced activity. The highest-scoring proteins included Fhl1, Msn2, Msn4, Yap1, Cad1 (Yap2), Pre1, Hsf1 and Met31. Contrary to the gene-expression analyses, the phenotypic-profiling data mapped to the metabolic network. The two significant metabolic networks unveiled were shikimate, and serine, threonine and glutamate biosynthesis. We also carried out transcriptional profiling of specific deletion strains, confirming that the transcription factors Yap1, Arr1 (Yap8), and Rpn4 strongly mediate the cell's adaptation to arsenic-induced stress but that Cad1 has negligible impact. CONCLUSIONS: By integrating phenotypic and transcriptional profiling and mapping the data onto the metabolic and regulatory networks, we have shown that arsenic is likely to channel sulfur into glutathione for detoxification, leads to indirect oxidative stress by depleting glutathione pools, and alters protein turnover via arsenation of sulfhydryl groups on proteins. Furthermore, we show that phenotypically sensitive pathways are upstream of differentially expressed ones, indicating that transcriptional and phenotypic profiling implicate distinct, but related, pathways.

Arsenic↗

Integration of clinical and gene expression endpoints to explore furan-mediated hepatotoxicity.

Molecular techniques, such as cDNA microarrays, are being used to aid in the elucidation of the mechanisms of toxicity of a variety of compounds. In this study, we evaluate the molecular effects of furan in the rat liver. Sprague-Dawley rats were exposed to 4 or 40 mg/kg furan for up to 14 days. Furan induced an initial degenerative and necrotic phenotype that was followed by inflammation and fibrosis, consistent with previous observations for this compound. RNA was harvested from each lobe of the liver at several time points to observe whether lobe-specific gene expression effects occurred. Similar gene expression changes were observed in all lobes, however the magnitude of gene expression change was more pronounced in the right lobe. Finally, to help determine the correlation between gene expression changes and liver pathology, we applied traditional microarray visualization tools to the assessment of clinical chemistry and pathology parameters.

Animals↗

Short-chain fatty acids enhance nuclear receptor activity through mitogen-activated protein kinase activation and histone deacetylase inhibition.

In this study, we demonstrate that the pervasive xenobiotic methoxyacetic acid and the commonly prescribed anticonvulsant valproic acid, both short-chain fatty acids (SCFAs), dramatically increase cellular sensitivity to estrogens, progestins, and other nuclear hormone receptor ligands. These compounds do not mimic endogenous hormones but rather act to enhance the transcriptional efficacy of ligand activated nuclear hormone receptors by up to 8-fold in vitro and in vivo. Detailed characterization of their mode of action revealed that these SCFAs function as both activators of p42/p44 mitogen-activated protein kinase and as inhibitors of histone deacetylases at doses that parallel known exposure levels. Our results define a class of compounds that possess a dual mechanism of action and function as hormone sensitizers. These findings prompt an evaluation of previously unrecognized drug-drug interactions in women who are administered exogenous hormones while exposed to certain xenobiotic SCFAs. Furthermore, our study highlights the need to structure future screening programs to identify additional hormone sensitizers.

Acetates↗

Histologically normal human mammary epithelia with silenced p16(INK4a) overexpress COX-2, promoting a premalignant program.

Breast tissue from healthy women contains variant mammary epithelial cells (vHMEC) exhibiting p16INK4a promoter hypermethylation both in vivo and in vitro. When continuously cultured, vHMEC acquire telomeric dysfunction and produce the types of chromosomal abnormalities seen in premalignant lesions of cancer. We find that late passage vHMEC express elevated prostaglandin cyclo-oxygenase 2 (COX-2), which contributes to increased prostaglandin synthesis, angiogenic activity, and invasive ability. These data demonstrate the existence of human mammary epithelial cells with the potential to acquire multiple genomic alterations and phenotypes associated with malignant cells. Moreover, COX-2 overexpression coincides with focal areas of p16INK4a hypermethylation in vivo, creating ideal candidates as precursors to breast cancer. These putative precursors can be selectively eliminated upon exposure to COX-2 inhibitors in vitro.

Apoptosis↗

Overview on the application of transcription profiling using selected nephrotoxicants for toxicology assessment.

Microarrays allow for the simultaneous measurement of changes in the levels of thousands of messenger RNAs within a single experiment. As such, the potential for the application of transcription profiling to preclinical safety assessment and mechanism-based risk assessment is profound. However, several practical and technical challenges remain. Among these are nomenclature issues, platform-specific data formats, and the lack of uniform analysis methods and tools. Experiments were designed to address biological, technical, and methodological variability, to evaluate different approaches to data analysis, and to understand the application of the technology to other profiling methodologies and to mechanism-based risk assessment. These goals were addressed using experimental information derived from analysis of the biological response to three mechanistically distinct nephrotoxins: cisplatin, gentamicin, and puromycin aminonucleoside. In spite of the technical challenges, the transcription profiling data yielded mechanistically and topographically valuable information. The analyses detailed in the articles from the Nephrotoxicity Working Group of the International Life Sciences Institute Health and Environmental Sciences Institute suggest at least equal sensitivity of microarray technology compared to traditional end points. Additionally, microarray analysis of these prototypical nephrotoxicants provided an opportunity for the development of candidate bridging biomarkers of nephrotoxicity. The potential future extension of these applications for risk assessment is also discussed.

Animals↗

Identification of platform-independent gene expression markers of cisplatin nephrotoxicity.

Within the International Life Sciences Institute Committee on Genomics, a working group was formed to focus on the application of microarray technology to preclinical assessments of drug-induced nephrotoxicity. As part of this effort, Sprague-Dawley rats were treated with the nephrotoxicant cisplatin at doses of 0.3-5 mg/kg over a 4- to 144-hr time course. RNA prepared from these animals was run on a variety of microarray formats at multiple sites. A set of 93 differentially expressed genes associated with cisplatin-induced renal injury was identified on the National Institute of Environmental Health Sciences (NIEHS) custom cDNA microarray platform using quadruplicate measurements of pooled animal RNA. The reproducibility of this profile of statistically significant gene changes on other platforms, in pooled and individual animal replicate samples, and in an independent study was investigated. A good correlation in response between platforms was found among the 48 genes in the NIEHS data set that could be matched to probes on the Affymetrix RGU34A array by UniGene identifier or sequence alignment. Similar results were obtained with genes that could be linked between the NIEHS and Incyte or PHASE-1 arrays. The degree of renal damage induced by cisplatin in individual animals was commensurate with the number of differentially expressed genes in this data set. These results suggest that gene profiles linked to specific types of tissue injury or mechanisms of toxicity and identified in well-performed replicated microarray experiments may be extrapolatable across platform technologies, laboratories, and in-life studies.

Animals↗

Identification of putative gene based markers of renal toxicity.

This study, designed and conducted as part of the International Life Sciences Institute working group on the Application of Genomics and Proteomics, examined the changes in the expression profile of genes associated with the administration of three different nephrotoxicants--cisplatin, gentamicin, and puromycin--to assess the usefulness of microarrays in the understanding of mechanism(s) of nephrotoxicity. Male Sprague-Dawley rats were treated with daily doses of puromycin (5-20 mg/kg/day for 21 days), gentamicin (2-240 mg/kg/day for 7 days), or a single dose of cisplatin (0.1-5 mg/kg). Groups of rats were sacrificed at various times after administration of these compounds for standard clinical chemistry, urine analysis, and histological evaluation of the kidney. RNA was extracted from the kidney for microarray analysis. Principal component analysis and gene expression-based clustering of compound effects confirmed sample separation based on dose, time, and degree of renal toxicity. In addition, analysis of the profile components revealed some novel changes in the expression of genes that appeared to be associated with injury in specific portions of the nephron and reflected the mechanism of action of these various nephrotoxicants. For example, although puromycin is thought to specifically promote injury of the podocytes in the glomerulus, the changes in gene expression after chronic exposure of this compound suggested a pattern similar to the known proximal tubular nephrotoxicants cisplatin and gentamicin; this prediction was confirmed histologically. We conclude that renal gene expression profiling coupled with analysis of classical end points affords promising opportunities to reveal potential new mechanistic markers of renal toxicity.

Animals↗

Estrogen receptor-dependent genomic responses in the uterus mirror the biphasic physiological response to estrogen.

The physiological responses of the rodent uterus to acute estrogen (E) dosing can be divided into early and late events. Examples of early responses include increased RNA transcription, hyperemia, and water imbibition 2 and 6 h following E administration respectively, whereas later responses include cycles of DNA synthesis and mitosis of epithelial cells beginning 10 and 16 h after E. The development of estrogen receptor (ER) knockout (ERKO) mice, combined with microarray technology, has allowed us to design a genomic approach to study the acute response of the rodent reproductive tract to E. To determine whether early and late biological responses are correlated with altered regulation of a single set of genes or distinct sets of genes characteristic of early and late responses, uterine RNA was obtained from ovariectomized mice that were treated with vehicle or with estradiol for 2 h (early) or 24 h (late). Samples were also prepared from identically treated mice that lacked either ERalpha (alphaERKO) or ERbeta (betaERKO) to address the relative contributions of the ERs in the uterine responses. Microarray analysis of the relative expression of 8700 mouse cDNAs indicated distinct clusters of genes that were regulated both positively and negatively by E in the early or late phases as well as clusters of genes regulated at both times. Both early and late responses by the betaERKO samples were indistinguishable from those of WT samples, whereas the alphaERKO showed little change in gene expression in response to E, indicating the predominant role for ERalpha in the genomic response. Further studies indicated that the genomic responses in samples from intermediate time points (6 h, 12 h) fall within the early or late clusters, rather than showing unique clusters regulated in the intermediary period. The use of this genomic approach has illustrated how physiological responses are reflected in genomic patterns. Furthermore, the identification of functional gene families that are regulated by E in the uterus combined with the utilization of genetically altered experimental animal models can help to uncover and define novel mechanisms of E action.

Animals↗

Gene modulation by the cyclooxygenase inhibitor, sulindac sulfide, in human colorectal carcinoma cells: possible link to apoptosis.

The mechanisms underlying the anti-tumorigenic properties of cyclooxygenase inhibitors are not well understood. One novel hypothesis is alterations in gene expression. To test this hypothesis sulindac sulfide, which is used to treat familial adenomatous polyposis, was selected to detect gene modulation in human colorectal cells at physiological concentrations with microarray analysis. At micromolar concentrations, sulindac sulfide stimulated apoptosis and inhibited the growth of colorectal cancer cells on soft agar. Sulindac sulfide (10 microm) altered the expression of 65 genes in SW-480 colorectal cancer cells, which express cyclooxygenase-1 but little cyclooxygenase-2. A more detailed study of 11 genes revealed that their expression was altered in a time- and dose-dependent manner as measured by real-time RT-PCR. Northern analysis confirmed the expression of 9 of these genes, and Western analysis supported the conclusion that sulindac sulfide altered the expression of these proteins. Cyclooxygenase-deficient HCT-116 cells were more responsive to sulindac sulfide-induced gene expression than SW-480 cells. However, this response was diminished in HCT-116 cells overexpressing cyclooxygenase-1 compared with normal HCT-116 cells suggesting the presence of cyclooxygenase attenuates this response. However, prostaglandin E2, the main product of cyclooxygenase, only suppressed the sulindac sulfide-induced expression of two genes, with little known biological function while it modulated the expression of two more. The most likely explanation for this finding is the metabolism of sulindac sulfide to inactive metabolites by the peroxidase activity of cyclooxygenase. In conclusion, this is the first report showing sulindac sulfide, independent of cyclooxygenase, altered the expression of several genes possibly linked to its anti-tumorigenic and pro-apoptotic activity.

Anti-Inflammatory Agents, Non-Steroidal↗

Gene selection and clustering for time-course and dose-response microarray experiments using order-restricted inference.

We propose an algorithm for selecting and clustering genes according to their time-course or dose-response profiles using gene expression data. The proposed algorithm is based on the order-restricted inference methodology developed in statistics. We describe the methodology for time-course experiments although it is applicable to any ordered set of treatments. Candidate temporal profiles are defined in terms of inequalities among mean expression levels at the time points. The proposed algorithm selects genes when they meet a bootstrap-based criterion for statistical significance and assigns each selected gene to the best fitting candidate profile. We illustrate the methodology using data from a cDNA microarray experiment in which a breast cancer cell line was stimulated with estrogen for different time intervals. In this example, our method was able to identify several biologically interesting genes that previous analyses failed to reveal.

Algorithms↗

Novel consensus DNA-binding sequence for BRCA1 protein complexes.

Increasing evidence continues to emerge supporting the early hypothesis that BRCA1 might be involved in transcriptional processes. BRCA1 physically associates with more than 15 different proteins involved in transcription and is paradoxically involved in both transcriptional activation and repression. However, the underlying mechanism by which BRCA1 affects the gene expression of various genes remains speculative. In this study, we provide evidence that BRCA1 protein complexes interact with specific DNA sequences. We provide data showing that the upstream stimulatory factor 2 (USF2) physically associates with BRCA1 and is a component of this DNA-binding complex. Interestingly, these DNA-binding complexes are downregulated in breast cancer cell lines containing wild-type BRCA1, providing a critical link between modulations of BRCA1 function in sporadic breast cancers that do not involve germline BRCA1 mutations. The functional specificity of BRCA1 tumor suppression for breast and ovarian tissues is supported by our experiments, which demonstrate that BRCA1 DNA-binding complexes are modulated by serum and estrogen. Finally, functional analysis indicates that missense mutations in BRCA1 that lead to subsequent cancer susceptibility may result in improper gene activation. In summary, these findings establish a role for endogenous BRCA1 protein complexes in transcription via a defined DNA-binding sequence and indicate that one function of BRCA1 is to co-regulate the expression of genes involved in various cellular processes.

BRCA1 Protein↗

Tamoxifen functions as a molecular agonist inducing cell cycle-associated genes in breast cancer cells.

Tamoxifen is a widely used breast cancer therapeutic and preventative agent. Although functioning as an estrogen antagonist at the cellular level, transcriptional profiling revealed that at the molecular level, tamoxifen functions largely as an agonist, virtually recapitulating the gene expression profile induced in breast cancer cells by estrogen. Remarkably, tamoxifen induces transcription factors and genes involved in promoting cell cycle progression including fos, myc, myb, cdc25a, cyclins E and A2, and stk15 with kinetics that paralleled that of cells cycling in response to estrogen, even though tamoxifen-treated cells are not transiting through the cell cycle. Induction of cell cycle-associated genes was specific for tamoxifen, and did not occur with raloxifene. However, cyclin D1 was a key estrogen-induced gene not expressed in response to tamoxifen or raloxifene but constitutively expressed in tamoxifen-resistant cells.

Antineoplastic Agents↗

Genomic interrogation of mechanism(s) underlying cellular responses to toxicants.

Assessment of the impact of xenobiotic exposure on human health and disease progression is complex. Knowledge of mode(s) of action, including mechanism(s) contributing to toxicity and disease progression, is valuable for evaluating compounds. Toxicogenomics, the subdiscipline which merges genomics with toxicology, holds the promise to contributing significantly toward the goal of elucidating mechanism(s) by studying genome-wide effects of xenobiotics. Global gene expression profiling, revolutionized by microarray technology and a crucial aspect of a toxicogenomic study, allows measuring transcriptional modulation of thousands of genes following exposure to a xenobiotic. We use our results from previous studies on compounds representing two different classes of xenobiotics (barbiturate and peroxisome proliferator) to discuss the application of computational approaches for analyzing microarray data to elucidate mechanism(s) underlying cellular responses to toxicants. In particular, our laboratory demonstrated that chemical-specific patterns of gene expression can be revealed using cDNA microarrays. Transcript profiling provides discrimination between classes of toxicants, as well as, genome-wide insight into mechanism(s) of toxicity and disease progression. Ultimately, the expectation is that novel approaches for predicting xenobiotic toxicity in humans will emerge from such information.

Computational Biology↗

Alterations in apoptotic signaling in human idiopathic cardiomyopathic hearts in failure.

Dilated cardiomyopathy, a disease of unknown etiology and pathogenesis, is associated with heart failure and compensatory hypertrophy. Although cell and animal models suggest a role for altered gene expression in the transition to heart failure, there is a paucity of data derived from the study of human heart tissue. In this study, we used DNA microarray profiling to investigate changes in the expression of genes involved in apoptosis that occur in human idiopathic dilated cardiomyopathic hearts that had progressed to heart failure. We observed altered gene expression consistent with a proapoptotic shift in the TNF-alpha signaling pathway. Specifically, we found decreased expression of TNF-alpha- and NF-kappaB-induced antiapoptotic genes such as growth arrest and DNA damage-inducible (GADD)45beta, Flice inhibitory protein (FLIP), and TNF-induced protein 3 (A20). Consistent with a role for apoptosis in heart failure, we also observed a significant decrease in phosphorylation of BAD at Ser-112. This study identifies several pathways that are altered in human heart failure and provides new targets for therapy.

Adult↗

Mot1 activates and represses transcription by direct, ATPase-dependent mechanisms.

Mot1 is an essential yeast Snf2/Swi2-related ATPase that exerts both positive and negative effects on gene expression. In vitro, Mot1 can disrupt TATA-binding protein-DNA complexes in an ATP-dependent reaction. This activity can explain Mot1-mediated transcriptional repression, but how Mot1 activates transcription is unknown. We demonstrate that, remarkably, Mot1 is localized in vivo to promoters for both Mot1-repressed and Mot1-activated genes. Moreover, Mot1 ATPase activity is required for both activation and repression of gene activity. These findings suggest a novel function for the Mot1 ATPase at activated genes, perhaps involving ATP-driven reorganization of the preinitiation complex. Mot1 regulates the expression of approximately 3% of yeast genes in cells grown in rich medium. Most of these genes are repressed by Mot1, consistent with Mot1's ATP-dependent TATA-binding protein-DNA dissociating activity. Additionally, approximately 77% of the Mot1-repressed genes are involved in the diauxic shift, stress response, mating, or sporulation. The gene sets controlled by NC2 and Srb10 are strongly correlated with the Mot1-controlled set, suggesting that these factors cooperate in transcriptional control on a global scale.

Adenosine Triphosphatases↗

Loss of expression and altered localization of KAI1 and CD9 protein are associated with epithelial ovarian cancer progression.

OBJECTIVE: Impairment of cell adhesion plays a vital role in tumor progression. E- and N-cadherin, CD9, and KAI1 are all adhesion molecules that have been implicated in the progression of several different tumor types. To help explain the potential role these adhesion molecules have in ovarian cancer, comparisons were made between expression patterns in normal ovary and various grades of primary and metastatic epithelial ovarian cancers. METHODS: Thirty-two primary and 8 metastatic human ovarian epithelial carcinomas and 18 samples of normal ovarian tissue were examined for adhesion molecule expression using immunohistochemistry. RESULTS: KAI1 and CD9 revealed an inverse relationship between tumor grade and expression levels, characterized by high expression in low-grade tumors and low expression in high-grade tumors and metastases. KAI1 and CD9 also demonstrated a shift in cellular localization from the membrane in grade 1 tumors to the cytoplasm in grade 3 tumors. N-cadherin expression showed a positive trend between expression levels and tumor grade. E-cadherin expression varied little between different tumor grades and metastases. Inclusion cysts (n = 6) and surface invaginations often strongly expressed KAI1, CD9, and E-cadherin. KAI1 expression was variable in ovarian follicles and corpora lutea depending on their stage of development. CONCLUSIONS: Although sample size is limited, these findings suggest that progression of ovarian epithelial carcinomas is associated with down-regulation and altered cellular localization of KAI1 and CD9. In addition, variable KAI1 expression during follicular and luteal development suggests that it has a physiological function in the ovary. Further investigation will be needed to see if it is also regulated this way during progression of ovarian cancers.

Antigens, CD↗