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The use of DNA microarrays for the analysis of complex biological samples is becoming a mainstream part of biomedical research. One of the most commonly used methods compares the relative abundance of mRNA in two different samples by probing a single DNA microarray simultaneously. The simplicity of this concept sometimes masks the complexity of capturing and processing microarray data. On the basis of the analysis of many of our microarray experiments, we identified the major causes of distortion of the microarray data and the sources of noise. In this study, we provide a systematic statistical approach for extraction of true expression ratios from raw microarray data, which we describe as an unfolding process. The results of this analysis are presented in the form of a model describing the relationship between the measured fluorescent intensities and the concentrations of mRNA transcripts. We developed and tested several algorithms for inference of the model parameters for the microarray data. Special emphasis is given to the statistical robustness of these algorithms, in particular resistance to outliers. We also provide methods for measurement of noise and reproducibility of the microarray experiments.

The analysis of the geologic record has revealed a question concerning how the Late Ordovician glaciation could have occurred simultaneously with high CO2 levels (10–18x). Sensitivity studies using a coupled atmosphere-ocean-sea ice model show that it is possible to maintain a permanent snow cover (which corresponds to 60% of all the glacial deposits found on Gondwana) under 10x CO2 levels, warm fall/cool spring orbital parameters, a 4.5% reduction in solar luminosity, a length of day of 21.5 hours, and an enhanced snow/sea ice albedo of 0.3. A cold summer orbit experiment with 10x CO2 and a reduced snow/sea ice albedo of 0.1 also sustains a permanent (albeit less extensive) snow cover. The geographic configuration of the Late Ordovician results in an up to ∼42% increase in the global ocean poleward heat transport in the Southern Hemisphere relative to present-day and a significant asymmetry relative to the equator.

Optimization procedures require adequate criteria to assess the quality of the separation. So far, the vast majority of reports on the subject deal with the situation in which all peaks need to be separated ('complete optimization'). In practice one of the most important requirements for optimization criteria is their ability to deal with limited optimization, i.e. with situations in which only a limited number of solutes in a sample is relevant. In this paper, the adaptation of the most widely used optimization criteria to limited optimization is discussed. Among the most useful criteria are the minimum resolution and the calibrated normalized resolution product. The characteristics and objectives of these two criteria are discussed in detail. The case of non-ideal separations (featuring asymmetrical peaks and/or peaks of vastly different areas) is also investigated. The discussion and evaluation of optimization criteria are based on simulated and experimental data obtained during HPLC optimization studies.

An approach is described that allows the ultimate ruggedness of chromatographic methods to be rigorously included as an objective from the outset of systematic method development. Ruggedness criteria are defined as derivatives of other (typically resolution-based) criteria. Numerical estimates of ruggedness criteria can readily be obtained during selectivity optimization. It is necessary to consider ruggedness simultaneously with other objectives of the separation using multi-criteria decision making (MCDM) procedures. Three MCDM methods were considered in this work, viz., Pareto-optimality (PO) plot, Derringer's desirability function and the multiple threshold approach (MTA), The characteristics of these three methods are discussed and the feasibility of developing rugged separations by systematically varying the pH acid solvent composition is demonstrated.

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Objective — To evaluate Diabeto, a computer-assisted diet education system. Research Design And Methods — One hundred five patients with insulin-dependent diabetes mellitus (IDDM) or non-insulin-dependent diabetes mellitus (NIDDM) were divided into two randomized groups to participate in the evaluation of Diabeto. With free access through Minitel, the French public videotex network, Diabeto helps diabetic patients self-monitor their diets and balance their meals with personalized counseling. Results — During the first 6-mo study, group A (54 patients) used Diabeto, whereas group B (51 patients) were control subjects. For the second 6-mo study, group B used the system. Evaluation was based on patients' dietetic knowledge, dietary habits, and metabolic balance. Conclusions –Diabeto led to a significant improvement of dietetic, knowledge in group A (P < 0.0005) and also to improved dietary habits; decreased caloric intake in patients initially overeating (P < 0.05), increase of dietary carbohydrate from 39.7 ± 0.7 to 42.9 ± 0.9% in patients with an initial intake 35% fat (P < 0.0005). In the second study, in addition to similar improvements to those observed in the first study, HbA1 decreased from 11.0 ± 0.4 to 9.9 ± 0.4% (P < 0.005) and fructosamine from 5.00 ± 0.17 to 4.57 ± 0.17% (P < 0.001). Diabeto appears to be an effective therapeutic tool in the control of metabolic diseases.

The lack of reliable early detection of ovarian cancer and the absence of specific symptoms result in diagnosis of ovarian cancer at advanced stage in the majority of the patients. Through gene expression profiling we can identify important genes that may help understand the evolution from normal ovarian tissue to ovarian cancer. The gene expression profiles of 7 normal ovaries and 26 ovaries with serous epithelial ovarian cancer (SEOC) were examined by cDNA microarrays using supervised and unsupervised analysis, with sequential significance filtering. Real-time RT-PCR was used to measure and compare the expression levels of 5 selected genes: WAP four-disulfide core domain protein HE4 (WAP, up-regulated), secreted phosphoprotein 1 (SPP1, osteopontin; up-regulated), activin A receptor, type I (ACVR1, up-regulated), tumor necrosis factor (TNF superfamily, member 2; TNF, up-regulated) and decorin (DCN, down-regulated) in 4 epithelial scrapings and in 6 bulk-extracted normal ovaries. The gene expression profile of SEOC was not dependent on the stage of the disease at diagnosis. A supervised microarray data analysis identified a subset of 329 genes showing significant differential expression between SEOC samples and bulk normal ovarian tissue and ovarian surface scrapings, including several new genes such as TNFalpha and activin A receptor type I. The real-time RT-PCR for the up-regulated genes did not differ significantly between normal ovarian epithelial scrapings and bulk-extracted ovaries. However, decorin showed a statistically significant difference (P=0.0073) in expression between epithelial scrapings and bulk-extracted ovaries. Previously uncharacterized genes are associated with the malignant phenotype of SEOC. Bulk normal ovarian tissue may serve as control for SEOC tissue in gene expression profiling. Gene expression profiling and sequential statistical analyses of gene subsets can identify new genes and molecular pathways affecting development of SEOC. The genes of interest can be potential targets for future research of SEOC.

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Administration of doxorubicin has been shown to prolong survival of patients with hepatocellular carcinoma (HCC). However, treatment regimen is often complicated by the emergence of drug resistance. The goal of our study is to enhance our understanding on the genetic changes that confer cellular chemoresistance to doxorubicin. To model this insensitive response, we established five doxorubicin-resistant (DOR) sublines through repeated exposure of escalating doses of doxorubicin to HCC cell lines (HKCI-2, -3, -4, -C1 and -C2). The DOR sublines developed displayed an average approximately 17-fold higher IC(50) value than their sensitive parental cell lines. The resistant phenotype displayed was investigated by the genome-wide analyses of comparative genomic hybridization (CGH) and complementary DNA microarray for the affected genomic anomalies and deregulated genes expressed, respectively. Over-representations of regional chr. 7q11-q21, 8q22-q23 and 10p13-pter were indicated in the DOR sublines from CGH analysis. Of particular interest was the finding of amplicon augmentations from regional or whole chromosome gains during the clonal expansion of resistant sublines. Most notably, recurring amplicon 7q11.2-q21 identified coincided with the location of the multi-drug-resistant gene, MDR1. The potential involvement of MDR1 was examined by quantitative reverse transcription-polymerase chain reaction RT-PCR (qRT-PCR), which indicated an upregulation in all DOR sublines (P=0.015). Consistent overexpression of the translated MDR1 gene, P-glycoprotein, in all five DOR sublines was further confirmed in Western blot analysis. Two distinct cluster dendrograms were achieved between the DOR sublines and their sensitive parental counterparts in expression profiling. Within the doxorubicin-resistant group, distinct features of candidate genes overexpressions including ABC transporting proteins, solute carriers and TOP2A were suggested. Further assessment of TOP2A messenger RNA levels by qRT-PCR confirmed array findings and pinpointed to a common up-regulation of TOP2A in DOR sublines. Our present study highlighted areas of genomic imbalances and candidate genes in the acquired doxorubicin-resistance behavior of HCC cells.

Treatment with IFN-alpha therapy has been shown to exhibit antitumor effects on patients with hepatocellular carcinoma (HCC). However, individual responses remained unpredictable because of the frequent presence of intrinsic or acquired IFN-alpha resistance. Hence, delineation of molecular targets implicated in the resistant pathway holds value in refining the therapeutic benefits of IFN-alpha.The current study analyzed the effect of IFN-alpha in human HCC cells. Three hepatitis C virus (HCV)-related, five hepatitis B virus (HBV)-related and two non-B non-C-related cell lines were subjected to IFN-alpha treatment and the cytotoxic effect on cell viability was measured. Further analysis by cDNA microarray and quantitative reverse transcription-PCR were conducted to examine the gene expression changes that mediated the IFN-alpha resistance observed.According to the IC(50) values determined, HCV-related cell lines indicated distinct resistance (IC(50), 389-1468 units/mL) compared with the HBV-related (IC(50), 11-77 units/mL) and non-B non-C-related cell lines (IC(50), 24-108 units/mL). Unsupervised hierarchical clustering on array data indicated three HCV-related cell lines to cluster independently from the sensitive cell lines, suggesting discrete features in association with IFN-alpha tolerance. Moreover, Significance Analysis of Microarrays analysis indicated the differential expression of 149 expressed sequence tags that represented 51 up-regulated and 98 down-regulated genes in the resistant cell lines. Comparing the temporal pattern of gene expression between 6- and 24-hour treatments, candidate genes that were considerably induced with time were further highlighted in the tolerant HCV-related cell lines. These candidates were verified by quantitative reverse transcription-PCR, which confirmed the down-regulation of UBA2, ZNF185, and FOXF1 and up-regulation of UBE4B in the drug-tolerant cells.Our present study showed that the insensitivity to IFN-alpha therapy in HCC cells is associated with drug-inducible transcriptional alterations. Furthermore, our investigation highlighted potential candidate genes in conferring an anti-apoptotic effect toward IFN-alpha treatment.

Chromosomal rearrangements unraveled by spectral karyotyping (SKY) indicated frequent chromosome 19 translocations in hepatocellular carcinoma (HCC). In an effort to characterize the aberrant 19 rearrangements in HCC, we performed positional mapping by fluorescence in-situ hybridization (FISH) in 10 HCC cell lines. SKY analysis indicated structural rearrangements of chromosome 19 in 6 cell lines, 4 of which demonstrated recurring 19p translocations with different partner chromosomes. Using fluorescence-labeled BAC probes, physical mapping indicated a breakpoint cluster between 19p13.12 and 19p12. A corresponding transcriptional mapping by cDNA array on 19p suggested the differential expression of a single downregulated gene ACP5 (tartrate-resistant acid phosphatase type 5). Quantitative RT-PCR confirmed the reduced expression of ACP5 and indicated a strong correlation of its repressed expression only in cell lines that contain a 19p rearrangement (p = 0.004). We further examined the expression of ACP5 in a cohort of 82 primary tumors and 74 matching nonmalignant liver tissues. In the primary HCC examined, a reduction of ACP5 transcripts by 2 to as much as 1,000-fold was suggested in 67% of tumors (55/82 cases). When compared to adjacent nonmalignant tissues, 46% of tumors (34/74 cases) demonstrated a lower expression level (p = 0.015). On closer examination, a high significance of ACP5 repression was suggested in the cirrhotic HCC subgroup that was derived from chronic hepatitis B infected patients (55%; 30/54 cases; p = 0.001). Functional examination of ACP5 ectopic expression in HCC cells further demonstrated a significant growth inhibitory effect of ACP5 on tumor cell survival (p < 0.001). In our study, the novel finding of common ACP5 downregulation in HCC may provide basis for further investigations on the role of acid phosphatase in hepatocarcinogenesis.

Despite a prolongation of patient survival, the overall response of doxorubicin (DX) treatment on patients with hepatocellular carcinoma (HCC) remains modest. This is largely attributed to the development of tumor drug resistance either at the onset or during the course of treatment. To investigate the genetic changes associated with DX chemo-resistance, we examined the cytotoxic effect of DX on a panel of 9 HCC cell lines (HepG2, Hep3B, PLC/PRF/5, and six in-house established, HKCI-1, 2, 3 and 4, C1 and C2). The karyotypic abnormalities were examined by spectral karyotyping (SKY) and the chromosome loci defined were investigated for underlying deregulated genes by positional expression profiling. Quantitative RT-PCR was employed to verify the profiling findings, and also used to examine a number of drug resistance-related candidate genes (MDR1, MRP1, MGMT, PTEN, BCL2, BAX, TP53 and P21). Our results indicated that the cytotoxic effect of DX in cell lines exhibited IC50 values that ranged from sensitive to resistant (0.07 to 3.55 microM). While the overall chromosome aneuploidy did not correlate with DX resistance, aberrations on chromosome 10 demonstrated significant correlation with increasing IC50 (p=0.007). Positional profiling further suggested the consistent down-regulation of CGI-18 and ECHS1 on chromosome 10q. The array findings were substantiated by quantitative RT-PCR, which further pointed to a repressed ECHS1 expression in correlation with DX resistance (p=0.021). Among the candidate genes studied, an inverse relationship of P21 (p=0.034) and BAX (p=0.002) expression with DX resistance was also indicated. Our present study highlights the usefulness of multimodality approaches in identifying genetic markers, and further describes the novel finding of ECHS1 down-regulation in the DX chemo-resistance of HCC.

Genome-wide monitoring of gene expression using DNA microarrays represents one of the latest breakthroughs in experimental molecular biology and provides unprecedented opportunity to explore the biological processes underlying human diseases by providing a comprehensive survey of a cell's transcriptional landscape. In the cancer field, this revolutionary technology allows the simultaneous assessment of the transcription of tens of thousands of genes, and of their relative expression between normal cells and malignant cells. As microarray analysis emerges from its infancy, there is widespread hope that microarrays will significantly impact on our ability to explore the genetic changes associated with cancer etiology and development, and ultimately lead to the discovery of new biomarkers for disease diagnosis and prognosis prediction, and of new therapeutic tools. This review provides an overview of microarray technology, specifically in the context of cancer research and describes some of its recent applications to the study of cancer. In addition, the challenges of translating microarray findings into molecular cancer diagnosis and prognosis tools, with the potential of altering clinical practice through individualized cancer care and ultimately of contributing to the battle against cancer, are discussed.

Background: A phase III multicenter randomized trial has been designed in order to address whether amifostine (WR-2721, Ethyol), an organic thiophosphate cytoprotector, can protect ovarian cancer patients from toxicity induced by carboplatin-paclitaxel chemotherapy. Patients and methods: Patients were randomly assigned to receive carboplatin [area under the curve (AUC) 5 mg.min/ml] and paclitaxel (175 mg/m 2 ) with (arm A) or without (arm B) amifostine (910 mg/m 2 ) every 21 days for six cycles. Results: One-hundred and eighty-seven patients were accrued: 93 patients in arm A and 94 patients in arm B. There was no difference in terms of erythrocytopenia between the two arms; grade 3-4 thrombocytopenia was higher in arm A (3.3% versus 0.6%; P = 0.0010). There was no significant reduction of grade 3-4 leukopenia in arm A (11.8% versus 13.8%). The incidence of grade 3-4 neutropenia was lower in arm A (31.3% versus 37.9%; P = 0.03), as was the incidence of severe mucositis (4.7% versus 15.4% in arm A versus arm B, respectively; P

Molecular diagnostics is a rapidly advancing field in which insights into disease mechanisms are being elucidated by use of new gene-based biomarkers. Until recently, diagnostic and prognostic assessment of diseased tissues and tumors relied heavily on indirect indicators that permitted only general classifications into broad histologic or morphologic subtypes and did not take into account the alterations in individual gene expression. Global expression analysis using microarrays now allows for simultaneous interrogation of the expression of thousands of genes in a high-throughput fashion and offers unprecedented opportunities to obtain molecular signatures of the state of activity of diseased cells and patient samples. Microarray analysis may provide invaluable information on disease pathology, progression, resistance to treatment, and response to cellular microenvironments and ultimately may lead to improved early diagnosis and innovative therapeutic approaches for cancer.

Analysis of ovarian carcinomas has shown that karyotypes are often highly abnormal and cannot be identified with certainty by conventional cytogenetic methods. In this study, 17 tumors derived from 13 patients were analyzed by a combination of spectral karyotyping (SKY), comparative genomic hybridization (CGH), and expression microarrays. Within the study group, a total of 396 chromosomal rearrangements could be identified by SKY and CGH analysis. When the distribution of aberrations was normalized with respect to relative genomic length, chromosomes 3, 8, 11, 17, and 21 had the highest frequencies. Parallel microarray expression studies of 1718 human cDNAs were used to analyze expression profiles and to determine whether correlating gene expression with chromosomal rearrangement would identify smaller subsets of differentially expressed genes. Within the entire set of samples, microarray expression analysis grouped together poorly differentiated tumors irrespective of histological subtype. For three patients, a comparison between genomic alterations and gene expression pattern was performed on samples of primary and metastatic tumors. Their common origin was demonstrated by the close relationship of both the SKY and CGH karyotypes and the observed profiles of gene expression. In agreement with the pattern of genomic imbalance observed for chromosome 3 in ovarian cancer, the relative expression profile with respect to a normal ovary exhibited a contiguous pattern of reduced expression of genes mapping to the 3p25.5-3p21.31 and increased expression of genes from 3q13.33-3q28. This study demonstrates that SKY, CGH, and microarray analysis can in combination identify significantly smaller subsets of differentially expressed genes for future studies.

AFX-like Forkhead transcription factors, which are controlled by phosphatidylinositol 3-kinase (PI3K)/protein kinase B (PKB) signaling, are involved in regulating cell cycle progression and cell death. Both cell cycle arrest and induction of apoptosis are mediated in part by transcriptional regulation of p27(kip1). Here we show that the Forkheads AFX (FOXO4) and FKHR-L1 (FOXO3a) also directly control transcription of the retinoblastoma-like p130 protein and cause upregulation of p130 protein expression. Detailed analysis of p130 regulation demonstrates that following Forkhead-induced cell cycle arrest, cells enter G(0) and become quiescent. This is shown by a change in phosphorylation of p130 to G(0)-specific forms and increased p130/E2F-4 complex formation. Most importantly, long-term Forkhead activation causes a sustained but reversible inhibition of proliferation without a marked increase in apoptosis. As for the activity of the Forkheads, we also show that protein levels of p130 are controlled by endogenous PI3K/PKB signaling upon cell cycle reentry. Surprisingly, not only nontransformed cells, but also cancer cells such as human colon carcinoma cells, are forced into quiescence by Forkhead activation. We therefore propose that Forkhead inactivation by PKB signaling in quiescent cells is a crucial step in cell cycle reentry and contributes to the processes of transformation and regeneration.

Virus infection induces an antiviral response that is predominantly associated with the synthesis and secretion of soluble interferon. Here, we report that herpes simplex virus type 1 virions induce an interferon-independent antiviral state in human embryonic lung cells that prevents plaquing of a variety of viruses. Microarray analysis of 19,000 human expressed sequence tags revealed induction of a limited set of host genes, the majority of which are also induced by interferon. Genes implicated in controlling the intracellular spread of virus and eliminating virally infected cells were among those induced. Induction of the cellular response occurred in the absence of de novo cellular protein synthesis and required viral penetration. In addition, this response was only seen when viral gene expression was inhibited, suggesting that a newly synthesized viral protein(s) may function as an inhibitor of this response.

Interleukin-3 (IL-3), IL-5, and granulocyte-macrophage colony-stimulating factor regulate the survival, proliferation, and differentiation of hematopoietic lineages. Phosphatidylinositol 3-kinase (PI3K) has been implicated in the regulation of these processes. Here we investigate the molecular mechanism by which PI3K regulates cytokine-mediated proliferation and survival in the murine pre-B-cell line Ba/F3. IL-3 was found to repress the expression of the cyclin-dependent kinase inhibitor p27(KIP1) through activation of PI3K, and this occurs at the level of transcription. This transcriptional regulation occurs through modulation of the forkhead transcription factor FKHR-L1, and IL-3 inhibited FKHR-L1 activity in a PI3K-dependent manner. We have generated Ba/F3 cell lines expressing a tamoxifen-inducible active FKHR-L1 mutant [FKHR-L1(A3):ER*]. Tamoxifen-mediated activation of FKHR-L1(A3):ER* resulted in a striking increase in p27(KIP1) promoter activity and mRNA and protein levels as well as induction of the apoptotic program. The level of p27(KIP1) appears to be critical in the regulation of cell survival since mere ectopic expression of p27(KIP1) was sufficient to induce Ba/F3 apoptosis. Moreover, cell survival was increased in cytokine-starved bone marrow-derived stem cells from p27(KIP1) null-mutant mice compared to that in cells from wild-type mice. Taken together, these observations indicate that inhibition of p27(KIP1) transcription through PI3K-induced FKHR-L1 phosphorylation provides a novel mechanism of regulating cytokine-mediated survival and proliferation.

Cell death is regulated mainly through an evolutionarily conserved form of cell suicide termed apoptosis [1]. Deregulation of apoptosis has been associated with cancer, autoimmune diseases and degenerative disorders. Many cells, particularly those of the hematopoietic system, have a default program of cell death and survival that is dependent on the constant supply of survival signals. The Bcl-2 family, which has both pro- and anti-apoptotic members, plays a critical role in regulating cell survival [2]. One family member, the Bcl-2 interacting mediator of cell death (Bim), contains only a protein-interaction motif known as the BH3 domain, allowing it to bind pro-survival Bcl-2 molecules, neutralizing their function [3]. Disruption of the bim gene results in resistance to apoptosis following cytokine withdrawal in leukocytes, indicating that regulation of the pro-apoptotic activity of Bim is critical for maintenance of the default apoptotic program [4]. Here, we report that withdrawal of cytokine results in upregulation of Bim expression concomitant with induction of the apoptotic program in lymphocytes. Activation of the forkhead transcription factor FKHR-L1, previously implicated in regulation of apoptosis in T lymphocytes [5], was sufficient to induce Bim expression. We propose a mechanism by which cytokines promote lymphocyte survival by inhibition of FKHR-L1, preventing Bim expression.

Pendant les vingt dernières années, le climat terrestre a connu les deux El Niños les plus importants du vingtième siècle, soit en 1982 et en 1997. De plus, les observations climatiques suggèrent une augmentation non seulement en intensité mais aussi en fréquence des épisodes 'chauds' de "l' El Niño - Southern Oscillation" (ENSO) ainsi qu'une diminution en fréquence des épisodes 'froids' (La Niña) depuis 1976. Dans un contexte où la communauté scientifique se questionne intensément sur l'impa...