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At least 631 records · Page 35Linked to original sources
PubMed2006

Transcriptomic analysis of an in vitro murine model of ovarian carcinoma: functional similarity to the human disease and identification of prospective tumoral markers and targets.

Ovarian cancer is an aggressive disease of poor prognostic when detected at advanced stage. It is widely accepted that the ovarian surface epithelium plays a central role in disease etiology, but little is known about disease progression at the molecular level. To identify genes involved in ovarian tumorigenesis, we carried out a genome-wide transcriptomic analysis of six spontaneously transformed mouse ovarian surface epithelial (MOSE) cell lines, an in vitro model for human ovarian carcinoma. Loess normalization followed by statistical analysis with control of multiple testing resulted in 509 differentially expressed genes using an adjusted P-value < or = 0.05 as cut-off. The top 20 differentially expressed genes included 10 genes (Spp1, Cyp1b1, Btg1, Cfh, Mt1, Mt2, Igfbp5, Gstm1, Gstm2, and Esr1) implicated in various aspects of ovarian carcinomas, and other 3 genes (Gsto1, Lcn7, and Alcam) associated to breast cancer. Upon functional analysis, the majority of alterations affected genes involved in glutathione metabolism and MAPK signaling pathways. Interestingly, over 20% of the aberrantly expressed genes were related to extracellular components, suggestive of potential markers of disease progression. In addition, we identified the genes Pura, Cnn3, Arpc1b, Map4k4, Tgfb1i4, and Crsp2 correlated to in vivo tumorigenic parameters previously reported for these cells. Taken together, our findings support the utility of MOSE cells in studying ovarian cancer biology and as a source of novel diagnostic and therapeutic targets.

Animals↗
PubMed2006

Transcriptome profiling in clinical breast cancer: from 3D culture models to prognostic signatures.

Early detection has been one of the most effective strategies to control the growing cancer burden. The power of earlier detection has been demonstrated by the impact of pap-smear, mammography, and PSA tests on cancer patient treatment and survival. These tests benefit patients independent of their genetic background or race. However, in many cases, we are still losing the battle against cancer because patients that initially presented with low-grade disease progress rapidly to aggressive forms of the disease. As of yet, we have limited means to predict a particular patient's fate or to specifically treat subtypes of cancer. A combination of earlier detection and targeted therapy, based on information from transcriptome analysis, could be a powerful ally in this battle. The theme of this review article is to briefly summarize innovative strategies using three-dimensional (3D) cell cultures of human mammary epithelial cells to predict clinical outcome in breast cancer. This strategy has the potential to further enhance our understanding of breast cancer biology and to contribute to the identification of biologically significant bio-markers that are also useful drug targets.

Biomarkers, Tumor↗
PubMed2005

Loss of heterozygosity and transcriptome analyses of a 1.2 Mb candidate ovarian cancer tumor suppressor locus region at 17q25.1-q25.2.

Loss of heterozygosity (LOH) analysis was performed in epithelial ovarian cancers (EOC) to further characterize a previously identified candidate tumor suppressor gene (TSG) region encompassing D17S801 at chromosomal region 17q25.1. LOH of at least one informative marker was observed for 100 (71%) of 140 malignant EOC samples in an analysis of 6 polymorphic markers (cen-D17S1839-D17S785-D17S1817-D17S801-D17S751-D17S722-tel). The combined LOH analysis revealed a 453 kilobase (Kb) minimal region of deletion (MRD) bounded by D17S1817 and D17S751. Human and mouse genome assemblies were used to resolve marker inconsistencies in the D17S1839-D17S722 interval and identify candidates. The region contains 32 known and strongly predicted genes, 9 of which overlap the MRD. The reference genomic sequences share nearly identical gene structures and the organization of the region is highly collinear. Although, the region does not show any large internal duplications, a 1.5 Kb inverted duplicated sequence of 87% nucleotide identity was observed in a 13 Kb region surrounding D17S801. Transcriptome analysis by Affymetrix GeneChip and reverse transcription (RT)-polymerase chain reaction (PCR) methods of 3 well characterized EOC cell lines and primary cultures of normal ovarian surface epithelial (NOSE) cells was performed with 32 candidates spanning D17S1839-D17S722 interval. RT-PCR analysis of 8 known or strongly predicted genes residing in the MRD in 10 EOC samples, that exhibited LOH of the MRD, identified FLJ22341 as a strong candidate TSG. The proximal repeat sequence of D17S801 occurs 8 Kb upstream of the putative promoter region of FLJ22341. RT-PCR analysis of the EOC samples and cell lines identified DKFZP434P0316 that maps proximal to the MRD, as a candidate. While Affymetrix technology was useful for initially eliminating less promising candidates, subsequent RT-PCR analysis of well-characterized EOC samples was essential to prioritize TSG candidates for further study.

Chromosome Mapping↗
PubMed2006

Transcriptome profiling of the tubular porcine conceptus identifies the differential regulation of growth and developmentally associated genes.

Gastrulation and trophectoderm elongation of the porcine conceptus coincide with peak conceptus estrogen secretion from gestational day 11 to day 12. The current study aim was to identify genes required for elongation by defining the transcriptome profile of this dynamic tubular stage. The gastrulation and proliferative status of ovoid, tubular, and filamentous conceptuses were also examined. Polarization of the embryonic disc and growth throughout the conceptus were evident. An unamplified and two distinct amplified serial analysis of gene expression (SAGE) libraries were generated from tubular conceptus mRNA. Comparing the three libraries at 12,000 tags/library indicated small-amplified RNA-SAGE was a reliable amplification procedure. The unamplified library was increased to 42,415 tags and statistical analyses of tag frequencies with previously generated ovoid and filamentous libraries revealed the differential expression (P < 0.05) of 483 and 364 tags between ovoid:tubular or tubular:filamentous libraries, respectively. Annotated transcripts known to be involved in development and also potentially regulated by estrogen (cytokeratins 8 and 18, stratifin, midkine, and glycolytic enzymes) were further analyzed by real-time PCR. The majority of glycolytic enzyme transcripts were constitutively expressed or downregulated at the filamentous stage. Likewise, cytokeratin mRNAs were less abundant in filamentous conceptuses, whereas stratifin and midkine were more abundant in tubular conceptuses. Analysis of protein revealed distinct expression patterns for cytokeratin 18, stratifin, and midkine. The function(s) of these factors and potential modulation by estrogen clearly needs to be elucidated to understand their physiological role in normal conceptus development.

Animals↗
PubMed2003

From transcriptome to proteome: differentially expressed proteins identified in synovial tissue of patients suffering from rheumatoid arthritis and osteoarthritis by an initial screen with a panel of 791 antibodies.

Global scale molecular profiling of diseased tissues is an important first step to unravel candidate target molecules that are involved in the pathogenesis of a disease. We have performed a comparative molecular characterization at the transcriptome (microarray with 12 526 gene specificities) and proteome level (multi-Western blot PowerBlot with 791 antibodies) of synovial tissue from rheumatoid arthritis (RA) compared to osteoarthritis (OA) patients. From the panel of 791 antibodies, 260 (33%) detected their corresponding protein. Out of 58 unambiguous changes at the protein level only 16 coincided at the transcript level (28%). Stat1, p47phox and manganese superoxide dismutase were shown to be reproducibly overexpressed in RA versus OA synovial tissue by Western blots with a panel of 8 RA versus 8 OA samples. Cathepsin D was among the most prominent proteins scored to be underexpressed in RA by the PowerBlot whereas no differences of the respective transcript were observed. The lower abundance of cathepsin D protein in RA compared to OA tissue was also reproduced in other patient samples. Immunohistochemistry assigned the Stat1 protein in RA synovial tissue mainly to macrophages and T lymphocytes and the p47phox protein in particular to macrophages. In conclusion, our approach provided us with new candidate molecules for further analysis of rheumatic diseases and stressed the importance of studies at the protein level.

Antibodies↗
PubMed2004

Intregrated analysis of the human cardiac transcriptome, proteome and phosphoproteome.

Altered expression of different classes of genes has been shown to differentiate between failing and nonfailing human hearts. However, characterization of proteins and the post-translational modifications that regulate their functions is required for understanding both the physiology of cardiac muscle and the mechanisms leading to pathological states associated with cardiac diseases. We present in this paper, an analysis of the human cardiac transcriptome, proteome and phosphoproteome. Data from two sources (i) experiments performed in our laboratory and (ii) bioinformatics searches of public databases (SWISS-PROT, NCBI, Cardiac Gene Expression Knowledge Base, Gene Ontology Consortium and Affymetrix) are reported in a relational database that allows user-designed specific queries. Microarray experiments were performed with Affymetrix Hu95Av2. Cardiac proteins were digested with trypsin. An 11 step cation exchange procedure produced fractions for analysis in separate reversed phase high-performance liquid chromatography-tandem mass spectrometry (MS/MS) experiments. Immobilized metal affinity chromatography was used to select the phosphopeptides from the same tryptic peptide mixture. They were then further investigated by MS/MS. Gel-free approaches were used to detect 267 proteins and 47 phosphopeptides. Our human cardiac database contains 447 entries. We propose the use of this platform, built with data derived from nonfailing hearts, as a template for initiating the effort to characterize the human cardiac proteome and its associated post-translational modifications.

Chromatography, Affinity↗
PubMed2005

Transcriptomic and proteomic responses of human renal HEK293 cells to uranium toxicity.

The industrial use of uranium, in particular depleted uranium, has pin-pointed the need to review its chemical impact on human health. Global methodologies, applied to the field of toxicology, have demonstrated their applicability to investigation of fine molecular mechanisms. This report illustrate the power of toxicogenomics to evaluate the involvement of certain genes or proteins in response to uranium. We particularly show that 25% of modulated genes concern signal transduction and trafficking, that the calcium pathway is heavily disturbed and that nephroblastomas-related genes are involved (WIT-1, STMN1, and STMN2). A set of 18 genes was deregulated whatever the concentration of toxicant, which could constitute a signature of uranium exposure. Moreover, a group of downregulated genes, with corresponding disappearing proteins (HSP90, 14-3-3 protein, HMGB1) in two-dimensional polyacrylamide gel electrophoresis (2-D PAGE), are good candidates for use as biomarkers of uranium effects. These results reveal a cross-checking between transcriptomic and proteomic technologies. Moreover, our temporal gene expression profiles suggest the existence of a concentration threshold between adaptive response and severe cell deregulation. Our results confirm the involvement of genes already described and also provide new highlights on cellular response to uranium.

Apoptosis↗
PubMed2005

Phosphoproteome and transcriptome analysis of the neuronal response to a CDK5 inhibitor.

In Alzheimer's disease and amyotrophic lateral sclerosis deregulation of cyclin-dependent kinase 5 (CDK5) causes hyperphosphorylation of tau and neurofilament proteins, respectively, leading to neuronal cell death. We have demonstrated recently that pharmacological inhibition of CDK5 protects neurons under various stressful conditions (Weishaupt J. H., et al., Molec. Cell. Neurosci. 2003, 24, 489-502). To get an overview on the cellular mechanisms of action we analyzed global changes in protein phosphorylation in cultured cerebellar granule neurons by [(32)P]orthophosphate labeling after administration of a CDK5 inhibitor. Since CDK5 has recently been shown to phosphorylate and inactivate transcription factor MEF2, we included gene expression profiling using cDNA microarrays. By two-dimensional gel electrophoresis and matrix assisted laser desorption/ionisation-time of flight (MALDI-TOF)-mass spectrometry we identified several phosphoproteins that were modulated by compound administration. Among them syndapin I which is involved in vesicle recycling, and dynein light intermediate chain 2 which represents a regulatory subunit of the dynein protein complex. These findings are consistent with the known physiological function of CDK5 in synaptic signaling and axonal transport. Moreover, we detected phosphoproteins acting in neuronal surival and/or neurite outgrowth, such as cofilin and collapsin response mediator protein. Subsequent testing in cell cultures revealed that the CDK5 inhibitor blocked mitochondrial translocation of pro-apoptotic cofilin in cerebellar granule neurons and enhanced neurite outgrowth in dorsal root ganglia. Numerous genes exhibiting MEF2 consensus binding sequences were modulated by CDK5 inhibitor treatment. Among them some that may contribute to neurite elongation or neuronal survival, but also several genes functioning in synaptic transmission. Taken together, phosphoproteome and transcriptome analysis indicate that the compound promotes both neuronal survival and neurite outgrowth, but also may affect synaptic function in cultured neurons.

Animals↗
PubMed2006

Questions and answers concerning applicability of proteomics and transcriptomics in EMF research.

The applicability of high-throughput screening techniques of transcriptomics, proteomics and metabolomics in the search for biological and health effects of electromagnetic fields is a hotly debated issue. On the one hand, use of these modern screening technologies speeds up the discovery process and gives broader insight into biochemical events that follow the exposure to electromagnetic fields. On the other hand these modern screening technologies have the problem of reproducibility and variability between experiments and are prone to produce false positive results. These and other issues concerning the applicability of modern screening technologies were the topic of a workshop held at STUK in 2005 (30 October to 1 November) in Helsinki, Finland, and this Report summarizes the discussions at this workshop.

Databases, Genetic↗
PubMed2005

The effect of higher order RNA processes on changing patterns of protein domain selection: a developmentally regulated transcriptome of type 1 inositol 1,4,5-trisphosphate receptors.

The domain structure of proteins synthesized from a single gene can be remodeled during tissue development by activities at the RNA level of gene expression. The impact of higher order RNA processing on changing patterns of protein domain selection may be explored by systematically profiling single-gene transcriptomes. itpr1 is one of three mammalian genes encoding receptors for the second messenger inositol 1,4,5-trisphosphate (InsP3). Some phenotypic variations of InsP3 receptors have been attributed to hetero-oligomers of subunit isoforms from itpr1, itpr2, and itpr3. However, itpr1 itself is subject to alternative RNA splicing, with 7 sites of transcript variation, 6 within the ORF. We have identified 17 itpr1 subunit species expressed in mammalian brain in ensembles that change with tissue differentiation. Statistical analyses of populations comprising >1,300 full-length clones suggest that subunit variation arises from a variably biased stochastic splicing mechanism. Surprisingly, the protein domains of this highly allosteric receptor appear to be assembled in a partially randomized way, yielding stochastic arrays of subunit species that form tetrameric complexes in single cells. Nevertheless, functional expression studies of selected subunits confirm that splicing regulation is connected to phenotypic variation. The potential for itpr1 subunits to form hetero-tetramers in single cells suggests the expression of a developmentally regulated continuum of molecular forms that could display diverse properties, including incremental sensitivities to agonist activation and varying patterns of Ca2+ mobilization. These studies illuminate the extent to which itpr1 molecular phenotype is induced by higher order RNA processing.

3' Untranslated Regions↗
PubMed2003

Transcriptome characterization of the dimorphic and pathogenic fungus Paracoccidioides brasiliensis by EST analysis.

Paracoccidioides brasiliensis is a pathogenic fungus that undergoes a temperature-dependent cell morphology change from mycelium (22 degrees C) to yeast (36 degrees C). It is assumed that this morphological transition correlates with the infection of the human host. Our goal was to identify genes expressed in the mycelium (M) and yeast (Y) forms by EST sequencing in order to generate a partial map of the fungus transcriptome. Individual EST sequences were clustered by the CAP3 program and annotated using Blastx similarity analysis and InterPro Scan. Three different databases, GenBank nr, COG (clusters of orthologous groups) and GO (gene ontology) were used for annotation. A total of 3,938 (Y = 1,654 and M = 2,274) ESTs were sequenced and clustered into 597 contigs and 1,563 singlets, making up a total of 2,160 genes, which possibly represent one-quarter of the complete gene repertoire in P. brasiliensis. From this total, 1,040 were successfully annotated and 894 could be classified in 18 functional COG categories as follows: cellular metabolism (44%); information storage and processing (25%); cellular processes-cell division, posttranslational modifications, among others (19%); and genes of unknown functions (12%). Computer analysis enabled us to identify some genes potentially involved in the dimorphic transition and drug resistance. Furthermore, computer subtraction analysis revealed several genes possibly expressed in stage-specific forms of P. brasiliensis. Further analysis of these genes may provide new insights into the pathology and differentiation of P. brasiliensis.

Base Sequence↗
PubMed2002

In silico comparison of the transcriptome derived from purified normal breast cells and breast tumor cell lines reveals candidate upregulated genes in breast tumor cells.

Genes that are differentially expressed in tumor tissues are potential diagnostic markers and drug targets. The DNA sequence information available in the public databases can be used to identify transcripts differentially expressed in cancer. We report here the combined use of the ORESTES sequences generated in the FAPESP/LICR Human Cancer Genome Project and information available in the UniGene and SAGE databases to characterize the transcriptome of normal and breast tumor cells. We have identified 154 genes as candidates for overexpression in breast tumor cells. Among these, 28 genes have been shown by others to be overexpressed in breast or other tumors. Using RT-PCR, we tested 11 candidate genes and found that 9 were indeed overexpressed in breast tumor cells.

Breast↗
PubMed2000

Transcriptome analysis of fibroblast cells immediate-early after human cytomegalovirus infection.

Human cytomegalovirus (HCMV) has been shown to have the potential to alter cellular gene expression early after infection. However, one-gene approaches and the use of closed system gene expression technologies have identified only few cellular genes whose activity changed immediate-early. We therefore used serial analysis of gene expression (SAGE) to investigate the transcriptional program of human fibroblasts in response to HCMV in the immediate-early phase of infection. Differential expression of various cellular genes was monitored. Transcriptional expression changes of genes coding for ribosomal proteins reflected a general cellular response to starvation and stress. But differential regulation of genes coding for transcription factors and proteins associated with cellular metabolism, homeostasis and cell structure may represent transcriptional alterations in response to HCMV infection. Expression kinetics by 5' nuclease fluorigenic real-time PCR of selected genes revealed partial protection of infected cells against initial stress-associated alterations of gene expression and indicated fluctuations of transcriptional levels over time. Additionally, agreement with the quantitative results obtained by SAGE was observed only for genes up-regulated in HCMV-infected cells. This finding pointed to various technical and statistical parameters that all may be critical for quantitative transcriptome studies using global approaches, especially when exploring biological systems in a critical phase of cellular physiology.

Cell Cycle↗
PubMed2005

Transcriptome analysis of human hepatic and pancreatic stellate cells: organ-specific variations of a common transcriptional phenotype.

Pancreatic stellate cells (PSCs) are thought to be the primary source of the extensive fibrotic reaction characteristic of pancreatic cancer and chronic pancreatitis in humans. PSCs share many morphological and functional characteristics with hepatic stellate cells (HSCs), whose central role in liver fibrosis is well established. However, it has remained unclear if hepatic and pancreatic stellate cells are derived from a common cell lineage and if they are completely similar or if they possess organ-specific features. We have analysed the transcriptomes of HSCs, PSCs and skin fibroblasts to assess how the transcriptional phenotype of stellate cells differs from that of a typical fibroblast lineage cell and if there is evidence for a common stellate cell precursor. To this end, we have performed expression profiling of primary cultures of human HSCs, PSCs and skin fibroblasts using 23,000-feature 'whole genome' oligonucleotide micro-arrays. Expression data were verified using real-time PCR. The expression profiles of HSCs and PSCs displayed a great extent of similarity, clearly separating them from the fibroblasts. Predominantly extracellular and cell surface genes, but also signalling molecules, transcription factors and novel neural markers, were concordantly expressed in both stellate cell types. Despite this high degree of similarity, distinct differences in expression patterns were observed between HSCs and PSCs, reflecting organ-specific variations of the common stellate cell-specific phenotype.

Cell Lineage↗
PubMed2003

A snapshot of the low temperature stress transcriptome of developing rice seedlings (Oryza sativa L.) via ESTs from subtracted cDNA library.

Rice (Oryza sativa L.) is sensitive to chilling particularly during early seedling development. Given the biochemical complexity of tolerance mechanisms, genetic potential for this trait depends on highly coordinated expression of many genes. We used a simple cDNA subtraction strategy to develop Expressed Sequence Tags (ESTs) that represent an important subset of cold stress-upregulated genes. The 3,084 subtracted cDNA clones represent a total of 1,967 unigenes from 1,354 singletons and 613 contigs. As expected in the developing seedlings, genes involved in basic cellular processes, i.e., metabolism, growth and development, protein synthesis, folding and destination, cellular transport, cell division and DNA replication were widely represented. Genes with stress-related and regulatory functions comprised 23.17% of the total ESTs. These categories included proteins with known function in cellular defenses against abiotic (drought, cold and salinity) and biotic (pathogen) stresses, and proteins involved in developmental and stress response signalling and transcription. Based on the types of genes represented, tolerance mechanisms rely on precise integration of developmental processes with stress-related responses. A large fraction of the ESTs (38.7%) represents unknown proteins. This EST library is a rich source of cold stress-related genes, and supplements for other publicly available libraries for comprehensive analysis of the stress-response transcriptome.

Cold Temperature↗
PubMed2006

Comparative transcriptome analyses of barley and rice under salt stress.

Although barley and rice belong to the same family Poaceae, they differ in their ability to tolerate salt stress. In an attempt to understand the molecular bases of such differences, we compared changes in transcriptome between barley and rice in response to salt stress using barley cDNA microarrays. At 1 and 24 h after salt stress, many genes were up-regulated in barley, but not in rice. Leaf water potential declined in the first 10 h of stress in both species, but recovered in the period 24-48 h only in barley. In addition, we found that barley partitioned Na+ to the roots and away from the shoots more efficiently than rice. These differences in physiological responses were correlated with the differences in the steady-state abundance of transcripts for the genes related to adaptive functions. Transcripts for plasma membrane protein 3 and inorganic pyrophosphatase were up-regulated in both species, but only transiently in rice. This indicates that adaptive mechanisms for regulating ion homeostasis are partly conserved in the two species, but it seems that rice cannot sustain cellular ion homeostasis for a long time like barley. These results imply that genetic modification of regulatory controls of early salt-responsive genes might lead to development of the salt tolerance trait in rice.

Gene Expression Regulation, Plant↗
PubMed2003

Transcriptome analysis of the Pseudomonas aeruginosa response to iron.

To successfully infect humans, Pseudomonas aeruginosa (Pa) must overcome the low iron availability in host tissues. A transcriptome comparison was carried out between iron-starved cells of Pa treated with iron and untreated controls. The present study is the first global analysis of the early transcriptional response of exponentially growing Pa to iron. Approximately 1.3% of the Pa genes displayed > or = 5.0-fold changes in mRNA levels in iron-treated cells. Treatment affected the mRNA levels of many genes required for iron acquisition as well as several genes with relevance to virulence previously known to be regulated by iron. More importantly, the analysis permitted identification of 107 Pa genes whose mRNA levels were not previously known to be affected by iron. These genes are good candidates for mutagenesis studies aimed at identifying novel functions relevant to iron metabolism in Pa. Some of these genes encode predicted siderophore receptors, iron transport systems, TonB-dependent receptors, regulatory proteins, and proteins relevant to virulence. Notably, 49 genes encode hypothetical or conserved hypothetical proteins of unknown function, suggesting that they are involved directly or indirectly in iron metabolism or metabolic adaptation to different iron-availability conditions.

Adaptation, Biological↗
PubMed2001

Proteome and transcriptome based analysis of Bacillus subtilis cells overproducing an insoluble heterologous protein.

Bacillus subtilis and related Bacillus species are frequently used as hosts for the industrial production of recombinant proteins. In this study the cellular response of B. subtilis to the overproduction of an insoluble heterologous protein was investigated. For this purpose PorA, an outer membrane protein from Neisseria meningitidis, which accumulates after overexpression in the cytoplasm of B. subtilis mainly in the form of inclusion bodies, was used. The molecular response to overexpression of porA has been analysed at the transcriptional level using the DNA macro array technique and at the translational level by two-dimensional polyacrylamide gel electrophoresis. It was found that the expression of the heat shock genes of class I (dnaK, groEL and grpE) and class III (clpP and clpC) are increased under overproducing conditions. Furthermore, the protein levels of the two ribosomal proteins RpsB and RplJ are increased in the PorA overproducing cells. The transcriptome analysis indicated that mRNA levels of genes encoding pyrimidine and purine synthesis enzymes but also from ribosomal protein genes have elevated levels under overproducing conditions. Finally, the association of the protease ClpP and its ATPase subunits ClpC and ClpX with the PorA inclusion bodies was demonstrated by means of the immunogold labelling technique.

Adenosine Triphosphatases↗