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At least 703 records · Page 39Linked to original sources
PubMed2004

Transcriptome analysis of quorum-sensing regulation and virulence factor expression in Pseudomonas aeruginosa.

The opportunistic pathogen Pseudomonas aeruginosa possesses two well-studied quorum-sensing (QS) systems (las and rhl) that are important in the production of virulence factors, antibiotic sensitivity, and biofilm development. High-density oligonucleotide microarrays were used to further characterize the las QS system and to investigate the effect of environment (planktonic or biofilm mode of growth, absence or presence of oxygen) and nutritional conditions on detection of transcripts encoding QS-regulated virulence factors. Transcriptome results indicate that the QS system is far more complex than previously proposed. Interestingly, we found that many QS-regulated genes encoding virulence products were expressed in all conditions investigated.

4-Butyrolactone↗
PubMed2005

The transcriptome of HCV replicon expressing cell lines in the presence of alpha interferon.

We have used DNA microarray analysis of human hepatoma and epithelial carcinoma cells expressing hepatitis C virus (HCV) subgenomic replicons to test whether HCV replication alters gene expression and influences the alpha interferon (IFN-alpha) response. We directly compared the HCV replicon system with a similar system based on a subgenomic replicon of the West Nile virus (WNV) subtype Kunjin virus. We found that in contrast to WNV replicons, persistent replication of HCV replicons did not significantly alter the transcriptome of infected cells nor did it inhibit the nature of the IFN-stimulated genes (ISGs). Our results also provided evidence for the existence of a small number of ISGs that could play a role in the inhibition of HCV replication by IFN-alpha. Finally, we identified ISGs that are activated by the cytokine in a cell-type specific fashion.

Cell Line↗
PubMed2006

Quantitative comparison of the HSV-1 and HSV-2 transcriptomes using DNA microarray analysis.

The genomes of human herpes virus type-1 and type-2 share a high degree of sequence identity; yet, they exhibit important differences in pathology in their natural human host as well as in animal host and cell cultures. Here, we report the comparative analysis of the time and relative abundance profiles of the transcription of each virus type (their transcriptomes) using parallel infections and microarray analysis using HSV-1 probes which hybridize with high efficiency to orthologous HSV-2 transcripts. We have confirmed that orthologous transcripts belong to the same kinetic class; however, the temporal pattern of accumulation of 4 transcripts (U(L)4, U(L)29, U(L)30, and U(L)31) differs in infections between the two virus types. Interestingly, the protein products of these transcripts are all involved in nuclear organization and viral DNA localization. We discuss the relevance of these findings and whether they may have potential roles in the pathological differences of HSV-1 and HSV-2.

Animals↗
PubMed2026

Genetic dissection of cardiac iron regulation using transcriptome network analysis and systems genetics in BXD mice.

Cardiac iron homeostasis is essential for myocardial energy metabolism and contractile function, yet the genetic and molecular mechanisms governing iron levels within the heart remain poorly understood. We used a systems genetics approach to dissect the transcriptional regulation of cardiac iron homeostasis. Myocardial iron level varies substantially across BXD strains (40-112 μg/g) and is under heritable genetic control (H2 = 0.38). Elevated cardiac iron is associated with reduced ventricular mass, increased ventricular ectopy, and prolonged atrioventricular conduction in the BXD population. Weighted gene co-expression network analysis of the BXD heart transcriptome identified a co-expression module that was significantly and negatively correlated with cardiac iron levels in both young and old BXD mice and enriched for pathways related to metabolic regulation, cyclic AMP (cAMP) signaling, circadian entrainment, and cardiovascular physiology. The module showed substantial overlap with a curated cardiac iron gene set, and cross-species enrichment analysis confirmed its conservation in human cardiomyopathy differentially expressed genes (enrichment ratio = 1.49; false discovery rate [FDR] = 0.0342). Quantitative trait locus (QTL) mapping of the first principal component of the overlapping module iron genes (n = 38), corroborated by individual gene mapping, identified trans-eQTL hotspots on multiple chromosomes, implicating Fcho2, Gcc2, and Rmdn1 as candidate upstream regulators operating through sequential steps of intracellular iron trafficking. Together, these findings establish a systems-level map of cardiac iron gene regulation, identify candidate genetic regulators, and provide a molecular framework linking disruption of iron-related transcriptional networks to structural and electrical cardiac dysfunction with implications for iron-related heart diseases.

BXD mouse population↗
PubMed2006

Macrophage characteristics of stem cells revealed by transcriptome profiling.

We previously showed that the phenotypes of adipocyte progenitors and macrophages were close. Using functional analyses and microarray technology, we first tested whether this intriguing relationship was specific to adipocyte progenitors or could be shared with other progenitors. Measurements of phagocytic activity and gene profiling analysis of different progenitor cells revealed that the latter hypothesis should be retained. These results encouraged us to pursue and to confirm our analysis with a gold-standard stem cell population, embryonic stem cells or ESC. The transcriptomic profiles of ESC and macrophages were clustered together, unlike differentiated ESC. In addition, undifferentiated ESC displayed higher phagocytic activity than other progenitors, and they could phagocytoze apoptotic bodies. These data suggest that progenitors and stem cells share some characteristics of macrophages. This opens new perspectives on understanding stem cell phenotype and functionalities such as a putative role of stem cells in tissue remodeling by discarding dead cells but also their immunomodulation or fusion properties.

Algorithms↗
PubMed2004

Transcriptome variations in human CaCo-2 cells: a model for enterocyte differentiation and its link to iron absorption.

Complete clinical expression of the HFE1 hemochromatosis is very likely modulated by genes linked to duodenal iron absorption, whose level is conditioned by unknown processes taking place during enterocyte differentiation. We carried out a transcriptomic study on CaCo-2 cells used as a model of enterocyte differentiation in vitro. Of the 720 genes on the microarrays, 80, 50, and 56 were significantly down-regulated up-regulated, and invariant during differentiation. With regard to iron metabolism, we showed that HEPH, SLC11A2, SLC11A3, and TF are significantly up-regulated, while ATP7B and SLC39A1 (and SFT) are down-regulated and ACO1, dCYTb, FECH, and FTH1 show constant expression. Ontological annotations highlight the decrease in the expression of cell cycle and DNA metabolism associated genes as well as transcription, protein metabolism, signal transduction, and nucleocytoplasmic transport associated genes, whereas there are increases in the expression of genes linked to cell adhesion, lipid and xenobiotic metabolism, iron transport and homeostasis, and immune response.

Caco-2 Cells↗
PubMed2004

Genome-wide transcriptome mapping analysis identifies organ-specific gene expression patterns along human chromosomes.

The Human Genome Project has revealed that there about 32,000 protein-encoding genes, which are distributed throughout the genome. It is unclear, however, whether genes are distributed on the chromosomes according to patterns linked to organ specificity. To explore the relationship between genes actively transcribed in normal tissues and their chromosomal locations, we analyzed serial analysis of gene expression libraries of normal human liver, brain, breast, and colon tissues. Transcriptome mapping analysis revealed that transcriptional activity in each tissue varied according to the chromosomal domains, and a weak positive correlation was observed between transcription density and gene density. We identified six liver-related and five colon-related chromosomal domains highly transcribed in each tissue, whereas no brain-related or breast-related chromosomal domains were identified. Representative genes located on these chromosomal domains were associated with the function of each organ and were highly conserved in both mouse and rat genomes. These data revealed that the transcriptional activities of normal human tissues are well orchestrated at chromosomal levels, suggesting that highly expressed genes may share physical proximity.

Chromosome Mapping↗
PubMed2004

Construction of representative transcript and protein sets of human, mouse, and rat as a platform for their transcriptome and proteome analysis.

The number of mammalian transcripts identified by full-length cDNA projects and genome sequencing projects is increasing remarkably. Clustering them into a strictly nonredundant and comprehensive set provides a platform for functional analysis of the transcriptome and proteome, but the quality of the clustering and predictive usefulness have previously required manual curation to identify truncated transcripts and inappropriate clustering of closely related sequences. A Representative Transcript and Protein Sets (RTPS) pipeline was previously designed to identify the nonredundant and comprehensive set of mouse transcripts based on clustering of a large mouse full-length cDNA set (FANTOM2). Here we propose an alternative method that is more robust, requires less manual curation, and is applicable to other organisms in addition to mouse. RTPSs of human, mouse, and rat have been produced by this method and used for validation. Their comprehensiveness and quality are discussed by comparison with other clustering approaches. The RTPSs are available at .

Animals↗
PubMed2005

Transcriptome analysis of rat liver regeneration in a model of oval hepatic stem cells.

We have performed serial analysis of gene expression of the regenerating liver. In the rat model of partial hepatectomy and 2-acetamidofluorene treatment liver regeneration recruits hepatic stem cells referred to as oval cells. We analyzed a total of 153,057 tags in livers from normal control (52,343 tags), from sham 2-acetamidofluorene-treated control (50,502 tags), and from the early stage of oval cell proliferation (50,212 tags). Comparative analysis of the three transcriptomes identified 27 up-regulated and 18 down-regulated genes. Real-time PCR analysis confirmed 11 temporally regulated genes that correlate with oval cell development. Interestingly, we found by Western blot protein analysis of regenerating livers that the cell cycle gene Cdc42 was induced concomitant with the proliferation marker cyclin D1 and the oval cell marker alpha-fetoprotein. Our studies provide new insights into the molecular mechanism of liver regeneration through oval cells.

2-Acetylaminofluorene↗
PubMed2006

Application of transcriptional and biological network analyses in mouse germ-cell transcriptomes.

Serial analysis of gene expression (SAGE) provides a global analysis platform for profiling mRNA populations present in cells of interest without the constraint of gene selection and the ambiguous nature of data obtained. However, most of the reports on SAGE and germ cell development are limited to descriptive analyses. Here, we report a series of bioinformatic analyses using recently published SAGE data on the transcriptome of mouse type A spermatogonia (Spga), pachytene spermatocytes (Spcy), and round spermatids (Sptd). Tags with a total count of > or =20 in three SAGE libraries were examined. Our aim was to identify and discover potential transcriptional regulators and pathways involved at different stages of spermatogenesis. Unsupervised hierarchical clustering based on tag expression and Gene Ontology analysis were applied to identify genes and biological processes overrepresented at a particular stage of development. The 5' cis-regulatory elements were examined for common regulators in different functional clusters. Potential biological networks were also constructed to reveal the link between the gene candidates. Biological pathways related to the three germ cell stages were constructed. A number of known transcription regulators in spermatogenesis, including NF-kappaB, SP1, AP-1, and EGR, were identified. Novel promoter elements such as the E box in Spga-specific genes, GATA in Spcy-specific genes, and GKLF in Sptd-specific genes were also observed. Taken together, our approach is reliable and provides a foundation for the generation of novel biological hypotheses for studying spermatogenesis.

Animals↗
PubMed2001

Transcriptomes, transcription activators and microarrays.

Gene-specific transcription activators are among the main factors which specifically shape the transcriptome profiles. It is tempting to take advantage of their properties to decipher the genome expression circuitry. The advent of microarray technology has offered fantastic opportunities to quickly analyze the expression profiles dictated by specific transcription factors. This review will first focus on the strategies which have been devised to control the activity of transcription factors and in the second part on the microarray experiments which addressed the role of these transcription factors in the genome-wide expression profile. This last part will mainly consider the case of the yeast Saccharomyces cerevisiae genome. All the collected data are available through the on-line database yTAFNET (http://transcriptome.ens.fr/ytafnet/). yTAFNET is designed to help the characterization of connections between the different yeast regulatory networks.

Databases, Factual↗
PubMed2001

Transcriptome meets metabolome: hierarchical and metabolic regulation of the glycolytic pathway.

The fact that information flows from DNA to RNA to protein to function suggests that regulation is 'hierarchical', i.e. dominated by regulation of gene expression. In the case of dominant regulation at the metabolic level, however, there is no quantitative relationship between mRNA levels and function. We here develop a method to quantitate the relative contributions of metabolic and hierarchical regulation. Applying this method to the glycolytic flux in three species of parasitic protists, we conclude that it is rarely regulated by gene expression alone. This casts strong doubts on whether transcriptome and proteome analysis suffices to assess biological function.

Animals↗
PubMed2005

PrimerSelect: a transcriptome-wide oligonucleotide primer pair design program for kinetic RT-PCR-based transcript profiling.

We describe PrimerSelect, a program capable of transcriptome-wide design of primer pairs for optimal performance in kinetic reverse-transcriptase polymerase chain reaction (RT-PCR). For the yeast Saccharomyces cerevisiae, PrimerSelect designs primer pairs for 86% of genomic open reading frames (ORFs) using design criteria we previously established to be optimal for kinetic RT-PCR (kRT-PCR)-based transcript quantitation. Primer pairs designed by PrimerSelect for 230 yeast ORFs were evaluated for primer dimer potential, PCR cyclewise yield, and cross-priming. Performance of 95% of these primer pairs is optimal with respect to primer dimer potential and PCR cyclewise yield for quantitating even the rarest yeast transcript. All of the primer pairs produced a single amplicon of the expected size from yeast genomic DNA template. The utility of PrimerSelect for designing primer pairs complementary to ORF sequences defined for multiple isolates of the human bacterial pathogens Helicobacter pylori and Staphylococcus aureus is also demonstrated.

Computer-Aided Design↗
PubMed2006

Transcriptome alterations in schizophrenia: disturbing the functional architecture of the dorsolateral prefrontal cortex.

The availability of methods for quantifying tissue concentrations of messenger RNAs in the postmortem of the human brain has provided a number of new findings in schizophrenia. However, understanding how these findings actually relate to the disease process of schizophrenia requires knowledge both of the factors that might give rise to such changes in gene expression and of the impact of these changes on the function of the affected neural circuits. Consequently, this chapter provides a review of the potential causes and consequences of some of the schizophrenia-related transcriptome changes in the dorsolateral prefrontal cortex, a brain region implicated in the pathophysiology of certain core cognitive deficits in this illness.

Animals↗
PubMed1997

Characterization of the yeast transcriptome.

We have analyzed the set of genes expressed from the yeast genome, herein called the transcriptome, using serial analysis of gene expression. Analysis of 60,633 transcripts revealed 4,665 genes, with expression levels ranging from 0.3 to over 200 transcripts per cell. Of these genes, 1981 had known functions, while 2684 were previously uncharacterized. The integration of positional information with gene expression data allowed for the generation of chromosomal expression maps identifying physical regions of transcriptional activity and identified genes that had not been predicted by sequence information alone. These studies provide insight into global patterns of gene expression in yeast and demonstrate the feasibility of genome-wide expression studies in eukaryotes.

Cell Cycle↗
PubMed2002

Transcriptome changes during intestinal cell differentiation.

The expression of 18149 genes have been analysed during the differentiation of the human intestinal cell line Caco-2. cDNA probes from undifferentiated and differentiated Caco-2 cells were separately hybridised to EST DNAs spotted in an array on a nylon membrane. A remarkable change in the transcriptome was observed during the differentiation of the Caco-2 cells. 8762 of the 18149 genes analysed were expressed above background level in the undifferentiated Caco-2 cells, whereas only 5767 genes were expressed above background in differentiated Caco-2 cells. This pattern of expression was caused by a general down-regulation of genes in the low abundance class. Similar results were found using mouse small intestinal crypt and villus cells, suggesting that the phenomenon also occurs in the intestine in vivo. The expression data were subsequently used in a search for markers for subsets of epithelial cells by performing reverse transcriptase-polymerase chain reaction on RNA extracted from laser dissected intestinal crypt and villi. In a screen of eight transcripts one - SART3 - was identified as a marker for human colonic crypts.

Animals↗
PubMed2001

Profiling the adult human liver transcriptome: analysis by cDNA array hybridization.

BACKGROUND/AIMS: A comprehensive profile of genes expressed at the mRNA level (transcriptome) in human liver tissue is important for elucidating the pathogenesis and treatment of hepatic diseases. The recent development of cDNA array hybridization allows the parallel monitoring of thousands of genes expressed in a single organ. METHODS: High-density microarrays containing 4043 known and unique human cDNA gene targets were used to quantitatively analyze the expression of genes in human livers. Expressed gene transcripts were classified by function and listed with information of their chromosomal positions. Computational analysis was used to cluster genes according to similarity in pattern of gene expression. RESULTS: A total of 2418 unique gene transcripts were detected in five liver specimens. Through relational database analysis, we determined 1212 genes that were commonly expressed in 4 of the five liver specimens. Furthermore, analysis of the total 2418 expressed genes by self-organizing maps and hierarchical clustering unexpectedly revealed a genomic acute phase response in two of the liver specimens. CONCLUSIONS: These findings represent a comprehensive preliminary molecular index of genes transcribed in the adult human liver. The information may serve as a resource for speeding up the discovery of genes underlying human hepatic diseases.

Adult↗
PubMed2000

Analysing uncharted transcriptomes with SAGE.

Methods of comprehensive gene expression analysis have traditionally been limited to analysing bulk tissue or millions of cells. New modifications of serial analysis of gene expression (SAGE) have now permitted the analysis of gene expression in cell subpopulations or microanatomic structures, providing access to unexplored transcriptomes of normal and disease biology.

Animals↗