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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↗

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↗

Mouse testis transcriptome revealed using serial analysis of gene expression.

We applied serial analysis of gene expression (SAGE) to the mouse testis to reveal the global gene expression profile and to identify senescence-dependent changes in that profile. A total of 61,929 SAGE tags, including 19,323 unique tags, were obtained from 3- and 29-month-old BDF1 mice and 14-month-old SAMP1 mice. Genes highly expressed in the testis included those associated with spermatogenesis, protein metabolism, energy metabolism, growth and differentiation, and signal transduction. Testes from old mice of both strains appeared atrophied. Morphological examination of aged testes revealed extremely thin seminiferous epithelia and significantly decreased numbers of spermatids and spermatocytes. Despite the physical deterioration, no gross changes in the gene expression profile were apparent in the testes of old BDF1 mice. However, in 14-month-old SAMP1 mice, protamine 2 gene transcription was approximately 50% lower than in BDF1 mice. This reduction may be associated with the oligozoospermia and early decline in reproductive performance of SAMP1 mice. Our SAGE results are the first quantitative gene expression profile of the mouse testis and provide a reliable transcriptome reference for this organ.

Age Factors↗

Bacillus subtilis functional genomics: genome-wide analysis of the DegS-DegU regulon by transcriptomics and proteomics.

The DegS-DegU two-component regulatory system of Bacillus subtilis controls various processes that characterize the transition from the exponential to the stationary growth phase, including the induction of extracellular degradative enzymes, expression of late competence genes and down-regulation of the sigma(D) regulon. The degU32(Hy) mutation stabilizes the phosphorylated form of DegU (DegU-P), resulting in overproduction of several extracellular degradative enzymes. In this study, the pleiotropic DegS-DegU regulon was characterized by combining proteomic and transcriptomic approaches. A comparative analysis of wild-type B. subtilis and the degU32(Hy) mutant grown in complex medium was performed during the exponential and in the stationary growth phase. Besides genes already known to be under the control of DegU-P, novel putative members of this regulon were identified. Although the degU32(Hy) mutant is assumed to contain high levels of phosphorylated DegU in the exponential as well as in the stationary growth phase, many genes known to be positively regulated by DegU-P did not show enhanced expression in the mutant strain during exponential growth. This is consistent with the fact that most genes belonging to the DegS-DegU regulon are subject to multiple regulation; this is also reflected in the strong stationary-phase induction of these genes in the mutant strain. As expected, during the exponential growth phase, the sigma(D) regulon was expressed at significantly lower levels in the degU32(Hy) mutant than in the wild type.

Bacillus subtilis↗

Tagged Transcriptome Display (TTD) in indica rice using Ac transposition.

We have developed a population of transgenic indica rice lines containing the autonomous Activator transposon (Ac) from maize. A transposon excision assay using as the reporter the green fluorescent protein (GFP) gene driven by the ubiquitin promoter was used to monitor Ac excision in various tissues. Our results, based on Ac excision and re-insertion events in 289 independent rice transformants, provide an insight into transposon biology in this heterologous model cereal system. Twenty percent of the transformed calli displayed uniform GFP activity, indicating very early Ac excision, while later excision in another 40% of calli was revealed by mosaic GFP activity. Both phenotypes were confirmed by molecular analysis. Progeny analysis revealed active transposition, with some lines displaying transposition to unlinked positions. Amplification of the Ac copy number was observed in approximately 30% of the lines, thus tagging multiple sites. We developed a "transposon insertion display" procedure, involving the use of CpG methylation-sensitive enzymes and a macroarray-based approach with cDNA as a complex hybridization probe, to selectively detect transposon insertions in transcribed sequences. Sequencing of tagged sites identified by hybridization to leaf cDNA revealed that all the hybridizing tags were homologous to genes or ESTs present in databases. Extrapolation from these data suggests that 12% of all amplified tags display homology to genes or ESTs - five times more than would be expected on the basis of random transpositional insertion. This Tagged Transcriptome Display (TTD) technique, using a population of Ac insertion-tagged lines, therefore represents a convenient approach for the identification of tagged genes involved in specific processes, as revealed by their expression patterns.

Base Sequence↗

The auxin-induced transcriptome for etiolated Arabidopsis seedlings using a structure/function approach.

To increase our understanding of the mode of action of auxin, we analyzed auxin-induced changes in the Arabidopsis transcriptome with microarrays representing 20426 Arabidopsis genes. Treatment of etiolated seedlings with low concentrations of the auxin, indole-3-acetic acid (IAA), decreased the expression levels of 23 genes, whereas it increased the expression levels of 47 genes within 20 min. After 40 min, the directional trend in genomic change was predominantly an increase in gene expression. Among the most rapidly induced changes are those in genes encoding transcription factors. Promoter regions of transiently induced genes contained DNA motifs that bind auxin response (ARFAT) and silence element binding factors whereas genes induced by IAA during the entire experimental period contained MYC and ARFAT DNA motifs at higher frequencies. Six structurally diverse auxins were analyzed to determine genes that are unique to a specific auxin, as well as a common set of genes that are rapidly regulated by all tested auxins, thus enabling the identification of shared DNA motifs. In addition to ARFAT, analysis of promoter regions of genes induced by all six auxins revealed the presence of an abscisic-acid-responsive DC3 promoter-binding factor and low temperature responsive elements suggesting a possible role for abscisic acid in modulating auxin-induced responses.

5' Untranslated Regions↗

Alteration of the embryo transcriptome of hexaploid winter wheat (Triticum aestivum cv. Mercia) during maturation and germination.

Grain dormancy and germination are areas of biology that are of considerable interest to the cereal community. We have used a 9,155-feature wheat unigene cDNA microarray resource to investigate changes in the wheat embryo transcriptome during late grain development and maturation and during the first 48 h of postimbibition germination. In the embryo 392 mRNAs accumulated by twofold or greater over the time course from 21 days postanthesis (dpa) to 40 dpa and on through 1 and 2 days postgermination. These included mRNAs encoding proteins involved in amino acid biosynthesis and metabolism, cell division and subsequent cell development, signal transduction, lipid metabolism, energy production, protein turnover, respiration, initiation of transcription, initiation of translation and ribosomal composition. A number of mRNAs encoding proteins of unknown function also accumulated over the time course. Conversely 163 sequences showed decreases of twofold or greater over the time course. A small number of mRNAs also showed rapid accumulation specifically during the first 48 h of germination. We also examined alterations in the accumulation of transcripts encoding proteins involved in abscisic acid signalling. Thus, we describe changes in the level of transcripts encoding wheat Viviparous 1 (Vp1) and other interacting proteins. Interestingly, the transcript encoding wheat Viviparous-interacting protein 1 showed a pattern of accumulation that correlates inversely with germination. Our data suggests that the majority of the transcripts required for germination accumulate in the embryo prior to germination and we discuss the implications of these findings with regard to manipulation of germination in wheat.

Computational Biology↗

Synthesis of Padina boergesenii-Derived Zinc Oxide Nanoparticles and their Therapeutic Potential Against Oral Squamous Cell Carcinoma: A Transcriptomic and in Vitro Evaluation.

Cancer remains a major health challenge, with oral squamous cell carcinoma (OSCC) being an high aggressive subtype of head and neck squamous cell carcinoma that lacks effective therapeutic options. Current study integrates the synthesis of zinc oxide nanoparticles (ZnO-NPs) from the marine brown algae Padina boergesenii with the OSCC gene expression profile to evaluate their potential therapeutic effects against OSCC. Herein, the ZnO-NPs from Padina boergesenii were prepared through the green synthesis method. The obtained ZnO-NPs were characterized through spectroscopic methods, the UV spectrophotometer shows maximum absorbance at 372 nm, FT-IR presents Zn-O functional band at 516 cm- 1, HR-TEM confirms average particle size of 55.70 nm and the Zetasizer shows zeta potential of + 12.9 mV, indicating colloidal stability. The cytotoxicity assay with ZnO-NPs against oral cancer cell lines exhibited a reduction in cell viability at IC₅₀ value of 20 µg/mL. Meanwhile, the transcriptome analysis of OSCC highlights that MYC, STAT3, BRCA1, and AKT1 are the OSCC therapeutic targets involved in proliferation, immune evasion, genomic instability, and cancer signalling pathways. Further, qRT-PCR based gene expression analysis demonstrates significant down-regulation of these targets upon ZnO-NPs treatment in KB cell lines. Overall, this study emphasizes the anticancer potential of Padina boergesenii-derived ZnO-NPs that could effectively modulate the therapeutic targets and may benefit the treatment of OSCC cancer.

Cytotoxicity↗

Mouse striatal transcriptome analysis: effects of oral self-administration of alcohol.

Results of recent studies support the notion that substance self-administration is partially a genetically controlled component of addiction tied to habit formation and cellular modification of the striatum. Aiming to define pathways among genomic, neural, and behavioral determinants of addiction, we investigated global striatal gene expression in a paradigm of oral self-administration of alcohol by using genomically very similar alcohol-nonpreferring B6.Cb(5)i(7)-alpha 3/Vad (C5A3) and alcohol-preferring B6.Ib(5)i(7)-beta 25A/Vad (I5B25A) quasi-congenic mouse strains and their progenitors, C57BL/6By (B6By) and BALB/cJ. Expression of 12,488 genes and expressed sequence tags (ESTs) was studied by using 24 high-density oligonucleotide microarrays. Transcript signal intensity differences were analyzed with z test after iterative median normalization across groups and Hochberg step-down Bonferroni procedure. As expected, striatal transcriptome differences were far more extensive between the independently derived progenitor strains than between the quasi-congenic strains and their background partner, B6By. However, the genes, which were differentially expressed between the quasi-congenic strains and their background partner, were not subsets of the progenitorial differences and were not located on the chromosome segments introgressed into the quasi-congenic strains from the donor BALB/cJ strain that have been so far defined. Although 25 transcripts showed significantly different expression between the progenitor strains, only two transcripts, phosphatidylserine decarboxylase and a hypothetical 21.2-kDa protein, and one transcript, molybdenum co-factor synthesis 2, showed significantly different expression between C5A3 and I5B25A, and between B6By and I5B25A, respectively. The latter three transcripts are not located on previously identified chromosome segments introgressed from the donor BALB/cJ strain, supporting the suggestion of trans-acting regulatory variations among strains. Exposure to alcohol did not induce statistically significant striatal gene expression changes in any of the mouse strains. In conclusion, the results support the hypothesis that in functional genomic studies the chance of detecting function-relevant genes can be increased by the comparative analysis of quasi-congenic and background strains because the number of functionally irrelevant, differentially expressed genes between genomically similar strains is reduced. Lack of statistically significant alcohol-induced changes in transcript abundance indicated that oral self-administration had subtle effects on striatal gene expression and directed attention to important implications for the experimental design of future microarray gene expression studies on complex behaviors.

Administration, Oral↗

Transcriptome responses to carbon tetrachloride and pyrene in the kidney and liver of juvenile rainbow trout (Oncorhynchus mykiss).

We report the effects of the hepatotoxic compound carbon tetrachloride (CCl(4)) and pyrene, a model polycyclic aromatic hydrocarbon, on the transcriptomes of juvenile rainbow trout kidneys and livers. Fish were exposed to sublethal doses for 4 days and expression of 1273 genes was measured using a cDNA microarray. Efforts were focused on differentiating between unspecific responses and those that can be regarded as molecular signatures of CCl(4) and pyrene toxicities. Expression profiles were analyzed in terms of Gene Ontology categories. Universal reactions to chemical toxicity were observed in metallothionein, HSP90 and mitochondrial proteins of oxidative phosphorylation, which were induced in both tissues. Several genes showed similar responses to both compounds in either kidney or liver; most of the effects are implicated in hematopoiesis and immune response. Stimulation of mitochondrial and heat shock proteins was greater in the liver than in the kidney, whereas genes involved in transcription, humoral immune response and apoptosis were suppressed. Pyrene and CCl(4) caused opposite effects on expression of several genes, including HSP-27, macrophage receptor Marco, metalloproteinases (MMP9 and MMP13), and delta-6 fatty acid desaturase. Pyrene affected mainly genes implicated in the maintenance of the genetic apparatus, immune response, glycolysis, and iron homeostasis. CCl(4) affected the structural proteins and genes involved in cellular stress, protein folding, and steroid metabolism. Overall, pyrene suppressed a range of protective or acclimative reactions, many of which were stimulated with CCl(4). Additionally, gene profiling analyses indicated adaptive and potentially maladaptive reactions to toxicity. For instance, stimulation of mitochondrial proteins coincided with suppression of catalase, whereas CCl(4) down-regulated fatty acid metabolism and peroxisomal proteins. A number of candidate biomarkers for ecotoxicological risk assessment were identified as our understanding of mechanisms of pyrene and CCl(4) toxicities in rainbow trout increased.

Animals↗

Uncovering hub genes and key pathways responsive to drought stress in rice via meta-analysis of transcriptomic data.

Drought stress presents a formidable threat to global rice cultivation, triggering complex molecular responses that impact plant growth and productivity. To decipher the underlying gene expression dynamics, we performed a comprehensive meta-analysis of transcriptomic datasets derived from drought-tolerant rice genotypes. Via microarray data from three independent studies, we identified a set of consistently expressed differentially expressed genes (DEGs) under drought conditions. Integration of functional annotation tools, including GO and KEGG pathway enrichment, revealed key biological processes and signaling cascades involved in stress mitigation, such as ABA signaling, protein folding, and photosynthesis suppression. Protein-protein interaction (PPI) network construction, followed by hub gene identification via maximal clique centrality (MCC), highlighted pivotal regulators including LEA proteins, dehydrins, HSP70, and several transcription factors. Machine learning approaches further prioritize potential biomarkers, with Random Forest models achieving high classification accuracy and pinpointing key predictive genes. Chromosomal localization analysis provided spatial insights into the distribution of these hub genes, whose expression patterns were further compared against qRT-PCR data from previously published studies. This integrative approach identifies candidate genomic markers and mechanistic insights that may support future breeding strategies for drought-tolerant rice, pending experimental validation.

Cytoscape↗

Transcriptomic analysis of the NCI-60 cancer cell lines.

Pharmacogenomics aims at molecular subsetting of patients for more effective therapy. Transcriptomic profiling of the 60 human cancer cell lines (the NCI-60) used by the US National Cancer Institute serves that aim because the cells have been treated with > 100,000 chemical compounds over the last 13 years. Patterns of potency can be mapped into molecular structures of the compounds or into molecular characteristics of the cells. We discuss conceptual and experimental aspects of the profiling, as well as a number of bioinformatic computer programs that we have developed for biological interpretation of the profiles.

Cell Line, Tumor↗

From the messenger RNA saga to the transcriptome era.

This review attempts to provide an overview of the evolution of the ideas and techniques that prevailed at the beginning of research on ribonucleic acids, until the contemporary era of cellular transcript analysis using DNA biochips and microarrays. Certain applications derived from the use of microarrays and the corresponding analyses of transcriptomes are discussed, particularly concerning diagnosis and prevision of evolution of certain cancers.

Cloning, Molecular↗

Foreword: from the TRANSCRIPTOME conferences to the SYSTEMOSCOPE international consortium.

This thematic issue issue of the Comptes rendus Biologies contains review articles, original papers and conference reports presented at the first two TRANSCRIPTOME conferences From Functional Genomics to Systems Biology and IMAGE Consortium Invitational workshops (Paris, November 2000 and Seattle, March 2002), and discussed during the inaugural meetings of the SYSTEMOSCOPE International Consortium (Paris, June 2003). We describe the founding principles, missions, working plan and policy for partnership and industrial development of SYSTEMOSCOPE to promote the study of the complexity of biological systems by integrating scientific, medical, ethical and economic issues in implementation of interdisciplinary projects for human health.

Biology↗

Repetitive sequences that shape the human transcriptome.

Only a small portion of the total RNA transcribed in human cells becomes mature mRNA and constitutes the human transcriptome, which is context-dependent and varies with development, physiology and pathology. A small fraction of different repetitive sequences, which make up more than half of the human genome, is retained in mature transcripts and shapes their function. Among them are short interspersed elements (SINEs), of which Alu sequences are most frequent, and simple sequence repeats, which come in many varieties. In this review, we have focused on the structural and functional role of Alu elements and trinucleotide repeats in transcripts.

Alu Elements↗

Transcriptome of 3D7 and its gametocyte-less derivative F12 Plasmodium falciparum clones during erythrocytic development using a gene-specific microarray assigned to gene regulation, cell cycle and transcription factors.

During the complex life cycle of Plasmodium falciparum, through mosquito and human, the erythrocytic cycle is responsible for malarial disease and transmission. The regulation of events that occur during parasite development, such as proliferation and differentiation, implies a fine control of transcriptional activities that in turn governs the expression profiles of sets of genes. Pathways that underline gametocyte commitment are yet poorly understood even though kinases and transcription factors have been assumed to play a crucial role in this event. In order to understand the molecular mechanisms controlling the variation of gene expression profiles that might participate in early gametocytogenesis, the transcriptome of two clones, 3D7 and its gametocyte-less derivative F12, was compared at five time points of the erythrocytic asexual development. We have used a thematic DNA microarray containing 150 PCR fragments, representative of P. falciparum genes involved in signal transduction, cell cycle and transcriptional regulation. We identified several genes eliciting different expression profiles among which some implicated in gene regulation or encoding putative transcription factors. The differential expression of transcription factor and kinase transcripts observed in the two clones may enlighten genes that might have a role in impairment of the early gametocytogenesis of the F12 clone.

Animals↗

Investigation of protein functions through data-mining on integrated human transcriptome database, H-Invitational database (H-InvDB).

H-Invitational Database (H-InvDB; ) is a human transcriptome database, containing integrative annotation of 41,118 full-length cDNA clones originated from 21,037 loci. H-InvDB is a product of the H-Invitational project, an international collaboration to systematically and functionally validate human genes by analysis of a unique set of high quality full-length cDNA clones using automatic annotation and human curation under unified criteria. Here, 19,574 proteins encoded by these cDNAs were classified into 11,709 function-known and 7865 function-unknown hypothetical proteins by similarity with protein databases and motif prediction (InterProScan). The proportion of "hypothetical proteins" in H-InvDB was as high as 40.4%. In this study, we thus conducted data-mining in H-InvDB with the aim of assigning advanced functional annotations to those hypothetical proteins. First, by data-mining in the H-InvDB version of GTOP, we identified 337 SCOP domains within 7865 H-Inv hypothetical proteins. Second, by data-mining of predicted subcellular localization by SOSUI and TMHMM in H-InvDB, we found 1032 transmembrane proteins within H-Inv hypothetical proteins. These results clearly demonstrate that structural prediction is effective for functional annotation of proteins with unknown functions. All the data in H-InvDB are shown in two main views, the cDNA view and the Locus view, and five auxiliary databases with web-based viewers; DiseaseInfo Viewer, H-ANGEL, Clustering Viewer, G-integra and TOPO Viewer; the data also are provided as flat files and XML files. The data consists of descriptions of their gene structures, novel alternative splicing isoforms, functional RNAs, functional domains, subcellular localizations, metabolic pathways, predictions of protein 3D structure, mapping of SNPs and microsatellite repeat motifs in relation with orphan diseases, gene expression profiling, and comparisons with mouse full-length cDNAs in the context of molecular evolution. This unique integrative platform for conducting in silico data-mining represents a substantial contribution to resources required for the exploration of human biology and pathology.

Amino Acid Sequence↗

Characterization of anti-inflammatory compounds using transcriptomics, proteomics, and metabolomics in combination with multivariate data analysis.

The discovery of new anti-inflammatory drugs is often based on an interaction with a specific target, although other pathways often play a primary or secondary role. Anti-inflammatory drugs can be categorized into classes, based on their mechanism of action. In this article we investigate the possibility to characterize novel anti-inflammatory compounds by three holistic methods. For this purpose, we make use of macrophage-like U937 cells which are stimulated with LPS in the absence or presence of an anti-inflammatory compound. Using micro-arrays, 2-D gel electrophoresis and a LC-MS method for lipids the effects on the transcriptome, proteome and metabolome of the exposed cells is investigated. The expression patterns are subsequently analyzed using in-house developed pattern recognition tools. Using the methods described above, we have examined the effects of six anti-inflammatory compounds. Our results demonstrate that different classes of anti-inflammatory compounds show distinct and characteristic mRNA, protein, and lipid expression patterns, which can be used to categorise known molecules and to discover and classify new leads. The potential of our approach is illustrated by the analysis of several beta (2)-adrenergic agonists (beta2-agonists). In addition to their primary pharmacological target, beta2-agonists posses certain anti-inflammatory properties. We were able to show that zilpaterol, a poorly characterized beta2-agonist, gives rise to an almost identical expression pattern as the beta2-agonists clenbuterol and salbutamol. Furthermore we have identified specific mRNA, protein and lipid markers for the anti-inflammatory compounds investigated in this study.

Adrenergic beta-2 Receptor Agonists↗