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At least 649 records · Page 36Linked to original sources
PubMed2000

Genomic fingerprints, ARDRA profiles and quinone systems for classification of Pasteurella sensu stricto.

In order to investigate the relationships between species of the genus Pasteurella sensu stricto such as Pasteurella multocida, Pasteurella canis, Pasteurella stomatis, Pasteurella dagmatis, Pasteurella avium, Pasteurella volantium, Pasteurella gallinarum, Pasteurella species A, Pasteurella species B and "Pasteurella leonis" MCCM 00659 their genomic fingerprints and ARDRA profiles were compared and their quinone systems were analysed. Visual comparison of band patterns from rep-PCR (ERIC-, REP- and BOX-PCR) and the analyses of the combined band patterns by UPGMA (unweighted pair group method with averages) dendrogram derived from the combined fingerprint profiles demonstrated that each strain displays a distinct genomic fingerprint. In members of the same species several similarities in the band patterns were observed. Combined ARDRA profiles, obtained after digestion of amplified 23S rRNA coding genes with the enzymes DdeI, MseI and RsaI, revealed a dissection of the members of the genus Pasteurella sensu stricto into two groups which was in agreement with the two groups obtained from our analyses of the quinone systems. These two groups corresponded with the two phylogenetically determined subclusters 3A and 3B described previously. The species of subcluster 3A displayed a quinone system with ubiquinone Q-7 (32-56%) and ubiquinone Q-8 (44-63%) as major compounds. Members of subcluster 3B had a quinone system with ubiquinone Q-8 (86-97%) as the major compound. Based on these results it can be suggested that the genus Pasteurella sensu stricto should be restricted to the species of subcluster 3B including the species Pasteurella multocida, Pasteurella canis, Pasteurella stomatis, Pasteurella dagmatis and Pasteurella species B. In addition, evidence was found which would indicate that: 1) Pasteurella canis MCCM 00927 is misnamed and should be reclassified with Pasteurella multocida; 2) Pasteurella multocida subsp. septica may be classified as a separate species; and 3) "Pasteurella leonis" MCCM 00659 represents a separate species within subcluster 3B and thus could be described as a species of Pasteurella sensu stricto (also in a redefined genus) when more strains become available.

Bacterial Typing Techniques↗
PubMed1999

Expression profiling by iAFLP: A PCR-based method for genome-wide gene expression profiling.

The availability of comprehensive sets of genes has prompted the researchers to carry out systematic collection of gene expression data. RT-PCR has the highest specificity and sensitivity for transcript detection among all available methods. Low throughput, especially when quantitative data are desired, has precluded RT-PCR from genome-wide application. Here we report a PCR-based expression profiling method, introduced amplified fragment length polymorphism (iAFLP), that has the same specificity and sensitivity as RT-PCR and a throughput level comparable to that of DNA-microarray hybridization. In this method, restricted ends of total cDNAs from six sources were ligated with adaptors having various length of short insertions to a common sequence (polymorphic adaptors). Amplification of a pool of these differentially adapted cDNAs with a gene-specific primer and an adaptor primer allows us to quantitate the abundance of any transcript in six mRNA sources. Using three different primer colors this technique allows quantitation of expression of 864 genes across six different sources per day with a single autosequencer, which is comparable to the throughput of microarray analysis in terms of number of genes x number of sources.

Animals↗
PubMed2004

Genome-wide transcription profile of field- and laboratory-selected dichlorodiphenyltrichloroethane (DDT)-resistant Drosophila.

Genome-wide microarray analysis (Affymetrix array) was used (i) to determine whether only one gene, the cytochrome P450 enzyme Cyp6g1, is differentially transcribed in dichlorodiphenyltrichloroethane (DDT)-resistant vs. -susceptible Drosophila; and (ii) to profile common genes differentially transcribed across a DDT-resistant field isolate [Rst(2)DDT(Wisconsin)] and a laboratory DDT-selected population [Rst(2)DDT(91-R)]. Statistical analysis (ANOVA model) identified 158 probe sets that were differentially transcribed among Rst(2)DDT(91-R), Rst(2)DDT(Wisconsin), and the DDT-susceptible genotype Canton-S (P < 0.01). The cytochrome P450 Cyp6a2 and the diazepam-binding inhibitor gene (Dbi) were over transcribed in the two DDT-resistant genotypes when compared to the wild-type Drosophila, and this difference was significant at the most stringent statistical level, a Bonferroni correction. The list of potential candidates differentially transcribed also includes 63 probe sets for which molecular function ontology annotation of the probe sets did not exist. A total of four genes (Cyp6a2, Dbi, Uhg1, and CG11176) were significantly different (P < 5.6 e(-06)) between Rst(2)DDT(91-R) and Canton-S. Additionally, two probe sets encoding Cyp12d1 and Dbi were significantly different between Rst(2)DDT(Wisconsin) and Canton-S after a Bonferroni correction. Fifty-two probe sets, including those associated with pesticide detoxification, ion transport, signal transduction, RNA transcription, and lipid metabolism, were commonly expressed in both resistant lines but were differentially transcribed in Canton-S. Our results suggest that more than Cyp6g1 is overtranscribed in field and laboratory DDT-resistant genotypes, and the number of commonalities suggests that similar resistance mechanisms may exist between laboratory- and field-selected DDT-resistant fly lines.

Animals↗
PubMed2003

Genome-wide transcriptional profiling of the response of Staphylococcus aureus to cell-wall-active antibiotics reveals a cell-wall-stress stimulon.

The molecular events following inhibition of bacterial peptidoglycan synthesis have not been studied extensively. Previous proteomic studies have revealed that certain proteins are produced in increased amounts upon challenge of Staphylococcus aureus with cell-wall-active antibiotics. In an effort to further those studies, the genes upregulated in their expression in response to cell-wall-active antibiotics have been identified by genome-wide transcriptional profiling using custom-made Affymetrix S. aureus GeneChips. A large number of genes, including ones encoding proteins involved in cell-wall metabolism (including pbpB, murZ, fmt and vraS) and stress responses (including msrA, htrA, psrA and hslO), were upregulated by oxacillin, D-cycloserine or bacitracin. This response may represent the transcriptional signature of a cell-wall stimulon induced in response to cell-wall-active agents. The findings imply that treatment with cell-wall-active antibiotics results in damage to proteins including oxidative damage. Additional genes in a variety of functional categories were upregulated uniquely by each of the three cell-wall-active antibiotics studied. These changes in gene expression can be viewed as an attempt by the organism to defend itself against the antibacterial activities of the agents.

Anti-Bacterial Agents↗
PubMed2005

Functional genomics and gene expression profiling in sepsis: beyond class prediction.

Functional genomics involving genome-wide expression analyses is rapidly finding applications in clinical medicine. New technologies now permit the simultaneous analysis of mRNA levels for the entire human transcriptome from as few as 1000 cells. This approach is dramatically changing the way we define health and disease, allowing, for the first time, an unbiased view of the global changes in gene expression that are occurring. For the study of trauma biology and sepsis, this technology offers a powerful tool to develop molecular signatures for inflamed tissues and specific cell populations. At present, functional genomics is being used to classify the progress of disease and survival in response to traumatic and burn injury, sepsis and visceral ischemia, and reperfusion injury, as well as to describe patterns of gene expression in response to varying microbial pathogens. As the number of bioinformatics tools increases, functional genomics is beginning to reveal the underlying complexity of the biological response to a variety of inflammatory diseases and is providing new approaches for their exploration. Functional genomics is becoming a standard tool in inflammation research as a means to unravel the basic biological processes.

Animals↗
PubMed1994

Spot mapping on the standard profile of restriction landmark genomic scanning (RLGS) of sorted chromosome 20 using methylation-insensitive enzyme.

We established the spot mapping system on a restriction landmark genomic scanning (RLGS) profile using sorted chromosome as RLGS material. In this mapping system, we can mapped RLGS spots physically, regardless of their polymorphism, using methylation-insensitive enzymes in all RLGS steps. Here, we report that we identified 28 spots derived from human chromosome 20 on an RLGS profile, and that number was in good agreement with the number predicted from the length of the chromosome 20.

Cell Line↗
PubMed2003

Genomic dissection for characterization of cancerous oral epithelium tissues using transcription profiling.

Genome-wide and high-throughput functional genomic tools offer the potential of identifying disease-associated genes and dissecting disease regulatory patterns. There is a need for a set of systematic bioinformatic tools that handles efficiently a large number of variables for extracting biological meaning from experimental outputs. We present well-characterized statistical tools to discover genes that are differentially expressed between malignant oral epithelial and normal tissues in microarray experiments and to construct a robust classifier using the identified discriminatory genes. Those tools include Wilks' lambda score, error rate estimated from leave-one out cross-validation (LOOCV) and Fisher Discriminant Analysis (FDA). High Density DNA microarrays and Real Time Quantitative PCR were employed for the generation and validation of the transcription profile of the oral cancer and normal samples. We identified 45 genes that are strongly correlated with malignancy. Of the 45 genes identified, six have been previously implicated in the disease, and two are uncharacterized clones.

Gene Expression Profiling↗
PubMed2005

Genomic and proteomic profiling of lung cancers: lung cancer classification in the age of targeted therapy.

Both proteomic and genomic methods offer promise for the classification of human lung carcinomas. This review summarizes the range of proteomic methods in development for lung cancer classification, and describes a number of recent analyses of messenger RNA expression in lung cancer. Multiple independent studies of mRNA expression profiles in lung adenocarcinoma have proven highly reproducible. Analyses of the relationship between expression profiles and tumor development and differentiation, the presence or absence of specific pathogenic mutations, patient prognosis and survival after surgical treatment, and specific histopathology all appear to be promising.

Gene Expression Profiling↗
PubMed1999

Assigning protein functions by comparative genome analysis: protein phylogenetic profiles.

Determining protein functions from genomic sequences is a central goal of bioinformatics. We present a method based on the assumption that proteins that function together in a pathway or structural complex are likely to evolve in a correlated fashion. During evolution, all such functionally linked proteins tend to be either preserved or eliminated in a new species. We describe this property of correlated evolution by characterizing each protein by its phylogenetic profile, a string that encodes the presence or absence of a protein in every known genome. We show that proteins having matching or similar profiles strongly tend to be functionally linked. This method of phylogenetic profiling allows us to predict the function of uncharacterized proteins.

Bacterial Proteins↗
PubMed2026

Integrated Genomic and Immune Profiling of Early Onset Lung Cancer in East Asians Reveals a Distinct Molecular Architecture.

BACKGROUND: The age cut-off for early-onset lung cancer (EOLC) varies across studies (40-50 years). Here, we define EOLC as diagnosis at &#x2264; 40 years, a threshold identifying a subgroup with distinct clinical characteristics. However, whether EOLC differs fundamentally from late-onset lung cancer (LOLC) at the molecular level and represents a distinct subtype requiring different management remains unclear. METHODS: This integrated analysis included genomic and immune profiling data from 8,021 lung cancer patients, comprising 302 EOLC and 7,719 LOLC cases. Using targeted sequencing, we assessed somatic and germline alterations, mutational signatures, and immune biomarkers including tumor mutational burden (TMB), MSI status, and PD-L1 expression. RESULTS: EOLC patients were more often female, had adenocarcinoma, and earlier-stage disease. Molecular profiling revealed significant enrichment of ERBB2 mutations in EOLC, while KRAS, TP53, and MET mutations were more common in LOLC. Mutational signature analysis indicated tobacco-related signatures predominated in LOLC, whereas endogenous processes contributed more substantially in EOLC. Germline analysis showed a higher burden of pathogenic variants in EOLC (14.57% vs. 8.93%, P < .01), with TP53 and BRCA1 being particularly prominent. Immunologically, LOLC tumors exhibited higher TMB and PD-L1 positivity. CONCLUSION: Integrated profiling establishes EOLC as a distinct molecular subtype, defined by a unique triad: an ERBB2-driven somatic profile, germline susceptibility in DNA damage response pathways, and an endogenous mutagenic process within a low-TMB microenvironment. The findings are specific to the selected threshold and should be interpreted accordingly, while elucidating EOLC pathogenesis and supporting age-specific management strategies.

Humans↗
PubMed2006

Genome-wide expression profile of the mnn2 Delta mutant of Saccharomyces cerevisiae.

The MNN2 gene of S. cerevisiae encodes an alpha (1,2) mannosyl transferase required for branching the outer chain of N-linked oligosaccharides (Rayner J.C. and Munro S. 1998. J. Biol. Chem. 273: 26836-26843) and it also seems to have some effect on the transfer of mannosyl phosphate groups to the inner core (Olivero I. et al. 2000. FEBS Lett. 475: 111-116). In order to reveal possible interactions of MNN2 expression with other cellular pathways, we analyzed the transcriptome of the deletion mutant S. cerevisiae mnn2 Delta using cDNA microarrays. We found 151 genes that showed an altered expression level of > or =2-fold, 58 of them up-regulated and 93 down-regulated. Quite a high proportion of these genes (29%) encode unclassified proteins. In contrast to other defects affecting the integrity of the cell wall, deletion of MNN2 does not stimulate the expression of any of the genes included in the previously defined 'cell wall compensatory cluster' (Lagorce et al. 2003. J. Biol. Chem. 278: 20345-20357). We also found that 15% of the selected genes are related to central metabolic pathways. In addition, the mnn2 Delta strain seems to have a certain level of stimulation of DNA processing reactions while some genes involved in intracellular transport pathways are under-regulated.

Gene Deletion↗
PubMed2005

A genome-wide expression profile and system-level integration of nuclear factor kappa B regulated genes reveals fundamental metabolic adaptations during cell growth and survival.

A murine lung alveolar carcinoma cell line (WT-Line 1) and its equally tumorigenic but non-malignant derivative transduced with a dominant negative inhibitor of NF-kappaB (mI-kappaB-Line 1), were profiled on the Affymetrix 19000 gene array platform. Two differentially expressed gene clusters were identified and integrated into a functional model. The downregulation of anti-oxidant defenses, in mI-kappaB-Line 1 cells, correlates with high levels of reactive oxygen species (ROS) and ROS damage to cellular macromolecules while the upregulation of metabolic nuclear receptors correlates with an adaptive/survival response, which involves a shift in energy metabolism toward beta-oxidative respiration. Accordingly, mI-kappaB-Line 1 cells are markedly sensitized to pharmacologic inhibition of beta-oxidative respiration. These findings are indicative of compensatory changes that could undermine anti-cancer therapies targeting NF-kappaB.

Adaptation, Physiological↗
PubMed2003

Development of a Corynebacterium glutamicum DNA microarray and validation by genome-wide expression profiling during growth with propionate as carbon source.

A DNA microarray was developed to analyse global gene expression of the amino acid-producing bacterium Corynebacterium glutamicum. PCR products representing 93.4% of the predicted C. glutamicum genes were prepared and spotted in quadruplicate onto 3-aminopropyltrimethoxysilane-coated glass slides. The applicability of the C. glutamicum DNA microarray was demonstrated by co-hybridisation with fluorescently labelled cDNA probes. Analysis of the technical variance revealed that C. glutamicum genes detected with different intensities resulting in ratios greater than 1.52 or smaller than -1.52 can be regarded as differentially expressed with a confidence level of greater than 95%. In a validation example, we measured changes of the mRNA levels during growth of C. glutamicum with acetate and propionate as carbon sources. Acetate-grown C. glutamicum cultures were used as reference. At the 95% confidence interval, 117 genes revealed increased transcript levels in the presence of propionate, while 43 genes showed a decreased expression compared with the acetate-grown culture. Global expression profiling confirmed the induction of the prpD2B2C2 gene cluster already known to be essential for propionate degradation via the 2-methylcitrate cycle. Besides many genes of unknown function, the paralogous prpD1B1C1 gene cluster as well as fasI-B (encoding fatty-acid synthase IB), dtsR1 and dtsR2 (components of acyl-CoA carboxylases), gluABCD (glutamate transport system), putP (proline transport system), and pyc (pyruvate carboxylase) showed significantly increased expression levels. Differential expression of these genes was confirmed by real-time reverse transcription (RT) PCR assays.

Carbon↗
PubMed2003

Genome-wide expression profiling of the response to polyene, pyrimidine, azole, and echinocandin antifungal agents in Saccharomyces cerevisiae.

Antifungal compounds exert their activity through a variety of mechanisms, some of which are poorly understood. Novel approaches to characterize the mechanism of action of antifungal agents will be of great use in the antifungal drug development process. The aim of the present study was to investigate the changes in the gene expression profile of Saccharomyces cerevisiae following exposure to representatives of the four currently available classes of antifungal agents used in the management of systemic fungal infections. Microarray analysis indicated differential expression of 0.8, 4.1, 3.0, and 2.6% of the genes represented on the Affymetrix S98 yeast gene array in response to ketoconazole, amphotericin B, caspofungin, and 5-fluorocytosine (5-FC), respectively. Quantitative real time reverse transcriptase-PCR was used to confirm the microarray analyses. Genes responsive to ketoconazole, caspofungin, and 5-FC were indicative of the drug-specific effects. Ketoconazole exposure primarily affected genes involved in ergosterol biosynthesis and sterol uptake; caspofungin exposure affected genes involved in cell wall integrity; and 5-FC affected genes involved in DNA and protein synthesis, DNA damage repair, and cell cycle control. In contrast, amphotericin B elicited changes in gene expression reflecting cell stress, membrane reconstruction, transport, phosphate uptake, and cell wall integrity. Genes with the greatest specificity for a particular drug were grouped together as drug-specific genes, whereas genes with a lack of drug specificity were also identified. Taken together, these data shed new light on the mechanisms of action of these classes of antifungal agents and demonstrate the potential utility of gene expression profiling in antifungal drug development.

Anti-Bacterial Agents↗
PubMed2005

Genome-wide expression profiling of the response to ciclopirox olamine in Candida albicans.

OBJECTIVES: The aim of this study was to identify changes in the gene expression profile of Candida albicans upon exposure to the hydroxypyridone anti-infective agent ciclopirox olamine in an effort to better understand its mechanism of action. METHODS: C. albicans SC5314 was exposed to either medium alone or ciclopirox olamine at a concentration equivalent to the IC50 (0.24 mg/L) for 3 h. RNA was isolated and gene expression profiles were compared using DNA microarrays. Differential expression of select genes was confirmed by real-time reverse transcription (RT)-PCR. Mutants disrupted for CDR2 and both CDR1 and CDR2, as well as a clinical isolate overexpressing CDR1 and CDR2, were examined for changes in susceptibility to ciclopirox olamine. RESULTS: A total of 49 genes were found to be responsive to ciclopirox olamine, including 36 up-regulated genes and 13 down-regulated genes. These included genes involved in small molecule transport (HGT11, HXT5, ENA22, PHO84, CDR4), iron uptake (FRE30, FET34, FTR1, FTR2, SIT1) and cell stress (SOD1, SOD22, CDR1, DDR48). Mutants disrupted for CDR2 and both CDR1 and CDR2, as well as a clinical isolate overexpressing CDR1 and CDR2, showed no change in susceptibility to ciclopirox olamine compared with the respective parent. CONCLUSIONS: Consistent with the hypothesis that ciclopirox olamine acts as an iron chelator, it induced changes in expression of many genes involved in iron uptake. Despite induction of the multidrug efflux pump genes CDR1 and, to a lesser extent, CDR2 by ciclopirox olamine, these genes do not affect susceptibility to this agent.

Antifungal Agents↗
PubMed2004

Genome-wide transcriptional profiling of the Escherichia coli response to a proline-rich antimicrobial peptide.

Most antimicrobial peptides (AMPs) impair the viability of target bacteria by permeabilizing bacterial membranes. However, the proline-rich AMPs have been shown to kill susceptible organisms without causing significant membrane perturbation and may act by inhibiting the activity of bacterial targets. To gain initial insight into the events that follow interaction of a proline-rich peptide with bacterial cells, we used DNA macroarray technology to monitor transcriptional alterations of Escherichia coli in response to challenge with a subinhibitory concentration of the proline-rich Bac7(1-35). Substantial changes in the expression levels of 70 bacterial genes from various functional categories were detected. Among these, 26 genes showed decreased expression, while 44 genes, including genes that are potentially involved in bacterial resistance to antimicrobials, showed increased expression. The generation of a transcriptional response under the experimental conditions used is consistent with the ability of Bac7(1-35) to interact with bacterial components and affect biological processes in this organism.

Anti-Bacterial Agents↗
PubMed2005

Genome-wide expression profiling of the response to azole, polyene, echinocandin, and pyrimidine antifungal agents in Candida albicans.

Antifungal agents exert their activity through a variety of mechanisms, some of which are poorly understood. We examined changes in the gene expression profile of Candida albicans following exposure to representatives of the four currently available classes of antifungal agents used in the treatment of systemic fungal infections. Ketoconazole exposure increased expression of genes involved in lipid, fatty acid, and sterol metabolism, including NCP1, MCR1, CYB5, ERG2, ERG3, ERG10, ERG25, ERG251, and that encoding the azole target, ERG11. Ketoconazole also increased expression of several genes associated with azole resistance, including CDR1, CDR2, IFD4, DDR48, and RTA3. Amphotericin B produced changes in the expression of genes involved in small-molecule transport (ENA21), and in cell stress (YHB1, CTA1, AOX1, and SOD2). Also observed was decreased expression of genes involved in ergosterol biosynthesis, including ERG3 and ERG11. Caspofungin produced changes in expression of genes encoding cell wall maintenance proteins, including the beta-1,3-glucan synthase subunit GSL22, as well as PHR1, ECM21, ECM33, and FEN12. Flucytosine increased the expression of proteins involved in purine and pyrimidine biosynthesis, including YNK1, FUR1, and that encoding its target, CDC21. Real-time reverse transcription-PCR was used to confirm microarray results. Genes responding similarly to two or more drugs were also identified. These data shed new light on the effects of these classes of antifungal agents on C. albicans.

Amphotericin B↗
PubMed2005

Genome-wide transcription profiling of the early phase of biofilm formation by Candida albicans.

The ability to adhere to surfaces and develop as a multicellular community is an adaptation used by most microorganisms to survive in changing environments. Biofilm formation proceeds through distinct developmental phases and impacts not only medicine but also industry and evolution. In organisms such as the opportunistic pathogen Candida albicans, the ability to grow as biofilms is also an important mechanism for persistence, facilitating its growth on different tissues and a broad range of abiotic surfaces used in medical devices. The early stage of C. albicans biofilm is characterized by the adhesion of single cells to the substratum, followed by the formation of an intricate network of hyphae and the beginning of a dense structure. Changes in the transcriptome begin within 30 min of contact with the substrate and include expression of genes related to sulfur metabolism, in particular MET3, and the equivalent gene homologues of the Ribi regulon in Saccharomyces cerevisiae. Some of these changes are initiated early and maintained throughout the process; others are restricted to the earliest stages of biofilm formation. We identify here a potential alternative pathway for cysteine metabolism and the biofilm-associated expression of genes involved in glutathione production in C. albicans.

Antigens, Fungal↗