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Tie Koide

Publications and source records attributed to Tie Koide.

6 recordsLinked to original sources

SpotWhatR: a user-friendly microarray data analysis system.

SpotWhatR is a user-friendly microarray data analysis tool that runs under a widely and freely available R statistical language (http://www.r-project.org) for Windows and Linux operational systems. The aim of SpotWhatR is to help the researcher to analyze microarray data by providing basic tools for data visualization, normalization, determination of differentially expressed genes, summarization by Gene Ontology terms, and clustering analysis. SpotWhatR allows researchers who are not familiar with computational programming to choose the most suitable analysis for their microarray dataset. Along with well-known procedures used in microarray data analysis, we have introduced a stand-alone implementation of the HTself method, especially designed to find differentially expressed genes in low-replication contexts. This approach is more compatible with our local reality than the usual statistical methods. We provide several examples derived from the Blastocladiella emersonii and Xylella fastidiosa Microarray Projects. SpotWhatR is freely available at http://blasto.iq.usp.br/~tkoide/SpotWhatR, in English and Portuguese versions. In addition, the user can choose between "single experiment" and "batch processing" versions.

Blastocladiella↗

BayGO: Bayesian analysis of ontology term enrichment in microarray data.

BACKGROUND: The search for enriched (aka over-represented or enhanced) ontology terms in a list of genes obtained from microarray experiments is becoming a standard procedure for a system-level analysis. This procedure tries to summarize the information focussing on classification designs such as Gene Ontology, KEGG pathways, and so on, instead of focussing on individual genes. Although it is well known in statistics that association and significance are distinct concepts, only the former approach has been used to deal with the ontology term enrichment problem. RESULTS: BayGO implements a Bayesian approach to search for enriched terms from microarray data. The R source-code is freely available at http://blasto.iq.usp.br/~tkoide/BayGO in three versions: Linux, which can be easily incorporated into pre-existent pipelines; Windows, to be controlled interactively; and as a web-tool. The software was validated using a bacterial heat shock response dataset, since this stress triggers known system-level responses. CONCLUSION: The Bayesian model accounts for the fact that, eventually, not all the genes from a given category are observable in microarray data due to low intensity signal, quality filters, genes that were not spotted and so on. Moreover, BayGO allows one to measure the statistical association between generic ontology terms and differential expression, instead of working only with the common significance analysis.

Bacteria↗

HTself: self-self based statistical test for low replication microarray studies.

Different statistical methods have been used to classify a gene as differentially expressed in microarray experiments. They usually require a number of experimental observations to be adequately applied. However, many microarray experiments are constrained to low replication designs for different reasons, from financial restrictions to scarcely available RNA samples. Although performed in a high-throughput framework, there are few experimental replicas for each gene to allow the use of traditional or state-of-art statistical methods. In this work, we present a web-based bioinformatics tool that deals with real-life problems concerning low replication experiments. It uses an empirically derived criterion to classify a gene as differentially expressed by combining two widely accepted ideas in microarray analysis: self-self experiments to derive intensity-dependent cutoffs and non-parametric estimation techniques. To help laboratories without a bioinformatics infrastructure, we implemented the tool in a user-friendly website (http://blasto.iq.usp.br/~rvencio/HTself).

Algorithms↗

Insertional transposon mutagenesis in the Xylella fastidiosa Citrus Variegated Chlorosis strain with transposome.

To overcome the difficulty in obtaining mutants of the citrus strains of Xylella fastidiosa, we evaluated mutagenesis using the transposome system as a tool for the isolation of a large number of mutants. Electroporation of a commercial transposome system in X. fastidiosa CVC (Citrus Variegated Chlorosis) strain J1a12 yielded an efficiency of 1.2 x 10(3) kanamycin (Km)-resistant clones per microg of DNA. Southern blot analysis demonstrated that the transposon was randomly inserted, and nucleotide sequence analysis indicated the presence of 9 bp direct repeats flanking the transposon insertion site. Analysis by PCR of one of the insertion mutants (clone J15) showed that the transposon was stable after eight passages in solid media. These results show that the transposome system can be used to generate a random mutant library of Xylella fastidiosa CVC strain.

Citrus↗

DNA microarray-based genome comparison of a pathogenic and a nonpathogenic strain of Xylella fastidiosa delineates genes important for bacterial virulence.

Xylella fastidiosa is a phytopathogenic bacterium that causes serious diseases in a wide range of economically important crops. Despite extensive comparative analyses of genome sequences of Xylella pathogenic strains from different plant hosts, nonpathogenic strains have not been studied. In this report, we show that X. fastidiosa strain J1a12, associated with citrus variegated chlorosis (CVC), is nonpathogenic when injected into citrus and tobacco plants. Furthermore, a DNA microarray-based comparison of J1a12 with 9a5c, a CVC strain that is highly pathogenic and had its genome completely sequenced, revealed that 14 coding sequences of strain 9a5c are absent or highly divergent in strain J1a12. Among them, we found an arginase and a fimbrial adhesin precursor of type III pilus, which were confirmed to be absent in the nonpathogenic strain by PCR and DNA sequencing. The absence of arginase can be correlated to the inability of J1a12 to multiply in host plants. This enzyme has been recently shown to act as a bacterial survival mechanism by down-regulating host nitric oxide production. The lack of the adhesin precursor gene is in accordance with the less aggregated phenotype observed for J1a12 cells growing in vitro. Thus, the absence of both genes can be associated with the failure of the J1a12 strain to establish and spread in citrus and tobacco plants. These results provide the first detailed comparison between a nonpathogenic strain and a pathogenic strain of X. fastidiosa, constituting an important step towards understanding the molecular basis of the disease.

Adhesins, Bacterial↗

Site-directed gene disruption in Xylella fastidiosa.

As a first approach to generate mutations by DNA insertion, we have developed a shuttle vector, called pSP3, which replicates both in Escherichia coli and in Xylella. Vector pSP3 was constructed by ligating to the E. coli plasmid pBluescript, a kanamycin resistance gene under the control of the Xylella 16S rRNA promoter and the indigenous Xylella plasmid pXF1.3. Transformation experiments have shown that pSP3 replicates stably in Xylella. When a DNA fragment encompassing part of the Xylella xpsD gene was cloned into pSP3, specific integration of the construct into this gene was observed in 10% of the transformants, as early as after two passages of the culture. These results indicate that this vector can be used to generate site-specific gene disruption by homologous recombination in Xylella fastidiosa.

Base Sequence↗