Research Article

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The repertoire of 4,431 open reading frames (ORFs), eight rRNA operons and 98 tRNA genes of Chromobacterium violaceum must be expressed in a regulated manner for successful adaptation to a wide variety of environmental conditions. To accomplish this feat, the organism relies on protein machineries involved in transcription, RNA processing and translation. Analysis of the C. violaceum ... more

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Clustering; Gene expression; Gene-gene interactions; Supervised learning

We show here an example of the application of a novel method, MUTIC (model utilization-based clustering), used for identifying complex interactions between genes or gene categories based on gene expression data. The method deals with binary categorical data which consist of a set of gene expression profiles divided into two biologically meaningful categories. It does not require data ... more

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Bioinformatics tool; Comparative genomic hybridization; DNA microarray; Gene expression; Genomic shotgun libraries; Optimal clones

In DNA microarray experiments, the gene fragments that are spotted on the slides are usually obtained by the synthesis of specific oligonucleotides that are able to amplify genes through PCR. Shotgun library sequences are an alternative to synthesis of primers for the study of each gene in the genome. The possibility of putting thousands of gene sequences into a single slide allows the ... more

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Functional annotation; Gene expression; Tag classification; Web-based bioinformatics tool

Serial analysis of gene expression (SAGE) technology produces large sets of interesting genes that are difficult to analyze directly. Bioinformatics tools are needed to interpret the functional information in these gene sets. We present an interactive web-based tool, called Gene Class, which allows functional annotation of SAGE data using the Gene Ontology (GO) database. This tool ... more

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C4ST-1; Chondroitin sulfate; CHST11; cis-regulatory modules; Gene expression; TGFβ

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C.M. Willis; J.L. Wrana; M. Klüppel
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Clustering; Gene expression; Most expressed sequences; Similarity measure

Following sequence alignment, clustering algorithms are among the most utilized techniques in gene expression data analysis. Clustering gene expression patterns allows researchers to determine which gene expression patterns are alike and most likely to participate in the same biological process being investigated. Gene expression data also allow the clustering of whole samples of data, which ... more

S.A.P. Pinto; J.M. Ortega
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Cherax quadricarinatus; DEAD-box helicase; Eyestalk ablation; Gene expression; Spermatogenesis

The freshwater crayfish Cherax quadricarinatus, originally from Australia, is an invasive species that is also widely used in aquaculture. DEAD-box helicase family genes are found throughout evolution and encode RNA-binding proteins. The human DDX5 (p68) is important for normal cell growth, differentiation and proliferation. We identified a C. quadricarinatus homolog of ... more

D.A. Fang; Q. Wang; J. Wang; L. He; L.H. Liu; Y. Wang
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Cocoa; Cocoa butter; Fatty acid biosynthesis; Gene expression; Sterculiaceae

Lack of continuous progress in Theobroma cacao (Malvaceae) breeding, especially associated with seed quality traits, requires more efficient selection methods based on genomic information. Reverse transcript quantitative PCR (RT-qPCR) has become the method of choice for gene expression analysis, but relative expression analysis requires various reference genes, which must be ... more

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Recently, granulocyte colony-stimulating factor (G-CSF) has been recognized as a useful molecule for the treatment of a wide range of complex ailments, such as cancer, AIDS, H1N1 influenza, cardiac and neurological diseases. The vast therapeutic potential of G-CSF has induced scientists to develop biotechnological approaches for the synthesis of this pharmacologically active agent. We ... more

S. Alrokayan
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The pathogenic fungus Fusarium graminearum is an ongoing threat to agriculture, causing losses in grain yield and quality in diverse crops. Substantial progress has been made in the identification of genes involved in the suppression of phytopathogens by antagonistic microorganisms; however, limited information regarding responses of plant pathogens to these biocontrol agents is ... more

V. Pandolfi; E.C. Jorge; C.M.R. Melo; A.C.S. Albuquerque; H. Carrer

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