Tetracycline-controlled transgene activation using the ROSA26-iM2-GFP knock-in mouse strain permits GFP monitoring of DOX-regulated transgene-expression

Background  

Conditional gene activation is an efficient strategy for studying gene function in genetically modified animals. Among the presently available gene switches, the tetracycline-regulated system has attracted considerable interest because of its unique potential for reversible and adjustable gene regulation.     

Effects of sample size on robustness and prediction accuracy of a prognostic gene signature

Background  

Few overlap between independently developed gene signatures and poor inter-study applicability of gene signatures are two of major concerns raised in the development of microarray-based prognostic gene signatures. One recent study suggested that thousands of samples are needed to generate a robust prognostic gene signature.     

Structure and evolution of <Emphasis Type="Italic">Apetala3</Emphasis>, a sex-linked gene in <Emphasis Type="Italic">Silene latifolia</Emphasis>

Background  

The evolution of sex chromosomes is often accompanied by gene or chromosome rearrangements. Recently, the gene AP3 was characterized in the dioecious plant species Silene latifolia. It was suggested that this gene had been transferred from an autosome to the Y chromosome.     

Gene finding in novel genomes

Background  

Computational gene prediction continues to be an important problem, especially for genomes with little experimental data.     

Mistaken Identifiers: Gene name errors can be introduced inadvertently when using Excel in bioinformatics

Background  

When processing microarray data sets, we recently noticed that some gene names were being changed inadvertently to non-gene names.     

Suberoylanilide hydroxamic acid induces apoptosis and sub-G1 arrest of 320 HSR colon cancer cells

Background  

Histone deacetylases and histone acetyl transferases covalently modify histone proteins, consequentially altering chromatin architecture and gene expression.     

Impact of RNA structure on the prediction of donor and acceptor splice sites

Background  

gene identification in genomic DNA sequences by computational methods has become an important task in bioinformatics and computational gene prediction tools are now essential components of every genome sequencing project. Prediction of splice sites is a key step of all gene structural prediction algorithms.     

Kernel-based distance metric learning for microarray data classification

Background  

The most fundamental task using gene expression data in clinical oncology is to classify tissue samples according to their gene expression levels. Compared with traditional pattern classifications, gene expression-based data classification is typically characterized by high dimensionality and small sample size, which make the task quite challenging.     

Human promoter genomic composition demonstrates non-random groupings that reflect general cellular function

Background  

The purpose of this study is to determine whether or not there exists nonrandom grouping of cis-regulatory elements within gene promoters that can be perceived independent of gene expression data and whether or not there is any correlation between this grouping and the biological function of the gene.     

A consensus prognostic gene expression classifier for ER positive breast cancer

Background  

A consensus prognostic gene expression classifier is still elusive in heterogeneous diseases such as breast cancer.     

Natural hybridization in heliconiine butterflies: the species boundary as a continuum

Background  

To understand speciation and the maintenance of taxa as separate entities, we need information about natural hybridization and gene flow among species.     

Regulation of gene expression by photosynthetic signals triggered through modified CO2 availability

Background  

To coordinate metabolite fluxes and energy availability, plants adjust metabolism and gene expression to environmental changes through employment of interacting signalling pathways.     

Motif-guided sparse decomposition of gene expression data for regulatory module identification

Background  

Genes work coordinately as gene modules or gene networks. Various computational approaches have been proposed to find gene modules based on gene expression data; for example, gene clustering is a popular method for grouping genes with similar gene expression patterns. However, traditional gene clustering often yields unsatisfactory results for regulatory module identification because the resulting gene clusters are co-expressed but not necessarily co-regulated.     

On the need for widespread horizontal gene transfers under genome size constraint

Background  

While eukaryotes primarily evolve by duplication-divergence expansion (and reduction) of their own gene repertoire with only rare horizontal gene transfers, prokaryotes appear to evolve under both gene duplications and widespread horizontal gene transfers over long evolutionary time scales. But, the evolutionary origin of this striking difference in the importance of horizontal gene transfers remains by and large a mystery.