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Open AccessJournal ArticleDOI

The YEASTRACT database: a tool for the analysis of transcription regulatory associations in Saccharomyces cerevisiae

TLDR
The YEAst Search for Transcriptional Regulators And Consensus Tracking (YEASTRACT; ) database is a repository of 12 346 regulatory associations between transcription factors and target genes, based on experimental evidence which was spread throughout 861 bibliographic references.
Abstract
We present the YEAst Search for Transcriptional Regulators And Consensus Tracking (YEASTRACT; www.yeastract.com) database, a tool for the analysis of transcription regulatory associations in Saccharomyces cerevisiae. This database is a repository of 12 346 regulatory associations between transcription factors and target genes, based on experimental evidence which was spread throughout 861 bibliographic references. It also includes 257 specific DNA-binding sites for more than a hundred characterized transcription factors. Further information about each yeast gene included in the database was obtained from Saccharomyces Genome Database (SGD), Regulatory Sequences Analysis Tools and Gene Ontology (GO) Consortium. Computational tools are also provided to facilitate the exploitation of the gathered data when solving a number of biological questions as exemplified in the Tutorial also available on the system. YEASTRACT allows the identification of documented or potential transcription regulators of a given gene and of documented or potential regulons for each transcription factor. It also renders possible the comparison between DNA motifs, such as those found to be over-represented in the promoter regions of co-regulated genes, and the transcription factor-binding sites described in the literature. The system also provides an useful mechanism for grouping a list of genes (for instance a set of genes with similar expression profiles as revealed by microarray analysis) based on their regulatory associations with known transcription factors.

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Citations
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A Recently Evolved Transcriptional Network Controls Biofilm Development in Candida albicans

TL;DR: A master circuit controlling biofilm formation in the pathogenic yeast Candida albicans, composed of six transcription regulators that form a tightly woven network with ∼1,000 target genes, is described and analyzed.
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A phenotypic profile of the Candida albicans regulatory network.

TL;DR: It is found that, despite the many specific wiring changes documented between these species, the general phenotypes of orthologous transcriptional regulator knockouts are largely conserved, supporting the idea that many wiring changes affect the detailed architecture of the circuit, but not its overall output.
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Dynamic transcriptome analysis measures rates of mRNA synthesis and decay in yeast

TL;DR: DTA realistically monitors the dynamics in mRNA metabolism that underlie gene regulatory systems, and can monitor the cellular response to osmotic stress with higher sensitivity and temporal resolution than standard transcriptomics.
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Analysis of combinatorial cis-regulation in synthetic and genomic promoters

TL;DR: A quantitative model based on the analysis of synthetic promoter libraries in yeast, which predicts a number of Mig1-regulated genes that lack significant Mig2-binding sites in their promoters and suggests that the information encoded by combinations of cis-regulatory sites is interpreted primarily through simple protein–DNA and protein–protein interactions.
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Global control of cell-cycle transcription by coupled CDK and network oscillators

TL;DR: It is proposed that periodic transcription is an emergent property of a transcription factor network that can function as a cell-cycle oscillator independently of, and in tandem with, the CDK oscillator.
References
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Journal ArticleDOI

Gene Ontology: tool for the unification of biology

TL;DR: The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing.
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Biclustering Algorithms for Biological Data Analysis: A Survey

TL;DR: In this comprehensive survey, a large number of existing approaches to biclustering are analyzed, and they are classified in accordance with the type of biclusters they can find, the patterns of bIClusters that are discovered, the methods used to perform the search, the approaches used to evaluate the solution, and the target applications.
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SGD: Saccharomyces Genome Database

TL;DR: The Saccharomyces Genome Database (SGD) provides Internet access to the complete SacCharomyces cerevisiae genomic sequence, its genes and their products, the phenotypes of its mutants, and the literature supporting these data.
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The TRANSFAC system on gene expression regulation.

TL;DR: The TRANSFAC database on transcription factors and their DNA-binding sites and profiles has been quantitatively extended and supplemented by a number of modules that give information about pathologically relevant mutations in regulatory regions and transcription factor genes (PathoDB), scaffold/matrix attached regions (S/MARt DB), signal transduction and gene expression sources (CYTOMER).
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