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Open AccessJournal ArticleDOI

Comprehensive Identification of Cell Cycle–regulated Genes of the Yeast Saccharomyces cerevisiae by Microarray Hybridization

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TLDR
A comprehensive catalog of yeast genes whose transcript levels vary periodically within the cell cycle is created, and it is found that the mRNA levels of more than half of these 800 genes respond to one or both of these cyclins.
Abstract
We sought to create a comprehensive catalog of yeast genes whose transcript levels vary periodically within the cell cycle. To this end, we used DNA microarrays and samples from yeast cultures sync...

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Citations
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Journal ArticleDOI

Control of transcription by cell size.

TL;DR: The demonstration of a causal, regulatory relationship between cell size and gene expression in yeast suggests that cells maintain size in order to maintain transcriptional homeostasis.
Journal ArticleDOI

Pharmacokinetics in Drug Discovery

TL;DR: The major conclusion of this review is that the use of the appropriate preclinical assays has a key role in the long-term viability of a pharmaceutical company since applying the right tools early in discovery will play aKey role in determining the company's ability to discover novel safe and effective therapeutics to patients as quickly as possible.
Journal ArticleDOI

Proteome-wide discovery of evolutionary conserved sequences in disordered regions.

TL;DR: A statistical analysis method can identify short, functionally important linear motifs in disordered regions of proteins and observed that hub proteins, which interact with many partners in a protein interaction network, are highly enriched in these conserved sequences.
Journal ArticleDOI

Transcriptional regulatory networks and the yeast cell cycle

TL;DR: Genome-wide studies of the location of cell cycle transcription factors, and a variety of computational approaches, have allowed refinement of the model, and at the same time show how other genome-wide data sets may be organised into model networks.
Journal ArticleDOI

An evolutionary clustering algorithm for gene expression microarray data analysis

TL;DR: Experimental results show that it can be very effective and robust even in the presence of noise and missing values, and when correlating the gene expression microarray data with DNA sequences, it was able to uncover significant biological binding sites (both previously known and unknown) in each cluster discovered by EvoCluster.
References
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Journal ArticleDOI

Cluster analysis and display of genome-wide expression patterns

TL;DR: A system of cluster analysis for genome-wide expression data from DNA microarray hybridization is described that uses standard statistical algorithms to arrange genes according to similarity in pattern of gene expression, finding in the budding yeast Saccharomyces cerevisiae that clustering gene expression data groups together efficiently genes of known similar function.
Journal ArticleDOI

Real time quantitative PCR.

TL;DR: Unlike other quantitative PCR methods, real-time PCR does not require post-PCR sample handling, preventing potential PCR product carry-over contamination and resulting in much faster and higher throughput assays.
Journal ArticleDOI

Exploring the Metabolic and Genetic Control of Gene Expression on a Genomic Scale

TL;DR: DNA microarrays containing virtually every gene of Saccharomyces cerevisiae were used to carry out a comprehensive investigation of the temporal program of gene expression accompanying the metabolic shift from fermentation to respiration, and the expression patterns of many previously uncharacterized genes provided clues to their possible functions.
Book ChapterDOI

Getting started with yeast.

TL;DR: The yeast Saccharomyces cerevisiae is now recognized as a model system representing a simple eukaryote whose genome can be easily manipulated and made particularly accessible to gene cloning and genetic engineering techniques.
Journal ArticleDOI

A Genome-Wide Transcriptional Analysis of the Mitotic Cell Cycle

TL;DR: The genome-wide characterization of mRNA transcript levels during the cell cycle of the budding yeast S. cerevisiae indicates a mechanism for local chromosomal organization in global mRNA regulation and links a range of human genes to cell cycle period-specific biological functions.
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