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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

Expression profiling of the developing mouse lung: insights into the establishment of the extracellular matrix.

TL;DR: A comprehensive gene expression profiling of the entire process of murine lung development using oligonucleotide-based microarrays reveals the expression pattern of approximately 11,000 genes throughout the morphologic stages of lung development.
Journal ArticleDOI

Characterization of differentiated quiescent and nonquiescent cells in yeast stationary-phase cultures.

TL;DR: Q cells provide genomic stability and NQ cells providing nutrients to Q cells and a regular source of genetic diversity through mutation and transposition, and they provide insight into complex responses that even simple organisms have to starvation.
Journal ArticleDOI

Interactive Exploration of Microarray Gene Expression Patterns in a Reduced Dimensional Space

TL;DR: In this study, PCA projection facilitated discriminatory gene selection for different tissues and identified tissue-specific gene expression signatures for liver, skeletal muscle, and brain samples.
Journal ArticleDOI

A simple principle concerning the robustness of protein complex activity to changes in gene expression

TL;DR: The principle that the overall activity of a protein complex is in general robust to an increase, but not to a decrease in the expression of its subunits is proposed.
Journal ArticleDOI

Qualitatively modelling and analysing genetic regulatory networks: a Petri net approach

TL;DR: A new technique for constructing and analysing qualitative models of genetic regulatory networks based on the Petri net formalism is proposed which addresses the shortcomings of Boolean networks by providing access to the wide range of existing PetriNet analysis techniques and by using non-determinism to cope with incomplete and inconsistent data.
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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