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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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Journal ArticleDOI

Differential gene expression between chronic hepatitis B and C hepatic lesion

TL;DR: In hepatitis B tissue lesions, genes involved in inflammation were predominant, whereas in hepatitis C, expression of anti-inflammatory response genes was relatively dominant, shedding new light on the possible differential molecular mechanisms in the pathogenesis of hepatitis caused by hepatitis B virus and hepatitis C virus infection.
Journal ArticleDOI

Over-expression of FoxM1 stimulates cyclin B1 expression.

TL;DR: Quantitation of cyclin B1 and D1 levels using flow cytometric, Western and Northern analyses reveals that elevated FoxM1 levels lead to stimulation of cyclIn B1 but not cyclin D1 expression, while transient reporter assays in the dox‐inducible lines and upon co‐transfection with a constitutive FoxM 1 expression plasmid suggest that FoxM2 can activate the cyclinB1 promoter.
Journal ArticleDOI

Reuse of imputed data in microarray analysis increases imputation efficiency.

TL;DR: A new cluster-based imputation method called sequential K-nearest neighbor (SKNN) method, which imputes the missing values sequentially from the gene having least missing values, and uses the imputed values for the later imputation.
Journal ArticleDOI

Inference from clustering with application to gene-expression microarrays.

TL;DR: A model-based clustering toolbox is applied to gene-expression clustering based on cDNA microarrays using real data and results include error tables and graphs, confusion matrices, principal-component plots, and validation measures.
Journal ArticleDOI

Generating and navigating proteome maps using mass spectrometry

TL;DR: This paper presents a new generation of proteome maps and analytical strategies that use these maps as prior information and shows the potential to greatly enhance the impact of proteomics on biological and clinical research.
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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