scispace - formally typeset
Open AccessJournal ArticleDOI

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

Reads0
Chats0
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...

read more

Citations
More filters
Journal ArticleDOI

Transcriptional programs of early reproductive stages in Arabidopsis

TL;DR: This study analyzes the expression profile of more than 22,000 genes present on the Arabidopsis ATH1 microarray to identify genes with specific functions during reproduction and finds a significant enrichment of predicted secreted proteins smaller than 15 kD that could function directly as signaling molecules or as precursors for peptide hormones.
Journal ArticleDOI

Genomic-scale gene expression profiling of normal and malignant immune cells.

TL;DR: Using cDNA microarrays, a systematic, genomic-scale view of gene expression in immune cells at many stages of differentiation and activation can be obtained and appears remarkably ordered and logical.
Journal ArticleDOI

Interacting models of cooperative gene regulation

TL;DR: A computational method based on multivariate adaptive regression splines to correlate the occurrences of transcription factor binding motifs in the promoter DNA and their interactions to the logarithm of the ratio of gene expression levels, which allows for significant motifs and combinations to be appropriately predicted at each stage of the cell cycle.
Journal ArticleDOI

Reconstructing gene-regulatory networks from time series, knock-out data, and prior knowledge

TL;DR: It is shown that short time series generated under transcription factor knock-out are optimal experiments in order to reveal the structure of gene regulatory networks and the benefit of using of prior knowledge within a Bayesian learning framework is limited to conditions of small gene expression data size.
Proceedings ArticleDOI

Using Bayesian networks to analyze expression data

TL;DR: This paper proposes a new framework for discovering interactions between genes based on multiple expression measurements, and presents an efficient algorithm capable of learning such networks and statistical method to assess confidence in their features.
References
More filters
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.
Related Papers (5)