Comprehensive Identification of Cell Cycle–regulated Genes of the Yeast Saccharomyces cerevisiae by Microarray Hybridization
Paul T. Spellman,Gavin Sherlock,Gavin Sherlock,Michael Q. Zhang,Vishwanath R. Iyer,Kirk R. Anders,Michael B. Eisen,Patrick O. Brown,Patrick O. Brown,David Botstein,Bruce Futcher +10 more
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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...read more
Citations
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Adaptively inferring human transcriptional subnetworks.
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Inferring Gene Regulatory Networks from Time-Ordered Gene Expression Data Using Differential Equations
TL;DR: This work proposes to infer the degree of sparseness of the gene regulatory network from the data, where it determines which coefficients are nonzero by using Akaike's Information Criterion.
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Rap1 relocalization contributes to the chromatin-mediated gene expression profile and pace of cell senescence
Jesse M. Platt,Paul Ryvkin,Jennifer J. Wanat,Greg Donahue,M. Dan Ricketts,Steven P. Barrett,Hannah J. Waters,Shufei Song,Alejandro Chavez,Khaled Omar Abdallah,Stephen R. Master,Li-San Wang,F. Brad Johnson +12 more
TL;DR: Rap1 relocalization is a novel mechanism connecting DNA damage responses at telomeres to global changes in chromatin and gene expression while driving the pace of senescence.
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Haspin: A Mitotic Histone Kinase Required for Metaphase Chromosome Alignment
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Statistical resynchronization and Bayesian detection of periodically expressed genes
TL;DR: Gene ontology annotation analysis shows that many of the 822 genes were involved in important cell cycle-related processes, functions and components and may have brought cells to the same phase at the time of release.
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.
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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
Raymond J. Cho,Michael J. Campbell,Elizabeth A. Winzeler,Lars M. Steinmetz,Andrew R. Conway,Lisa Wodicka,Tyra G. Wolfsberg,Andrei Gabrielian,David Landsman,David J. Lockhart,Ronald W. Davis +10 more
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.