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
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The Sirtuins Hst3 and Hst4p Preserve Genome Integrity by Controlling Histone H3 Lysine 56 Deacetylation
Ivana Celic,Hiroshi Masumoto,Wendell P. Griffith,Pamela B. Meluh,Robert J. Cotter,Jef D. Boeke,Alain Verreault +6 more
TL;DR: The results underscore the critical importance of Hst3/Hst4p in controlling histone H3 K56Ac and thereby maintaining chromosome integrity and thereby maintain chromosome integrity.
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A mechanical basis for chromosome function
Nancy Kleckner,Denise Zickler,Gareth H. Jones,Job Dekker,R. Padmore,Jim Henle,John N. Hutchinson +6 more
TL;DR: It is proposed that chromosome function is governed by internal mechanical forces generated by programmed tendencies for expansion of the DNA/chromatin fiber against constraining features.
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Interdependent nuclear accumulation of budding yeast Cdt1 and Mcm2-7 during G1 phase.
Seiji Tanaka,John F.X. Diffley +1 more
TL;DR: It is shown that, like Mcm2–7p, Cdt1p accumulates in the nucleus during G1 phase and is excluded from the nucleus later in the cell cycle by cyclin dependent kinases (cdks).
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Computational Methods for the Identification of Differential and Coordinated Gene Expression
TL;DR: The theoretical and computational approaches used to identify genes differentially expressed, delineate clusters of genes sharing coherent expression features, eventually defining global biological pathways are reviewed.
Journal ArticleDOI
Generalized singular value decomposition for comparative analysis of genome-scale expression data sets of two different organisms
TL;DR: A comparative mathematical framework for two genome-scale expression data sets that formulates expression as superposition of the effects of regulatory programs, biological processes, and experimental artifacts common to both data sets by using generalized singular value decomposition is described.
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
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.