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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Cellular Noise Regulons Underlie Fluctuations in Saccharomyces cerevisiae
Jacob Stewart-Ornstein,Jonathan S. Weissman,Jonathan S. Weissman,Hana El-Samad,Hana El-Samad +4 more
TL;DR: The results argue that a limited number of well-delineated "noise regulons" operate across a yeast cell and that such coordinated fluctuations enable a stochastic but coherent induction of functionally related genes.
Journal ArticleDOI
Mps3p is a novel component of the yeast spindle pole body that interacts with the yeast centrin homologue Cdc31p
TL;DR: Genetic interactions between MPS3 and CDC31 and binding of CDC31p to Mps3p in vitro, as well as the fact that Cdc31p localization to the SPB is partially dependent on Mps2p function, suggest that one function for Mps 3p during SPB duplication is to recruit Cdc 31p, the yeast centrin homologue, to the half-bridge.
Journal ArticleDOI
Identification of cell cycle–regulated genes periodically expressed in U2OS cells and their regulation by FOXM1 and E2F transcription factors
Gavin D. Grant,Lionel Brooks,Xiaoyang Zhang,J. Matthew Mahoney,Viktor Martyanov,Tammara A. Wood,Gavin Sherlock,Chao Cheng,Michael L. Whitfield +8 more
TL;DR: Characterization of the cell cycle–regulated transcripts in U2OS cells yielded 1871 unique genes, and FOXM1 targets were identified via ChIP-seq, and novel targets in G2/M and S phases were verified using a real-time luciferase assay.
Journal ArticleDOI
Application of cDNA microarrays to generate a molecular taxonomy capable of distinguishing between colon cancer and normal colon.
Tong Tong Zou,Florin M. Selaru,Yan Xu,Valentina Shustova,Jing Yin,Yuriko Mori,David Shibata,Fumiaki Sato,Suma Wang,Andreea Olaru,Elena Deacu,Thomas C. Liu,John M. Abraham,Stephen J. Meltzer +13 more
TL;DR: It is concluded that cDNA microarraying, combined with bioinformatics tools, can accurately classify colon specimens according to current histopathological taxonomy and holds promise of providing invaluable insight into specific gene roles in the development and progression of colon cancer.
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Systems toxicology: applications of toxicogenomics, transcriptomics, proteomics and metabolomics in toxicology
TL;DR: It is argued that in the (near) future, human health risk assessment will truly benefit from toxicogenomics (systems toxicology), and the advantages and limitations of the different technologies are evaluated.
References
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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: 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.
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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
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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.