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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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Citations
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Gene Ontology: tool for the unification of biology

TL;DR: The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing.
Journal ArticleDOI

Molecular classification of cancer: class discovery and class prediction by gene expression monitoring.

TL;DR: A generic approach to cancer classification based on gene expression monitoring by DNA microarrays is described and applied to human acute leukemias as a test case and suggests a general strategy for discovering and predicting cancer classes for other types of cancer, independent of previous biological knowledge.
Journal ArticleDOI

Survey of clustering algorithms

TL;DR: Clustering algorithms for data sets appearing in statistics, computer science, and machine learning are surveyed, and their applications in some benchmark data sets, the traveling salesman problem, and bioinformatics, a new field attracting intensive efforts are illustrated.
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The Perseus computational platform for comprehensive analysis of (prote)omics data.

TL;DR: The Perseus software platform was developed to support biological and biomedical researchers in interpreting protein quantification, interaction and post-translational modification data and it is anticipated that Perseus's arsenal of algorithms and its intuitive usability will empower interdisciplinary analysis of complex large data sets.
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A General Framework for Weighted Gene Co-Expression Network Analysis

TL;DR: A general framework for `soft' thresholding that assigns a connection weight to each gene pair is described and several node connectivity measures are introduced and provided empirical evidence that they can be important for predicting the biological significance of a gene.
References
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Journal ArticleDOI

Starting the cell cycle: what's the point?

TL;DR: Specialization of function among the three genetically redundant CLN genes is becoming apparent, and the probable molecular basis of Start is defined to be activation of Cln-Cdc28 protein kinase complexes.
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Met31p and Met32p, two related zinc finger proteins, are involved in transcriptional regulation of yeast sulfur amino acid metabolism.

TL;DR: The identification of two new factors, Met31p and Met32p, that recognize the second cis-acting element of the sulfur network emphasise the diversity of the mechanisms allowing regulation of the expression of the methionine biosynthetic genes.

Mcm1 Is Required To Coordinate G 2 -Specific Transcription inSaccharomyces cerevisiae

TL;DR: It is shown that Mcm1 depletion has a distinct effect on cell cycle progression by preventing cells from undergoing mitosis, and constitutive CLB2 expression does not suppress the mitotic defect, and therefore other essential activities required for the G2-to-M transition must also depend on Mcm 1 function.
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7 Cell Cycle Control in Saccharomyces cerevisiae

TL;DR: This chapter attempts to provide a coherent picture of what is known about the temporal control of the Saccharomyces cerevisiae cell cycle in the context of the unified theory of cell cycle control that is believed to apply to all eukaryotic cells.
Journal ArticleDOI

A new role for MCM1 in yeast: cell cycle regulation of SW15 transcription.

TL;DR: A strong correlation between the ability of mutated SWI5 promoter sequences to form a ternary MCM1-SFF-containing complex in vitro and to activate transcription in vivo is observed, which suggests that efficient transcription requires that both proteins bind DNA.
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