Genomic expression programs in the response of yeast cells to environmental changes.

By Audrey P. Gasch, P. Spellman, Camilla M. Kao, O. Carmel-Harel, Michael B. Eisen, G. Storz, David Botstein, Patrick O. Brown. Molecular Biology of the Cell, 2000

5,157 citations recorded by the source corpus.

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/af2b7af47ff23290f75a48ba2fd1ad1a9aca1dde

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Citations in the corpus

DIP, the Database of Interacting Proteins: a research tool for studying cellular networks of protein interactions (2002, background): “Currently, besides numerous visualization options, JDIP provides access to a number of genome-wide mRNA expression datasets (13), which can be analyzed after mapping them onto the underlying protein interaction network.”
Decision trees for hierarchical multi-label classification (2008, neutral): “[20] (gasch1) 3773 173 D4 Homology search [11] (hom) 3867 47034 D10 Gasch et al.”
Integrated genomic and proteomic analyses of a systematically perturbed metabolic network. (2001, background): “Das war bis dato nur von Hefekulturen unter Stressbedinungen[4] bekannt.”
Cell wall construction in Saccharomyces cerevisiae (2006, methodology): “Global transcript analyses of cells in stationary phase are consistent with these results, showing that the SED1 transcript level increases more than 10-fold [53].”
Identifying regulatory networks by combinatorial analysis of promoter elements (2001, background): “Similar observations have been made by analyzing gene expression clusters in other stress-inducing microarray studies 28 .”
Genome-wide discovery of transcriptional modules from DNA sequence and gene expression (2003, methodology): “For the stress data, we use 1010 genes which showed a significant change in expression, excluding members of the generic stress response cluster (Gasch et al., 2000).”
Discrimination between paralogs using microarray analysis: application to the Yap1p and Yap2p transcriptional networks. (2002, result): “Although previous experiments with DNA microarrays demonstrated that a number of genes involved in stress response show Yap1p-dependent expression (Gasch et al., 2000), little is known about the differences between genes regulated by Yap1p versus Yap2p.”
Capturing Heterogeneity in Gene Expression Studies by Surrogate Variable Analysis (2007, background): “Major sources of expression variation are due to technical [3,4], environmental [5,6], demographic [7,8], or genetic [9–”
Osmotic Stress Signaling and Osmoadaptation in Yeasts (2002, background): “The mRNA level of about 220 to 300 genes (depending on the study [86, 191]) increases under a range of different stress conditions.”
Wishart distributions for decomposable covariance graph models (2011, methodology): “ can be implemented. 6.1. Genomics example. We provide an illustration of our methods on a data set consisting of gene expression data from microarray experiments with yeast strands from Gasch et al. [13]. This data set has also been analyzed in [4, 11]. As in [4, 11], we consider a subset of eight ”