Signaling and Circuitry of Multiple MAPK Pathways Revealed by a Matrix of Global Gene Expression Profiles

Abstract

Genome-wide transcript profiling was used to monitor signal transduction during yeast pheromone response. Genetic manipulations allowed analysis of changes in gene expression underlying pheromone signaling, cell cycle control, and polarized morphogenesis. A two-dimensional hierarchical clustered matrix, covering 383 of the most highly regulated genes, was constructed from 46 diverse experimental conditions. Diagnostic subsets of coexpressed genes reflected signaling activity, cross talk, and overlap of multiple mitogen-activated protein kinase (MAPK) pathways. Analysis of the profiles specified by two different MAPKs—Fus3p and Kss1p—revealed functional overlap of the filamentous growth and mating responses. Global transcript analysis reflects biological responses associated with the activation and perturbation of signal transduction pathways.

Keywords

Signal transductionBiologyGeneMating of yeastMAPK/ERK pathwayCell biologyGene expressionGeneticsGene expression profilingCrosstalkRegulation of gene expressionSaccharomyces cerevisiaeComputational biology

Affiliated Institutions

Related Publications

Analysis of gene expression identifies candidate markers and pharmacological targets in prostate cancer.

John Welsh , Lisa M. Sapinoso , Andrew I. Su +5 more

Detection, treatment, and prediction of outcome for men with prostate cancer increasingly depend on a molecular understanding of tumor development and behavior. We characterized...

2001 PubMed 854 citations

Expression Atlas update—an integrated database of gene and protein expression in humans, animals and plants

Robert Petryszak , Maria Keays , Amy Tang +21 more

Expression Atlas (http://www.ebi.ac.uk/gxa) provides information about gene and protein expression in animal and plant samples of different cell types, organism parts, developme...

2015 Nucleic Acids Research 548 citations

Transcriptional Regulatory Networks in <i>Saccharomyces cerevisiae</i>

Tong Ihn Lee , Nicola J. Rinaldi , François Robert +18 more

We have determined how most of the transcriptional regulators encoded in the eukaryote Saccharomyces cerevisiae associate with genes across the genome in living cells. Just as m...

2002 Science 2972 citations

PADGE: analysis of heterogeneous patterns of differential gene expression

Li Li , Amitabha Chaudhuri , John Chant +1 more

We have devised a novel analysis approach, percentile analysis for differential gene expression (PADGE), for identifying genes differentially expressed between two groups of het...

2007 Physiological Genomics 19 citations

Identification of gene expression profiles that predict the aggressive behavior of breast cancer cells.

Deborah A. Zajchowski , Marty F. Bartholdi , Yun Gong +7 more

With the goal of identifying genes that have an expression pattern that can facilitate the diagnosis of primary breast cancers (BCs) as well as the discovery of novel drug leads...

2001 PubMed 302 citations

Publication Info

Year: 2000
Type: article
Volume: 287
Issue: 5454
Pages: 873-880
Citations: 864
Access: Closed

External Links

View on DOI.org

Social Impact

Altmetric

Signaling and Circuitry of Multiple MAPK Pathways Revealed by a Matrix of Global Gene Expression Profiles

PlumX Metrics

Social media, news, blog, policy document mentions

Citation Metrics

864

OpenAlex

Cite This

APA Style

                            
                                
                                    Christopher J. Roberts, 
                                
                                    Bryce Nelson, 
                                
                                    Matthew J. Marton
                                
                                et al.
                            
                            (2000). 
                            Signaling and Circuitry of Multiple MAPK Pathways Revealed by a Matrix of Global Gene Expression Profiles. 
                            Science
                            , 287
                            (5454)
                            , 873-880.
                            https://doi.org/10.1126/science.287.5454.873
                        

Identifiers

DOI: 10.1126/science.287.5454.873