Dataset Information

VennMaster: area-proportional Euler diagrams for functional GO analysis of microarrays.

ABSTRACT:

Background

Microarray experiments generate vast amounts of data. The functional context of differentially expressed genes can be assessed by querying the Gene Ontology (GO) database via GoMiner. Directed acyclic graph representations, which are used to depict GO categories enriched with differentially expressed genes, are difficult to interpret and, depending on the particular analysis, may not be well suited for formulating new hypotheses. Additional graphical methods are therefore needed to augment the GO graphical representation.

Results

We present an alternative visualization approach, area-proportional Euler diagrams, showing set relationships with semi-quantitative size information in a single diagram to support biological hypothesis formulation. The cardinalities of sets and intersection sets are represented by area-proportional Euler diagrams and their corresponding graphical (circular or polygonal) intersection areas. Optimally proportional representations are obtained using swarm and evolutionary optimization algorithms.

Conclusion

VennMaster's area-proportional Euler diagrams effectively structure and visualize the results of a GO analysis by indicating to what extent flagged genes are shared by different categories. In addition to reducing the complexity of the output, the visualizations facilitate generation of novel hypotheses from the analysis of seemingly unrelated categories that share differentially expressed genes.

SUBMITTER: Kestler HA

PROVIDER: S-EPMC2335321 | biostudies-literature | 2008 Jan

REPOSITORIES: biostudies-literature

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Publications

VennMaster: area-proportional Euler diagrams for functional GO analysis of microarrays.

Kestler Hans A HA Müller André A Kraus Johann M JM Buchholz Malte M Gress Thomas M TM Liu Hongfang H Kane David W DW Zeeberg Barry R BR Weinstein John N JN

BMC bioinformatics 20080129

<h4>Background</h4>Microarray experiments generate vast amounts of data. The functional context of differentially expressed genes can be assessed by querying the Gene Ontology (GO) database via GoMiner. Directed acyclic graph representations, which are used to depict GO categories enriched with differentially expressed genes, are difficult to interpret and, depending on the particular analysis, may not be well suited for formulating new hypotheses. Additional graphical methods are therefore need ...[more]

PMID: 18230172

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Project description:"Background: The ascomycete Fusarium fujikuroi causes “bakanae” disease of rice due to its ability to produce gibberellins (GA), but is also known for producing a broad spectrum of other secondary metabolites, (SM) such as pigments and harmful mycotoxins. Biosynthesis of multiple SM is regulated by nitrogen availability. The global GATA transcription factors (TF) AreA and AreB were shown to play key roles in this nitrogen-dependent regulation. Recently, we have shown that AreA activates the transcription of AREB, but not vice versa. Both regulators interact in the nucleus, indicating a complex regulatory interplay between both regulators. Results: We performed transcriptome and proteome analyses of the wild type and ΔAREA and ΔAREB mutants under nitrogen limiting and sufficient conditions. Microarray analysis revealed that each transcription factor regulates a total set of about 4,200 genes under nitrogen limiting conditions. Gene enrichment analysis revealed that significantly up- and down-regulated genes belong to functional classes of primary/secondary metabolism, transporters, cell defense/virulence and transcription. Under nitrogen excess, AreA is not active as a transcriptional regulator, while AreB affects expression of about 4,400 genes. Both transcription factors regulate a common set of about 2,100 genes, often coordinately either as positive or as negative regulators. Our proteomics analysis identified 446 AreA-regulated and 386 AreB-regulated proteins under nitrogen limitation and 138 AreA-regulated and 447 AreB-regulated proteins under nitrogen sufficiency, respectively. Comparison of the proteome and transcriptome data indicates that both GATA-factors not only regulate expression of target genes but also affect protein abundance by post-transcriptional regulations, for example on enzymes involved in glutamate cycling, as well as histone acetylation at some of the target SM gene clusters. Conclusion: This study provides novel insights into the AreA- and AreB-mediated regulation network on a cellular scale. Microarray analysis clearly demonstrated that both GATA-factors are major regulators of alternate nitrogen assimilatory pathways and secondary metabolism. Moreover, proteome analysis of the AREA and AREB deletion mutants showed that both TF are global players interconnecting carbon and nitrogen regulation. They mainly act as mutualistic, but also antagonistic regulators and operate by transcriptional and post-transcriptional regulations and epigenetic modifications." (Abstract taken from manuscript)

Dataset Information

VennMaster: area-proportional Euler diagrams for functional GO analysis of microarrays.

Background

Results

Conclusion

Publications

VennMaster: area-proportional Euler diagrams for functional GO analysis of microarrays.

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