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A yeast model system for functional analysis of beta-catenin signaling.

The Journal of cell biology | 2002

We have developed a novel Saccharomyces cerevisiae model system to dissect the molecular events of beta-catenin (beta-cat) signaling. Coexpression of mammalian beta-cat with TCF4 or LEF1 results in nuclear accumulation of these proteins and a functional complex that activates reporter gene transcription from constructs containing leukocyte enhancer factor (LEF)/T cell factor (TCF) response elements. Reporter transcription is constitutive, requires expression of both beta-cat and TCF4 or LEF1, and is not supported by mutated LEF/TCF binding elements or by TCF4 or LEF1 mutants. A cytoplasmic domain of E-cadherin or a functional fragment of adenomatous polyposis coli (APC) protein (APC-25) complexes with beta-cat, reduces beta-cat binding to TCF4, and leads to increased cytoplasmic localization of beta-cat and a reduction in reporter activation. Systematic mutation of putative nuclear export signal sequences in APC-25 decreases APC-25 binding to beta-cat and restores reporter gene transcription. Additional beta-cat signaling components, Axin and glycogen synthase kinase 3beta, form a multisubunit complex similar to that found in mammalian cells. Coexpression of the F-box protein beta-transducin repeat-containing protein reduces the stability of beta-cat and decreases reporter activation. Thus, we have reconstituted a functional beta-cat signal transduction pathway in yeast and show that beta-cat signaling can be regulated at multiple levels, including protein subcellular localization, protein complex formation, and protein stability.

Pubmed ID: 12235124 RIS Download

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SPOT - Biological prioritization after a SNP association study (tool)

RRID:SCR_005193

A web-based tool for using biological databases to prioritize single nucleotide polymorphisms (SNPs) after a genome-wide association study (GWAS). The site allows users to upload a list of SNPs and GWAS P-values and returns a prioritized list of SNPs using the GIN method. Users can specify candidate genes or genomic regions with custom levels of prioritization. The results can be downloaded or viewed in the browser where users can interactively explore the details of each SNP, including graphical representations of the genomic information network (GIN) method. For investigators interested in incorporating biological databases into a post-GWAS SNP selection strategy, the SPOT web tool is an easily implemented and flexible solution.

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