Yeast Genetics and Molecular Biology 2002
University of Wisconsin
Madison, Wisconsin USA
July 30 - August 4, 2002


Name: Storici, Francesca
Mailing Address: Lab. of Molecular Genetics, NIEHS, NIH, 111 Alexander Dr., RTP, NC 27709, US
Email Address: storici@niehs.nih.gov
Phone & FAX numbers: 919-316-4592 & 919-541-7593

Abstract #509


Session Title: Global Analysis
Presentation: Poster
Topic: Global Analysis

Many p53 mutations found in human tumors retain partial function based on analysis in yeast.
Francesca Storici (1), Alberto Inga (1), Mark King (1), Janet Liu (1), Tracy Thompson (2), Jack Taylor (3), Michael Resnick (1)
(1) Lab. of Molecular Genetics, NIEHS, NIH, 111 Alexander Dr., RTP, NC 27709, US; (2) Epidemiology Branch, NIEHS, NIH, Research Triangle Park, NC; (3) Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC

p53 is a transactivation factor that targets >50 genes in human cells. Over 40% of tumors are associated with p53 missense mutations and >70% of these occur at non-hot spot codons. Their biological activity has not been well characterized. Some of the mutations appear to result in partial loss of p53 transactivation function. p53 transactivation activity can be assessed easily using an ADE2 color assay (white/red) in yeast where transcription is initiated by p53 binding at response elements (20-22 bp) upstream from ADE2. The assay evaluates p53 codons 53-364, where 99% of tumor mutations are reported. A small screen of bladder cancer cell lines and tumors identified 6 alleles (among 10) with a novel partial function phenotype (pink speckled). To address the importance of partial-function p53 mutations, we mutagenized p53 and selected alleles with reduced transactivation activity toward p21, RGC and MDM2 response elements. 57 different mutants with single amino acid changes were identified. 65% of these are found in the tumor p53 database and represent 2% of all p53 tumor missense mutations. A yeast luciferase-reporter assay was developed to quantify the level of residual activity. Since our mutagenesis screen was far from saturation, we predict that mutations retaining partial function can be as high as 20% of all p53 tumor mutations. This approach to functional characterization of tumor mutations can be used to better understand tumor development and treatment.


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