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Monica Hollstein

Publications and source records attributed to Monica Hollstein.

5 recordsLinked to original sources

Human tumor p53 mutations are selected for in mouse embryonic fibroblasts harboring a humanized p53 gene.

To date, there has been no way to examine induced human p53 gene mutations in cell cultures exposed to mutagenic factors, other than by restriction site analysis. Here, we used embryonic cells from our Hupki (human p53 knock-in) mouse strain to generate human p53 DNA-binding domain (DBD) mutations experimentally. Twenty cultures of untreated primary mouse Hupki fibroblasts and 20 short-wavelength UV light (UVC)-treated cultures (20J/m(2)) were passaged >20 times. Established Hupki embryonic fibroblast cell lines (HUFs) were genotyped by dideoxy DNA sequencing of p53 exons 4-9. Seven of the HUFs harbored point mutations in the humanized p53 DBD. Of the 9 mutations (6 single- and 1 triple-site mutation), 2 were at the most frequently mutated codons in human cancers (c.248 and c.273). The Affymetrix p53 GeneChip assay also readily identified the 6 single-base substitutions. All mutations in HUFs from UV-treated cultures were at dipyrimidine sites, including 3 nontranscribed strand C -->T transitions. The mutant HUFs were deficient in p53 transactivation function, and missense mutants had high levels of nuclear p53 protein. In a second experiment, primary Hupki cells were exposed to the carcinogen aristolochic acid I (AAI). Five of 10 cultures that became established within 2 months harbored p53 DBD mutations. All were transversions, including 4 A --> T substitutions on the nontranscribed strand, a hallmark of DNA mutation by AAI. We conclude that establishment of Hupki mouse fibroblasts in culture readily selects for p53 DBD mutations found in human tumors, providing a basis for generating experimental mutation patterns in human p53.

Animals↗

Cell type- and promoter-specific roles of Ser18 phosphorylation in regulating p53 responses.

Phosphorylation of mouse p53 at Ser18 occurs after DNA damage. To determine the physiological roles of this phosphorylation event in p53-dependent DNA damage responses, a Ser18 to Ala missense mutation was introduced into the germline of mice. Thymocytes and fibroblasts from the knock-in mice show reduced transactivation of many p53 target genes following DNA damage. p53 protein stabilization and DNA binding are similar in knock-in and wild type mice, but C-terminal acetylation was defective, consistent with a role for Ser18 in the recruitment of transcriptional co-activators. The apoptotic response of knock-in thymocytes to ionizing radiation is intermediate between that of wild type and p53 null thymocytes. Despite impaired transcriptional and apoptotic responses, the knock-in mice are not prone to spontaneous tumorigenesis. This indicates that neither phosphorylation of p53 on Ser18 by ATM nor a full transcriptional response is essential to prevent spontaneous tumor formation in mice.

Animals↗

Mouse models for generating P53 gene mutation spectra.

The p53 tumor suppressor gene lends itself to mutation spectra analysis, because the frequency of point mutations in human tumors is high, the locations of inactivating tumor mutations are numerous and dispersed, and all possible base substitutions are observed in human cancer. P53 tumor mutations induced experimentally in mice exposed to carcinogens have been described, but have not yet contributed significantly to our understanding of mutagenic mechanisms or of the origins of mutations in human cancers. Recently, gene-targeting technology has allowed development of a new mouse model, which explores experimentally the endogenous and environmental factors that may contribute to neoplastic disease in humans.

Animals↗

The IARC TP53 database: new online mutation analysis and recommendations to users.

Mutations in the tumor suppressor gene TP53 are frequent in most human cancers. Comparison of the mutation patterns in different cancers may reveal clues on the natural history of the disease. Over the past 10 years, several databases of TP53 mutations have been developed. The most extensive of these databases is maintained and developed at the International Agency for Research on Cancer. The database compiles all mutations (somatic and inherited), as well as polymorphisms, that have been reported in the published literature since 1989. The IARC TP53 mutation dataset is the largest dataset available on the variations of any human gene. The database is available at www.iarc.fr/P53/. In this paper, we describe recent developments of the database. These developments include restructuring of the database, which is now patient-centered, with more detailed annotations on the patient (carcinogen exposure, virus infection, genetic background). In addition, a new on-line application to retrieve somatic mutation data and analyze mutation patterns is now available. We also discuss limitations on the use of the database and provide recommendations to users.

Computational Biology↗

Decrease and gain of gene expression are equally discriminatory markers for prostate carcinoma: a gene expression analysis on total and microdissected prostate tissue.

Information on over- and underexpressed genes in prostate cancer in comparison to adjacent normal tissue was sought by DNA microarray analysis. Approximately 12,600 mRNA sequences were analyzed from a total of 26 tissue samples (17 untreated prostate cancers, 9 normal adjacent to prostate cancer tissues) obtained by prostatectomy. Hierarchical clustering was performed. Expression levels of 63 genes were found significantly (at least 2.5-fold) increased, whereas expression of 153 genes was decreased (at least 2.5-fold) in prostate cancer versus adjacent normal tissue. In addition to previously described genes such as hepsin, overexpression of several genes was found that has not drawn attention before, such as the genes encoding the specific granule protein (SGP28), alpha-methyl-acyl-CoA racemase, low density lipoprotein (LDL)-phospholipase A2, and the anti-apoptotic gene PYCR1. The radiosensitivity gene ATDC and the genes encoding the DNA-binding protein inhibitor ID1 and the phospholipase inhibitor uteroglobin were significantly down-regulated in the cancer samples. DNA microarray data for eight genes were confirmed quantitatively in five normal and five cancer tissues by real-time reverse transcriptase-polymerase chain reaction with a high correlation between the two methods. Laser capture microdissection of epithelial and stromal compartments from cancer and histological normal specimens followed by an amplification protocol for low levels of RNA (<0.1 microg) allowed us to distinguish between gene expression profiles characteristic of epithelial cells and those typical of stroma. Most of the genes identified in the nonmicrodissected tumor material as up-regulated were indeed overexpressed in cancerous epithelium rather than in the stromal compartment. We conclude that development of prostate cancer is associated with down-regulation as well as up-regulation of genes that show complex differential regulation in epithelia and stroma. Some of the gene expression alterations identified in this study may prove useful in the development of novel diagnostic and therapeutic strategies.

Adenocarcinoma↗