Databases and software for the analysis of mutations in the human p53 gene, human hprt gene and both the lacI and lacZ gene in transgenic rodents

Molecular Analysis of Mutations in the Human HPRT Gene

The HPRT assay uses incorporation of toxic nucleotide analogues to select for cells lacking the purine scavenger enzyme hypoxanthine-guanine phosphoribosyl transferase. A major advantage of this assay is the ability to isolate mutant cells and determine the molecular basis for their functional deficiency. Many types of analyses have been performed at this locus: the current protocol involves generation of a cDNA and multiplex PCR of each exon, including the intron/exon junctions, followed by direct sequencing of the products. This analysis detects point mutations, small deletions and insertions within the gene, mutations affecting RNA splicing, and the products of illegitimate V(D)J recombination within the gene. Establishment of and comparisons with mutational spectra hold the promise of identifying exposures to mutation-inducing genotoxicants from their distinctive pattern of gene-specific DNA damage at this easily analyzed reporter gene.

RNA splicing in human disease and in the clinic

Defects at the level of the pre-mRNA splicing process represent a major cause of human disease. Approximately 15-50% of all human disease mutations have been shown to alter functioning of basic and auxiliary splicing elements. These elements are required to ensure proper processing of pre-mRNA splicing molecules, with their disruption leading to misprocessing of the pre-mRNA molecule and disease. The splicing process is a complex process, with much still to be uncovered before we are able to accurately predict whether a reported genomic sequence variant (GV) represents a splicing-associated disease mutation or a harmless polymorphism. Furthermore, even when a mutation is correctly identified as affecting the splicing process, there still remains the difficulty of providing an exact evaluation of the potential impact on disease onset, severity and duration. In this review, we provide a brief overview of splicing diagnostic methodologies, from in silico bioinformatics approaches to wet lab in vitro and in vivo systems to evaluate splicing efficiencies. In particular, we provide an overview of how the latest developments in high-throughput sequencing can be applied to the clinic, and are already changing clinical approaches.

The cellular and molecular carcinogenic effects of radon exposure: a review

Radon-222 is a naturally occurring radioactive gas that is responsible for approximately half of the human annual background radiation exposure globally. Chronic exposure to radon and its decay products is estimated to be the second leading cause of lung cancer behind smoking, and links to other forms of neoplasms have been postulated. Ionizing radiation emitted during the radioactive decay of radon and its progeny can induce a variety of cytogenetic effects that can be biologically damaging and result in an increased risk of carcinogenesis. Suggested effects produced as a result of alpha particle exposure from radon include mutations, chromosome aberrations, generation of reactive oxygen species, modification of the cell cycle, up or down regulation of cytokines and the increased production of proteins associated with cell-cycle regulation and carcinogenesis. A number of potential biomarkers of exposure, including translocations at codon 249 of TP53 in addition to HPRT mutations, have been suggested although, in conclusion, the evidence for such hotspots is insufficient. There is also substantial evidence of bystander effects, which may provide complications when calculating risk estimates as a result of exposure, particularly at low doses where cellular responses often appear to deviate from the linear, no-threshold hypothesis. At low doses, effects may also be dependent on cellular conditions as opposed to dose. The cellular and molecular carcinogenic effects of radon exposure have been observed to be both numerous and complex and the elevated chronic exposure of man may therefore pose a significant public health risk that may extend beyond the association with lung carcinogenesis.

Network of Cancer Genes: a web resource to analyze duplicability, orthology and network properties of cancer genes

The Network of Cancer Genes (NCG) collects and integrates data on 736 human genes that are mutated in various types of cancer. For each gene, NCG provides information on duplicability, orthology, evolutionary appearance and topological properties of the encoded protein in a comprehensive version of the human protein-protein interaction network. NCG also stores information on all primary interactors of cancer proteins, thus providing a complete overview of 5357 proteins that constitute direct and indirect determinants of human cancer. With the constant delivery of results from the mutational screenings of cancer genomes, NCG represents a versatile resource for retrieving detailed information on particular cancer genes, as well as for identifying common properties of precompiled lists of cancer genes. NCG is freely available at: http://bio.ifom-ieo-campus.it/ncg.

Somatic microindels: analysis in mouse soma and comparison with the human germline

Microindels, defined as mutations that result in a colocalized microinsertion and microdeletion with a net gain or loss of between 1 and 50 nucleotides, may be an important contributor to cancer. We report the first comprehensive analysis of somatic microindels. Our large database of mutations in the lacI transgene of Big Blue((R)) mice contains 0.5% microindels, 2.8% pure microinsertions, and 11.5% pure microdeletions. There appears to be no age, gender, or tissue-type specificity in the frequency of microindels. Of the independent somatic mutations that result in a net in-frame insertion or deletion, microindels are responsible for 13% of protein expansions and 6% of protein contractions. These in-frame microindels may play a crucial role in oncogenesis and evolution via "protein tinkering" (i.e., modest expansion or contraction of proteins). Four characteristics suggest that microindels are caused by unique mechanisms, not just simple combinations of the same mechanisms that cause pure microinsertions and pure microdeletions. First, microinsertions and microdeletions commonly occur at hotspots, but none of the 30 microindels are recurrent. Second, the sizes of the deletions and insertions in microindels are larger and more varied than in pure microdeletions and pure microinsertions. Third, microinsertions overwhelmingly repeat the adjacent base (97%) while the insertions in microindels do so only infrequently (17%). Fourth, analysis of the sequence contexts of microindels is consistent with unique mechanisms including recruitment of translesion DNA synthesis polymerases. The mouse somatic microindels have characteristics similar to those of human germline microindels, consistent with similar causative mechanisms in mouse and human, and in soma and germline.

'A variant of uncertain significance' and the proliferation of human disease gene databases

The rapid accumulation of mutation data has led to the creation of nearly 300 locus-specific mutation databases. These sites may contain a few dozen to almost 20,000 mutations for a given gene. Many of the mutations are uncharacterised and have no known effects on the gene product, the 'variant of uncertain significance'. Here, the statistics of mutation distribution are examined for six different gene databases: BRCA1 and BRCA2, haemoglobin-beta (HBB), HPRT1, CFTR and TP53. The percentage of all possible point mutations for a protein (the mutation space) is calculated for each gene and the question 'How much mutation data is enough?' is raised.

A comparison of somatic mutational spectra in healthy study populations from Russia, Sweden and USA

A comparison of mutation spectra at the hypoxanthine-guanine phosphoribosyl transferase (HPRT) gene of peripheral blood T-lymphocytes may provide an insight into the aetiology of somatic mutation contributing to carcinogenesis and other diseases. To increase the knowledge of mutation spectra in healthy people, we have analysed HPRT mutant T-cells of 50 healthy Russians originally recruited as controls in a study involving Chernobyl clean-up workers [I.M. Jones, H.Galick, P.Kato et al. (2002) Radiat. Res., 158, 424-442]. Reverse transcriptase-polymerase chain reactions and DNA sequencing identified 161 independent mutations among 176 thioguanine-resistant mutants. Forty mutations affected splicing mechanisms and 27 deletions or insertions of 1-60 nt were identified. Ninety-four single base substitutions were identified, including 62 different mutations at 55 different nucleotide positions, of which 19 had not been reported previously in human T-cells. Comparison of this base substitution spectrum with mutation spectra in a USA [K.J.Burkhart-Schultz, C.L. Thompson and I.M. Jones (1996) Carcinogenesis, 17, 1871-1883] and two Swedish populations [A.Podlutsky, A.-M.Osterholm, S.-M.Hou, A. Hofmaier and B. Lambert (1998) Carcinogenesis, 19, 557-566; A.Podlutsky, S.M.Hou, F.Nyberg, G. Pershagen and B. Lambert (1999) Mutat. Res., 431, 325-39] revealed similarity in the type, frequency and distribution of mutations in the four spectra, consistent with aetiologies inherent in human metabolism. There were 15-19 identical mutations in the three pairwise comparisons of Russian with USA and Swedish spectra. Intriguingly, there were 21 mutations unique to the Russian spectrum, and comparison by the Monte Carlo method of W.T. Adams and T.R. Skopek [(1987) J. Mol. Biol., 194, 391-396] indicated that the Russian spectrum was different from both Swedish spectra (P = 0.007, 0.002), but not different from the USA spectrum (P = 0.07) when Bonferroni correction for multiple comparisons was made (P < 0.008 required for significance). Age and smoking did not account for these differences. Other factors causing mutational differences need to be explored.

S-(2-chloroethyl)glutathione-generated p53 mutation spectra are influenced by differential repair rates more than sites of initial dna damage

Several steps occur between the reaction of a chemical with DNA and a mutation, and each may influence the resulting mutation spectrum, i.e. nucleotides at which the mutations occur. The half-mustard S-(2-bro-moethyl)glutathione is the reactive conjugate implicated in ethylene dibromide-induced mutagenesis attributed to the glutathione-dependent pathway. A human p53-driven Ade reporter system in yeast was used to study the factors involved in producing mutations. The synthetic analog S-(2-chloroethyl)glutathione was used to produce DNA damage; the damage to the p53 exons was analyzed using a new fluorescence-based modification of ligation-mediated polymerase chain reaction and an automated sequencer. The mutation spectrum was strongly dominated by the G to A transition mutations seen in other organisms with S-(2-chloroethyl)glutathione or ethylene dibromide. The mutation spectrum clearly differed from the spontaneous spectrum or that derived from N-ethyl,N-nitrosourea. Distinct differences were seen between patterns of modification of p53 DNA exposed to the mutagen in vitro versus in vivo. In the four p53 exons in which mutants were analyzed, the major sites of mutation matched the sites with long half-lives of repair much better than the sites of initial damage. However, not all slowly repaired sites yielded mutations in part because of the lack of effect of mutations on phenotype. We conclude that the rate of DNA repair at individual nucleotides is a major factor in influencing the mutation spectra in this system. The results are consistent with a role of N(7)-guanyl adducts in mutagenesis.

Theoretical analysis of mutation hotspots and their DNA sequence context specificity

Mutation frequencies vary significantly along nucleotide sequences such that mutations often concentrate at certain positions called hotspots. Mutation hotspots in DNA reflect intrinsic properties of the mutation process, such as sequence specificity, that manifests itself at the level of interaction between mutagens, DNA, and the action of the repair and replication machineries. The hotspots might also reflect structural and functional features of the respective DNA sequences. When mutations in a gene are identified using a particular experimental system, resulting hotspots could reflect the properties of the gene product and the mutant selection scheme. Analysis of the nucleotide sequence context of hotspots can provide information on the molecular mechanisms of mutagenesis. However, the determinants of mutation frequency and specificity are complex, and there are many analytical methods for their study. Here we review computational approaches for analyzing mutation spectra (distribution of mutations along the target genes) that include many mutable (detectable) positions. The following methods are reviewed: derivation of a consensus sequence, application of regression approaches to correlate nucleotide sequence features with mutation frequency, mutation hotspot prediction, analysis of oligonucleotide composition of regions containing mutations, pairwise comparison of mutation spectra, analysis of multiple spectra, and analysis of "context-free" characteristics. The advantages and pitfalls of these methods are discussed and illustrated by examples from the literature. The most reliable analyses were obtained when several methods were combined and information from theoretical analysis and experimental observations was considered simultaneously. Simple, robust approaches should be used with small samples of mutations, whereas combinations of simple and complex approaches may be required for large samples. We discuss several well-documented studies where analysis of mutation spectra has substantially contributed to the current understanding of molecular mechanisms of mutagenesis. The nucleotide sequence context of mutational hotspots is a fingerprint of interactions between DNA and DNA repair, replication, and modification enzymes, and the analysis of hotspot context provides evidence of such interactions.

Have environmental mutagens caused oncomutations in people?

Age-specific cancer rates show large historical increases that indict environmental risk factors. But these environmental factors did not necessarily act by increasing oncomutation rates. Mathematical analyses suggest selective effects on pre-existing oncomutants. The widely held hypothesis that environmental chemicals induce a substantial fraction of human point mutations has not been supported by observation. Direct measurement of the kinds and numbers of point mutations in human tissues have, in fact, found no clear relationship with exposure to environmental agents, save for sunlight in the skin. Alternative hypotheses that point mutations arise primarily as errors during turnover of undamaged DNA and that environmental conditions select rather than induce oncomutants seem to better explain the facts of environmental carcinogenesis in humans.

Somatic gene mutation and human disease other than cancer

While the focus of much mutation research is on germ-line mutation, somatic mutation is being found to be important in human disease. Neurofibromatosis 1 and McCune-Albright are disorders which are detected in the skin and other systems. The skin manifestations were essential for the demonstration of somatic mosaicism in neurofibromatosis 1, while analysis of blood DNA demonstrated somatic mutation in neurofibromatosis 2. Incontinentia pigmenti is also a disorder seen in skin and other tissues, but here it is the rare variant of the disorder in males, where it is usually lethal, that involves somatic mosaicism. Paroxysmal nocturnal hemoglobinuria is a disorder of the blood and cell separation of blood elements allows the demonstration of the somatic mosaicism. This review also discusses disorders in which somatic mosaicism, for mutations probably incompatible with life if the mutation had been germ-line, are likely to be involved. These include the Proteus syndrome, which involves both vascular tissues and bones, and two disorders which might be thought of as representing two subtypes of Proteus: Klippel-Trenaunay, which involves vascular tissues, and Maffuci, which involves bones. Embryonic mutations, which create mosaicism for both the soma and germ-line, are being increasingly found in a number of disorders and are discussed more briefly. Finally, reverse mutations involving the soma have been recently found in several disorders and such revertant mutations are also examined. While the review focuses on the clinical importance of somatic mutations, many of the mutations found to date are tabulated. It is too early to see if there is a different pattern of somatic mutation as compared to germ-line mutation. Although the parameters to allow careful quantitation are not yet available, it seems that the frequency of gene mutation in embryonic cells is not markedly different than that in the germ-line.

Mutagenicity of aristolochic acid in the lambda/lacZ transgenic mouse (MutaMouse)

Aristolochic acid (AA) is found in a plant that causes urothelial carcinomas in patients with Chinese herb nephropathy (CHN). To evaluate the in vivo mutagenicity of AA, we analysed the mutant frequency (MF) in the lacZ and cII gene of 10 organs of the lambda/lacZ transgenic mouse (MutaMouse) after intragastric treatment with AA (15mg/kg per week x 4). Simultaneously, the clastogenicity of AA was evaluated by the peripheral blood micronucleus assay. The nature of the mutations induced by AA was revealed by the sequence analysis of the cII gene, which is also a phenotypically selectable marker in the lambda transgene. MFs in the target organs-forestomach, kidney, and bladder of AA-treated mice were significantly higher than those of control mice (forestomach 33- and 15-fold; kidney 10- and 9-fold; bladder 16- and 31-fold, for the lacZ and cII, respectively). The MFs in non-target organs, except the colon, showed only slight increases. Sequence analysis of cII mutants in target organs revealed that AA induced mainly A:T to T:A transversions whereas G:C to A:T transitions at CpG sites predominated among spontaneous mutations. These results suggested that AA, which is activated by cytochrome P450 and peroxidase to form cyclic nitrenium ions that bind to deoxyadenine, caused the A to T transversions in the target organs of mice.

On key lesions and all that: a tribute to Paul Lohman

This paper is a tribute to Paul Lohman at the occasion of his retirement from the position of Professor in the Medical Faculty at the Leiden University in The Netherlands and as Director of its Department of Radiation Genetics and Chemical Mutagenesis. Paul's contributions to the science of genetic toxicology are discussed in the context of more recent insights as to how mammalian cells process DNA damage, and how this may lead to cancer and, possibly, aging. Starting with his work on the characterization of UV-induced DNA repair in cultured cells from xeroderma pigmentosum patients and the development of methodology for monitoring the removal of UV-induced lesions in human cells, the concept of the key lesion is introduced. Among the myriad of DNA lesions that can be induced in DNA as a consequence of exposure to a range of natural or synthetic mutagens, key lesions are the ones responsible for subsequent adverse effects, for example, because they give rise to mutation. The development of methods using immunofluorescence microscopy to detect and identify such key lesions and quantitate them at the single cell level, is one of the highlights of Paul's career. Based on the perceived need to evaluate mutational end points in vivo in relation to specific lesions identified by his immunofluorescence methods, Paul subsequently made crucial contributions to the development of the first transgenic mouse model to measure mutations in chromosomally integrated reporter genes. In parallel to his experimental work, Paul greatly contributed to genetic toxicology at the theoretical level by his work on the development and evaluation of methods for assessment or prediction of risks of exposure to environmental mutagens. Finally, Paul has served the discipline of genetic toxicology in a more administrative role in various ways, both locally as one of the founders of the Medical Genetics Center South-West Netherlands and internationally by playing a prominent role in organizations such as ICPEMC. Here, his numerous contributions to the journal Mutation Research, both as author on many papers and as Executive Managing Editor should not go unmentioned.

The unexpected landscape of in vivo somatic mutation in a human epithelial cell lineage

Few data exist on somatic mutation in the epithelial cell lineages that play a central role in human biology and disease. To delineate the "landscape" of somatic mutation in a human epithelial cell lineage, we determined the frequency and molecular nature of somatic mutations occurring in vivo in the X-linked HPRT gene of kidney tubular epithelial cells. Kidney epithelial mutants were frequent (range 0.5 to 4.2 x 10(-4)) and contained a high proportion of unreported HPRT base substitutions, -1-bp deletions and multiple mutations. This spectrum of somatic mutation differed from HPRT mutations identified in human peripheral blood T lymphocytes and from germ-line HPRT mutations identified in Lesch-Nyhan syndrome or hyperuricemia patients. Our results indicate that DNA damage and mutagenesis may have unusual or mechanistically interesting features in kidney tubular epithelium, and that somatic mutation may play a more important role in human kidney disease than has been previously appreciated.

Accumulation of somatic mutations in proliferating T cell clones from children treated for leukemia

There is continued controversy as to the sequential steps and mechanism(s) responsible for the in vivo acquisition of multiple mutations during neoplastic transformation. We investigated the in vivo clonality and mutational spectra of hypoxanthine-guanine phosphoribosyltransferase (HPRT) mutations in T cells from children with acute lymphocytic leukemia (ALL) to gain insight into the mutagenic mechanisms associated with leukemogenesis. We observed several instances of multiple, independent HPRT mutations accumulating in vivo in T cell receptor (TCR) gene defined clones that had undergone extensive pre- and/or post-thymic expansion following chemotherapy. In addition, we also detected the accumulation of multiple unique single mutations within distinct expanding post-thymic T cell clones. This pattern of clonally restricted hypermutability is compatible with extensive cell proliferation and selection alone without postulating genomic instability. These observations provide a paradigm for a continuum of cellular events that eventually results in the clonal accumulation of mutations in selected populations of cells in vivo and may provide insight into the primary genetic events associated with leukemogenesis, as well as the development of second malignancies and drug resistance following chemotherapy.

Mutation spectrum of o-aminoazotoluene in the cII gene of lambda/lacZ transgenic mice (MutaMouse)

The o-aminoazotoluene (AAT) has been evaluated as a possible human carcinogen by the International Agency for Research on Cancer. In rodents, it is carcinogenic mainly in the liver, and also in lung following long term administration. We previously examined in lambda/lacZ transgenic mice for the induction of lacZ mutations in liver, lung, urinary bladder, colon, kidney, bone marrow, and testis. AAT induced gene mutations strongly in the liver and colon. In the present report, we reveal the molecular nature of mutations induced by AAT in the lambda cII gene (the cII gene, a phenotypically selectable marker in the lambda transgene, has 294bp, which makes it easier to sequence than the original target, the 3kb lacZ gene). The cII mutant frequency in liver and colon was five and nine times higher, respectively, in AAT-treated mice than in control mice. Sequence analysis revealed that AAT induced G:C to T:A transversions, whereas spontaneous mutations consisted primarily of G:C to A:T transitions at CpG sites.

Temporal delineation of sequential HPRT mutations arising in vivo in a T-cell clone with a mutator phenotype

Recurrent mutations in vivo in T-lymphocytes identify clonally restricted genomic instabilities in some individuals. Cell-based assays allow initial recognition of clones with mutator phenotypes, but genotypic selection is required to determine frequencies and temporal sequences of potentially independent mutational events isolated only as complex changes in the same allele. The present work illustrates how two single-base insertions in the HPRT gene recovered only as a double event in a cell-based assay were shown to arise as separate in vivo mutations, being individually present at frequencies of < or =10(-4) and < or =10(-5), respectively, in peripheral blood. Full characterizations of mutator clones will allow elucidation of the earliest events in the emergence of genomic instability in human somatic cells.

Use of mutation spectra analysis software

The study and comparison of mutation(al) spectra is an important problem in molecular biology, because these spectra often reflect on important features of mutations and their fixation. Such features include the interaction of DNA with various mutagens, the function of repair/replication enzymes, and properties of target proteins. It is known that mutability varies significantly along nucleotide sequences, such that mutations often concentrate at certain positions, called "hotspots," in a sequence. In this paper, we discuss in detail two approaches for mutation spectra analysis: the comparison of mutation spectra with a HG-PUBL program, (FTP: sunsite.unc.edu/pub/academic/biology/dna-mutations/hyperg) and hotspot prediction with the CLUSTERM program (www.itba.mi.cnr.it/webmutation; ftp.bionet.nsc.ru/pub/biology/dbms/clusterm.zip). Several other approaches for mutational spectra analysis, such as the analysis of a target protein structure, hotspot context revealing, multiple spectra comparisons, as well as a number of mutation databases are briefly described. Mutation spectra in the lacI gene of E. coli and the human p53 gene are used for illustration of various difficulties of such analysis.

IARC p53 mutation database: a relational database to compile and analyze p53 mutations in human tumors and cell lines. International Agency for Research on Cancer

The tumor suppressor p53 gene is the most frequently mutated gene in human cancer. To date, more than 10,000 mutations have been described in the literature, and these data are available in various electronic formats on the World Wide Web. Here we describe the structure and format of the different p53 datasets maintained and curated at the International Agency for Research on Cancer (IARC) in Lyon, France. These include p53 somatic mutations (more than 10,000 entries), p53 germline mutations (144 entries), and p53 polymorphisms (13 entries), with the somatic mutations organized into a relational database using AccessTM. The main features of these datasets are (1) controlled entry with standardized format and restricted vocabulary, (2) inclusion of annotations on individual characteristics and exposures, and (3) a classification of pathologies based on the International Classification of Diseases for Oncology (ICD-O). In addition, several interfaces have been developed to analyze the data in order to produce mutation spectra, codon analyses, or visualization of the mutation with the tertiary structure of the protein. All datasets and tools for analysis are available at http://www.iarc.fr/p53/homepage.

Mismatch repair deficient human cells: spontaneous and MNNG-induced mutational spectra in the HPRT gene

We have determined both the spontaneous and N-methyl-N'-nitro-N-nitrosoguanidine (MNNG)-induced mutational spectra in the HPRT gene of human cells (MT1) defective in the mismatch repair gene hMSH6 (GTBP). Eight of nine exons and nine of sixteen intronic flanking sequences were scanned, encompassing >900 bp of the HPRT gene. Mutant hotspots were detected and separated by differences in their melting temperatures using constant denaturant capillary electrophoresis (CDCE) or denaturing gradient gel electrophoresis (DGGE).A key finding of this work is that a high proportion of all HPRT inactivating mutations is represented by a small number of hotspots distributed over the exons and mRNA splice sites. Thirteen spontaneous hotspots and sixteen MNNG-induced hotspots accounted for 55% and 48% of all 6TG(R) point mutations, respectively. MNNG-induced hotspots were predominantly G:C-->A:T transitions. The spontaneous spectrum of cells deficient in hMSH6 contained transversions (A:T-->T:A, G:C-->T:A, A:T-->C:G), transitions (A:T-->G:C), a plus-one insertion, and a minus-one deletion. Curiously, G:C-->A:T transitions, which dominate human germinal and somatic point mutations were absent from the spontaneous hMSH6 spectra.

Emergence of genetic instability in children treated for leukemia

T cells from patients who had received chemotherapy for B-lineage acute lymphocytic leukemia were studied to determine whether genetic instability, a principal characteristic of cancer cells, can also occur in nonmalignant cells. Consistent with expectations for a genetic instability phenotype, multiple mutations were detected in the hypoxanthine-guanine phosphoribosyltransferase (HPRT) reporter gene in independently isolated mutant T cells expressing identical rearranged T cell receptor beta (TCRbeta) gene hypervariable regions. These results indicate that cancer treatment can lead to genetic instability in nonmalignant cells in some individuals. They also suggest a mechanistic paradigm for the induction of second malignancies and drug resistance.

Modeling the mouse lymphoma forward mutational assay: the Gene-Tox program database

An SAR model of the induction of mutations at the tk(+/-) locus of L5178Y mouse lymphoma cells (MLA, for mouse lymphoma assay) was derived based upon a re-evaluation of experimental results reported by a Gene-Tox (GT) working group [A.D. Mitchell, A.E. Auletta, D. Clive, P.E. Kirby, M.M. Moore, B.C. Myhr, The L5178Y/tk(+/-) mouse lymphoma specific gene and chromosomal mutation assay. A phase III report of the U.S. Environmental Protection Agency Gene-Tox Program, Mutation Res. 394 (1997) 177-303.]. The predictive performance of the GT MLA SAR model was similar to that of a Salmonella mutagenicity model containing the same number of chemicals. However, the structural determinants (biophores) derived from the GT MLA SAR model include both electrophilic as well as non-electrophilic moieties, suggesting that the induction of mutations in the MLA may occur by both direct interaction with DNA and by non-DNA-related mechanisms. This was confirmed by the observation that the set of biophores associated with MLA overlapped significantly with those associated with phenomena related to loss of heterozygosity, chromosomal rearrangements and aneuploidy. The MLA SAR model derived from the GT data evaluation was significantly more predictive than an SAR model previously derived from MLA data reported by the US National Toxicology Program [B. Henry, S.G. Grant, G. Klopman, H.S. Rosenkranz, Induction of forward mutations at the thymidine kinase locus of mouse lymphoma cells: evidence for electrophilic and non-electrophilic mechanisms, Mutation Res. 397 (1998) 331-335.]. Moreover, the latter model appeared to be more complex than the former, suggesting that the GT induction data was both simpler mechanistically and more homogeneous than that of the NTP.

Biochemical characterization of different conformational states of the Sf9 cell-purified p53His175 mutant protein

In this study, we expressed and purified the p53 mutant encoded by the His175 allele (p53His175) in a baculovirus expression system in order to study the folding and the DNA binding activity of the protein. A two-site ELISA revealed that purified p53His175 protein preferentially displayed a PAb1620 conformation, which appeared to be not sufficient to interact specifically with DNA. The cryptic DNA binding activity of this mutant was then investigated by electrophoretic mobility shift assay in the presence of anti-p53 antibodies, and shown to be refractory to significant activation by PAb421 (a potent allosteric activator of wild-type p53's DNA binding activity). Nevertheless, p53His175 DNA binding was regulated by antibodies targeting the N-terminal region of the protein. Furthermore, while the protein preferentially displayed a PAb1620 conformation, our data suggested the existence of an equilibrium between at least two folding states of the protein (PAb1620 and PAb240 conformations). A model rationalizing the conformation, antibody-interacting ability and DNA binding regulation potential of p53His175 is presented.

Similarity pattern analysis in mutational distributions

The validity and applicability of the statistical procedure - similarity pattern analysis (SPAN) - to the study of mutational distributions (MDs) was demonstrated with two sets of data. The first was mutational spectra (MS) for 697 GC to AT transitions produced with eight alkylating agents (AAs) in the lacI gene of Escherichia coli. The second was a recently summarized data on the distributions of 11562 spontaneous, radiation- and chemical-induced forward mutations in the ad-3 region of heterokaryon 12 of Neurospora crassa. They were analyzed as large two-way contingency tables (CTs) where two kinds of profiles were compared: site (or genotypic class) profiles and origin (or mutagen) profiles. To measure similarity (homogeneity) between any pair of profiles, the relevant sufficient statistics, Kastenbaum-Hirotsu squared distance (KHi(2)), was used. Collapsing the similar profiles into distinct internally homogeneous clusters named 'collapsets' revealed their similarity pattern. To facilitate the procedure, the computer program, COLLAPSE, was elaborated. The results of SPAN for the lacI spectra were found comparable with the results of their previous analysis with two multivariate statistical methods, the factor and cluster analyses. In the ad-3 data set, five collapsets were revealed among origin profiles (OPs): (I) ENU = 4NQO = 4HAQO = FANFT = SQ18506; (II) AF-2 = EI = MMS = DEP; (III) ETO = UV; (IV) AHA = PROCARB; and (V) He ions = protons. Moreover, the previous observation that MDs are dose-dependent was confirmed for X-ray-induced MDs. Profiles induced with the low doses of X-rays are similar to that induced with 85Sr, and profiles induced with the medium X-ray doses to those induced with protons and He ions. Evaluated similarities appear to be rather reasonable: mutagens with similar mode of action induce similar MDs. Similarity pattern revealed among genotypic class profiles (GCPs) seems to be also interpretable. When supplemented with descriptive cluster analysis, SPAN appears to be a fruitful methodology in MS analysis.

IARC Database of p53 gene mutations in human tumors and cell lines: updated compilation, revised formats and new visualisation tools

Since 1989, about 570 different p53 mutations have been identified in more than 8000 human cancers. A database of these mutations was initiated by M. Hollstein and C. C. Harris in 1990. This database originally consisted of a list of somatic point mutations in the p 53 gene of human tumors and cell lines, compiled from the published literature and made available in a standard electronic form. The database is maintained at the International Agency for Research on Cancer (IARC) and updated versions are released twice a year (January and July). The current version (July 1997) contains records on 6800 published mutations and will surpass the 8000 mark in the January 1998 release. The database now contains information on somatic and germline mutations in a new format to facilitate data retrieval. In addition, new tools are constructed to improve data analysis, such as a Mutation Viewer Java applet developed at the European Bioinformatics Institute (EBI) to visualise the location and impact of mutations on p53 protein structure. The database is available in different electronic formats at IARC (http://www.iarc. fr/p53/homepage.htm ) or from the EBI server (http://www.ebi.ac.uk ). The IARC p53 website also provides reports on database analysis and links with other p53 sites as well as with related databases. In this report, we describe the criteria for inclusion of data, the revised format and the new visualisation tools. We also briefly discuss the relevance of p 53 mutations to clinical and biological questions.