Karen H. Schmidt

Haploinsufficiency of the Pten tumor suppressor gene promotes prostate cancer progression

The PTEN gene encodes a lipid phosphatase that negatively regulates the phosphatidylinositol 3-kinase pathway and is inactivated in a wide variety of malignant neoplasms. High rates of loss of heterozygosity are observed at the 10q23.3 region containing the human PTEN gene in prostate cancer and other human malignancies, but the demonstrated rate of biallelic inactivation of the PTEN gene by mutation or homozygous deletion is significantly lower than the rate of loss of heterozygosity. The transgenic adenocarcinoma of mouse prostate model is a well characterized animal model of prostate cancer. Analysis of prostate cancer progression in transgenic adenocarcinoma of mouse prostate mice bred to Pten+/− heterozygous mice, coupled with analysis of the Pten gene and protein in the resulting tumors, reveals that haploinsufficiency of the Pten gene promotes the progression of prostate cancer in this model system. This observation provides a potential explanation for the discordance in rates of loss of heterozygosity at 10q23 and biallelic PTEN inactivation observed in prostate cancer and many human malignancies.

Predicting mutation frequencies in stem-loop structures of derepressed genes: implications for evolution.

This work provides evidence that, during transcription, the mutability (propensity to mutate) of a base in a DNA secondary structure depends both on the stability of the structure and on the extent to which the base is unpaired. Zukers DNA folding computer program reveals the most probable stem–loop structures (SLSs) and negative energies of folding (–ΔG) for any given nucleotide sequence. We developed an interfacing program that calculates (i) the percentage of folds in which each base is unpaired during transcription; and (ii) the mutability index (MI) for each base, expressed as an absolute value and defined as follows: MI = (% total folds in which the base is unpaired) × (highest –ΔG of all folds in which it is unpaired). Thus, MIs predict the relative mutation or reversion frequencies of unpaired bases in SLSs. MIs for 16 mutable bases in auxotrophs, selected during starvation in derepressed genes, are compared with 70 background mutations in lacI and ebgR that were not derepressed during mutant selection. All the results are consistent with the location of known mutable bases in SLSs. Specific conclusions are: (i) Of 16 mutable bases in transcribing genes, 87% have higher MIs than the average base of the sequence analysed, compared with 50% for the 70 background mutations. (ii) In 15 of the mutable bases of transcribing genes, the correlation between MIs and relative mutation frequencies determined experimentally is good. There is no correlation for 35 mutable bases in the lacI gene. (iii) In derepressed auxotrophs, 100% of the codons containing the mutable bases are within one codons length of a stem, compared with 53% for the background mutable bases in lacI. (iv) The data suggest that environmental stressors may cause as well      as     select     mutations     in     derepressed     genes. The implications of these results for evolution are discussed.

Mechanisms by which transcription can regulate somatic hypermutation

Mechanisms for somatic hypermutation (SHM) have proven elusive. An actively transcribed substrate was analyzed to elucidate the role of stem–loop structures (SLSs) in SHM. Analysis with a new computer algorithm indicates that the location and mutability of a base are regulated by: (a) the extent to which it is unpaired, (b) the degree to which it is exposed by stabilization of SLSs containing and flanking it, and (c) the level of transcription that drives supercoiling, which creates and stabilizes SLSs containing unpaired bases vulnerable to mutation. New mechanisms are described by which transcription can differentially stabilize SLSs harboring targeted bases and establish specific base exposure patterns. Assuming that transcription levels correlate with the magnitude of superhelicity induced and the lengths of ssDNA forming SLSs, this analysis accounts for the location of all mutable bases during SHM.

Uncoupling reproduction from metabolism extends chronological lifespan in yeast

Significance All cells age and do so in relation to how many times a cell divides (replicative aging) and how long a nondividing cell can live (chronological aging). Bakers’ yeast has been used to study both, but because yeast divides when nutrient levels permit, the genetics of its chronological lifespan has only been studied under calorie restriction, mimicked by starvation. Because many terminally differentiated animal cells are long-lived and rarely starve, we developed a model of cell lifespan under calorie-unrestricted conditions. When encapsulated and fed ad libitum, yeast goes into cell cycle arrest, continues to be metabolically active, and remains viable for weeks, offering a new experimental paradigm to study chronological lifespan in the absence of calorie restriction. Studies of replicative and chronological lifespan in Saccharomyces cerevisiae have advanced understanding of longevity in all eukaryotes. Chronological lifespan in this species is defined as the age-dependent viability of nondividing cells. To date this parameter has only been estimated under calorie restriction, mimicked by starvation. Because postmitotic cells in higher eukaryotes often do not starve, we developed a model yeast system to study cells as they age in the absence of calorie restriction. Yeast cells were encapsulated in a matrix consisting of calcium alginate to form ∼3 mm beads that were packed into bioreactors and fed ad libitum. Under these conditions cells ceased to divide, became heat shock and zymolyase resistant, yet retained high fermentative capacity. Over the course of 17 d, immobilized yeast cells maintained >95% viability, whereas the viability of starving, freely suspended (planktonic) cells decreased to <10%. Immobilized cells exhibited a stable pattern of gene expression that differed markedly from growing or starving planktonic cells, highly expressing genes in glycolysis, cell wall remodeling, and stress resistance, but decreasing transcription of genes in the tricarboxylic acid cycle, and genes that regulate the cell cycle, including master cyclins CDC28 and CLN1. Stress resistance transcription factor MSN4 and its upstream effector RIM15 are conspicuously up-regulated in the immobilized state, and an immobilized rim15 knockout strain fails to exhibit the long-lived, growth-arrested phenotype, suggesting that altered regulation of the Rim15-mediated nutrient-sensing pathway plays an important role in extending yeast chronological lifespan under calorie-unrestricted conditions.

The effect of promoter strength, supercoiling and secondary structure on mutation rates in Escherichia coli

Four mutations resulting in opal stop codons were individually engineered into a plasmid‐borne chloramphenicol‐resistance (cat) gene driven by the lac promoter. These four mutations were located at different sites in secondary structures. The mutations were analysed with the computer program mfg, which predicted their relative reversion frequencies. Reversion frequencies determined experimentally correlated with the mutability of the bases as predicted by mfg. To examine the effect of increased transcription on reversion frequencies, the lac promoter was replaced with the stronger tac promoter, which resulted in 12‐ to 30‐fold increases in reversion rates. The effect of increased and decreased supercoiling was also investigated. The cat mutants had higher reversion rates in a topA mutant strain with increased negative supercoiling compared with wild‐type levels, and the cat reversion rates were lower in a topA gyrB mutant strain with decreased negative supercoiling, as predicted.

II. Correlations between secondary structure stability and mutation frequency during somatic hypermutation

The role of secondary structures and base mutability at different levels of transcription and supercoiling is analyzed in variable region antibody genes VH5, VH94 and VH186.2. The data are consistent with a model of somatic hypermutation in which increasing levels of transcription and secondary structure stability correlate with the initial formation of successive mutable sites. Encoded differences exist in stem length and the number of GC pairs at low versus high levels of transcription in CDRs. These circumstances simplify the complexities of coordinating mutagenesis by confining this process to each mutable site successively, as they form in response to increasing levels of transcription during affinity maturation.

Stability of Cross-Feeding Polymorphisms in Microbial Communities.

Cross-feeding, a relationship wherein one organism consumes metabolites excreted by another, is a ubiquitous feature of natural and clinically-relevant microbial communities and could be a key factor promoting diversity in extreme and/or nutrient-poor environments. However, it remains unclear how readily cross-feeding interactions form, and therefore our ability to predict their emergence is limited. In this paper we developed a mathematical model parameterized using data from the biochemistry and ecology of an E. coli cross-feeding laboratory system. The model accurately captures short-term dynamics of the two competitors that have been observed empirically and we use it to systematically explore the stability of cross-feeding interactions for a range of environmental conditions. We find that our simple system can display complex dynamics including multi-stable behavior separated by a critical point. Therefore whether cross-feeding interactions form depends on the complex interplay between density and frequency of the competitors as well as on the concentration of resources in the environment. Moreover, we find that subtly different environmental conditions can lead to dramatically different results regarding the establishment of cross-feeding, which could explain the apparently unpredictable between-population differences in experimental outcomes. We argue that mathematical models are essential tools for disentangling the complexities of cross-feeding interactions.

Mechanisms of genotoxin-induced transcription and hypermutation in p53

It is widely assumed that genotoxin-induced damage (e.g., G-to-T transversions) to the tumor suppressor gene, p53, is a direct cause of cancer. However, genotoxins also induce the stress response, which upregulates p53 transcription and the formation of secondary structures from ssDNA. Since unpaired bases are thermodynamically unstable and intrinsically mutable, increased transcription could be the cause of hypermutation, and thus cancer. Support for this hypothesis has been obtained by analyzing 6662 mutations in all types of cancer compared to lung and colon cancers, using the p53 mutation database. The data suggest that genotoxins have two independent effects: first, they induce p53 transcription, which increases the number of mutable bases that determine the incidence of cancer. Second, genotoxins may alter the fate, or ultimate mutation of a mutable base, for example, by causing more of the available mutable Gs to mutate to T, leaving fewer to mutate to A. Such effects on the fate of mutable bases have no impact on the incidence of cancer, as both types of mutations lead to cancer.

Kinetic models reveal the in vivo mechanisms of mutagenesis in microbes and man.

This review summarizes the evidence indicating that mutagenic mechanisms in vivo are essentially the same in all living cells. Unique metabolic reactions to a particular environmental stress apparently target specific genes for increased rates of transcription and mutation, resulting in higher mutation rates for those genes most likely to solve the problem. Kinetic models which have demonstrated predictive value are described and are shown to simulate mutagenesis in vivo in Escherichia coli, the p53 tumor suppressor gene, and somatic hypermutation. In all three models, direct correlations are seen between mutation frequencies and transcription rates. G and C nucleosides in single-stranded DNA (ssDNA) are intrinsically mutable, and G and C silent mutations in p53 and in VH framework regions provide compelling evidence for intrinsic mechanisms of mutability, since mutation outcomes are neutral and are not selected. During transcription, the availability of unpaired bases in the ssDNA of secondary structures is rate-limiting for, and determines the frequency of mutations in vivo. In vitro analyses also verify the conclusion that intrinsically mutable bases are in fact located in ssDNA loops of predicted stem-loop structures (SLSs).

Streamlined preparation of genomic DNA in agarose plugs for pulsed-field gel electrophoresis

Genome analysis using pulsed-field gel electrophoresis (PFGE) has been used in applications ranging from typing bacterial strains to radiobiology to cancer research. While methods for running PFGE have been significantly improved since its invention, the method for preparing chromosomal DNA itself has remained essentially unchanged. This limits the applicability of PFGE, especially when analyses require many samples. We have streamlined sample preparation for routine applications of PFGE through the use of deep-well 48-well plates. Besides saving time, our protocol has the added advantage of reducing the volume of expensive reagents. Our improved protocol enables us to reduce throughput time and simplify the procedure, facilitating wider application of PFGE-based analyses in the laboratory.