Publications by authors named "Dennis K Reschke"

The VH5 human antibody gene was analyzed using a computer program (mfg) which simulates transcription, to better understand transcription-driven mutagenesis events that occur during "phase 1" of somatic hypermutation. Results show that the great majority of mutations in the non-transcribed strand occur within loops of two predicted high-stability stem-loop structures, termed SLSs 14.9 and 13.

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Transcription drives supercoiling which forms and stabilizes single-stranded (ss) DNA secondary structures with loops exposing G and C bases that are intrinsically mutable and vulnerable to non-enzymatic hydrolytic reactions. Since many studies in prokaryotes have shown direct correlations between the frequencies of transcription and mutation, we conducted in silico analyses using the computer program, mfg, which simulates transcription and predicts the location of known mutable bases in loops of high-stability secondary structures. Mfg analyses of the p53 tumor suppressor gene predicted the location of mutable bases and mutation frequencies correlated with the extent to which these mutable bases were exposed in secondary structures.

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Escherichia coli auxotrophs of leuB and argH were examined to determine if higher rates of transcription in derepressed genes were correlated with increased reversion rates. Rates of leuB and argH mRNA synthesis were determined using half-lives and concentrations, during exponential growth and at several time points during 30 min of amino acid starvation. Changes in mRNA concentration were primarily due to increased mRNA synthesis and not to increased stability.

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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. Zuker's DNA folding computer program reveals the most probable stem-loop structures (SLSs) and negative energies of folding (-DeltaG) 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) x (highest -DeltaG of all folds in which it is unpaired).

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A DNA folding analysis indicates that the most hypermutable bases in exons 5, 7, and 8 of the p53 tumor suppressor gene are located immediately next to stems in stable DNA stem-loop structures. On the basis of the highest negative energy (-DeltaG) value of the structures containing each mutable bases and on the extent to which each base is unpaired during transcription, their relative mutabilities are calculated using a new computer algorithm. These predicted mutation frequencies correlate well with those observed in 14,000 human cancers (R(2) = 0.

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