Sampling-rate-dependent probabilistic Boolean networks

External control of a genetic regulatory network is used for the purpose of avoiding undesirable states, such as those associated with a disease. To date, intervention has mainly focused on the external control of probabilistic Boolean networks via the associated discrete-time discrete-space Markov processes. Implementation of an intervention policy derived for probabilistic Boolean networks requires nearly continuous observation of the underlying biological system since precise application requires the observation of all transitions. In medical applications, as in many engineering problems, the process is sampled at discrete time intervals and a decision to intervene or not must be made at each sample point. In this work, sampling-rate-dependent probabilistic Boolean network is proposed as an extension of probabilistic Boolean network. The proposed framework is capable of capturing the sampling rate of the underlying system.     

Evidence for significant heritability of apoptotic and cell cycle responses to ionising radiation

Genetic factors are likely to affect individual cancer risk, but few quantitative estimates of heritability are available. Public health radiation protection policies do not in general take this potentially important source of variation in risk into account. Two surrogate cellular assays that relate to cancer susceptibility have been developed to gain an insight into the role of genetics in determining individual variation in radiosensitivity. These flow cytometric assays for apoptosis induction and cell cycle delay following radiation are sufficiently sensitive to distinguish lymphocytes from a healthy donor population from those of a sample of obligate carriers of ATM mutations (P = 0.01 and P = 0.02, respectively). Analysis of 54 unselected twin pairs (38 dizygotic, 16 monozygotic) indicated much greater intrapair correlation in response in monozygotic than in dizygotic pairs. Structural equation modelling indicated that models including unique environmental factors only fitted the data less well than those incorporating two or more of additive genetic factors, common environmental factors and unique environmental factors. A model incorporating additive genetic factors and unique environmental factors yielded estimates of heritability for the two traits of 68% (95% CI 40–82%, cell cycle) and 59% (95% CI 22–79%, apoptosis). Thus, these data suggest that genetic factors contribute significantly to human variation in these two measures of radiosensitivity that relate to cancer susceptibility.     

Rapid procedure for isolation and detection of Salmonella plasmids

A rapid procedure is described for the isolation of high quality and quantity plasmid DNA from Salmonella. Plasmids of molecular mass ranging from 10 kbp to 147 kbp were isolated. The method yielded enough DNA from the low copy number virulence plasmids of various Salmonella serovars for visualization on an agarose gel. The method is based on the classic alkaline lysis methods, employing the same reagents, but without any incubation steps. Isolation of plasmid DNA was also attempted with the use of rapid DNA isolation kits, but without success. It was reasoned that endonucleases, present in the resin, might have degraded the plasmids. © Rapid Science Ltd. 1998     

Optimal Constrained Stationary Intervention in Gene Regulatory Networks

A key objective of gene network modeling is to develop intervention strategies to alter regulatory dynamics in such a way as to reduce the likelihood of undesirable phenotypes. Optimal stationary intervention policies have been developed for gene regulation in the framework of probabilistic Boolean networks in a number of settings. To mitigate the possibility of detrimental side effects, for instance, in the treatment of cancer, it may be desirable to limit the expected number of treatments beneath some bound. This paper formulates a general constraint approach for optimal therapeutic intervention by suitably adapting the reward function and then applies this formulation to bound the expected number of treatments. A mutated mammalian cell cycle is considered as a case study.     

Use of a Recombinant Fluorescent Substrate with Cleavage Sites for All Botulinum Neurotoxins in High-Throughput Screening of Natural Product Extracts for Inhibitors of Serotypes A, B, and E

The seven serotypes of botulinum neurotoxin (BoNTs) are zinc metalloproteases that cleave and inactivate proteins critical for neurotransmission. The synaptosomal protein of 25 kDa (SNAP-25) is cleaved by BoNTs A, C, and E, while vesicle-associated membrane protein (VAMP) is the substrate for BoNTs B, D, F, and G. BoNTs not only are medically useful drugs but also are potential bioterrorist and biowarfare threat agents. Because BoNT protease activity is required for toxicity, inhibitors of that activity might be effective for antibotulinum therapy. To expedite inhibitor discovery, we constructed a hybrid gene encoding (from the N terminus to the C terminus, with respect to the expressed product) green fluorescent protein, then a SNAP-25 fragment encompassing residues Met-127 to Gly-206, and then VAMP residues Met-1 to Lys-94. Cysteine was added as the C terminus. The expressed product, which contained the protease cleavage sites for all seven botulinum serotypes, was purified and coupled covalently through the C-terminal sulfhydryl group to maleimide-activated 96-well plates. The substrate was readily cleaved by BoNTs A, B, D, E, and F. Using this assay and an automated 96-well pipettor, we screened 528 natural product extracts for inhibitors of BoNT A, B, and E protease activities. Serotype-specific inhibition was found in 30 extracts, while 5 others inhibited two serotypes.     

Intervention in Context-Sensitive Probabilistic Boolean Networks Revisited

An approximate representation for the state space of a context-sensitive probabilistic Boolean network has previously been proposed and utilized to devise therapeutic intervention strategies. Whereas the full state of a context-sensitive probabilistic Boolean network is specified by an ordered pair composed of a network context and a gene-activity profile, this approximate representation collapses the state space onto the gene-activity profiles alone. This reduction yields an approximate transition probability matrix, absent of context, for the Markov chain associated with the context-sensitive probabilistic Boolean network. As with many approximation methods, a price must be paid for using a reduced model representation, namely, some loss of optimality relative to using the full state space. This paper examines the effects on intervention performance caused by the reduction with respect to various values of the model parameters. This task is performed using a new derivation for the transition probability matrix of the context-sensitive probabilistic Boolean network. This expression of transition probability distributions is in concert with the original definition of context-sensitive probabilistic Boolean network. The performance of optimal and approximate therapeutic strategies is compared for both synthetic networks and a real case study. It is observed that the approximate representation describes the dynamics of the context-sensitive probabilistic Boolean network through the instantaneously random probabilistic Boolean network with similar parameters.     

Altered levels of Salmonella DNA adenine methylase are associated with defects in gene expression, motility, flagellar synthesis, and bile resistance in the pathogenic strain 14028 but not in the laboratory strain LT2

Comparative genomic analysis has revealed limited strain diversity between Salmonella pathogenic and nonpathogenic isolates. Thus, some of the relative virulence and host-immune response disparities may be credited to differential gene regulation rather than gross differences in genomic content. Here we show that altered levels of Salmonella DNA adenine methylase (Dam) resulted in acute defects in virulence-associated gene expression, motility, flagellin synthesis, and bile resistance in the Salmonella pathogenic strain 14028 but not in avirulent laboratory strain LT2. The defects in motility exhibited by 14028 in response to altered Dam levels was not dependent on the presence of the regulatory protein, RpoS. The transitioning between flagellar types (phase variation) was also differentially regulated in 14028 versus LT2 in response to dam levels, resulting in distinct differences in flagellin expression states. These data suggest that differential gene regulation may contribute to the relative virulence disparities observed between Salmonella serovars that are closely related at the DNA level.