V(D)J recombination and the transgenic brain blues.

The existence of somatic, site-specific recombination in the central nervous system (CNS) has long been hypothesized but has been difficult to investigate experimentally. The finding that RAG-1, which is thought to encode a component of the site-specific recombination machinery of the immune system, is transcribed in the central nervous system (J.J.M. Chun et al., 1991, Cell 64:189-200), has renewed interest in this issue. Two groups (M. Kawaichi et al., 1991, J Biol Chem 266:18,376-18,394; M. Matsuoka et al., 1991, Science 254:81-86) have now reported the results of transgenic mouse experiments designed to determine whether cells of the CNS can perform a site-specific recombination reaction similar to that of lymphocytes. Despite extensive similarities in the design of the two experiments, they yielded discordant results and contradictory conclusions. An analysis of the two studies suggests some explanations for the discrepancies and leads us to two conclusions: first, that the CNS does not carry out the same somatic, site-specific recombination reaction as is found in the immune system and, second, that the question of whether other site-specific recombination processes occur in the brain remains open and largely unaddressed.     

New insights into manganese toxicity and speciation

Manganese (Mn) is known to be a neurotoxic agent for nearly 175 years now. A lot of research has therefore been carried out over the last century. From preliminary describing only symptoms of Mn-(over)exposed workers, research was preceded to more detail on toxic mechanisms of Mn. Unraveling those neurotoxic mechanisms implicated a number of studies, which were summarized partly in several reviews (e.g. Yokel RA. Neuromol Med 2009;11(4):297–310; Aschner M, et al. Toxicology Appl Pharmacol 2007;221(2):131–47; Michalke B, et al. J Environ Monit 2007;9(7):650). Since our recent review on Mn-speciation in 2007 (Michalke B, et al. J Environ Monit 2007;9(7):650), Mn-research was considerably pushed forward and several new research articles were published. The very recent years though, Mn toxicity investigating science is spreading into different fields with very detailed and complex study designs. Especially the mechanisms of Mn-induced neuronal injury on cellular and molecular level was investigated in more detail, discussing neurotransmitter and enzyme interactions, mechanisms of action on DNA level and even inclusion of genetic influences. Depicting the particular Mn-species was also a big issue to determine which molecule is transporting Mn at the cell membranes and which one is responsible for the injury of neuronal tissue. Other special foci on epidemiologic studies were becoming more and more important: These foci were directed toward environmental influences of Mn on especially Parkinson disease prevalence and the ability to carry out follow-up studies about Mn-life-span exposure. All these very far-reaching research applications may finally lead to a suitable future human Mn-biomonitoring for being able to prevent or at least detect the early onset of manganism at the right time.     

Multilevel selection 3: modeling the effects of interacting individuals as a function of group size

Bijma et al. (2007a,b) presented a quantitative genetic theory of multilevel selection and showed how to estimate the relevant parameters using standard restricted maximum-likelihood (REML) methodology. Extending their results we develop a wider class of models that provide a more realistic framework for capturing the effects of interacting individuals. These models also make use of standard REML techniques and include the original model as a special case.     

Economic well-being, the distribution of income and species imperilment

Mikkelson et al.’s (PLoS One 2(5):e444, 2007) empirical finding of a positive relationship between income inequality and species imperilment in an international context is less-than-compelling for 3 reasons: (a) findings for their limited sample size, which constitutes a relatively small fraction of all countries, may not hold in the context of a more encompassing sample of countries, (b) their aggregate analysis, which includes amphibians, birds, mammals, reptiles, and vascular plants, may mask important taxa-level differences, and (c) the absence of controls for spatial autocorrelation between countries. Using data from 133 countries, we estimate models of factors that influence species imperilment and, controlling for cross-border effects, we reproduce the Mikkelson et al. findings, then demonstrate that they are sensitive to inclusion of additional countries, model specification, and to data aggregation.     

H3K27 demethylases, at long last

Methylation of lysine 27 on histone H3 (H3K27me) by the Polycomb complex (PRC2) proteins is associated with gene silencing in many developmental processes. A cluster of recent papers (Agger et al., 2007; De Santa et al., 2007; Lan et al., 2007; Lee et al., 2007) identify the JmjC-domain proteins UTX and JMJD3 as H3K27-specific demethylases that remove this methyl mark, enabling the activation of genes involved in animal body patterning and the inflammatory response.     

Calcium transport and distribution in Ehrlich mouse ascites tumor cells

Data from isotopic uptake experiments were used to measure calcium fluxes and compartment sizes in ascites tumor cells. The data were analyzed with two kinetic models, A and B. In 80% of the experiments model A, which is based on one exchangeable calcium compartment, was rejected in favor of Model B, which predicts two exchangeable compartments. A statistical evaluation of the model's performance, when fit to the experimental data was used to select between the two models. The results show that calcium was distributed between three cellular compartments in the ratio, non-exchangeable (88%): rapidly exchanging (7%): slowly exchanging (5%). The undirectional fluxes suggested that calcium transport could be described as a series system with the temporal sequence: environment ? rapidly exchanging ? slowly exchanging.     

How much variance is explained by ecologists? Additional perspectives

Oecologia - A recent meta-analysis of meta-analyses by Møller and Jennions (2002, Oecologia 132:492–500) suggested that ecologists using statistical models are explaining between 2.5%...     

Isotopic ecology ten years after a call for more laboratory experiments

About 10 years ago, reviews of the use of stable isotopes in animal ecology predicted explosive growth in this field and called for laboratory experiments to provide a mechanistic foundation to this growth. They identified four major areas of inquiry: (1) the dynamics of isotopic incorporation, (2) mixing models, (3) the problem of routing, and (4) trophic discrimination factors. Because these areas remain central to isotopic ecology, we use them as organising foci to review the experimental results that isotopic ecologists have collected in the intervening 10 years since the call for laboratory experiments. We also review the models that have been built to explain and organise experimental results in these areas.     

Modeling and Estimation of Kinetic Parameters and Replicative Fitness of HIV-1 from Flow-Cytometry-Based Growth Competition Experiments

Growth competition assays have been developed to quantify the relative fitness of HIV-1 mutants. In this article, we develop mathematical models to describe viral/cellular dynamic interactions in the assay system from which the competitive fitness indices or parameters are defined. In our previous HIV-viral fitness experiments, the concentration of uninfected target cells was assumed to be constant (Wu et al. 2006). But this may not be true in some experiments. In addition, dual infection may frequently occur in viral fitness experiments and may not be ignorable. Here, we relax these two assumptions and extend our earlier viral fitness model (Wu et al. 2006). The resulting models then become nonlinear ODE systems for which closed-form solutions are not achievable. In the new model, the viral relative fitness is a function of time since it depends on the target cell concentration. First, we studied the structure identifiability of the nonlinear ODE models. The identifiability analysis showed that all parameters in the proposed models are identifiable from the flow-cytometry-based experimental data that we collected. We then employed a global optimization approach (the differential evolution algorithm) to directly estimate the kinetic parameters as well as the relative fitness index in the nonlinear ODE models using nonlinear least square regression based on the experimental data. Practical identifiability was investigated via Monte Carlo simulations.     

Numerical study of the force network ensemble

The force network ensemble of Snoeijer et al. (Force network ensemble: a new approach to static granular matter, Phys. Rev. Lett. 92 (2004), 054302) is a convenient model to study networks of contact forces that are typically present in granular matter. Recently, we have shown that it is possible to extremely accurately determine the probability distribution of contact forces in the framework of this ensemble (van Eerd et al., Tail of the contact force distribution in static granular materials, Phys. Rev. E 75 (2007), 060302(R); Tighe et al., Entropy maximisation in the force network ensemble for granular solids, Phys. Rev. Lett. 100 (2008), 238001). In this work, we review several important details of these computations. In particular, we study in detail the angle-resolved contact force distribution, finite-size effects, the maximum allowed shear stress and the effect of walls. In addition, we investigate how well the force network ensemble resembles systems with ‘real’ interactions.     

On analyzing circadian rhythms data using nonlinear mixed models with harmonic terms

Wang, Ke, and Brown (2003, Biometrics59, 804-812) developed a smoothing-based approach for modeling circadian rhythms with random effects. Their approach is flexible in that fixed and random covariates can affect both the amplitude and phase shift of a nonparametrically smoothed periodic function. In motivating their approach, Wang et al. stated that a simple sinusoidal function is too restrictive. In addition, they stated that "although adding harmonics can improve the fit, it is difficult to decide how many harmonics to include in the model, and the results are difficult to interpret." We disagree with the notion that harmonic models cannot be a useful tool in modeling longitudinal circadian rhythm data. In this note, we show how nonlinear mixed models with harmonic terms allow for a simple and flexible alternative to Wang et al.'s approach. We show how to choose the number of harmonics using penalized likelihood to flexibly model circadian rhythms and to estimate the effect of covariates on the rhythms. We fit harmonic models to the cortisol circadian rhythm data presented by Wang et al. to illustrate our approach. Furthermore, we evaluate the properties of our procedure with a small simulation study. The proposed parametric approach provides an alternative to Wang et al.'s semiparametric approach and has the added advantage of being easy to implement in most statistical software packages.     

Multivariate Markov process models for the transmission of methicillin-resistant Staphylococcus aureus in a hospital ward

Summary .   Methicillin-resistant Staphylococcus Aureus (MRSA) is a pathogen that continues to be of major concern in hospitals. We develop models and computational schemes based on observed weekly incidence data to estimate MRSA transmission parameters. We extend the deterministic model of McBryde, Pettitt, and McElwain (2007, Journal of Theoretical Biology 245, 470–481) involving an underlying population of MRSA colonized patients and health-care workers that describes, among other processes, transmission between uncolonized patients and colonized health-care workers and vice versa. We develop new bivariate and trivariate Markov models to include incidence so that estimated transmission rates can be based directly on new colonizations rather than indirectly on prevalence. Imperfect sensitivity of pathogen detection is modeled using a hidden Markov process. The advantages of our approach include (i) a discrete valued assumption for the number of colonized health-care workers, (ii) two transmission parameters can be incorporated into the likelihood, (iii) the likelihood depends on the number of new cases to improve precision of inference, (iv) individual patient records are not required, and (v) the possibility of imperfect detection of colonization is incorporated. We compare our approach with that used by McBryde et al. (2007) based on an approximation that eliminates the health-care workers from the model, uses Markov chain Monte Carlo and individual patient data. We apply these models to MRSA colonization data collected in a small intensive care unit at the Princess Alexandra Hospital, Brisbane, Australia.     

Live-cell microscopy of single nuclear chromosomes and genome compartments: evaluation of labeling procedure and imaging conditions.

BACKGROUND: Single chromosomes and genome compartments in nuclei of living mammalian cells can be analyzed microscopically after specific labeling with fluorescent dyes. This is achieved by incorporating fluorescent nucleotides into the chromosomal DNA during replication (Zink et al.: Hum Genet 102:241-251, 1998; Manders et al.: J Cell Biol 144:813-821, 1999; Sadoni et al.: J Cell Biol 146:1211-1226, 1999). We characterized the potential artificial impact of this approach on chromosome structure and dynamics. We also evaluated potential sources of artifacts in corresponding live-cell imaging. MATERIALS AND METHODS: The subchromosomal distribution of labeled DNA was analyzed, and the fate of labeled nucleotides within cell nuclei was studied. Cell-cycle parameters were used to analyze cell function after incorporation of fluorescent nucleotides. The influences of phototoxic effects on cell division and morphology were studied. RESULTS: Fluorescent nucleotides were only incorporated for a restricted time period during S-phase, and a uniform labeling of chromosomal DNA could not be achieved. Fluorescent nucleotides incorporated into the DNA showed no or only mild effects on cell growth. Cell-cycle parameters and cellular morphology were valuable indicators for proper cell function during live-cell imaging. CONCLUSIONS: There is no indication for a substantial impairment of cellular functions if fluorochromes are covalently linked to chromosomal DNA. The controls we present for proper cell function during the imaging period are of general importance, as appropriate controls for live cell microscopy have not yet been well-defined.     

How protein quality drives incorporation rates and trophic discrimination of carbon and nitrogen stable isotope ratios in a freshwater first-feeding fish

1. Using stable isotope ratios to explore the trophic ecology of freshwater animals requires knowledge about effects of food quality on isotopic incorporation dynamics. The aim of this experimental study was to: (1) estimate carbon and nitrogen isotopic incorporation rates and trophic discrimination factors (TDFs) of a freshwater first-feeding fish (i.e. salmonid fry) fed three diets that differed only in protein quality (animal or plant or a blend of both); (2) investigate effects of fasting and; (3) evaluate the proportion of each source assimilated when fry were fed a 50:50 animal:plant-based diet.
2. For each diet, incorporation rates of δ¹³C and δ¹⁵N values were estimated using a time or growth-dependent isotopic incorporation model. Effects of fasting on isotope ratio values were measured regularly until the death of fry. Bayesian stable-isotope mixing models were used to estimate the contribution of animal and plant material to fish fed a blend of both food types.
3. Our results show that incorporation rates were lower for fry fed a plant-based diet than for those fed an animal-based diet as growth rate decreased. Time- and growth-dependent models indicated that growth was solely responsible for isotopic incorporation in fry fed an animal-based diet, whereas catabolism increased in fry fed a plant-based diet. After lipid extraction, carbon TDFs were similar regardless of the diet, whereas nitrogen TDFs increased for fry fed a plant-based diet. Long-term fasting induced an increase of 0.63‰ in δ¹³C values of fry in 23 days, whereas δ¹⁵N values did not vary significantly. Proportions of food sources assimilated by fry fed an animal:plant-based diet were similar to those consumed when using a mixing model with the estimated TDFs, while proportions were unrealistic when using mean TDFs extrapolated from the literature.
4. The results of our study indicate that the quality of food must be considered to use an appropriate timescale to detect changes in fry diets in the field. Moreover, we recommend using different carbon and nitrogen TDFs, one for animal-derived sources and one for plant-derived sources, to increase the accuracy of mixing models.

     

PTEN enters the nuclear age

Regulation of the PTEN tumor suppressor protein is poorly understood. In this issue, Wang et al. (2007) and Trotman et al. (2007) describe how ubiquitination regulates PTEN stability and its nuclear localization. Additionally, Shen et al. (2007) report that a nuclear pool of PTEN helps to maintain chromosomal stability.     

Membrane binding of peptides containing both basic and aromatic residues. Experimental studies with peptides corresponding to the scaffolding region of caveolin and the effector region of MARCKS

We have studied the binding of peptides containing both basic and aromatic residues to phospholipid vesicles. The peptides caveolin(92-101) and MARCKS(151-175) both contain five aromatic residues, but have 3 and 13 positive charges, respectively. Our results show the aromatic residues insert into the bilayer and anchor the peptides weakly to vesicles formed from the zwitterionic lipid phosphatidylcholine (PC). Incorporation of a monovalent acidic lipid (e.g., phosphatidylserine, PS) into the vesicles enhances the binding of both peptides via nonspecific electrostatic interactions. As predicted from application of the Poisson-Boltzmann equation to atomic models of the peptide and membranes, the enhancement is larger (e.g., 10(4)- vs 10-fold for 17% PS) for the more basic MARCKS(151-175). Replacing the five Phe with five Ala residues in MARCKS(151-175) decreases the binding to 10:1 PC/PS vesicles only slightly (6-fold). This result is also consistent with the predictions of our theoretical model: the loss of the attractive hydrophobic energy is partially compensated by a decrease in the repulsive Born/desolvation energy as the peptide moves away from the membrane surface. Incorporating multivalent phosphatidylinositol 4, 5-bisphosphate (PIP(2)) into PC vesicles produces dramatically different effects on the membrane binding of the two peptides: 1% PIP(2) enhances caveolin(92-101) binding only 3-fold, but increases MARCKS(151-175) binding 10(4)-fold. The strong interaction between the effector region of MARCKS and PIP(2) has interesting implications for the cellular function of MARCKS.     

CO2 levels in the Late Palaeozoic and Mesozoic atmosphere from soil carbonate and organic matter, Satpura basin, Central India

A number of calcic palaeosols have been identified within the fluvial deposits of the Motur (Permian), the Denwa (Triassic), the Bagra (Jurassic) and the Lameta (Cretaceous) Formations of the Satpura sedimentary succession, Central India. These palaeosols show accumulation of pedogenic carbonates in rhizocretions and glaebules. The carbon isotopic compositions of these carbonates and the coexisting soil organic matters are used to determine the isotopic composition and the partial pressure of atmospheric CO₂ using the CO₂ palaeobarometer developed by Cerling [Am. J. Sci., 291 (1991) 377]. It is seen that the atmospheric CO₂ level increased by a factor of 8 from the Permian to the Jurassic and declined again during the Cretaceous. The nature of the changes agrees with the result of the CO₂ evolution model of Berner (GEOCARB II) but the magnitude of the CO₂ increase in the Middle Jurassic and the Late Cretaceous was higher than the predicted value. Degassing of Earth's interior due to rapid break-up of the Gondwana landmass during the Triassic and Jurassic period could have caused the rapid CO₂ increase.