A coarse-grained model for force-induced protein deformation and kinetics

Force-induced changes in protein conformation are thought to be responsible for certain cellular responses to mechanical force. Changes in conformation subsequently initiate a biochemical response by alterations in, for example, binding affinity to another protein or enzymatic activity. Here, a model of protein extension under external forcing is created inspired by Kramers' theory for reaction rate kinetics in liquids. The protein is assumed to have two distinct conformational states: a relaxed state, C(1), preferred in the absence of external force, and an extended state, C(2), favored under force application. In the context of mechanotransduction, the extended state is a conformation from which the protein can initiate signaling. Appearance and persistence of C(2) are assumed to lead to transduction of the mechanical signal into a chemical one. The protein energy landscape is represented by two harmonic wells of stiffness kappa(1) and kappa(2), whose minima correspond to conformations C(1) and C(2). First passage time t(f) from C(1) to C(2) is determined from the Fokker-Plank equation employing several different approaches found in the literature. These various approaches exhibit significant differences in behavior as force increases. Although the level of applied force and the energy difference between states largely determine equilibrium, the dominant influence on t(f) is the height of the transition state. Distortions in the energy landscape due to force can also have a significant influence, however, exhibiting a weaker force dependence than exponential as previously reported, approaching a nearly constant value at a level of force that depends on the ratio kappa(1)/kappa(2). Two model systems are used to demonstrate the utility of this approach: a short alpha-helix undergoing a transition between two well-defined states and a simple molecular motor.     

Ceramides and other bioactive sphingolipid backbones in health and disease: lipidomic analysis, metabolism and roles in membrane structure, dynamics, signaling and autophagy

Sphingolipids are comprised of a backbone sphingoid base that may be phosphorylated, acylated, glycosylated, bridged to various headgroups through phosphodiester linkages, or otherwise modified. Organisms usually contain large numbers of sphingolipid subspecies and knowledge about the types and amounts is imperative because they influence membrane structure, interactions with the extracellular matrix and neighboring cells, vesicular traffic and the formation of specialized structures such as phagosomes and autophagosomes, as well as participate in intracellular and extracellular signaling. Fortunately, "sphingolipidomic" analysis is becoming feasible (at least for important subsets such as all of the backbone "signaling" subspecies: ceramides, ceramide 1-phosphates, sphingoid bases, sphingoid base 1-phosphates, inter alia) using mass spectrometry, and these profiles are revealing many surprises, such as that under certain conditions cells contain significant amounts of "unusual" species: N-mono-, di-, and tri-methyl-sphingoid bases (including N,N-dimethylsphingosine); 3-ketodihydroceramides; N-acetyl-sphingoid bases (C2-ceramides); and dihydroceramides, in the latter case, in very high proportions when cells are treated with the anticancer drug fenretinide (4-hydroxyphenylretinamide). The elevation of DHceramides by fenretinide is befuddling because the 4,5-trans-double bond of ceramide has been thought to be required for biological activity; however, DHceramides induce autophagy and may be important in the regulation of this important cellular process. The complexity of the sphingolipidome is hard to imagine, but one hopes that, when partnered with other systems biology approaches, the causes and consequences of the complexity will explain how these intriguing compounds are involved in almost every aspect of cell behavior and the malfunctions of many diseases.     

Protein refolding assisted by molecular tube based α-cyclodextrin as an artificial chaperone

In this study, we evaluated, for the first time, the application of molecular tube based alpha-cyclodextrin for improving the refolding yields of two different enzymes: carbonic anhydrase and alkaline phosphatase. Our results indicate that under the optimal developed refolding environments, the denatured carbonic anhydrase and alkaline phosphatase were refolded with a yield of 51 and 61% using 15 and 5 mg/ml of the molecular tube, respectively. Regardless of lower refolding yields compared with liquid-phase artificial chaperone assisted approach, the new technique (solid-phase artificial chaperone assisted refolding) benefits from easier and faster separation of the refolded product from the refolding environment, recycling of the stripping agent, and finally, significantly less environmental effect at the industrial levels. However, further improvements in solid-phase artificial chaperone assisted technique are needed either through synthesizing better stripping agents or by optimizing and defining better refolding environments.     

Differences in the regulation of microtubule stability by the pro-rich region variants of microtubule-associated protein 4

We have recently reported a neural variant of microtubule-associated protein 4 with a short pro-rich region (MAP4-SP). Here, we show that the neural MAP4 has reduced microtubule-stabilizing activity, compared to the ubiquitous MAP4 with a long pro-rich region (MAP4-LP), both in vitro and in vivo. Fluorescence recovery after photobleaching analyses revealed that the interaction of MAP4-SP with the microtubules is very rapid, with a half-time of fluorescence recovery of 7 +/- 2.36 s, compared to 19.5 +/- 3.03 s in case of MAP4-LP. The dynamic interaction of MAP4-SP with microtubules in neural cells may contribute to the dynamic behaviors of extending neurites.     

A model of the evolution of dichogamy incorporating sex-ratio selection, anther-stigma interference, and inbreeding depression

Historically, explanations for the evolution of floral traits that reduce self-fertilization have tended to focus on selection to avoid inbreeding depression. However, there is growing support for the hypothesis that such traits also play a role in promoting efficient pollen dispersal by reducing anther-stigma interference. The relative importance of these two selective pressures is currently a popular topic of investigation. To date, there has been no theoretical exploration of the relative contributions of selection to avoid the genetic costs of self-fertilization and selection to promote efficient pollen dispersal on the evolution of floral traits. We developed a population genetic model to examine the influence of these factors on the evolution of dichogamy: the temporal separation of anther maturation and stigma receptivity. Our analysis indicates that anther-stigma interference can favor dichogamy even in the absence of in-breeding depression. Although anther-stigma interference and inbreeding depression are the key forces driving the initial evolution of dichogamy, selection to match the timing of pollen dispersal to the availability of ovules at the population level becomes a more potent force opposing the further evolution of dichogamy as the extent of temporal separation increases. This result may help to explain otherwise puzzling phenomena such as why dichogamy is rarely complete in nature and why dichogamy tends to be associated with asynchronous flower presentation.     

Phenotypic screening of hepatocyte nuclear factor (HNF) 4-gamma receptor knockout mice

Using the mouse as a model organism in pharmaceutical research presents unique advantages as its physiology in many ways resembles the human physiology, it also has a relatively short generation time, low breeding and maintenance costs, and is available in a wide variety of inbred strains. The ability to genetically modify mouse embryonic stem cells to generate mouse models that better mimic human disease is another advantage. In the present study, a comprehensive phenotypic screening protocol is applied to elucidate the phenotype of a novel mouse knockout model of hepatocyte nuclear factor (HNF) 4-gamma. HNF4-gamma is expressed in the kidneys, gut, pancreas, and testis. The first level of the screen is aimed at general health, morphologic appearance, normal cage behaviour, and gross neurological functions. The second level of the screen looks at metabolic characteristics and lung function. The third level of the screen investigates behaviour more in-depth and the fourth level consists of a thorough pathological characterisation, blood chemistry, haematology, and bone marrow analysis. When compared with littermate wild-type mice (HNF4-gamma(+/+)), the HNF4-gamma knockout (HNF4-gamma(-/-)) mice had lowered energy expenditure and locomotor activity during night time that resulted in a higher body weight despite having reduced intake of food and water. HNF4-gamma(-/-) mice were less inclined to build nest and were found to spend more time in a passive state during the forced swim test.     

G protein-coupled receptor 12 deficiency results in dyslipidemia and obesity in mice

Obesity has been proposed to be a result of an imbalance in the physiological system that controls and maintains the body energy homeostasis. Several G-protein coupled receptors (GPCRs) are involved in the regulation of energy homeostasis. To investigate the importance of GPCR12, mice deficient of this receptor (GPCR12 KO) were studied regarding metabolism. Expression of GPCR12 was found primarily in the limbic and sensory systems, indicating its possible involvement in motivation, emotion together with various autonomic functions, and sensory information processing. GPCR12 KO mice were found to have higher body weight, body fat mass, lower respiratory exchange ratio (RER), hepatic steatosis, and were dyslipidemic. Neither food intake nor energy in faeces was affected in the GPCR12 KO mice. However, lower energy expenditure was found in the GPCR12 KO mice, which may explain the obesity. In conclusion, GPCR12 is considered important for the energy balance since GPCR12 KO mice develop obesity and have lower energy expenditure. This may be important for future drugs that target this receptor.     

Ultrastructural comparison of developing mouse embryonic stem cell- and in vivo-derived cardiomyocytes

Embryonic stem cells (ESCs) are expected to become a powerful tool for future regenerative medicine and developmental biology due to their capacity for self-renewal and pluripotency. The present study involves characterization and particularly, the ultrastructure of ESC-derived cardiomyocytes (ESC-CMs). Spontaneously differentiated murine (C57BL/6) ESC-CMs were cultured for 21 days. At different stages, growth characteristics of the CMs were assessed by immunocytochemistry, RT-PCR, transmission electron microscopy, and by addition of chronotropic drugs. EB-derived spontaneously beating cells expressed markers characteristic of CMs including alpha-actinin, desmin, troponin I, sarcomeric myosin heavy chain (MHC), pan-cadherin, connexin 43, cardiac alpha-MHC, cardiac beta-MHC, atrial natriuretic factor (ANF), and myosin light chain isoform-2V (MLC-2V) and responded to drugs in a maturation- and dose-dependent manner. At the ultrasructural level, maturation proceeded with increasing time in culture. In 7+21 days CMs, all sarcomeric components, such as Z-discs, A-, I- and H-bands as well as M-lines, T-tubules, intercalated discs, and the sarcoplasmic reticulum were present. Our data suggest that ESCs can differentiate into functional mature CMs in vitro. Furthermore, ESC-CMs may provide an ideal model for the study of cardiomyocytic development and may be useful for cell therapy of various cardiac diseases.     

In silico pharmacogenetics of warfarin metabolism

Pharmacogenetic approaches can be instrumental for predicting individual differences in response to a therapeutic intervention. Here we used a recently developed murine haplotype-based computational method to identify a genetic factor regulating the metabolism of warfarin, a commonly prescribed anticoagulant with a narrow therapeutic index and a large variation in individual dosing. After quantification of warfarin and nine of its metabolites in plasma from 13 inbred mouse strains, we correlated strain-specific differences in 7-hydroxywarfarin accumulation with genetic variation within a chromosomal region encoding cytochrome P450 2C (Cyp2c) enzymes. This computational prediction was experimentally confirmed by showing that the rate-limiting step in biotransformation of warfarin to its 7-hydroxylated metabolite was inhibited by tolbutamide, a Cyp2c isoform-specific substrate, and that this transformation was mediated by expressed recombinant Cyp2c29. We show that genetic variants responsible for interindividual pharmacokinetic differences in drug metabolism can be identified by computational genetic analysis in mice.