Natural selection on gene expression

Changes in genetic regulation contribute to adaptations in natural populations and influence susceptibility to human diseases. Despite their potential phenotypic importance, the selective pressures acting on regulatory processes in general and gene expression levels in particular are largely unknown. Studies in model organisms suggest that the expression levels of most genes evolve under stabilizing selection, although a few are consistent with adaptive evolution. However, it has been proposed that gene expression levels in primates evolve largely in the absence of selective constraints. In this article, we discuss the microarray-based observations that led to these disparate interpretations. We conclude that in both primates and model organisms, stabilizing selection is likely to be the dominant mode of gene expression evolution. An important implication is that mutations affecting gene expression will often be deleterious and might underlie many human diseases.     

Evaluating automated parameter constraining procedures of neuron models by experimental and surrogate data

Neuron models, in particular conductance-based compartmental models, often have numerous parameters that cannot be directly determined experimentally and must be constrained by an optimization procedure. A common practice in evaluating the utility of such procedures is using a previously developed model to generate surrogate data (e.g., traces of spikes following step current pulses) and then challenging the algorithm to recover the original parameters (e.g., the value of maximal ion channel conductances) that were used to generate the data. In this fashion, the success or failure of the model fitting procedure to find the original parameters can be easily determined. Here we show that some model fitting procedures that provide an excellent fit in the case of such model-to-model comparisons provide ill-balanced results when applied to experimental data. The main reason is that surrogate and experimental data test different aspects of the algorithm’s function. When considering model-generated surrogate data, the algorithm is required to locate a perfect solution that is known to exist. In contrast, when considering experimental target data, there is no guarantee that a perfect solution is part of the search space. In this case, the optimization procedure must rank all imperfect approximations and ultimately select the best approximation. This aspect is not tested at all when considering surrogate data since at least one perfect solution is known to exist (the original parameters) making all approximations unnecessary. Furthermore, we demonstrate that distance functions based on extracting a set of features from the target data (such as time-to-first-spike, spike width, spike frequency, etc.)—rather than using the original data (e.g., the whole spike trace) as the target for fitting—are capable of finding imperfect solutions that are good approximations of the experimental data.     

Hybrid Composite Coatings for Durable and Efficient Solar Hydrogen Generation under Diverse Operating Conditions

Safe and practical solar‐driven hydrogen generators must be capable of efficient and stable operation under diurnal cycling with full separation of gaseous H₂ and O₂ products. In this study, a novel architecture that fulfills all of these requirements is presented. The approach is inherently scalable and provides versatility for operation under diverse electrolyte and lighting conditions. The concept is validated using a 1 cm² triple‐junction photovoltaic cell with its illuminated photocathode protected by a composite coating comprising an organic encapsulant with an embedded catalytic support. The device is compatible with operation under conditions ranging from 1 m H₂SO₄ to 1 m KOH, enabling flexibility in selection of semiconductor, electrolyte, membrane, and catalyst. Stable operation at a solar‐to‐hydrogen conversion efficiency of >10% is demonstrated under continuous operation, as well as under diurnal light cycling for at least 4 d, with simulated sunlight. Operational characteristics are validated by extended time outdoor testing. A membrane ensures products are separated, with nonexplosive gas streams generated for both alkaline and acidic systems. Analysis of operational characteristics under different lighting conditions is enabled by comparison of a device model to experimental data.     

Serum histones as biomarkers of the severity of heatstroke in dogs

Heatstroke is associated with systemic inflammatory response syndrome, leading to multiple organ dysfunction and death. Currently, there is no specific treatment decreasing hyperthermia-induced inflammatory/hemostatic derangements. Emerging studies indicate that histones leaking from damaged cells into the extracellular space are toxic, pro-inflammatory, and pro-thrombotic. We therefore hypothesize that serum histones (sHs) are elevated during heatstroke and are associated with the severity of the disease. Sixteen dogs with heatstroke and seven healthy controls were included in the study. Median serum histones (sHs) upon admission in dogs with heatstroke were significantly higher (P = 0.043) compared to that in seven controls (13.2 vs. 7.3 ng/mL, respectively). sHs level was significantly higher among non-survivors and among dogs with severe hemostatic derangement (P = 0.049, median 21.4 ng/mL vs. median 8.16 ng/mL and P = 0.038, 19.0 vs. 7.0 ng/mL, respectively). There were significant positive correlation between sHs and urea (r = 0.8, P = 0.02); total CO2 (r = 0.661, P = 0.05); CK (r = 0.678, P = 0.04); and prothrombin time (PT) 12 h post presentation (r = 0.888, P = 0.04). The significant positive correlation between sHs and other heatstroke severity biomarkers, and significant increase among severely affected dogs, implies its role in inflammation/oxidation/coagulation during heatstroke. sHs, unlike other prognostic and severity biomarkers in heatstroke, can be pharmacologically manipulated, offering a potential therapeutic target.     

Ypt and Rab GTPases: insight into functions through novel interactions.

Ypt/Rab GTPases are key regulators of vesicular transport in eukaryotic cells. During the past two years, a number of new Ypt/Rab-interacting proteins have been identified and shown to serve as either upstream regulators or downstream effectors. Proteins that interact with these regulators and effectors of Ypt/Rabs have also been identified, and together they provide new insights into Ypt/Rab mechanisms of action. The picture that emerges from these studies suggests that Ypt/Rabs function in multiple and diverse aspects of vesicular transport. In addition, not only are Ypt/Rabs highly conserved, but their functions and interactions are as well. Interestingly, crosstalk among Ypt/Rabs and between Ypt/Rabs and other signaling factors, suggest the possibility of coordination of the individual vesicular transport steps and of the protein transport machinery with other cellular processes.     

DAPK2 is a novel regulator of mTORC1 activity and autophagy

Autophagy is a tightly regulated catabolic process, which is upregulated in cells in response to many different stress signals. Inhibition of mammalian target of rapmaycin complex 1 (mTORC1) is a crucial step in induction of autophagy, yet the mechanisms regulating the fine tuning of its activity are not fully understood. Here we show that death-associated protein kinase 2 (DAPK2), a Ca²⁺-regulated serine/threonine kinase, directly interacts with and phosphorylates mTORC1, and has a part in suppressing mTOR activity to promote autophagy induction. DAPK2 knockdown reduced autophagy triggered either by amino acid deprivation or by increases in intracellular Ca²⁺ levels. At the molecular level, DAPK2 depletion interfered with mTORC1 inhibition caused by these two stresses, as reflected by the phosphorylation status of mTORC1 substrates, ULK1 (unc-51-like kinase 1), p70 ribosomal S6 kinase and eukaryotic initiation factor 4E-binding protein 1. An increase in mTORC1 kinase activity was also apparent in unstressed cells that were depleted of DAPK2. Immunoprecipitated mTORC1 from DAPK2-depleted cells showed increased kinase activity in vitro, an indication that DAPK2 regulation of mTORC1 is inherent to the complex itself. Indeed, we found that DAPK2 associates with components of mTORC1, as demonstrated by co-immunoprecipitation with mTOR and its complex partners, raptor (regulatory-associated protein of mTOR) and ULK1. DAPK2 was also able to interact directly with raptor, as shown by recombinant protein-binding assay. Finally, DAPK2 was shown to phosphorylate raptor in vitro. This phosphorylation was mapped to Ser721, a site located within a highly phosphorylated region of raptor that has previously been shown to regulate mTORC1 activity. Thus, DAPK2 is a novel kinase of mTORC1 and is a potential new member of this multiprotein complex, modulating mTORC1 activity and autophagy levels under stress and steady-state conditions.Macroautophagy (hereafter referred to as autophagy) is a highly regulated intracellular bulk degradation process found ubiquitously in eukaryotes. During autophagy a double-membrane vesicle, termed an autophagosome, engulfs cytoplasmic materials, including whole organelles. The autophagosome is later fused with the lysosome and its content degraded by hydrolases.¹ Basal levels of autophagy are maintained within the cell during steady state, and are involved in cell homeostasis activities such as turnover of long-lived proteins, preventing accumulation of protein aggregates, and removal of damaged cellular structures.² Beyond this homeostatic function, autophagy is stimulated during various stress conditions, such as nutrient deprivation, intracellular Ca²⁺ increase, hypoxia, ER stress and oxidative stress, to ensure continuous cell survival under stress.³A critical step in the induction of autophagy comprises the inactivation of a key negative regulator of the process, the mammalian target of rapamycin (mTOR).⁴ mTOR is a conserved serine/threonine protein kinase that acts as a master regulator in the cell. mTOR forms a rapamycin-sensitive complex named mTORC1 with its binding partner raptor (regulatory-associated protein of mTOR), which mediates mTOR''s substrate presentation.⁵ mTORC1 senses nutrient availability, growth factors and energy levels, and, in response, regulates cell growth, metabolism and protein synthesis, mainly by phosphorylation of substrates involved in protein translation: the p70 ribosomal S6 kinase (p70S6K) and eukaryotic initiation factor 4E-binding protein 1 (4E-BP1). Under nutrient-rich conditions, mTORC1 suppresses autophagy to basal levels by phosphorylating and inhibiting the autophagy proteins ULK1 (unc-51-like kinase 1) and Atg13. Upon autophagic stimulus, mTORC1 activity is inhibited and the ULK1 complex is activated, leading to autophagy induction.⁶ The activity levels of mTORC1 are regulated by several mechanisms, such as interacting proteins, cellular localization and phosphorylation events. Raptor phosphorylation has been suggested as a mechanism by which upstream kinases such as AMPK,⁷ RSK⁸ and ULK1⁹ can regulate mTORC1 activity.Death-associated protein kinase 2 (DAPK2; also named DRP-1) is a 42-kDa Ca²⁺/calmodulin (CaM)-regulated serine/threonine kinase,¹⁰ and a closely related homolog of DAPK, a gene originally discovered in an attempt to find positive regulators of cell death.¹¹ DAPK2 was identified based on homology to the catalytic domain of DAPK. DAPK2 is a soluble cytoplasmatic protein, which triggers massive membrane blebbing and appearance of double-membrane autophagic vesicles upon its overexpression (for a review see Shiloh et al.¹²). DAPK2''s substrates and interacting proteins are mostly unknown, with the exception of the myosin II regulatory light chain, which has been shown to be an in vitro and in vivo substrate.¹³ Although many publications have studied DAPK, its substrates and its role in cell death and autophagy,^{14, 15} very little is known about DAPK2 substrates, cellular functions or the molecular pathways that it regulates.In this work, we studied the involvement of DAPK2 in the autophagic module. We identified DAPK2 as a novel interacting protein of mTORC1, and as a negative regulator of the complex both during steady-state growth conditions and in response to different stress autophagic signals. We identified mTOR''s binding partner, raptor, as a substrate of DAPK2, and found Ser721 as its phosphorylation site.     

Concerted release of substrate domains from GroEL by ATP is demonstrated with FRET

The chaperonin GroEL assists protein folding by undergoing ATP-induced conformational changes that are concerted within each of its two back-to-back stacked rings. Here we examined whether concerted allosteric switching gives rise to all-or-none release and folding of domains in a chimeric fluorescent protein substrate, CyPet-YPet. Using this substrate, it was possible to determine the folding yield of each domain from its intrinsic fluorescence and that of the entire chimera by measuring Förster resonance energy transfer between the two domains. Hence, it was possible to determine whether release of one domain is accompanied by release of the other domain (concerted mechanism), or whether their release is not coupled. Our results show that the chimera's release tends to be concerted when folding is assisted by a wild-type GroEL variant, but not when assisted by the F44W/D155A mutant that undergoes a sequential allosteric switch. A connection between the allosteric mechanism of this molecular machine and its biological function in assisting folding is thus established.