Activation of hypothalamic RIP‐Cre neurons promotes beiging of WAT via sympathetic nervous system

Activation of brown adipose tissue (BAT) and beige fat by cold increases energy expenditure. Although their activation is known to be differentially regulated in part by hypothalamus, the underlying neural pathways and populations remain poorly characterized. Here, we show that activation of rat‐insulin‐promoter‐Cre (RIP‐Cre) neurons in ventromedial hypothalamus (VMH) preferentially promotes recruitment of beige fat via a selective control of sympathetic nervous system (SNS) outflow to subcutaneous white adipose tissue (sWAT), but has no effect on BAT. Genetic ablation of APPL2 in RIP‐Cre neurons diminishes beiging in sWAT without affecting BAT, leading to cold intolerance and obesity in mice. Such defects are reversed by activation of RIP‐Cre neurons, inactivation of VMH AMPK, or treatment with a β3‐adrenergic receptor agonist. Hypothalamic APPL2 enhances neuronal activation in VMH RIP‐Cre neurons and raphe pallidus, thereby eliciting SNS outflow to sWAT and subsequent beiging. These data suggest that beige fat can be selectively activated by VMH RIP‐Cre neurons, in which the APPL2–AMPK signaling axis is crucial for this defending mechanism to cold and obesity.     

A machine‐learning approach for extending classical wildlife resource selection analyses

Resource selection functions (RSFs) are tremendously valuable for ecologists and resource managers because they quantify spatial patterns in resource utilization by wildlife, thereby facilitating identification of critical habitat areas and characterizing specific habitat features that are selected or avoided. RSFs discriminate between known‐use resource units (e.g., telemetry locations) and available (or randomly selected) resource units based on an array of environmental features, and in their standard form are performed using logistic regression. As generalized linear models, standard RSFs have some notable limitations, such as difficulties in accommodating nonlinear (e.g., humped or threshold) relationships and complex interactions. Increasingly, ecologists are using flexible machine‐learning methods (e.g., random forests, neural networks) to overcome these limitations. Herein, we investigate the seasonal resource selection patterns of mule deer (Odocoileus hemionus) by comparing a logistic regression framework with random forest (RF), a popular machine‐learning algorithm. Random forest (RF) models detected nonlinear relationships (e.g., optimal ranges for slope and elevation) and complex interactions which would have been very challenging to discover and characterize using standard model‐based approaches. Compared with standard RSF models, RF models exhibited improved predictive skill, provided novel insights about resource selection patterns of mule deer, and, when projected across a relevant geographic space, manifested notable differences in predicted habitat suitability. We recommend that wildlife researchers harness the strengths of machine‐learning tools like RF in addition to “classical” tools (e.g., mixed‐effects logistic regression) for evaluating resource selection, especially in cases where extensive telemetry data sets are available.     

A 15.6 frames per second 1‐megapixel multiple exposure laser speckle contrast imaging setup

A multiple exposure laser speckle contrast imaging (MELSCI) setup for visualizing blood perfusion was developed using a field programmable gate array (FPGA), connected to a 1000 frames per second (fps) 1‐megapixel camera sensor. Multiple exposure time images at 1, 2, 4, 8, 16, 32 and 64 milliseconds were calculated by cumulative summation of 64 consecutive snapshot images. The local contrast was calculated for all exposure times using regions of 4 × 4 pixels. Averaging of multiple contrast images from the 64‐millisecond acquisition was done to improve the signal‐to‐noise ratio. The results show that with an effective implementation of the algorithm on an FPGA, contrast images at all exposure times can be calculated in only 28 milliseconds. The algorithm was applied to data recorded during a 5 minutes finger occlusion. Expected contrast changes were found during occlusion and the following hyperemia in the occluded finger, while unprovoked fingers showed constant contrast during the experiment. The developed setup is capable of massive data processing on an FPGA that enables processing of MELSCI data in 15.6 fps (1000/64 milliseconds). It also leads to improved frame rates, enhanced image quality and enables the calculation of improved microcirculatory perfusion estimates compared to single exposure time systems.      

Inhibition of Endosteal Vascular Niche Remodeling Rescues Hematopoietic Stem Cell Loss in AML

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Elongator—a tRNA modifying complex that promotes efficient translational decoding

Naturally occurring modifications of the nucleosides in the anticodon region of tRNAs influence their translational decoding properties. Uridines present at the wobble position in eukaryotic cytoplasmic tRNAs often contain a 5-carbamoylmethyl (ncm⁵) or 5-methoxycarbonylmethyl (mcm⁵) side-chain and sometimes also a 2-thio or 2′-O-methyl group. The first step in the formation of the ncm⁵ and mcm⁵ side-chains requires the conserved six-subunit Elongator complex. Although Elongator has been implicated in several different cellular processes, accumulating evidence suggests that its primary, and possibly only, cellular function is to promote modification of tRNAs. In this review, we discuss the biosynthesis and function of modified wobble uridines in eukaryotic cytoplasmic tRNAs, focusing on the in vivo role of Elongator-dependent modifications in Saccharomyces cerevisiae. This article is part of a Special Issue entitled: SI: Regulation of tRNA synthesis and modification in physiological conditions and disease edited by Dr. Boguta Magdalena.     

<Superscript>15</Superscript>N photo-CIDNP MAS NMR analysis of reaction centers of <Emphasis Type="Italic">Chloracidobacterium thermophilum</Emphasis>

Photochemically induced dynamic nuclear polarization (photo-CIDNP) has been observed in the homodimeric, type-1 photochemical reaction centers (RCs) of the acidobacterium, Chloracidobacterium (Cab.) thermophilum, by ¹⁵N magic-angle spinning (MAS) solid-state NMR under continuous white-light illumination. Three light-induced emissive (negative) signals are detected. In the RCs of Cab. thermophilum, three types of (bacterio)chlorophylls have previously been identified: bacteriochlorophyll a (BChl a), chlorophyll a (Chl a), and Zn-bacteriochlorophyll a′ (Zn-BChl a′) (Tsukatani et al. in J Biol Chem 287:5720–5732, 2012). Based upon experimental and quantum chemical ¹⁵N NMR data, we assign the observed signals to a Chl a cofactor. We exclude Zn-BChl because of its measured spectroscopic properties. We conclude that Chl a is the primary electron acceptor, which implies that the primary donor is most likely Zn-BChl a′. Chl a and 8¹-OH Chl a have been shown to be the primary electron acceptors in green sulfur bacteria and heliobacteria, respectively, and thus a Chl a molecule serves this role in all known homodimeric type-1 RCs.     

Quartz crystal microbalance investigation of the interaction of bacterial toxins with ganglioside containing solid supported membranes

The binding of cholera toxin, tetanus toxin and pertussis toxin to ganglioside containing solid supported membranes has been investigated by quartz crystal microbalance measurements. The bilayers were prepared by fusion of phospholipid-vesicles on a hydrophobic monolayer of octanethiol chemisorbed on one gold electrode placed on the 5 MHz AT-cut quartz crystal. The ability of the gangliosides G_M1, G_M3, G_D1a, G_D1b, G_T1b and asialo-G_M1 to act as suitable receptors for the different toxins was tested by measuring the changes of quartz resonance frequencies. To obtain the binding constants of each ligand-receptor-couple Langmuir-isotherms were successfully fitted to the experimental adsorption isotherms. Cholera toxin shows a high affinity for G_M1 (K_a = 1.8 ⋅ 10⁸M^–1), a lower one for asialo-G_M1 (K_a = 1.0 ⋅ 10⁷ M^–1) and no affinity for G_M3. The C-fragment of tetanus toxin binds to ganglioside G_D1a, G_D1b and G_T1b containing membranes with similar affinity (K_a∼10⁶ M^–1), while no binding was observed with G_M3. Pertussis toxin binds to membranes containing the ganglioside G_D1a with a binding constant of K_a = 1.6 ⋅ 10⁶ M^–1, but only if large amounts (40 mol%) of G_D1a are present. The maximum frequency shift caused by the protein adsorption depends strongly on the molecular structure of the receptor. This is clearly demonstrated by an observed maximum frequency decrease of 99 Hz for the adsorption of the C-fragment of tetanus toxin to G_D1b. In contrast to this large frequency decrease, which was unexpectedly high with respect to Sauerbrey's equation, implying pure mass loading, a maximum shift of only 28 Hz was detected after adsorption of the C-fragment of tetanus toxin to G_D1a. Received: 14 January 1997 / Accepted: 15 April 1997     

Stimulation of fibrinogen synthesis in cultured rat hepatocytes by fibrinogen fragment E

Because of the inherent difficulties of experimentation in intact animals, we used primary monolayer cultures of non-proliferating adult rat hepatocytes to study the effects of fibrinogen degradation products on fibrinogen biosynthesis. The freshly isolated hepatocytes obtained by collagenase perfusion of the liver in situ were cultured in a chemically defined serum-free medium. The rate of fibrinogen synthesis in control cultures was $\text{40–50}\text{pmol}\text{2.5·10}{}^6$ cells per 24 h. Additions of 20, 60 or 100 μg of homologous stage I fibrinogen degradation products had no effect on fibrinogen synthesis. In contrast, addition of the same amounts of homologous or heterologous (human) stage III fibrinogen degradation products resulted in a concentration-dependent increase in fibrinogen biosynthesis without affecting the rate of synthesis of albumin. When purified stage III fibrinogen degradation products D and E (human) were tested in 10, 30 or 50 μg/3 ml medium only fragment E showed a significant increase in fibrinogen biosynthesis (1.9-, 2.8- and 5.6-fold, respectively, over the control cultures). The presence of excess fibrinogen had no effect. These results suggest that fibrinogen fragment E may be a specific stimulator of fibrinogen biosynthesis which may play an important role in maintaining normal levels of plasma fibrinogen.     

The mechanism for dioxygen formation in PSII studied by quantum chemical methods.

The availability of an X-ray structure for PSII including the water-oxidizing cluster, where the metal atoms and the amino acids are assigned, has opened up new possibilities to study the mechanism for dioxygen formation. In the present paper the main results of an ongoing hybrid DFT study are presented. The model used follows the structure suggested by the X-ray analysis as closely as possible. After nearly one thousand optimizations of different structures, each one with about 70 atoms, the main features of a water oxidizing mechanism start to emerge. The key intermediate is an oxyl radical state in S(3), stabilized by a weak trans effect to a bridging oxo in the cube. To reach this radical state a structural rearrangement appears necessary, in which one additional bridging oxo is formed between the dangling manganese and a manganese in the cube. The calculated energetics is reasonable but still not fully consistent with a correct mechanism. It is suggested that some part of the structure is not correct, probably the presence of the bicarbonate.