Explore the vast range of titles available.

Play It Loud celebrates the musical instruments that gave rock and roll its signature sound-from Louis Jordan's alto saxophone and John Lennon's Rickenbacker to the drum set owned by Metallica's Lars Ulrich, Lady Gaga's keytar, and beyond. Seven engrossing essays by veteran music journalists and scholars discuss the technical developments that fostered rock's seductive riffs and driving rhythms, the thrilling innovations musicians have devised to achieve unique effects, and the visual impact their instruments have had. Abundant photographs depict rock's most iconic instruments-including Jerry Lee Lewis's baby grand piano, Chuck Berry's Gibson ES-350T guitar, Bootsy Collins's star-shaped bass, Keith Moon's drum set, and the white Stratocaster Jimi Hendrix played at Woodstock-as works of art in their own right. Produced in collaboration with the Rock & Roll Hall of Fame, this astounding book goes behind the music to offer a rare and in-depth look at the instruments that inspired the musicians and made possible the songs we know and love. Exhibition: The Metropolitan Museum of Art, New York, USA (01.04-15.09.2019); The Rock & Roll Hall of Fame, Cleveland, USA (20.11.2019-13.09.2020). -- Book jacket.

Exposure to stress is an undeniable, but in most cases surmountable, part of life. However, in certain individuals, exposure to severe or cumulative stressors can lead to an array of pathological conditions including posttraumatic stress disorder (PTSD), characterized by debilitating trauma-related intrusive thoughts, avoidance behaviors, hyperarousal, as well as depressed mood and anxiety. In the context of the rapidly changing political and legal landscape surrounding use of cannabis products in the USA, there has been a surge of public and research interest in the role of cannabinoids in the regulation of stress-related biological processes and in their potential therapeutic application for stress-related psychopathology. Here we review the current state of knowledge regarding the effects of cannabis and cannabinoids in PTSD and the preclinical and clinical literature on the effects of cannabinoids and endogenous cannabinoid signaling systems in the regulation of biological processes related to the pathogenesis of PTSD. Potential therapeutic implications of the reviewed literature are also discussed. Finally, we propose that a state of endocannabinoid deficiency could represent a stress susceptibility endophenotype predisposing to the development of trauma-related psychopathology and provide biologically plausible support for the self-medication hypotheses used to explain high rates of cannabis use in patients with trauma-related disorders.

Genes play a strong role in Alzheimer’s disease (AD), with late-onset AD showing heritability of 58–79% and early-onset AD showing over 90%. Genetic association provides a robust platform to build our understanding of the etiology of this complex disease. Over 50 loci are now implicated for AD, suggesting that AD is a disease of multiple components, as supported by pathway analyses (immunity, endocytosis, cholesterol transport, ubiquitination, amyloid-β and tau processing). Over 50% of late-onset AD heritability has been captured, allowing researchers to calculate the accumulation of AD genetic risk through polygenic risk scores. A polygenic risk score predicts disease with up to 90% accuracy and is an exciting tool in our research armory that could allow selection of those with high polygenic risk scores for clinical trials and precision medicine. It could also allow cellular modelling of the combined risk. Here we propose the multiplex model as a new perspective from which to understand AD. The multiplex model reflects the combination of some, or all, of these model components (genetic and environmental), in a tissue-specific manner, to trigger or sustain a disease cascade, which ultimately results in the cell and synaptic loss observed in AD.

Deletion of the Hippo pathway component Salvador in mouse hearts with established ischaemic heart failure after myocardial infarction induces a reparative genetic program with increased scar border vascularity, reduced fibrosis, and recovery of pumping function. Salvador deletion reverses heart failure Previous work has shown that interfering with Hippo signalling during myocardial injury improves heart function in mice. Clinical outcomes of acute myocardial infarction in humans have improved as a result of better emergency care, but chronic heart failure, whereby the heart tissue undergoes pathological remodelling, remains a leading cause of death. James Martin and colleagues now show that the failing heart has a previously unrecognized capacity for repair. They show that blocking Hippo signalling can rescue established heart failure in mice. Deletion of the Hippo pathway component Salvador (Salv) or virus-mediated delivery of Salv short hairpin RNA when ischaemic heart failure is established can improve heart function in mice. The authors attribute the effect to the induction of a reparative genetic program, including increased expression of stress response genes and proliferative genes and preservation of mitochondrial quality control. Mammalian organs vary widely in regenerative capacity. Poorly regenerative organs, such as the heart are particularly vulnerable to organ failure. Once established, heart failure commonly results in mortality 1 . The Hippo pathway, a kinase cascade that prevents adult cardiomyocyte proliferation and regeneration 2 , is upregulated in human heart failure. Here we show that deletion of the Hippo pathway component Salvador (Salv) in mouse hearts with established ischaemic heart failure after myocardial infarction induces a reparative genetic program with increased scar border vascularity, reduced fibrosis, and recovery of pumping function compared with controls. Using translating ribosomal affinity purification, we isolate cardiomyocyte-specific translating messenger RNA. Hippo-deficient cardiomyocytes have increased expression of proliferative genes and stress response genes, such as the mitochondrial quality control gene, Park2 . Genetic studies indicate that Park2 is essential for heart repair, suggesting a requirement for mitochondrial quality control in regenerating myocardium. Gene therapy with a virus encoding Salv short hairpin RNA improves heart function when delivered at the time of infarct or after ischaemic heart failure following myocardial infarction was established. Our findings indicate that the failing heart has a previously unrecognized reparative capacity involving more than cardiomyocyte renewal.

Stress affects a constellation of physiological systems in the body and evokes a rapid shift in many neurobehavioral processes. A growing body of work indicates that the endocannabinoid (eCB) system is an integral regulator of the stress response. In the current review, we discuss the evidence to date that demonstrates stress-induced regulation of eCB signaling and the consequential role changes in eCB signaling have with respect to many of the effects of stress. Across a wide array of stress paradigms, studies have generally shown that stress evokes bidirectional changes in the two eCB molecules, anandamide (AEA) and 2-arachidonoyl glycerol (2-AG), with stress exposure reducing AEA levels and increasing 2-AG levels. Additionally, in almost every brain region examined, exposure to chronic stress reliably causes a downregulation or loss of cannabinoid type 1 (CB1) receptors. With respect to the functional role of changes in eCB signaling during stress, studies have demonstrated that the decline in AEA appears to contribute to the manifestation of the stress response, including activation of the hypothalamic-pituitary-adrenal (HPA) axis and increases in anxiety behavior, while the increased 2-AG signaling contributes to termination and adaptation of the HPA axis, as well as potentially contributing to changes in pain perception, memory and synaptic plasticity. More so, translational studies have shown that eCB signaling in humans regulates many of the same domains and appears to be a critical component of stress regulation, and impairments in this system may be involved in the vulnerability to stress-related psychiatric conditions, such as depression and posttraumatic stress disorder. Collectively, these data create a compelling argument that eCB signaling is an important regulatory system in the brain that largely functions to buffer against many of the effects of stress and that dynamic changes in this system contribute to different aspects of the stress response.

Biological ion channels have remarkable ion selectivity, permeability and rectification properties, but it is challenging to develop artificial analogues. Here, we report a metal–organic framework-based subnanochannel (MOFSNC) with heterogeneous structure and surface chemistry to achieve these properties. The asymmetrically structured MOFSNC can rapidly conduct K + , Na + and Li + in the subnanometre-to-nanometre channel direction, with conductivities up to three orders of magnitude higher than those of Ca 2+ and Mg 2+ , equivalent to a mono/divalent ion selectivity of 10 3 . Moreover, by varying the pH from 3 to 8 the ion selectivity can be tuned further by a factor of 10 2 to 10 4 . Theoretical simulations indicate that ion–carboxyl interactions substantially reduce the energy barrier for monovalent cations to pass through the MOFSNC, and thus lead to ultrahigh ion selectivity. These findings suggest ways to develop ion selective devices for efficient ion separation, energy reservation and power generation. Here, using an interfacial growth strategy, UiO-66 MOF nanocrystals are asymmetrically embedded into conical pores in a polymer membrane. These pores have a mono/divalent cation selectivity of 10 3 , which can be tuned by pH, and act as ionic rectifiers.

Aim: Non-native invasive insects have major impacts on ecosystem function, agricultural production and human health. To predict the geographical distributions of these species, correlative ecological niche models (ENMs) are typically used. Such methods rely on assumptions of niche conservatism, although there is increasing evidence that many species undergo niche shifts during invasions. The magnitude and direction of niche shifts, however, is likely to vary within and between taxonomic groups, highlighting that an assessment of potential niche shifts in such insects is required. Location: Global. Time period: Current. Major taxa studied: Insects. Methods: We compile a novel database of 22 globally invasive, non-native insect species and test for niche expansion and unfilling across this group. We examine if factors such as the native range size, poleward shifts and human influence may be associated with observed niche changes. Finally, we construct ENMs and examine the reliability of their predictions in light of our niche shift results. Results: Niche expansion was apparent in 12 of the 22 species, suggesting that altered speciesclimate relationships during invasion is common for this group. Likewise, niche unfilling occurred in 15 of the species. Increasing human disturbance (combining human population, transport networks and land use) explained 40% of observed niche expansions and 54% of incidents of niche unfilling. Niche metrics and ENM performance were sensitive to the choice of background extents. Main conclusions: Many non-native insects expand into new climates in their invasive ranges. The prevalence of niche unfilling across this group suggests climate disequilibrium and the potential for further range expansion. Non-native invasive insects tend to invade areas with similar human disturbance to their native range, and habitat accessibility appears important for these species to achieve their full invasion range potential. Ideally, ENMs should not be used in isolation for this group, but should be coupled with other methods or experiments to test for potential niche change.

Biological fluoride ion channels are sub-1-nanometer protein pores with ultrahigh F − conductivity and selectivity over other halogen ions. Developing synthetic F − channels with biological-level selectivity is highly desirable for ion separations such as water defluoridation, but it remains a great challenge. Here we report synthetic F − channels fabricated from zirconium-based metal-organic frameworks (MOFs), UiO-66-X (X = H, NH 2 , and N + (CH 3 ) 3 ). These MOFs are comprised of nanometer-sized cavities connected by sub-1-nanometer-sized windows and have specific F − binding sites along the channels, sharing some features of biological F − channels. UiO-66-X channels consistently show ultrahigh F − conductivity up to ~10 S m −1 , and ultrahigh F − /Cl − selectivity, from ~13 to ~240. Molecular dynamics simulations reveal that the ultrahigh F − conductivity and selectivity can be ascribed mainly to the high F − concentration in the UiO-66 channels, arising from specific interactions between F − ions and F − binding sites in the MOF channels. While biological fluoride ion channels display excellent F − conductivity and selectivity, designing synthetic analogues remains highly challenging. Here the authors show that zirconium-based metal–organic frameworks with F − binding sites and sub-1-nanometer channels exhibit ultrahigh F − conductivity and selectivity.

Mapping gene networks requires large amounts of transcriptomic data to learn the connections between genes, which impedes discoveries in settings with limited data, including rare diseases and diseases affecting clinically inaccessible tissues. Recently, transfer learning has revolutionized fields such as natural language understanding 1 , 2 and computer vision 3 by leveraging deep learning models pretrained on large-scale general datasets that can then be fine-tuned towards a vast array of downstream tasks with limited task-specific data. Here, we developed a context-aware, attention-based deep learning model, Geneformer, pretrained on a large-scale corpus of about 30 million single-cell transcriptomes to enable context-specific predictions in settings with limited data in network biology. During pretraining, Geneformer gained a fundamental understanding of network dynamics, encoding network hierarchy in the attention weights of the model in a completely self-supervised manner. Fine-tuning towards a diverse panel of downstream tasks relevant to chromatin and network dynamics using limited task-specific data demonstrated that Geneformer consistently boosted predictive accuracy. Applied to disease modelling with limited patient data, Geneformer identified candidate therapeutic targets for cardiomyopathy. Overall, Geneformer represents a pretrained deep learning model from which fine-tuning towards a broad range of downstream applications can be pursued to accelerate discovery of key network regulators and candidate therapeutic targets. A context-aware, attention-based deep learning model pretrained on single-cell transcriptomes enables predictions in settings with limited data in network biology and could accelerate discovery of key network regulators and candidate therapeutic targets.

Heart failure encompasses a heterogeneous set of clinical features that converge on impaired cardiac contractile function 1 , 2 and presents a growing public health concern. Previous work has highlighted changes in both transcription and protein expression in failing hearts 3 , 4 , but may overlook molecular changes in less prevalent cell types. Here we identify extensive molecular alterations in failing hearts at single-cell resolution by performing single-nucleus RNA sequencing of nearly 600,000 nuclei in left ventricle samples from 11 hearts with dilated cardiomyopathy and 15 hearts with hypertrophic cardiomyopathy as well as 16 non-failing hearts. The transcriptional profiles of dilated or hypertrophic cardiomyopathy hearts broadly converged at the tissue and cell-type level. Further, a subset of hearts from patients with cardiomyopathy harbour a unique population of activated fibroblasts that is almost entirely absent from non-failing samples. We performed a CRISPR-knockout screen in primary human cardiac fibroblasts to evaluate this fibrotic cell state transition; knockout of genes associated with fibroblast transition resulted in a reduction of myofibroblast cell-state transition upon TGFβ1 stimulation for a subset of genes. Our results provide insights into the transcriptional diversity of the human heart in health and disease as well as new potential therapeutic targets and biomarkers for heart failure.