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Memristive technology is a promising avenue towards realizing efficient non-von Neumann neuromorphic hardware. Boybat et al. proposes a multi-memristive synaptic architecture with a counter-based global arbitration scheme to address challenges associated with the non-ideal memristive device behavior.

Medulloblastomas (MBs) are highly heterogeneous paediatric brain tumours that remain challenging to treat. Here, the authors integrate proteomics, epigenomics, transcriptomics and post-translational modification analyses to find molecular subgroups and potential therapeutic targets in MB tumours.

Three-dimensional nonlinear optical metamaterials are realized by directly engineering the symmetries of electronic wavefunctions at the atomic scale by stacking individual two-dimensional van der Waals interfaces into a precisely designed three-dimensional configuration.

There is increasing effort to improve the signal sensitivity and explore the hyperpolarization dynamics. Here the authors demonstrate the parahydrogen spin transfer dynamics in compounds containing ¹⁵N using SABRE hyperpolarization technique with different strengths of the magnetic field.

The non-ideal characteristics of resistive memory devices can be used to develop low-power and resilient probabilistic neuromorphic computing hardware, suitable for highly constrained edge-based applications.

The first annotated chromosome-level reference genome assembly for pea, Gregor Mendel’s original genetic model, provides insights into legume genome evolution and the molecular basis of agricultural traits for pea improvement.

Tissue remodeling involves substantial involvement of the contractile actomyosin cytoskeleton. Here the authors model the spatiotemporal evolution of actomyosin densities during Drosophila germband extension and find affine and nonaffine deformations that depend on the magnitude of local contractile stress.

Genomic and molecular analyses of Clunio marinus timing strains suggest that modulation of alternative splicing of Ca2+/calmodulin-dependent kinase II represents a mechanism for evolutionary adaptation of circadian timing.

Rheumatoid arthritis usually begins in one joint but spreads to other joints as the disease progresses. Elena Neumann and her colleagues show that rheumatoid arthritis synovial fibroblasts (RASFs) may be key mediators of this process. They show, using a SCID mouse model, that human RASFs can migrate long distances through the bloodstream from diseased cartilage to unaffected cartilage, where they can mount a new attack.

Machine learning tools allow to extract dynamical systems from data, however this problem remains challenging for networks and systems of interacting agents. The authors introduce an approach to learn a predictive model for the dynamics of coupled agents in the form of partial differential equations using emergent spatial embeddings.

Designing efficient reconfigurable field effect transistors remains a challenge. Here, the authors develop a transistor with three distinct operation modes, realized directly on an industrial 22nm FDSOI platform, demonstrating a reconfigurable analog circuit element with signal follower, phase shifter, and frequency doubler operation.

Pancreatic ductal adenocarcinoma (PDAC) has a poor prognosis involving evasion of immune control. Here, the authors perform a comprehensive analysis of single-cell multi-omic data revealing either a myeloid-enriched or adaptive-enriched tumour microenvironment, linked to distinct B and T cell clonal selection and differentiation, distinct overall survival, and potential therapeutic approaches.

Response to tebentafusp is variable in patients with metastatic uveal melanoma. Here, the authors use droplet digital PCR to detect ctDNA and show that ctDNA positivity was associated with shorter overall survival.

Continuous-variable QKD protocols are usually easier to implement than discrete-variables ones, but their security analyses are less developed. Here, the authors propose and demonstrate in the lab a CVQKD protocol that can generate composable keys secure against collective attacks.

Combining magnetic and semiconducting properties in a single material offers great technological potential, all the more so if these are coupled with good optical properties. Here, Neumann et al. present a Manganese doped Ruddlesden-Popper perovskite with this trifecta of attributes.

Plasma extracellular vesicles contain quantifiable amounts of TDP-43 and full-length tau, allowing the accurate assessment of pathology in frontotemporal dementia, frontotemporal dementia spectrum disorders and amyotrophic lateral sclerosis.

How hair follicle regeneration arises readily in some species ie. spiny rather than laboratory mice, is unclear. Here, authors compare them, showing an optimal stiffness is needed for placode formation and the difference in hair follicle regenerative behaviour after wounding is linked to Twist1.

How the brain controls pain perception remains elusive. Here, authors show that layers 5 and 6 of the somatosensory cortex suppress or enhance nociception through cell-type-specific cortical and corticothalamic interactions.

Mapping fixed brain samples with extracellular labeling and optical microscopy reveals synaptic connections.

Conventional grain growth models assume the velocity of a grain boundary is proportional to its curvature but cannot account for the many deviations observed experimentally. Here, the authors present a model that connects grain growth directly to the disconnection mechanism of grain boundary migration and can account for these deviations.

SLAM seq detects s⁴U incorporation into RNA and, combined with 3′-end RNA-seq, provides insight into RNA turnover.

The authors present a public collection of 117 bacterial isolates from the pig gut, including the description of 38 novel taxa. Interesting functions discovered in these organisms include a new fucosyltransferease and sactipeptide-like molecules encoded by biosynthetic gene clusters.

This Review summarizes latest advancements in memristor-based hardware accelerators, an energy-efficient solution for computing-intensive artificial intelligence algorithms, covering crossbar arrays, peripheral circuits, architectures and software–hardware co-designs. It analyses challenges and pathways for the transition of memristor technology to commercial products.

Isolation of circulating tumor cells (CTCs) allows for non-invasive disease monitoring and characterization. Here the authors describe an alternative CTC isolation method based on the ability of the malaria rVAR2 protein to specifically bind oncofetal chondroitin sulfate, which is expressed by all cancer cells

Calcium imaging has been used to visualize the activity of individual synapses, but cannot be scaled up to monitor thousands of synapses in tissue. Here, the authors present genetic tools that can be photoconverted from green to red to create a map of active synapses.

Progressive respiratory failure is the primary cause of death in patients with COVID-19, but pathologies in other tissues may also occur. Here the authors report that adrenal tropism of SARS-CoV-2 is associated with adrenalitis, reduced adrenal cortisol levels and severe adrenal damage in a post-mortem case series of patients with severe fatal COVID-19.

Machine learning systems use algorithms that can interpret data to make improved decisions. Hermans et al. develop a physical scheme for a computing system based on recurrent neural networks that physically implements the error backpropagation algorithm, thus performing its own training process.

Single-cell transcriptomics allows gene expression heterogeneity to be assessed at cellular resolution but the original location of each cell is unknown. Here the authors combine single nuclei RNA-seq with 3D spatial reconstruction of floral meristems to link gene activities with morphology.

Here, Bachmann et al. provide data on long-term dynamics of the HIV-1 reservoir in 1,057 individuals on suppressive antiretroviral therapy and show that in 26.6% of individuals the reservoir increases. Viral blips and low-level viremia are significantly associated with a slower reservoir decay.

In quantum sensing, memories have been used to enhance measurement precision. Here, the authors demonstrate the use of a memory to increase sensitivity of single ¹³C nuclear spins spectroscopy by storing the full sensor state and entangling memory and sensor.

Paediatric high-grade gliomas with MYCN amplification (HGG-MYCN) are rare and highly aggressive. Here, the authors generate a mouse model for HGG-MYCN that can recapitulate the histological and molecular profiles of the human tumours, and perform high-throughput drug screening to identify potential treatment options.

A study in Arabidopsis thaliana shows that the immune receptor-associated cytosolic kinase BIK1 phosphorylates OSCA1.3 and identifies OSCA1.3 as the pathogen-responsive Ca²⁺-permeable channel that regulates stomatal closure.

It has been shown previously that substrate viscoelasticity affects surface wettability. Here the authors observe a wetting transition during drying of droplets on such substrates and elucidate it with high resolution force field measurements thereby determining its dependence on substrate properties.

Lasing action from an optically pumped bound state in the continuum cavity is demonstrated, of both fundamental interest and with applications from optical trapping to biological sensing and quantum information.