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Cascadia is a mass spectrometry-based de novo sequencing model that uses a transformer architecture to handle data-independent acquisition data and achieves substantially improved performance across a range of instruments and experimental protocols.

Mass-wasting deposits that accumulated against mid-ocean ridge faults have high porosity in which calcium carbonate precipitated, storing seawater carbon dioxide, as revealed by cores of a 61-million-year-old seafloor talus deposit.

A study generates a clinicogenomics dataset resource, MSK-CHORD, that combines natural language processing-derived clinical annotations with patient medical data from various sources to improve models of cancer outcome.

There is a pressing need for therapeutic agents against Zika virus (ZIKV). Here the authors present cryoEM structures of a neutralizing antibody (C10) complexed with ZIKV that show C10 preventing structural changes required for virus entry into the cell, suggesting it might be effective in treating Zika infections.

When light hits organic semiconductors, bound charge pairs, called excitons, are usually produced. Here, the authors show that in the best performing organic solar material to date, free charges, rather than excitons, are directly created by light.

Focus-locking improves localization precision in single-molecule microscopy, but fiducials are often deposited at random and provide limited 3D compensation. Here, the authors fabricate 3D optical fiducials with nanometer accuracy by two-photon direct laser writing, and demonstrate isotropic 3D focus locking.

Despite observations from a hot-water-drilled access hole showing warm ocean waters beneath Thwaites Glacier Eastern Ice Shelf, the basal melt rate is strongly suppressed due to the low current speeds and strong density stratification.

Vaccines that interrupt malaria transmission will be important tools for malaria elimination. Here the authors identify a human monoclonal antibody from Pfs230 vaccinated individuals that blocks transmission of Plasmodium falciparum to mosquitoes in a complement-dependent manner and reacts with gamete surface.

The first experimental demonstration of saturable absorption in core-electron transitions in aluminium paves the way for investigating warm dense matter, which potentially has an important role in planetary science and the realization of inertial confinement fusion.

An important role is played by thermal effects in the electrically driven insulator-to-metal transition in V₂O₃.

Profiling host RNA shed in feces reveals disease states in the gut.

Skyrmions in synthetic antiferromagnets are appealing for use in future memory and computing devices, combining small size and fast motion, but creating, stabilizing, and observing them remains a challenge. Here, Juge et al demonstrate the stabilization and current and light induced nucleation of skyrmions in a synthetic antiferromagnet, observing the magnetization texture in each layer using X-ray magnetic microscopy.

Next-generation proton exchange membrane electrolyzers rely on high-performance anodes. Here, the authors report a metal-oxide-based molecular self-assembly strategy toward a support-free iridium hydroxide catalyst for an advanced anode with low-iridium loading and enhanced mass transport.

Elhan et al. show that ATG2A acts with DGAT2, the enzyme producing triacylglycerol (TAG), in lipid droplet growth. By delivering diacylglycerol to lipid droplets, ATG2A not only fuels TAG production but also promotes the recruitment of DGAT2 to droplet surfaces.

Isolation of phages associated with the gut commensal Bacteroides thetaiotaomicron reveals a link between cell surface structures, including phase-variable capsular polysaccharides, lipoproteins and S-layer proteins, and susceptibility to phage infection.

The authors have identified a subpopulation of astrocytes that is enriched in cortical layer V of the mouse cortex and is also present in the human cortex. These cells express Norrin, a protein mutated in a rare neurological degenerative disease called Norrie disease. Norrin acts on neurons to modify their morphology and activity.

Machine-learning algorithms trained on 25,000 geolocated soil samples are used to create high-resolution global maps of mycorrhizal fungi, revealing that less than 10% of their biodiversity hotspots are in protected areas.

precisION discovers, localizes and quantifies protein modifications within complex proteoform assemblies through data-driven analysis of native top-down mass spectra.

Bidirectional neural interface electronic devices offer therapeutic options. Here, the authors present wafer-scale fabrication of flexible nanoporous graphene-based implantable microelectrode arrays with low impedance and high charge injection for in vivo brain recording and nerve stimulation.

Non-fullerene acceptors are crucial for realising efficient charge transport and high power conversion in organic solar cells, yet the relationship of molecular packing and carrier transport is not well-understood. Here, the authors study the effect of side-chain engineering on the backbone assembly and the corresponding charge transport pathway.

An analysis of T cell responses in people with amyotrophic lateral sclerosis shows that the C9orf72 antigen is a key target of autoimmune responses in the disease, and identifies C9orf72 epitopes that are recognized.

Large sequences are integrated site specifically into the human genome without double-strand DNA cleavage.

In the cerebral cortex, information is processed by multiple hierarchically organized areas, reciprocally connected via feedforward and feedback circuits. Here the authors show that in primate visual cortex, feedforward projection neurons receive monosynaptic feedback contacts selectively from the area to which they project.

A comprehensive multi-omics reference atlas of prenatal human skin shows that innate immune cells crosstalk with non-immune cells to perform pivotal roles in skin morphogenesis, including the formation of hair follicles.

Corona phase molecular recognition (CoPhMoRe) involves the deposition of a heteropolymer onto a nanoparticle surface, providing a recognition site for a given analyte. Here, the authors show that CoPhMoRe can be used to selectively detect proteins (fibrinogen) with high selectivity, including in a complex serum environment.

Structural analyses of antibody-virus complexes offer critical insights into immune recognition mechanisms. In this report, we present how a patient-derived IgG recognizes a quaternary epitope on EEEV particles through strictly bivalent interactions.

Flexible neural probes, consisting of a linear array of graphene microtransistors, can be used to record from DC brain signals to high-frequency neuronal activity in awake rodents, thus showing potential for in vivo electrophysiology, and in particular epilepsy research.

Cytidine triphosphate synthase, a key enzyme in nucleotide synthesis, forms distinct filaments in Mycobacterium tuberculosis that resist cytidine triphosphate feedback inhibition, which are characterised through structural, biochemical, and cellular methods.

A representation-learning strategy for machine-learning models applied to medical-imaging tasks improves model robustness and training efficiency and mitigates suboptimal out-of-distribution performance.

Filamin C is a key actin-binding protein involved in cardiomyopathies and musculoskeletal disorders. Here, Wang et al reveal that it interacts with the heat shock protein HSPB7 under biomechanical stress, forming a stable hetero-dimer which is regulated by phosphorylation.

Engineering the tunability of protein assembly in response to pH changes within a narrow range is challenging. Here the authors report the de novo computational design of pH-responsive protein filaments that exhibit rapid, precise, tunable and reversible assembly and disassembly triggered by small pH changes.

A nanoscale polymer layer formed by mucins at the surface of tumour cells protects them against immune cell attack. This shield can be circumvented through immune cell engineering, using chimeric antigen receptors to stimulate natural killer and T cells or by tethering glycocalyx-editing enzymes to immune cells.

Wearables capable of collecting and analyzing sweat are of interest for athletics and health monitoring. Here, the authors report a resettable microfluidic platform comprising soft pumps and valves that provides triggered release of chemesthetic agents to alert the user of excessive sweat loss.

A large, open dataset containing parallel recordings from six visual cortical and two thalamic areas of the mouse brain is presented, from which the relative timing of activity in response to visual stimuli and behaviour is used to construct a hierarchy scheme that corresponds to anatomical connectivity data.

A dynamical topological phase with edge qubits that are dynamically protected from control errors, cross-talk and stray fields, is demonstrated in a quasiperiodically driven array of ten ¹⁷¹Yb⁺ hyperfine qubits in a model trapped-ion quantum processor.

This study shows that cerebellar Bergmann glia process noxious stimuli by integrating signals from the locus coeruleus. This mechanism modulates pain-related behaviors. These findings provide insight into cerebellar involvement in pain processing.

In this work, authors convert fallen leaves into energy harvesters using hygroscopic iron hydrogel, achieving continuous power generation from moisture. The device delivers high current density and power output with potential for lower environmental impact compared to alternative harvesters.

Cryoelectron microscopy analyses of the counter-clockwise and clockwise states of the Salmonella Typhimurium C-ring reveal the structural bases for changes in rotation of the bacterial flagellum.

There has long been a desire for ultrashort X-ray diffraction to study structures that change in real time. Large synchotron sources can generate X-ray pulses lasting less than a picosecond. Now, advances in high-power lasers have brought sub-picosecond X-ray diffraction to the laboratory bench — to probe the physics of ultrasonic waves in a semiconductor crystal.

Light-induced contraction in the out-of-plane direction in two-dimensional (2D) hybrid perovskites enables the realization of high-efficiency 2D perovskite solar cells.

Two-dimensional transition metal dichalcogenide diodes with defect-free van der Waals contacts allows minimization of the extrinsic interfacial disorder-dominated recombination and access to the intrinsic excitonic behaviour in two-dimensional semiconductor devices.

Access to safe, affordable and accessible drinking water is influenced by various socioeconomic factors. A survey of a large number of California water systems shows how different levels of enfranchisement are linked to uneven access to drinking water in terms of affordability and accessibility.

Representation Learning for Genetic Discovery on Low-Dimensional Embeddings (REGLE) uses machine learning to generate low-dimensional representations of healthcare data. Applied to lung spirograms and blood volume photoplethysmograms, REGLE factors capture additional information beyond expert-defined features, suggesting the utility of this approach.

Here the authors present a deep learning framework for dementia diagnosis, which can identify persons with normal cognition, mild cognitive impairment, Alzheimer’s disease, and dementia due to other etiologies.