Search

This study demonstrates the capability of deep learning protein design models in generating functionally validated β-strand pairing interfaces, expanding the structural diversity of de novo binding proteins and accessible target surfaces.

Experimental measurements of high-order out-of-time-order correlators on a superconducting quantum processor show that these correlators remain highly sensitive to the quantum many-body dynamics in quantum computers at long timescales.

The atomic structure of graphene edges is critical in determining their physical and chemical properties, but they are typically far from ideal. Here, the authors fabricate atomically perfect graphene edges via electron beam mechanical rupture or tearing in high vacuum conditions.

Janus graphene nanoribbons with localized states on a single zigzag edge are fabricated by introducing a topological defect array of benzene motifs on the opposite zigzag edge, to break the structural symmetry.

The functions of the vast majority of brain-expressed spliced isoforms are unknown. Here the authors describe an isoform-resolution perturbation system coupled to a single cell transcriptomics read-out, and through this approach identify neuronal microexons that control autism-linked signatures underlying neuronal maturation and function

Scholl et al. show that PopZ forms filamentous condensates driven by its helical domain and inhibited by its disordered region. Phase-dependent conformations modulate client interactions and disruption of filamentation or condensation impairs cellular function and growth.

Humanity’s Last Exam, a multi-modal benchmark at the frontier of human knowledge, is designed to be an expert-level closed-ended academic benchmark with broad subject coverage.

Bacteria secrete polysaccharides essential for colonization and infections. Here, the authors reveal the structure and mechanism of WzaB, a Class-3 OPX protein, uncovering a distinct trans-envelope secretion complex driving critical polysaccharide export in diderm bacteria.

A soft robotic probe enables continuous in utero monitoring of fetal physiological parameters, including heart rate, blood oxygen saturation, temperature and electrocardiogram data, during open or fetoscopic surgery to provide real-time information on fetal condition and distress.

MAGPIE is a computational framework for co-registering spatially-resolved transcriptomics, metabolomics and tissue morphology for integrated downstream analysis. Case studies across lung, brain and breast reveal coordinated cross-modality molecular changes.

Next-generation light sources and fast detectors enable unparalleled materials characterization, but increased data rates and compute needs preclude real-time analysis. Here, Babu et al. leverage high-performance computing and AI@Edge to achieve real-time, low-dose imaging on streaming data at 2 KHz.

Decoupling spin-polarized edge states using substitutional N-atom dopants along the edges of a zigzag graphene nanoribbon (ZGNR) reveals giant spin splitting of a N-dopant edge state, and supports the predicted emergent magnetic order in ZGNRs.

Creating magnetic order in non-magnetic materials is a long-standing goal. In this article, through density-functional calculations, the authors show that silicon surfaces with adsorbed gold atoms can become magnetic due to ordering of the spins of atoms at the step edges, paving the way towards new materials for spintronics.

Vinyl acetate is an important polymer building block, but the mechanisms governing its catalytic production are not well understood. This study shows that dynamic palladium-acetate clusters determine catalyst efficiency and selectivity in vinyl acetate synthesis.

Edge effects matter in graphene, particularly in nanoribbons. A study using scanning tunnelling microscopy and spectroscopy reveals how chirality at the atomically well-defined edges of a graphene nanoribbon affects its electronic structure.

The broken-symmetry edge states that are the hallmark of the quantum Hall effect in graphene have eluded spatial measurements. Here, the authors spatially map the quantum Hall broken-symmetry edge states using atomic force microscopy and show a gapped ground state proceeding from the bulk through to the quantum Hall edge boundary.

Resistive switching in metal oxides is related to the migration of donor defects. Here Baeumer et al. use in operandoX-ray spectromicroscopy to quantify the doping locally and show that small local variations in the donor concentration result in large variations in the device resistance.

Bottom-up fabrication of GNR heterojunctions exhibiting atomically perfect heterojunction interfaces can be obtained from a single molecular precursor via post-growth modification

A quantitative sensor of spatial and temporal dynamics of activity of the protein tyrosine kinase Src shows that its activity peaks 1–2 μm from the leading edge of cells undergoing lamellipodial membrane extension, and the activation is correlated with protrusion velocity.

The capability of positioning target molecules onto the edges of patterned graphene nanostructures is highly desirable. Here, the authors demonstrate that the atomically sharp edges of graphene can be used as dielectrophoretic tweezers for gradient-force-based trapping applications.

Antibacterial compounds are discovered by combining phenotypic screening with deep learning.

The authors present a valley-Hall topological acoustofluidic chip revealing the complex interactions between elastic valley spin and nonlinear fluid dynamics, revealing its potential towards on-chip biological applications.

Topological photonic structures can be understood by solving the eigenvalue problem of Maxwell’s equations in the static case. Here, the authors study Floquet topological phases in nonlinear photonic crystals under external drive and show how non-reciprocal transport can be achieved in a Floquet Chern insulator.

How receptor localization affects morphogen gradient formation during embryonic development is unclear. Here, the authors study the relationship between the BMP gradient, receptor localization, and compartmentalized geometry in the early mouse embryo, using experimental data and computational simulation.

Chromatin structure is regulated by chemical modifications of histone proteins, but measuring these at single-cell resolution has been challenging. Here, the authors develop a mass spectrometry-based method to profile histone modifications in individual cells, revealing chromatin heterogeneity and differential co-regulation.

A consensus cell type atlas for the fly brain provides both an intellectual framework and open-source toolchains for brain-scale comparative connectomics.

The valley degree of freedom gives additional flexibility to tunable phononic and photonic crystals. Here, the authors realise a honeycomb phononic structure where both the size of the cavities and of the air channel can be actively tuned, allowing several functionalities in a broad frequency range.

The 4D Nucleome Project demonstrates the use of genomic assays and computational methods to measure genome folding and then predict genomic structure from DNA sequence, facilitating the discovery of potential effects of genetic variants, including variants associated with disease, on genome structure and function.

One-dimensional molecular arrays on graphene field-effect transistors can be reversibly switched between different periodic charge states by tuning the graphene Fermi level via a back-gate electrode and by manipulating individual molecules, allowing them to function as a nanoscale shift register.

Transonic buffet is a ubiquitous challenge in commercial aviation since it can result in catastrophic structural failure of the aircraft wings. Here, authors experimentally show that this critical aerodynamic phenomenon can be mitigated using a carefully designed porous trailing edge on the wing.

The interaction between photonic bandgap materials and light is largely determined by the wavelength-scale material structure. Here, Sellerset al. develop a new metric of network structural order and demonstrate its connection to the photonic bandgap of an amorphous gyroid network.

The characterization of 4,645 whole-genome and 19,184 exome sequences, covering most types of cancer, identifies 81 single-base substitution, doublet-base substitution and small-insertion-and-deletion mutational signatures, providing a systematic overview of the mutational processes that contribute to cancer development.

Here authors show loss of AKAP11, a strong genetic risk factor for bipolar disorder and schizophrenia, disrupts PKA proteostasis and signaling, leading to widespread transcriptomic alterations across the brain, particularly in striatal neurons, as well as altered behavior.

The hypothesis that species are most abundant at the centre of their geographic range has been widely debated. Here, by analysing over 3,600 species, the authors find that this pattern is generally not true for animals but does occur in some plant groups, being influenced by dispersal traits and evolution.

Electrochemical properties of organic mixed ionic–electronic conductors depend on their microstructure in operational ionic environments. The microstructure of a model organic mixed ionic–electronic conductor across multiple length scales in both dry and hydrated states, as well as its evolution on hydration, is revealed using cryogenic four-dimensional scanning transmission electron microscopy.

Urban heat islands and rising cooling demands highlight the need for sustainable nature-based solutions. A meta-analysis of 373 studies shows nature-based solutions cut daytime temperatures by 2.04 °C and cooling loads by 1.32%, with green infrastructure being the most effective across most climates.

An emerging research area in AI is developing multi-agent capabilities with collections of interacting AI systems. Andrea Soltoggio and colleagues develop a vision for combining such approaches with current edge computing technology and lifelong learning advances. The envisioned network of AI agents could quickly learn new tasks in open-ended applications, with individual AI agents independently learning and contributing to and benefiting from collective knowledge.

Combining MEG, eye-tracking, and representational similarity analysis, this study shows that readers rapidly and sequentially extract orthographic and semantic information from upcoming words before fixation, supporting efficient reading.

The programmable nature of chemical reactions enables the creation of complex networks; however, it can be difficult to redesign the underlying reactions. Here, systematic and quantitative control over the diffusivity and reactivity of DNA molecules yields highly programmable chemical reaction networks that execute macroscale pattern transformation algorithms, such as edge detection.

In chemical-genetic and lipidomics analyses, the clinical candidate oncology drug tegavivint induced an unconventional form of nonapoptotic cell death that required the lipid metabolic enzyme trans-2,3-enoyl-CoA reductase.

The interface between magnetic and ferroelectric thin-film materials offers the opportunity to couple these important properties. Here, the authors combine experimental and theoretical studies into a model interface to investigate the details of how electron charges and spins evolve across this interface.

Photonic integrated circuits allow laser displays to be flattened into a compact form factor while improving efficiency and colour performance.

Growth of high-quality III–V semiconductors for electronics and optoelectronics usually requires an atomic-lattice matched substrate. Here, the authors use templated liquid-phase crystal growth to create single-crystalline III–V material up to ten micrometres across on an amorphous substrate.

Large-scale numerical examination of a disordered Bose–Hubbard model in two dimensions shows entanglement based signature of many-body localization, providing answers to the challenging questions posed by recent experiments.