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Traditional nanopore sensors use barrel-shaped protein channels. Here, the authors report on a study into the use of globular protein, ferritin, as a nanopore sensor, demonstrating membrane insertion and sensor application, showing the potential of non-barrel-shaped proteins for nanopore sensing.

Zhang, Ma et al. report that ROS-activated O-GlcNAc transferase promotes FOXK2 O-GlcNAcylation and nuclear translocation to upregulate SLC7A11 expression, thereby modulating ferroptosis sensitivity, tumour development and chemoradiotherapy efficacy.

The insertion of thin layers of cobalt can stabilize β-tungsten under back-end-of-line thermal constraints, allowing a 64-kb spin–orbit torque magnetic random-access memory to be fabricated that offers a spin–orbit torque switching of 1 ns, data retention of more than 10 years and a tunnelling magnetoresistance of 146%.

While Bell inequalities have been violated several times—mostly in photonic systems—their violations within particle physics experiments are less explored. Here, the BESIII Collaboration showcases Bell-violating nonlocal correlations between entangled hyperon pairs.

Shape-changing materials have potential in a range of applications, but these transformations can be challenging to control. Here, the authors report the hydrophobic pseudo-hydrogel, which utilizes absorption-induced expansion via elastocapillarity to enable versatile soft robotic applications.

Federated learning (FL) algorithms have emerged as a promising solution to train models for healthcare imaging across institutions while preserving privacy. Here, the authors describe the Federated Tumor Segmentation (FeTS) challenge for the decentralised benchmarking of FL algorithms and evaluation of Healthcare AI algorithm generalizability in real-world cancer imaging datasets.

Using spin-entangled baryon–antibaryon pairs, the BESIII Collaboration reports on high-precision measurements of potential charge conjugation and parity (CP)-symmetry-violating effects in hadrons.

The authors demonstrate that the response of the flexural vibrations of twisted bilayer graphene can be hysteretic depending on the angle between the lattices of the layers, finding that the quality factors of the vibrations are enhanced compared to untwisted bilayers.

The study shows that lunar ilmenite preserves less solar wind-generated water than silicate minerals, likely due to faster water escape. This finding suggests that ilmenite may critically influence surface water variations within the lunar Procellarum KREEP Terrane.

Detecting early allopolyploidy events and understanding the specific subgenomic evolution contributing to the origin of adaptive innovations for species radiation are challenging. Here, the authors address these problems by analyzing nine newly assembled genomes of Salicaceae species from different genera.

Generation of multipartite entanglement between quantum states is crucial for developing quantum computation systems, although it has proven harder to achieve for photons than ions. Here, an eight-photon entangled state based on four independent photon pairs is observed, beating the previous record of six.

The authors present SVclone, a computational method for inferring the cancer cell fraction of structural variants from whole-genome sequencing data.

Voxel bioprinting uses bio-ink droplets as building blocks to create functional tissue mimics, but manipulating small bio-ink droplets in 3D space can be challenging. Here, the authors report a bioprinting technology allowing prescribed assembly of bio-ink voxels to form robust 3D constructs.

Despite the importance of polycyclic carboxylic acids and derivatives in various fields, general methods for the arylcarboxylation of alkenes with CO₂ remain elusive. Here, the authors transform unactivated alkenes into high value-added polycyclic carboxylic acids and derivatives via visible-light photoredox-catalysis, using CO₂ as the one-carbon feedstock.

The authors experimentally realize the control of the topological charge of magnetic skyrmionic structures at room temperature in a Dzyaloshinskii-Moriya interaction (DMI) platform with spatially alternating signs. By modifying the DMI energy landscape through chemisorbed oxygen, a magnetic topological transition is realized.

Clusters have proven useful models to elucidate the correlation between macroscopic properties and microstructures, but the exploration of actinide clusters lags. Here, the authors report the synthesis of a tetra-shell mixed-metal cluster which features a Th₁₃ core and acts as a highly effective visible light-driven CO₂ reduction photocatalyst.

The full exploitation of back contact silicon solar cells is crucial to achieve a high performance for potential industrialization. Here, authors incorporate a double-sided light management strategy to reduce optical losses, achieving a total-area efficiency of 27.03% for 350 cm2 solar cells.

The semileptonic decay channels of the Λc baryon can give important insights into weak interaction, but decay into a neutron, positron and electron neutrino has not been reported so far, due to difficulties in the final products’ identification. Here, the BESIII Collaboration reports its observation in e+e- collision data, exploiting machine-learning-based identification techniques.

Investigating the inner structure of baryons is important to further our understanding of the strong interaction. Here, the BESIII Collaboration extracts the absolute value of the ratio of the electric to magnetic form factors and its relative phase for e + e − → J/ψ → ΛΣ decays, enhancing the signal thanks to the vacuum polarisation effect at the J/ψ peak.

The performance of inorganic, wide-bandgap perovskite solar cells is hindered by unsuitable electron transport layers. Han et al. design an acidic magnesium-doped tin oxide quantum dot layer, improving efficiency and stability in single-junction and tandem cells.

It has been predicted that entanglement phase diagrams of Haar-measure random states can show interesting phenomenology, including entanglement phase transitions. Here, the authors confirm these predictions using up to 15 qubits in a fully-connected superconducting quantum processor.

Ambient-pressure superconductivity onset above the McMillan limit in bilayer nickelate epitaxial thin films is reported, paving the way for comprehensive investigations of superconductors and for exploring superconductivity at higher transition temperatures in heterostructures.

The significance of precatalyst activation and its impact on electrolyte properties in water electrocatalysis is crucial but often overlooked. The authors report an efficient transition metal catalyst for hydrogen production by manipulating both precatalyst reconstruction and electrolyte composition.

Devices based on a vertical van der Waals heterostructure of solution-processed zirconium oxide and molybdenum disulfide can reconfigure between transistor and diode modes, and be fabricated on the wafer-scale.

The solvent choice for processing organic solar cells impacts layer morphology and ultimately device performance. By controlling the molecular interactions, Zhang et al. realize a solvent-independent morphology that leads to high device efficiency.

The flagship paper of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium describes the generation of the integrative analyses of 2,658 cancer whole genomes and their matching normal tissues across 38 tumour types, the structures for international data sharing and standardized analyses, and the main scientific findings from across the consortium studies.

Integrative analyses of transcriptome and whole-genome sequencing data for 1,188 tumours across 27 types of cancer are used to provide a comprehensive catalogue of RNA-level alterations in cancer.

Resource scarcity and associated trade risks will limit China’s comprehensive energy transition; even with possible material substitution, the contribution of wind and solar power will be far from expected, yielding a big gap of carbon reductions.

In this study the authors consider the structural variants (SVs) present within cancer cases of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium. They report hundreds of genes, including known cancer-associated genes for which the nearby presence of a SV breakpoint is associated with altered expression.

Understanding deregulation of biological pathways in cancer can provide insight into disease etiology and potential therapies. Here, as part of the PanCancer Analysis of Whole Genomes (PCAWG) consortium, the authors present pathway and network analysis of 2583 whole cancer genomes from 27 tumour types.

Analysis of cancer genome sequencing data has enabled the discovery of driver mutations. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium the authors present DriverPower, a software package that identifies coding and non-coding driver mutations within cancer whole genomes via consideration of mutational burden and functional impact evidence.

The interplay between superconductivity and charge density wave (CDW) gives rise to exotic quantum phenomena. Here, the authors observe magnetoresistance oscillations and an anomalous metal state due to the coexistence of superconductivity and CDW in lithium intercalated TiSe₂.

Multi-omics datasets pose major challenges to data interpretation and hypothesis generation owing to their high-dimensional molecular profiles. Here, the authors develop ActivePathways method, which uses data fusion techniques for integrative pathway analysis of multi-omics data and candidate gene discovery.

Chiral vicinal amino alcohols are found in many bioactive compounds and may serve as chiral ligands. Here, the authors report a photocatalytic enantioselective cross-coupling of nitrones with aromatic aldehydes with a chiral ligand-coordinated rare earth ion synergistically producing enantiopure vicinal amino alcohols.

Prime editing systems (PEs) hold great promise though the editing range is limited to downstream sequences of the pegRNA nick. Here, the authors report the extended prime editor system (EXPERT), which overcomes this limitation enabling efficient editing on both sides of the pegRNA nick.

With the generation of large pan-cancer whole-exome and whole-genome sequencing projects, a question remains about how comparable these datasets are. Here, using The Cancer Genome Atlas samples analysed as part of the Pan-Cancer Analysis of Whole Genomes project, the authors explore the concordance of mutations called by whole exome sequencing and whole genome sequencing techniques.

Here the authors describe a genomic dataset, the1000 Chinese Indigenous Pig Genomes Project (1KCIGP), based on the whole-genome sequencing of 1,011 Chinese domestic pigs from 50 distinct populations, which provides insights into the genomic architecture of domestic pigs.

In somatic cells the mechanisms maintaining the chromosome ends are normally inactivated; however, cancer cells can re-activate these pathways to support continuous growth. Here, the authors characterize the telomeric landscapes across tumour types and identify genomic alterations associated with different telomere maintenance mechanisms.

The use of conventional X-ray scattering techniques is challenging to detect donor-acceptor contrast within amorphous intermixing regions. Here, the authors apply neutron scattering and targeted deuteration to enhance the contrast by one order of magnitude and reveal short-range aggregations of d-Y6.

There’s an emerging body of evidence to show how biological sex impacts cancer incidence, treatment and underlying biology. Here, using a large pan-cancer dataset, the authors further highlight how sex differences shape the cancer genome.

One of the mechanisms underlying platinum (Pt) resistance is the spontaneous nucleotide-excision repair of cancer cells. Here, nuclease-mimetic Pt nanozymes are targeted to the cancer cell nucleus and induce concurrent DNA platination and oxidative cleavage to overcome Pt resistance.

Discovering active phases in heterocatalysis entails efficient configuration sampling and optimization. Here, the authors developed a framework based on topology and machine learning to effectively explore the active structures, applied in the CO2 electroreduction and Oxygen Reduction Reaction