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An ex vivo model and pre-clinical study in a brain-dead recipient provide enzyme-converted O organs to avoid hyperacute rejection in ABO-incompatible kidney transplant patients.

Shahin Alipour Bonab and colleagues proposed and developed AI surrogate models that can predict time-dependent AC losses of superconducting motor of future hydrogen-powered cryo-electric aircraft. Benefiting of ultra-fast predictions, the model will be used in system-level model for aircraft propulsion system in the context Airbus CryoProp project.

The interfaces in perovskite solar cells are critical to the device performance. Li et al. tune the bond strength of the interfacial molecule with the perovskite and the electron transport layer, increasing the power conversion efficiency of the cells.

Achieving both high activity and selectivity in CH₄ photooxidation to C₂₊ hydrocarbons is challenging. This work shows that integrating photochemical and photothermal effects enhances both, enabling efficient CH₄ oxidative coupling to C₂₊ alkanes.

The conventional approach with applying self-assembled monolayer suffers from limited interface coverage and weaker dipole interactions. Here, authors employ ferroelectric molecule to construct a dipole layer, achieving certified efficiency of 25.36% for inverted perovskite solar cells.

High-throughput computational screening of multicomponent molecular photocatalytic systems offers a strategy to minimize the screening of large numbers of photosensitizer–catalyst combinations. Here a machine learning-accelerated approach using multiple descriptors shows strong predictive power in experimentally validated systems for CO₂ reduction.

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

Accurately predicting how much rising atmospheric carbon dioxide can increase rice production is important for managing global rice production. This study highlights that elevated carbon dioxide will boost rice yields more in middle-to-high-income countries than in low-income countries, and that this yield gap will continue to widen in the future.

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.

Deformation twinning, a key deformation mechanism that is rarely explored in superhard materials, is shown to be activated in cubic boron nitride and other cubic covalent materials under a loading-specific twinning criterion.

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.

Understanding magnetic materials at the nanoscale is important for the development of novel applications, but has been hampered by a lack of suitable experimental techniques. Here, the use of transmitted electrons permits the determination of atomic site-specific magnetic information.

6R-TaS2 is a natural van der Waals heterostructure formed by 1H- and 1T-phase TaS₂ layers, which can individually exhibit Ising superconductivity, correlated states and charge density waves. Here, the authors show experimental evidence of emergent nematic Ising superconductivity with simultaneous hidden magnetism (extrinsic anomalous Hall effect and Kondo screening) in 6R-TaS₂ under 30 K.

A pan-cancer genomic analysis reports the effects of structural variations on chromatin domains (TADs). Most TAD disruptions do not result in appreciable changes in expression of nearby genes.

Reaching a quantum advantage in metrology usually requires hard-to-prepare two-mode entangled states such as NOON states. Here, instead, the authors demonstrate single-mode phase estimation using Fock states superpositions in a superconducting qubit-oscillator system.

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.

Catenanes can exhibit chirality even when their component rings are achiral. Here an isostructural desymmetrization strategy is developed, demonstrating that two achiral rings, each featuring two mirror planes and a two-fold axis of symmetry, can form a catenane with tuneable mechanical chirality.

A ‘smart’ toilet that uses pressure and motion sensors, biometric identification, urinalysis strips, a computer-vision uroflowmeter and machine learning longitudinally tracks biomarkers of health and disease in the user’s urine and stool.

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.

Whole-genome sequencing data for 2,778 cancer samples from 2,658 unique donors across 38 cancer types is used to reconstruct the evolutionary history of cancer, revealing that driver mutations can precede diagnosis by several years to decades.

The authors mapped the dendritic morphology of thousands of striatal D1-type and D2-type medium spiny neurons in healthy and Huntington’s disease mouse brains, revealing dendritic modules with distinct neuronal shapes, spatial distributions and cortical inputs.

Oxygen redox in transition metal oxides enhances the energy content of Na-ion batteries but is typically plagued by poor reversibility. Here, the authors achieve non-hysteresis through the formation of a spin singlet state to stabilize the active oxygen redox reaction in P3-type Na_2/3Cu_1/3Mn_2/3O₂.

Zeolites are porous aluminosilicate molecular sieves with uniform pores of molecular dimensions that have a wide range of applications. Here authors use machine learning to guide zeolite synthesis and predict the structure and properties of faujasite zeolites from synthesis conditions.

Analyses of 2,658 whole genomes across 38 types of cancer identify the contribution of non-coding point mutations and structural variants to driving cancer.

Spin-orbit torques, arising in systems with strong spin-orbit interactions, have been a major avenue of research for the potential electric control of magnetization. Recently, unconventional spin-orbit torques, with spin polarizations aligned in atypical ways have garnered interest due to the numerous advantages offered compared to their conventional counterparts. Here, Xue et al investigate ‘type-x’ spin-orbit torque switching, demonstrating both unique spin polarizations, and field-free magnetization switching in Platinum/Cobalt multilayers.

Entanglement was observed in top–antitop quark events by the ATLAS experiment produced at the Large Hadron Collider at CERN using a proton–proton collision dataset with a centre-of-mass energy of √s  = 13 TeV and an integrated luminosity of 140 fb⁻¹.

Whole-genome sequencing data from more than 2,500 cancers of 38 tumour types reveal 16 signatures that can be used to classify somatic structural variants, highlighting the diversity of genomic rearrangements in cancer.

An analysis of 2,954 genomes from 38 cancer subtypes identified 19,166 retrotransposition events in 35% of samples. Aberrant LINE-1 retrotranspositions can lead to the deletion of tumor-suppressor genes as well as the amplification of oncogenes.

The mechanism of enhanced superconducting transition temperature (T_c) at the FeSe/SrTiO₃ interface remains enigmatic. Here, Song and Yu et al. reveal the evidence of cooperation between intrinsic pairing interaction in FeSe and interfacial electron–phonon coupling to enhance the T_c at the FeSe/SrTiO₃ interface.

Cancers evolve as they progress under differing selective pressures. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, the authors present the method TrackSig the estimates evolutionary trajectories of somatic mutational processes from single bulk tumour data.

The CMS Collaboration reports the study of three simultaneous hard interactions between quarks and gluons in proton–proton collisions. This manifests through the concurrent production of three J/ψ mesons, which consist of a charm-quark–antiquark pair.

The collective-flow-assisted nuclear shape-imaging method images the nuclear global shape by colliding them at ultrarelativistic speeds and analysing the collective response of outgoing debris.

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.

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.

Many tumours exhibit hypoxia (low oxygen) and hypoxic tumours often respond poorly to therapy. Here, the authors quantify hypoxia in 1188 tumours from 27 cancer types, showing elevated hypoxia links to increased mutational load, directing evolutionary trajectories.

Lilies are perennial plants with ornamental flowers and large genomes. The authors assemble genomes of two Liliales species, analyze lily phylogeny, flower and stem development (bulbs in lilies, rhizomes in flame lilies), bulb growth transitions, and colchicine biosynthesis.

Translation inhibition is a strategy for organisms to overcome various environmental stresses including viral infections. Here the authors show that a tRNA/rRNA-targeting RNase Schlafen13 inhibits protein synthesis by directly digesting cytoplasmic tRNA and rRNA with the ability to restrict viral propagation.

The interaction between antiferromagnetic magnons and electrons sits at the heart of many strongly correlated systems, however, investigation has been hampered by a lack of clear-cut examples. Here, Yu et al directly observe a kink in the dispersion, a result of renormalization due to the electron-antiferromagnetic magnon interaction.

Free-electron lasers are capable of high repetition rates and it is assumed that protein crystals often do not survive the first X-ray pulse. Here the authors address these issues with a demonstration of multi-hit serial crystallography in which multiple FEL pulses interact with the sample without destroying it.

Tumor-reactive T cell receptors are rapidly identified from lymphocyte scRNA-seq data.

A miniaturized and low-power-consumption system is designed to allow the accurate sensing and wireless transmission of internal temperature and strain signals inside lithium-ion batteries with negligible influence on their performance, improving their safety.

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.

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.

Low effective doping of boron limits the performance of solar cells based on hydrogenated amorphous silicon. Liu et al. show that light induces the diffusion of hydrogen atoms, which activates boron doping, enabling a power conversion efficiency of over 25%.

Electron doping is a powerful way to induce quantum phase transitions in materials and explore exotic states of matter. Here, Wen et al. present carefully-controlled potassium dosing in FeSe films and FeSe_0.93S_0.07bulk, which enhances superconductivity and induces other anomalous phases, revealing a complex phase diagram.

The anisotropic electrical and optical response of materials has allowed for the development of variety of sensors, memories and other interesting devices. Here, Qi et al turn their attention to the van der Waals antiferromagnetic insulator CrPS₄, and demonstrate a very large, electrically tunable anisotropy in magnon transport, and present a multibit read-only memory based on this anisotropy.