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Garnet-type LLZO electrolytes are considered among the most promising solid-state electrolytes for all-solid-state batteries; however, numerous challenges need to be addressed before they are integrated into a cell. By precipitating amorphous zirconium oxide onto grain boundaries, increased ionic conductivity is observed and dendrite growth is suppressed.

This study presents a co-designed neuromorphic computing and neural network system for efficient and affordable modeling of ionic and electronic interactions in large-scale material systems.

This study presents a neuromorphic computing platform capable of learning cross-modal, event-driven signals for efficient real-time knowledge generalization. It also achieves zero-shot transfer learning for multimodal data.

Near-edge plasma treatment of Hf0.5Zr0.5O2 capacitors results in dielectric permittivity of 921, stored charge density of 349 μC/cm2, and energy density of 584 J/cm3 when the material’s ferroelectricity abruptly disappears after polarization fatigue.

Quantum interference effects remain elusive in halide perovskite materials. Here Zheng et al. reveal the atomic origin of the conductance features in the single perovskite quantum dot junctions, and present direct evidence of the room-temperature quantum interference effects.

Together with an accompanying paper presenting a transcriptomic atlas of the mouse lemur, interrogation of the atlas provides a rich body of data to support the use of the organism as a model for primate biology and health.

Processing heterogeneous visual data in edge-side intelligent machines is complex and inefficient. Here, the authors propose a hardware-software co-designed system using random resistive memory, achieving significant energy efficiency and training cost reductions.

Infection with SARS-CoV-2 causes interstitial pneumonia and viral replication in the lungs of transgenic mice that express a human version of ACE2, confirming the pathogenicity of the virus in this model.

Together with a companion paper, the generation of a transcriptomic atlas for the mouse lemur and analyses of example cell types establish this animal as a molecularly tractable primate model organism.

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.

Researchers engineer double-tapered optical-fibre arrays and use perovskite nanocrystal substrates for X-ray imaging with a three orders of magnitude output gain and spatial resolution of 22 lp mm⁻¹. Arrayed gamma-ray imaging is also demonstrated using a nanocrystal scintillator film.

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

A nanoengineered, zero-volume-change, complete-sealing Li-based composite electrode, comprising multilayer reduced graphene oxide and zinc oxide, is developed, achieving Li plating/stripping Coulombic efficiencies of ≥99.99%.

Experimental systems in which non-trivial topology is driven by spontaneous symmetry breaking are rare. Now, topological gaps resulting from two excitonic condensates have been demonstrated in a three-dimensional material.

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.

A trans-ancestry meta-analysis of GWAS of glycemic traits in up to 281,416 individuals identifies 99 novel loci, of which one quarter was found due to the multi-ancestry approach, which also improves fine-mapping of credible variant sets.

A stereotaxic atlas of the whole mouse brain, based on a Nissl-stained cytoarchitecture dataset with isotropic 1-μm resolution, achieved through continuous micro-optical sectioning tomography, promises to be a versatile brainsmatics tool for studying the whole brain at single-cell level.

Fuel cell catalysts meet increasing durability demands for heavy-duty applications. This study reveals that sub-angstrom strain in high-entropy intermetallics enhances both catalytic activity and long-term stability for the oxygen reduction reaction

The gut microbiota bacterium Ruminococcus gnavus is implicated in the development of cirrhotic liver encephalopathy through the production of neurotoxins.

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.

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.

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.

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.

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.

Urban populations ebb and flow as the pulse of human mobility reshapes the cityscape. This paper shows a spatiotemporal scaling laws revealing hidden patterns in these dynamic shifts, linking them to the urban fabric’s structure, density, and functionality.

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.

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.

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.

Viral pathogen load in cancer genomes is estimated through analysis of sequencing data from 2,656 tumors across 35 cancer types using multiple pathogen-detection pipelines, identifying viruses in 382 genomic and 68 transcriptome datasets.

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.

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.

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.

Some cancer patients first present with metastases where the location of the primary is unidentified; these are difficult to treat. In this study, using machine learning, the authors develop a method to determine the tissue of origin of a cancer based on whole sequencing data.

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.

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.

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.

Contact parameterises two-body correlations at short distances in dilute systems like ultracold atomic gases. Using a fundamental thermodynamic relation, Chen et al.study the contact near a continuous classical or quantum phase transition and find that it displays a number of critical behaviours.

Co-designing hardware platforms and neural network software can help improve the computational efficiency and training affordability of deep learning implementations. A new approach designed for graph learning with echo state neural networks makes use of in-memory computing with resistive memory and shows up to a 35 times improvement in the energy efficiency and 99% reduction in training cost for graph classification on large datasets.

Clinically significant genetic variation in Asian populations is under-characterized. Here, the authors show the diversity in prevalence and spectrum of human disease and pharmacogenetic variants in a multi-ethnic Asian population.

Combining high-resolution microscopic techniques with luminescent probes is important for biological imaging. Here, Mi et al. demonstrate subwavelength imaging by combining lanthanide-doped upconversion nanocrystals with ionoluminescence, revealing cellular structure and particle spatial distribution at high resolution.

Dissolved inorganic carbon can be a limiting factor for organic nitrogen production in rivers, and so bedrock composition may influence river chemistry, according to geochemical analysis of rivers in Asia and statistical analysis of global datasets.

Neovascular eye diseases cause blindness, but underlying drivers are unclear. Here, the authors show that PRL3 promotes pathological angiogenesis, and that targeting PRL3 with an antibody therapy could offer a new treatment for ocular neovascularization.