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Authors develop a machine learning model using routine blood tests that identify people at higher risk of complications from high myopia. Their results support opportunistic screening during health checks to enable earlier referral.

The practical application of high-concentration electrolytes are promising candidates for high-energy-density lithium metal batteries is hindered by sluggish ionic transfer and high costs. Here, authors show an interfacial high-concentration electrolyte (5 M LiTFSI) at the Li anode surface, maintaining a 1 M in the bulk, enabling a 506 Wh/kg Li-metal 6.8 Ah-pouch cell.

A blood-based signature is shown to detect blinding disease risk and discriminate among seven different diseases in multiple cohorts including more than 200,000 individuals, including prospective and population-level cohorts.

Liu, Wang et al., use weekly surveillance data from 2021-2024 to analyse the influence of interactions of SARS-CoV-2, influenza, and respiratory syncytial virus on epidemic timing and risk. The findings indicate that influenza virus circulation may transiently reduce population-level infection to SARS-CoV-2.

The application of Li-metal batteries (LMBs) is impeded by unstable solid electrolyte interphase (SEI) and uncontrollable Li dendrites growth. Here, the authors present an YF₃/PMMA composite layer to achieve high-performance LMBs via the synergetic regulation of SEI mechanics and Li crystallography.

Protein detection typically requires bulky equipment and large sample volumes. Here, the authors develop a do-it-yourself plasmonic array that enables high-throughput immunoassays from minute volumes using only a pipette, showcasing their approach through longitudinal animal studies and pediatric diagnostics.

Reconstructing transcription–translation-coupled DNA replication (TTcDR) in artificial systems is crucial for creating synthetic life. Here the authors develop LoopReX, a TTcDR which leverages minimal machinery and artificial nucleoids to support multiple biological functions.

Primary vitreoretinal lymphoma (PVRL) is a rare and aggressive intraocular malignancy that is frequently misdiagnosed. Here, the authors conduct a multicentre case‒control study to develop a machine learning–based screening model for PVRL diagnosis from complete blood count data, with validation in large-scale clinical cohorts.

Here the authors introduce the concept of adiabatic infimum in the topological pumping process using lithium niobate-on-insulator waveguides, exceeding the limitations of conventional pumps. These results will facilitate the design of compact topological devices.

Long-term stability is a key challenge for ruthenium-based oxygen evolution reaction (OER) catalysts. Here, the authors present a RuO2/LiCoO2 catalyst with dynamic Li dissolution, which weakens the covalency of the Ru-O bond to prevent the lattice oxygen mechanism, thereby ensuring stable acidic OER.

This research developed a spatially confined Cu/AgBr/TiO₂ photocatalyst that enables light-driven conversion of CO₂ and H₂O into C₂H₄ and H₂O₂ by stabilizing *OH intermediates and promoting C-C coupling.

Earth-abundant cobalt-based catalysts have shown promise to replace iridium as anode catalysts in proton-exchange-membrane water electrolysers, but unfortunately they exhibit high degradation rates. Now, a lanthanum and calcium co-modification of Co₃O₄ is presented, in which lanthanum tunes the water–surface interactions to suppress cobalt dissolution and improve stability, while calcium leaching creates coordinatively unsaturated cobalt sites, leading to enhanced activity.

Cells decode temporal patterns into gene expression states through amplitude and frequency modulation. Now it is shown that frequency modulation increases information entropy compared with amplitude modulation alone.

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.

To overcome inefficient recycling of carbon fibre waste, the authors develop a rapid, commercially attractive solid-flames upcycling technique that converts waste fibres into graphene-grafted carbon fibres and graphene powders.

Huanming Yang, Zhiming Cai, Jun Wang and colleagues report whole-exome sequencing of 10 clear cell renal cell carcinomas followed by a screen of ~1,100 genes in a total of 98 tumors. They found 12 new disease-associated genes and detected frequent alterations in the ubiquitin-mediated proteolysis pathway.

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.

Genomic analyses of 2,191 global common wheat accessions and over 47,000 yellow rust (YR) response data points across several environments and pathogen races provide a genome-wide landscape of YR resistance genes and effective alleles.

This study reports graphene–amorphous carbon with interwoven networks, achieving a flexural strength of 203 MPa. Microscopy shows that crack deflection at graphene/amorphous interfaces underlies its superior performance.

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.

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.

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.

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.

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.

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.

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.

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.

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

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.

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.

Designing carbon-defect engineering is significant for boosting the catalytic performance of metal single-atom sites catalysts. Herein, the authors report a self-carbon-thermal-reduction strategy for carbon defect engineering to boost the Fenton-like activity of single Fe-N₄ sites.

The increase in detoxification gene expression is a common transcriptome marker for longevity interventions. Here, the authors show that nomilin extends lifespan and healthspan in animals through activation of PXR regulated detoxification functions.

Here, the authors solve structures of human DHHC9 with accessory protein GCP16 and their yeast counterpart Erf2–Erf4. The work provides insights into regulation of Ras proteins by palmitoylation, showing that accessory proteins are not involved in catalysis.

Artificial intelligence-based detection of gastric cancer at different stages from noncontrast computed tomography is suggested to be feasible in a retrospective analysis of large and diverse cohorts, including real-world populations in opportunistic and targeted screening scenarios.

China maintained a ‘zero-COVID’ policy from early in the pandemic until late 2022 that employed various public health interventions with the aim of COVID-19 containment. Here, the authors use data from 131 outbreaks in China to estimate the effects of a range of interventions against different SARS-CoV-2 variants in diverse settings.

TMEM16F is a Ca²⁺ activated ion channel and lipid scramblase involved in cell fusion. Here authors determine cryo-EM structures of TMEM16F with or without bound blockers, such as the FDA-approved drug niclosamide.

Designing and enhancing the performance of metal single-atom nanozymes (SAzymes) through atom-pair engineering is important yet difficult. Here the authors develop the atom-pair engineering of Zn-SA/CNCl SAzyme by concurrently creating Zn-N₄ sites as catalytic sites and Zn-N₄Cl₁ sites as catalytic regulators.

Ovarian metastases of gastric cancer are more likely to occur in young premenopausal women. Here authors show that estrogen regulates ovarian fibroblasts to promote ovarian metastasis of gastric tumors.

Non-pharmaceutical interventions (NPIs) implemented to interrupt COVID-19 transmission may also impact the spread of other infectious diseases. Here, the authors estimate that influenza activity in China and the United States reduced by up to 80% when NPIs were in place in the 2019–2020 season.