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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.

Urinary albumin-to-creatinine ratio (UCAR) is associated with various clinical outcomes such as kidney disease and cardiovascular disease. Here, the authors report genome-wide meta-analysis in over 500,000 individuals and find 68 UACR loci, followed by statistical fine-mapping, gene prioritization and experimental validation in flies.

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.

This study uncovers how light polarization governs ultrafast charge transfer between gold and gallium nitride (GaN), revealing a low-loss, nonthermal electron pathway that could advance solar energy conversion and optoelectronic technologies.

Solar photovoltaics is entering a multi-terawatt era, driven by decades of cost, performance and reliability gains. In this Perspective Alberi et al. discuss the role of historical and future learning, highlighting the increasing importance of sustainability considerations.

Despite new treatment options, prognosis for patients with glioblastoma (GBM) remains poor. Here the authors report the clinical course of patients with GBM treated with a personalized neoantigen-derived peptide vaccine treated within the scope of an individual healing attempt.

Trans-ancestry meta-analysis of estimated glomerular filtration rate (eGFR) from 1,046,070 individuals identifies 264 associated loci, providing a resource of molecular targets for translational research of chronic kidney disease.

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.

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 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.

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.

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.

Karsten Suhre and colleagues report a genome-wide association study of metabolic traits in human urine, using NMR spectrometry to measure 59 metabolites in urine from participants. They identify five loci influencing urine metabolite levels and point to a missense variant in AGXT2 as the likely cause of hyper-β-aminoisobutyric aciduria, a common inborn error of metabolism.

Early detection of coronary artery disease is crucial to mitigate cardiac complications. Here, the authors show how machine learning can enhance risk stratification, and potentially reduce unwarranted invasive testing by integrating widely accessible clinical data and stress test ECG signals.

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.

CD123 expression on leukemic stem and progenitor cells (LSPCs) and leukemic blasts representing a promising therapeutic target. However previous CD123-targeting approaches had limited efficacy and safety concerns. The authors here evaluate the bispecific CD123/CD16A innate cell engager AFM28 and manifest its efficacy both in vitro and in vivo, which is mediated by NK cells.

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 authors present an approach to simultaneously map local magnetization, strain, atomic structure at nanoscale. It provides direct visualization of strainmagnetic coupling in ferromagnetic materials, opening avenues for studying nanomagnetism.

A large-scale multi-omics analysis reports oncogenic alterations that drive medulloblastoma progression, rather than initiation, and the findings show how single-cell technologies can be used for early detection and diagnosis of medulloblastoma.

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.

Missing modality challenges longitudinal omics studies. Here, the authors introduce LEOPARD, a pioneering neural network that uses style transfer to re-entangle omics data, enabling robust imputation and unlocking fresh insights into predictive healthcare and biological temporal dynamics.

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.

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.

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.

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.

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.

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.

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.

Nicole Soranzo, Tim Spector, Gabi Kastenmüller and colleagues report a large-scale analysis of genetic variants influencing human blood metabolite levels. They identify genome-wide significant associations at 145 loci, providing a framework for exploring relationships between genetic variation, metabolism and complex disease.

Phytochrome photoreceptors are master regulators of plant development. This paper describes 3D structures of soybean phytochrome A in both Pr (inactive) and Pfr (signalling) states, revealing changes that might transmit the light signal to the cell.

A trans-ancestry genome-wide association study of serum urate levels identifies 183 loci influencing this trait. Enrichment analyses, fine-mapping and colocalization with gene expression in 47 tissues implicate the kidney and liver as key target organs and prioritize potential causal genes.

The selective hydrogenation of trace acetylene to ethylene is a well-established process for purifying fossil-derived ethylene streams. Here, the authors present a self-repairing Pd-C laterally condensed catalyst that improves selectivity, prevents sub-surface hydride formation, and achieves high ethylene productivity, effectively bridging the gap between powder catalysts and single-crystal model catalysts.

The ketone body β-hydroxybutyrate can be used as an alternative carbon source by T cells to maintain their function during severe respiratory viral infections, including infection with SARS-CoV-2.

Deep learning is currently transforming digital pathology, helping to make more reliable and faster clinical diagnoses. A promising application is in the recognition of malignant white blood cells—an essential step for detecting acute myeloid leukaemia that is challenging even for trained human examiners. An annotated image dataset of over 18,000 white blood cells is compiled and used to train a convolutional neural network for leukocyte classification. The network classifies the most important cell types with high accuracy and can answer clinically relevant binary questions with human-level performance.

Individual genetic variation can affect the levels of protein in blood, but detailed data sets linking these two types of data are rare. Here, the authors carry out a genome-wide association study of levels of over a thousand different proteins, and describe many new SNP-protein interactions.

Gluten-free diets are increasingly common in the general population. Here, the authors report the results of a randomised cross-over trial involving middle-aged, healthy Danish adults, showing evidence that a low-gluten diet leads to gut microbiome changes, possibly due to variations in dietary fibres.

Type three secretion systems consist of a multisubunit protein complex that crosses the bacterial membranes and an extracellular needle-shaped structure. New data show that the needle protomer partially refolds from alpha-helix into beta-strand conformation to extend the needle from the distal end. The closely related flagellar system also grows at the tip, but it is not known whether protomer refolding is required for its assembly.

Disease-associated mutations in the protein TECPR2 have so far been mainly studied with respect to autophagy. Using complementary proteomics approaches, the authors identify trafficking and sorting defects along the secretory pathway upon TECPR2 deficiency and provide evidence that TECPR2 associates with the ER-Golgi interface.

A machine-learning algorithm based on an array of demographic, physiological and clinical information is able to predict, hours in advance, circulatory failure of patients in the intensive-care unit.

The t(8;21) translocation is often found in acute myeloid leukaemia but is not sufficient for development of the disease. In this study, the authors identify frequent mutations in the transcriptional repressor, ZBTB7A, in these patients and show that the mutations reduce DNA binding activity.

Metabolic processes may be different in immune cells between neonates and adults. Here the authors measure metabolic changes in human monocytes from different aged donors and find enhanced oxidative phosphorylation fueling myeloid differentiation in neonates which contrasts glycolytic responses in early childhood and more effective inflammatory response.