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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.

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.

A connectome of the right optic lobe from a male fruitfly is presented together with an extensive collection of genetic drivers matched to a comprehensive neuron-type catalogue.

Comparative Physicochemical Profiling (CPP), an interpretable machine learning algorithm, identifies physicochemical signatures of γ-secretase substrates, capturing features hidden in sequences and enabling proteome-wide prediction of substrate recognition.

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.

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.

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.

Natural products have historically made a major contribution to pharmacotherapy, but also present challenges for drug discovery, such as technical barriers to screening, isolation, characterization and optimization. This Review discusses recent technological developments — including improved analytical tools, genome mining and engineering strategies, and microbial culturing advances — that are enabling a revitalization of natural product-based drug discovery.

Liver neuroendocrine neoplasms (NEN) without clinically known primary tumor are often classified as primary hepatic NEN. Here, the authors build a classifier accurately predicting the origin sites for NEN based on DNA methylation patterns and show that hepatic NEN with unknown primary tumor are predicted to display a non-hepatic origin.

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.

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.

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.

How to effectively communicate climate change to the public has long been studied and debated. Through a registered report megastudy, researchers tested the ten most-cited climate change messaging strategies published, finding that many had significant, but small, effects on climate change attitudes.

The authors present μeV electron spectromicroscopy, a technique that combines free-space light and electron beams to achieve unmatched spatial and spectral resolution. This approach enables detailed investigation of photonic structures, promising advancements in microscopy and quantum optics.

Current widely used viral and electroporation methods for creating therapeutic cell-based products are complex and expensive. Here, the authors develop targeted mRNA nanocarriers that can transiently program gene expression by simply mixing them with cells, to improve their therapeutic potential.

Massively parallel reporter assay in primary human CD4⁺ T cells and bulk and single-cell CRISPR-interference screens identify candidate causal variants linked to autoimmune disease risk that modulate T cell gene expression and proliferation.

There are currently no licensed vaccines to prevent Group A Streptococcus (GAS) infections. In this study, the authors evaluate the immune response and preclinical efficacy of a multicomponent mRNA lipid-nanoparticle vaccine against GAS.

Olfactory deficits occur early in Alzheimer’s disease (AD). Here, the authors identify that loss of locus coeruleus axons in the olfactory bulb underlies impaired olfaction in an AD mouse model and provide translational evidence for similar deficits in humans.

Here, the authors sample air and surfaces in hospital rooms of COVID-19 patients, detect SARS-CoV-2 RNA in air samples of two of three tested airborne infection isolation rooms, and find surface contamination in 66.7% of tested rooms during the first week of illness and 20% beyond the first week of illness.

This genomic study of magnetic resonance imaging-based brain age in 56,348 people identifies 59 genetic loci, links brain aging to mental and physical health, and suggests high blood pressure and type 2 diabetes as causal factors of brain aging.

The role of glutamate-driven inhibition in neural computations and animal behavior is not fully understood. This study reveals that group III metabotropic glutamate receptors (mGluRs) mediate inhibition in the habenula, shaping sensory processing and defensive behaviors, highlighting a key role for glutamate-driven inhibition in the brain.

Conducting atom-optical experiments in space is interesting for fundamental physics and challenging due to different environment compared to ground. Here the authors report matter-wave interferometry in space using atomic BECs in a sounding rocket.

Using single-cell and spatial transcriptomics on muscle samples from non-ischemic patients and patients with peripheral artery disease (PAD), Turiel et al. identify cellular and molecular changes in the muscle microenvironment during PAD, focusing on endothelial cell–macrophage interactions.

F_oF₁-ATP synthase converts proton motive force into ATP, with the H⁺/ATP ratio typically ranging from 2.7 to 5. Here, the authors engineered this enzyme to form multiple peripheral stalks, achieving an H⁺/ATP ratio of 5.8—the highest yet reported.

The impact of locally-sourced aerosols on the Urban Heat Island (UHI) effect has been difficult to quantify due to opposing long and shortwave radiation effects. Here, using satellite observations and climate model simulations, the authors reveal that urban haze pollution intensifies the nighttime UHI in China.

Extensive oxidative potential measurements from across Europe analysed with the two most common assays, dithiothreitol and ascorbic acid, using a standardized protocol show the strong influence of site type and suggest pathways for mitigation strategies.

Here, the authors explore the blue photoluminescence signal arising from the interface between graphene and h-BN arranged in in-plane heterostructures, and fabricate a blue light emitting device utilizing the heterojunction as the emitting layer.

Ferrimagnets possess multiple spin sub-lattices resulting in a complex magnon band structure and subtle spin transport across interfaces. Here, the authors show how the spin Seebeck effect, the thermal generation of pure spin current, may be an effective tool to study these magnetic excitations.

A genome-wide association study including over 76,000 individuals with schizophrenia and over 243,000 control individuals identifies common variant associations at 287 genomic loci, and further fine-mapping analyses highlight the importance of genes involved in synaptic processes.

This flagship study from the European Solve-Rare Diseases Consortium presents a diagnostic framework including bioinformatic analysis of clinical, pedigree and genomic data coupled with expert panel review, leading to 500 new diagnoses in a cohort of 6,000 families with suspected rare diseases.

Aluminium alloys can naturally age and form microstructural clusters that affect their mechanical properties. Here, the authors show that nanosized samples do not under undergo natural aging because diffusion-controlled clustering processes are inhibited.

This study finds that vegetation greening is expected to exacerbate compound soil drought-heat extreme events, as enhanced transpiration during the early growing season depletes soil moisture leading to deficits in the subsequent warm season.

The number of individuals in a given space influences animal interactions and network dynamics. Here the authors identify general rules underlying density dependence in animal networks and reveal some fundamental differences between spatial and social dynamics.

Gonzalez-Gallego et al. developed a fully iPS-cell-based human three-dimensional blood–brain barrier (BBB) model and used it to study roles of the stroke risk gene FOXF2 in BBB dysregulation, demonstrating its applicability for mechanistic research and drug development.

The hypothesis that species are most abundant at the centre of their geographic range has been widely debated. Here, by analysing over 3,600 species, the authors find that this pattern is generally not true for animals but does occur in some plant groups, being influenced by dispersal traits and evolution.

This work introduces roll-to-roll fluidics, a method that enhances reagent efficiency and reduces turnaround time, enabling rapid and economical next-generation sequencing.

Living plant collections hold an immense wealth of plant diversity and have critical educational, scientific and conservation roles. This Perspective examines current data management practices of living collections and advocates for higher data standards and a robust and inclusive global data ecosystem.

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.

A Middle Triassic diapsid is presented that has a distinctive crest consisting of integumentary appendages that are structurally distinct from avemetatarsalian feathers.