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A complementary analysis of DESI DR2 distance measurements along with supernova and CMB data shows consistent, moderate evidence that dark energy changes over time rather than behaving as a simple cosmological constant.

In this Stage 2 Registered Report, Buchanan et al. show evidence confirming the phenomenon of semantic priming across speakers of 19 diverse languages.

DrugGPT outperforms existing LLMs to answer questions related to drug interactions and recommendations.

Analysis combining multiple global tree databases reveals that whether a location is invaded by non-native tree species depends on anthropogenic factors, but the severity of the invasion depends on the native species diversity.

Over 20 species of geographically and phylogenetically diverse bird species produce convergent whining vocalizations towards their respective brood parasites. Model presentation and playback experiments across multiple continents suggest that these learned calls provoke an innate response even among allopatric species.

By carefully dispersing small amounts of Ir into the RuO₂ lattice, a Ru₆IrOₓ catalyst reduces Ir usage by 80% while still running stably for over 1,500 h at 2 A cm⁻² in both laboratory- and industrial-scale proton-exchange membrane water electrolysers.

The authors use atomistic calculations with machine-learned interatomic potentials to show that dislocation motion in metals like iron and tungsten involves a nearly constant activation entropy, challenging prior models and improving strength predictions.

Polygenic risk scores can help identify individuals at higher risk of type 2 diabetes. Here, the authors characterise a multi-ancestry score across nearly 900,000 people, showing that its predictive value depends on demographic and clinical context and extends to related traits and complications.

The Macaque Biobank initiated by Zhang et al. provides a comprehensive genetic and phenotypic characterization of Chinese rhesus macaques (CRMs). This resource enhances our understanding of the genetic diversity of CRMs and holds potential for biomedical research.

Polygenic scores for body mass index and obesity constructed using data from 5 million people with different ancestries were associated with distinct weight gain trajectories from early childhood to adulthood.

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.

Cellular senescence is an underlying mechanism of aging. Among older Americans, higher expression of genes linked to cellular senescence is seen in women and those with class II obesity, and is associated with worse health outcomes.

African ancestry is a known risk factor for prostate cancer development, but the genetic determinants of this are incompletely understood. Here, the authors identify 172 potentially pathogenic variants which are enriched in an African population.

Here the authors use a range of approaches to examine the interplay between genetic variants linked to risk for polygenic skin diseases and transcription factors (TFs) important for skin homeostasis. The findings implicate dysregulated binding of specific TF families in risk for diverse skin diseases.

Species’ traits and environmental conditions determine the abundance of tree species across the globe. Here, the authors find that dominant tree species are taller and have softer wood compared to rare species and that these trait differences are more strongly associated with temperature than water availability.

Al-Hilal, Chrysovergi et al. identify a role for durotaxis in lung fibrosis and metastatic pancreatic cancer, mediated by the FAK–paxillin mechanosensor complex, and demonstrate therapeutic targeting of this pathway using the small molecule JP-153.

The cortex fuels essential physiological processes with glucose-derived carbon, while gliomas fuel their aggressiveness by rerouting glucose carbon pathways and scavenging alternative carbon sources such as environmental amino acids, providing a potential therapeutic target.

The authors demonstrate strain-induced morphotropic phase boundary-like nanodomains in lead-free NaNbO₃ thin films, enabling multi-state switching and large enhancements in dielectric susceptibility and tunability over a broad frequency range.

Cover cropping has been used in climate-smart agriculture due to benefits such as reductions in greenhouse gas emissions, but it can also have negative effects, such as decreased yields. Here the authors assess the various effects of cover crop adoption in the USA using data from over 100,000 fields.

Machine-learning-augmented single-nucleus transcriptomic analysis compared molecular landscapes of immature neurons in the mammalian hippocampus across species, highlighting human-specific gene expression but convergent biological processes.

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.

Solid oxide cells for interconversion of hydrogen and electricity typically have planar designs with low performance per unit mass and volume. Zhou et al. fabricate solid oxide cells with 3D architectures, improving space utilization and mass-normalized performance.

The quark structure of the f₀(980) hadron is still unknown after 50 years of its discovery. Here, the CMS Collaboration reports a measurement of the elliptic flow of the f₀(980) state in proton-lead collisions at a nucleon-nucleon centre-of-mass energy of 8.16 TeV, providing strong evidence that the state is an ordinary meson.

Analyses of consummatory reproductive behaviours in male mice uncover a brain mechanism whereby an internal state can attribute a social quality to a generic touch to initiate purposeful reproductive actions.

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

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.

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.

MultiSTAAR provides a general and flexible statistical framework for functionally informed multi-trait rare variant analysis of biobank-scale sequencing studies by jointly analyzing multiple traits and incorporating annotation information.

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 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.

“Dissolved oxygen (DO) sustains river ecosystems, but the effects of hydrological extremes remain poorly understood. Here it is shown that sudden floods cause abrupt declines in DO, suggesting that increased future flooding may lead to the degradation of aquatic ecosystems.

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.

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.

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.

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.

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 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.

Alfajaro et al identify that a bat MERS-like coronavirus HKU5 uses ACE2 as a receptor from its natural bat reservoir Pipistrellus abramus and American mink. Structural analyses demonstrate a unique interaction between the HKU5 receptor binding domain and bat ACE2. This highlights the receptor flexibility of merbecoviruses and identifies mink as potential intermediate hosts, informing viral surveillance and countermeasure development.

Genome-wide analyses identify 30 independent loci associated with obsessive–compulsive disorder, highlighting genetic overlap with other psychiatric disorders and implicating putative effector genes and cell types contributing to its etiology.

Depletion of a transcriptional factor ZBTB11 using molecular glue degraders can overcome oxidative-phosphorylation-mediated KRAS inhibitor resistance in pancreatic ductal adenocarcinoma with low acute neurotoxicity.

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.

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.

Shared inter-brain neural dynamics, reflecting aspects of social interaction including self and other’s behaviours, arise in GABAergic neurons of the dorsomedial prefrontal cortex of socially interacting mice, as well as in the neurons of socially interacting artificial intelligence agents.

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.