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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.

Reduced placental angiogenesis is suspected to cause preeclampsia. Using placental in vitro models and an in vivo model, the authors uncover the key role of an amino acid transporter and related molecular interactions that together induce an anti-angiogenic state, as observed in preeclampsia.

A study of several longitudinal birth cohorts and cross-sectional cohorts finds only moderate overlap in genetic variants between autism that is diagnosed earlier and that diagnosed later, so they may represent aetiologically different conditions.

Encoding quantum information in qudits instead of qubits allows for several advantages, but scalable native entangling techniques would be needed. Here, the authors show how to use light-shift gates to perform entangling operations on trapped ion systems, with a calibration overhead which is independent on the qudit dimension.

A new version of nanorate DNA sequencing, with an error rate lower than five errors per billion base pairs and compatible with whole-exome and targeted capture, enables epidemiological-scale studies of somatic mutation and selection and the generation of high-resolution selection maps across coding and non-coding sites for many genes.

Graphene systems have the potential to host Wigner crystal states at zero magnetic field. Here, the authors report transport signatures consistent with Wigner crystallization in AB-stacked bilayer graphene at both zero and finite magnetic fields.

Tree cover gains in the moist tropics (1982–2015) were 56% naturally regenerated forests and 27% managed tree systems, with forest type influencing carbon recovery. Effective forest restoration requires robust tracking of forest types established by restoration efforts.

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.

Continental shelves have become a substantial sink of anthropogenic mercury since the onset of the Industrial Revolution. However, human activities and climate-related processes can remobilize mercury-bearing sediment, potentially transforming this mercury sink into a marine source.

Results from the randomized, noncomparative, phase 2 MATISSE trial show that ultra-short neoadjuvant therapy with ipilimumab and nivolumab can prevent surgery and radiotherapy in patients with resectable cutaneous squamous cell carcinoma, with an early decrease in total lesion glycolysis by [¹⁸F]FDG-PET/CT associated with response.

Available wheat genomes are annotated by projecting Chinese Spring gene models across the new assemblies. Here, the authors generate de novo gene annotations for the 9 wheat genomes, identify core and dispensable transcriptome, and reveal conservation and divergence of gene expression balance across homoeologous subgenomes.

Small cell lung cancer cells form functional synapses with glutamatergic neurons, receiving synaptic transmissions and deriving a proliferative advantage from these interactions.

An analysis of 24,202 critical cases of COVID-19 identifies potentially druggable targets in inflammatory signalling (JAK1), monocyte–macrophage activation and endothelial permeability (PDE4A), immunometabolism (SLC2A5 and AK5), and host factors required for viral entry and replication (TMPRSS2 and RAB2A).

Integrated multi-omic analyses using samples from the TRACERx study highlight cross-talk between DNA hypermethylation and genomic lesions in non-small cell lung cancer.

Pl@ntBERT is a language-based AI model that learned the ‘syntax’ of plant assemblages, predicting likely species and inferring habitats by modelling biotic relationships.

An inherently explainable AI trained on 1,015 expert-annotated prostate tissue images achieved strong Gleason pattern segmentation while providing interpretable outputs and addressing interobserver variability in pathology.

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.

In an integrated analysis of transcriptomic data from the SUBSPACE consortium and public datasets of patients with sepsis, acute respiratory distress syndrome, trauma and burns, dysregulation within four consensus molecular clusters related to myeloid and lymphoid cells is associated with mortality and illness severity.

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

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.

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.

Kidney shortages limit treatment options for patients with end-stage kidney disease, prompting exploration of xenotransplantation. Here, the authors show that a genetically modified pig kidney sustained essential functions in a living human for 51 days, informing future clinical strategies.

Chronic care manages long-term, progressive conditions, while acute care handles short-term ones. Here, authors show chronic conditions account for most of the global health burden, with 68% of DALYs and 93% of YLDs attributed to chronic care needs.

Head and neck squamous cell carcinoma (HNSCC) frequency and risk factors vary considerably across regions and ancestries. Here, the authors conduct a multi-ancestry genome-wide association study and fine mapping study of HNSCC subsites in cohorts from multiple continents, finding susceptibility and protective loci, gene-environment interactions, and gene variants related to immune response.

The neuronal architecture that develops after spinal cord injury and causes autonomic dysreflexia is uncovered.

A global network of researchers was formed to investigate the role of human genetics in SARS-CoV-2 infection and COVID-19 severity; this paper reports 13 genome-wide significant loci and potentially actionable mechanisms in response to infection.

Nuclear architecture depends on proper regulation of lamin A/C modifications. Here, the authors show that TAF4A and NF-Y control Kansl2 expression in muscle stem cells, preserving genome stability and supporting muscle regeneration.

Meta-analysis of genome-wide association studies on Alzheimer’s disease and related dementias identifies new loci and enables generation of a new genetic risk score associated with the risk of future Alzheimer’s disease and dementia.

Managing power exhaust in fusion reactors is a key challenge, especially in compact designs for cost-effective commercial energy. This study shows how alternative divertor configurations improve exhaust control, enhance stability, absorb transients and enable independent plasma regulation.

Using multi-ancestry genome-wide association study and fine-mapping, 298 loci and 36 credible genes are identified in the aetiology of bipolar disorder.

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.

Using well-calibrated statistical methods the authors jointly analyze Undiagnosed Diseases Network genomes, identifying known and novel disease genes. Software is publicly available to support future cross-cohort rare disease discovery efforts.

Surprisingly consistent replication failure of gray matter correlates of childhood maltreatment raises questions about publication bias in prior literature and about prevailing models linking maltreatment to brain structure in adult populations.

Here the authors apply machine learning approaches to Alzheimer’s genetics, confirm known associations and suggest novel risk loci. These methods demonstrate predictive power comparable to traditional approaches, while also offering potential new insights beyond standard genetic analyses.

A large brain imaging study of over 2000 people worldwide shows that fear conditioning engages brain regions linked to emotion and attention, with differences in individuals with anxiety or depression and strong influences from task design.

Robbie Waugh and colleagues report that the EARLINESS PER SE (EPS2) locus is associated with spring growth habit and environmental adaptation in barley. Resequencing the barley homolog of CENTRORADIALIS, located within the EPS2 locus, in 216 spring and 207 winter barley accessions identified haplotypes at HvCEN that correspond with winter or spring growth habit.

Embryonal tumour with multilayered rosettes (ETMR) is a rare and aggressive paediatric brain tumour. Here, the authors analyse intratumour heterogeneity and the tumour microenvironment in ETMR using single-cell and spatial transcriptomics, in vitro cultures, and a 3D forebrain organoid model, finding important aspects – such as the communication with pericytes – for ETMR development and response to therapy.

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.

HistoPlexer, a deep learning model, generates multiplexed protein expression maps from H&E images, capturing tumour–immune cell interactions. It outperforms baselines, enhances immune subtyping and survival prediction and offers a cost-effective tool for precision oncology.

The authors present a multicenter database to investigate the neural correlates of dreaming, including physiological, behavioral and experiential data. This database could boost the research on the mechanisms of dreaming in humans and the signatures of consciousness.

The authors develop and characterise a selective Greatwall inhibitor, C-604, and show that its cytotoxicity stems from PP2A-B55α hyperactivation. They identify B55α and Greatwall levels as biomarkers of responses to Greatwall-targeted therapy.