Search

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.

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.

Here the authors report single-cell and spatial transcriptomics of young and aged male fibrotic mouse lungs. Age-related alterations in capillary sub-populations are associated with a proangiogenic phenotype linked to regeneration of the alveolar niche.

The authors combine tracking and body mass data from five migratory waterfowl species to understand their capacity to accelerate migration in response to earlier spring. They show considerable scope for faster migration by reducing the fuelling time before departure and subsequently on stopovers

Zangari et al. show that d-cysteine targets NFS1, thus affecting Fe–S cluster biogenesis and impairing tumour growth.

External Control Arm methods for clinical trials were developed to compare the efficacy of a treatment to a control group that is built with data from external sources. Here, the authors present FedECA, a privacy-enhancing method for analyzing treatment effects across institutions, streamlining multi-centric trial design and thereby accelerating drug development while minimizing patient data exposure.

It is unclear whether the linkage between tree species richness and insect herbivory is consistent across climates and forest types. Here, the authors analyse data from forest biodiversity experiments to show a generally positive tree growth–insect herbivory relationship that is modulated by leaf traits.

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.

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.

The advantage of living in cities compared with rural areas with respect to height and BMI in children and adolescents has generally become smaller globally from 1990 to 2020, except in sub-Saharan Africa.

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.

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 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.

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.

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.

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.

Two types of on-chip silicon device utilizing silicon T centres are developed: an O-band light-emitting diode and an electrically triggered single-photon source. Further, a new method of spin initialization with electrical excitation is demonstrated.

Decisions are typically associated with a sense of confidence and can be followed by an impulse to change our minds. Here, the authors use intracranial recordings in humans to show that confidence and changes of mind derive from a cortical process called evidence accumulation.

Fine-mapping of causal variants and integration of epigenetic and chromatin conformation data identify likely target genes for 150 breast cancer risk regions.

Comparison of paired primary and recurrent glioblastomas at the single-cell transcriptomic level describes molecular and cellular trajectories associated with tumor recurrence, highlighting extensive heterogeneity and microenvironmental co-evolution.

Integrated single-cell transcriptomic and genetic characterization of 121 adult glioblastomas identifies heterogeneity at cell type, cell state and baseline expression program levels associated with specific mutations that form three stereotypical ecosystems.

Li et al. introduced tract-geometry coupling (TGC) to quantify the coupling between white matter tracts and cortical geometry in the human brain, shedding light on how the brain’s wiring and shape evolve together and its support for behavior and growth.

Multisystem inflammatory syndrome following SARS-CoV-2 infection results from increased serum levels of TGFβ, which impairs the reactivation of virus-specific T cells.

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.

Ecosystems filter environmental variability through internal regulatory mechanisms, resulting in more predictable carbon fluxes than the weather conditions they experience. Here, the authors find that more productive ecosystems exhibit higher temporal complexity in their carbon cycling. This short-term complexity appears to be increasing over time, potentially indicating greater ecosystem responsiveness to environmental stimuli.

Analysis of soundscape data from 139 globally distributed sites reveals that sounds of biological origin exhibit predictable rhythms depending on location and season, whereas sounds of anthropogenic origin are less predictable. Comparisons between paired urban–rural sites show that urban green spaces are noisier and dominated by sounds of technological origin.

Whole-genome sequences and field experiments focusing on the global invasive forage crop, Trifolium repens, show high levels of genetic variation across continents and parallel signatures of selection in five haploblocks.

Highly pathogenic avian influenza H5N1 virus has recently caused outbreaks in dairy cattle herds in the United States. Here, the authors describe the clinical features and associated economic impacts of an outbreak at a farm in Ohio between March and April 2024.

This systematic review and meta-analysis of 53 randomized controlled trials finds that educational interventions can help students reduce cognitive biases, with a small but statistically significant overall effect.

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.

Viral vector integration can affect the safety of gene and cell therapies. Here, authors introduce MELISSA, a regression-based statistical tool that quantifies integration site risks and clone growth effects, aiding the safety evaluation of therapies in both research and clinical settings.

An understanding of the molecular mechanisms promoting the generation of immunoregulatory and tumour-promoting monocytes and macrophages is key to breaking the cycle of tumour myelopoiesis and developing more effective myeloid-targeting therapies.

A working group of Academia Europaea proposes the addition of a ‘ring diagram’ in clinical publications for the quick evaluation of translational implications.

Epidemiological models are commonly fit to case and pathogen sequence data to estimate parameters and to reconstruct disease dynamics. Here, the authors present an inference approach based on sequence data that is well suited for model fitting early on during the expansion of a viral lineage.

Ossenkoppele, Coomans and colleagues analyzed the tau PET data of 12,048 individuals from 42 cohorts worldwide. They found that age, amyloid-β status, presence of an APOE ε4 allele and female sex are key contributors to tau PET positivity, which should aid clinical decision-making and trial designs.