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Advances have been made in thin-film piezoelectrics; however, the linearity of electric-field-induced strain with frequency and temperature still requires improvement. Here, by growing interlocked monoclinic and tetragonal polar nanoregions in (K,Na)NbO₃ thin films, highly linear strains of up to 1.1% are reported at frequencies up to 10⁵ Hz.

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.

Lianas are an important component of tropical forests. Here the authors compare liana and tree functional trait distributions from across the tropics and use a liana-tree competition model to show that a key hydraulic trait influences liana viability and its response to future climate conditions.

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.

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.

Pathology-oriented multiplexing (PathoPlex) represents a framework for widespread access to multiplexed imaging and computational image analysis of clinical specimens at a relatively high throughput and subcellular resolution.

SARS-CoV-2 rebound is a recurrence of symptoms or return to test positivity after initial recovery. Here, the authors demonstrate an association between SARS-CoV-2 rebound and post-acute COVID conditions using data from Hong Kong.

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.

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.

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.

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

This study used AI to map ~29,000 CDR studies—3–4 times more than expected—showing rapid but uneven growth. The map supports stronger evidence synthesis for climate goals and the IPCC. #CDR

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.

Dissecting cellular intrinsic properties and spatial interactions is crucial for understanding biological processes. Here, authors develop a theoretically grounded deep learning framework SIMVI, that disentangles the two factors from spatial omics 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.

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.

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.

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.

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.

Introduction of structured neutron waves carrying orbital angular momentum (OAM) in small-angle neutron scattering experiments provides novel approaches to the characterisation of material properties. Here the authors demonstrate the retrieval of phase information in far-field intensity profiles by means of an interferometric technique using helical neutron waves.

Photometric recordings and optogenetic manipulation show that dopamine fluctuations in the dorsolateral striatum in mice modulate the use, sequencing and vigour of behavioural modules during spontaneous behaviour.

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.

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.

A benchmarking competition improves tools that predict how regulatory regions control gene expression.

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.

Magic state distillation is achieved with logical qubits on a neutral-atom quantum computer using a dynamically reconfigurable architecture for parallel quantum operations.

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.

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.

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.

Marine bivalves are important components of ecosystems and are exploited for food across the world. This study expands the list of marine bivalves known to be exploited worldwide and then uses a trait-based approach to identify intrinsically vulnerable species and to pinpoint regions with high levels of extinction-prone exploited species, helping to prioritize areas for conservation effort.

Engineering stabilized proteins is essential for industrial and pharmaceutical biotechnologies. Here, authors present Stability Oracle, a Graph-Transformer framework trained on protein masked microenvironments to predict protein thermodynamic stability, using less training data while achieving improved generalization.

A comprehensive analysis of the cell-specific molecular regulatory mechanisms underlying post-traumatic stress disorder in the human prefrontal cortex.

Limited by challenges in light-atom imaging, microscopic investigations of ferroelectricity have used cation–cation displacements as a proxy for the true cation–anion distortions. Using electron ptychography, oxygen anions can be tracked to observe an otherwise-hidden ferroelectric mechanism in thin-film NaNbO₃, which would have appeared antiferroelectric from cations alone.

Testing ecophysiological theory using tree traits along a vapour pressure deficit (VPD) gradient shows, as predicted, that photosynthetic capacity is higher at higher VPD sites. Contrary to the predictions, potential water conductivity tends to increase with higher VPD.

Glioblastoma (GBM) is rich in tumor-associated vasculature and it remains to be understood how GBM is supported by vascular endothelial cells. Here, the authors identify that endothelial-secreted proteoglycan endocan acts as a ligand of PDGFR alpha receptor to promote GBM progression and induce therapy resistance.