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Hybrid neural networks often underperform compared to conventional neural networks because of their low array utilization. Lu et al. propose a programmable spiking architecture that leverages photonic reconfigurable devices to integrate synaptic and neuronal functions without compromising performance.

The CMS experiment at CERN reports one of the highest-precision measurements of the W boson mass, finding it in line with standard model predictions and at odds with recent anomalous measurements.

Global Burden of Disease analysis found that in 2023, suboptimal diet was estimated to be responsible for 4 million deaths and 97 million morbidity burdens from ischemic heart disease.

Melanocytic nevi are small, pigmented benign skin tumours. This large-scale genome-wide association study for nevus count identifies novel genomic regions, highlighting pathways beyond pigmentation and offers new insights into melanoma risk and biology.

Links between type 1 diabetes and neurocognitive traits remain unclear. Here, the authors integrate genetic and single‑cell epigenomic data to show brain‑cell, especially microglial, involvement and identify shared genetic mechanisms connecting diabetes with cognition and neuropsychiatric risk.

DNA damage burden and inadequate repair in CUX2⁺ cortical layer 2/3 excitatory neurons contributes to selective vulnerability in neuroinflammatory injury.

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.

A global analysis of 1,412 studies shows that one in five women and one in six men experienced sexual violence as children, highlighting the urgent need for evidence-based prevention and intervention programmes worldwide.

PerturbFate is a high-throughput, cost-effective, single-cell platform that systematically profiles CRISPR interference perturbations to reveal common regulatory nodes and convergent phenotypic states across diverse genetic alterations linked to vemurafenib resistance in melanoma cells.

The transcription factor ATF4 is shown to regulate double-stranded DNA repair within vulnerable CUX2⁺ upper-layer 2/3 cortical neurons, enabling their survival during development.

The APOE-ε4 allele is the strongest genetic risk factor for late-onset Alzheimer’s disease, but it is not deterministic. Here, the authors show that common genetic variation changes how APOE-ε4 influences cognition.

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

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.

Singi et al. use a multiple instance learning AI system to analyze liquid tissue and blood Samples. Their system outperforms existing models on hematological tasks.

Polymer thin films that emit and absorb circularly polarised light are promising in achieving important technological advances, but the origin of the large chiroptical effects in such films has remained elusive. Here the authors demonstrate that in non-aligned polymer thin films, large chiroptical effects are caused by magneto-electric coupling, not structural chirality as previously assumed.

The iNKT cell-targeted microparticle recruitment and activation system (iMRAS) is a biomimetic platform that serves to locally recruit, activate and expand CAR-iNKT cells in vivo to enhance CAR-iNKT functionality for improved cancer immunotherapy.

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.

Fabrication of single liquid-metal fibers is challenged by their limited surface area, thus restricting its functional deployment in soft electronic systems. Here, the authors develop a scalable, solution-deposition strategy for stretchable, multifunctional 1D liquid-metal-based bioelectronic fibers.

The herpes simplex virus lytic-latent balance is incompletely understood. In this study, the authors show that it is controlled by the relative abundance of host activating and repressive forkhead box (FOX) transcription factors that recruit epigenetic cofactors to the viral genome to remodel viral chromatin.

An analysis of the responses of 15 diverse human gut bacteria in more than 100 pairwise co-cultures reveals extensive remodelling of the bacterial proteome and metabolome in response to the presence of other species.

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 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.

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.

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.

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.

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 susceptibility of mouse and human T cells to ferroptosis is determined by the balance of systemic polyunsaturated and monounsaturated fatty acids, highlighting a key role for lipid metabolism and dietary composition in regulating T cell function.

INSTALL overcomes fundamental challenges for DNA delivery and integration methods by synergizing immune-stealth nucleic acids with recombinases to enable kilobase-scale integration strategies without viral vectors.

China’s crowded coasts must balance seafood demand with conserving migratory shorebirds that rely on tidal flats along the East Asian–Australasian Flyway. This study suggests that well-managed mariculture feeds shorebirds and limits overharvest, benefiting seafood production and biodiversity.

Cationic amino acids are essential to protein synthesis and cellular signaling. Here, authors determine the structure of the cationic amino acid transporter 1 and determined how it is co-opted as a receptor for leukemia-causing animal viruses.

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.

Ultrafast electron microscopy reveals how conductive paths in VO₂ form and dissolve under rapid electrical pulses, uncovering switching mechanisms relevant for brain-inspired and next generation electronics.

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.

Applications of optical laser-based techniques are limited by the long wavelengths of the lasers. Now, observations of phonons and thermal transport at nanometre length scales are reported with an all-hard X-ray transient-grating spectroscopy technique.

Karapetyan et al. report how multiscale electron ptychography, a computational electron microscopy technique with sub-Ångström lateral and nanometer-scale depth resolution, enables 3D imaging of buried features (distortions, defects, and roughness) in gate-all-around transistors, guiding the semiconductor fabrication.

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.

Evo 2 is an artificial intelligence-based biological foundation model trained on 9 trillion DNA base pairs spanning all domains of life that predicts functional properties from genomic sequences and provides a rich generative model for researchers in biology.

Here, as part of the Sherlock-Lung study, the authors profile the microbiomes of 940 lung cancers in never smokers finding no significant associations with demographic and clinical features, suggesting lung bacteria are unlikely to have a sizable role in lung 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.

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.

cellSTAAR advances noncoding rare variant association analysis by integrating single-cell genomics data.

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.

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.

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.

MK-7762 is a new oxazolidinone antitubercular agent that is structurally similar to linezolid, and demonstrated in vivo efficacy, lesion penetration and limited toxicity compared to linezolid, indicating it could be used in broad tuberculosis regimens.

This study introduces the Lipid Nanoparticle Database (LNPDB) and web tool that consolidates lipid nanoparticle structure-function data. LNPDB facilitates molecular dynamics and deep learning approaches to advance data-driven design for nucleic acid delivery.