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This research identifies two neural factors linked to externalizing and internalizing symptoms through a longitudinal imaging-genetic cohort. Distinct neural configurations and cognitive-behavioral relevance highlight the need for tailored therapeutic strategies addressing psychiatric comorbidity across developmental stages.

Identifying jets originating from heavy quarks plays a fundamental role in hadronic collider experiments. In this work, the ATLAS Collaboration describes and tests a transformer-based neural network architecture for jet flavour tagging based on low-level input and physics-inspired constraints.

Humanity’s Last Exam, a multi-modal benchmark at the frontier of human knowledge, is designed to be an expert-level closed-ended academic benchmark with broad subject coverage.

Delivering functional proteins or protein complexes into cells continues to be a significant challenge. Here, the authors develop efficient systems by using engineered extracellular vesicles to deliver functional cargoes, including CRISPR/Cas9-ribonucleoproteins, both in vitro and in vivo.

Estimates from the Global Burden of Disease study reveal declines in chronic respiratory disease mortality between 1990 and 2023—especially during the COVID-19 pandemic—but the burdens on people affected remain substantial.

The authors report long-lived pump-induced conductivity suppression in metallic Ti₃C₂ MXenes using ultrafast terahertz and reflectance spectroscopy. The effect is attributed to strong photothermal heating and slow heat dissipation.

This study applies generalized linear mixed models (GLMM) and advanced transcriptome wide association study (TWAS) methods to improve the discovery of colorectal cancer risk transcription factors and genes, including potential druggable targets.

ATP release through large-pore channels is essential for cell communication. Here, the authors reveal how structural flexibility in the PANX1 pore enables selective passage of molecules like ATP and identify mefloquine as a positive modulator acting through a newly identified binding site.

TRPM5 activation requires Ca²⁺ binding at an S1–S4 pocket in the transmembrane domain (TMD) and a modulatory site in the intracellular domain (ICD). Structural and functional analyses of TRPM5 with Ca²⁺, the agonist CBTA and the inhibitor triphenylphosphine oxide—all engaging the S1–S4 pocket—reveal how modulation of channel activity is communicated across the TMD and ICD.

Single-crystal 2D metals are stabilized at the interface between epitaxial graphene and silicon carbide, with strong internal gradients in bonding character. The confined 2D metals demonstrate compelling superconducting properties.

CRISPR-Cas9 technology holds the potential to treat a wide spectrum of genetic diseases. Here, the authors describe a modular platform for extracellular vesicle-based Cas9 delivery, using MS2-based RNA-binding domains and UV-cleavable linkers, suitable for various Cas9-based moieties.

Wastewater-based surveillance tends to focus on specific pathogens. Here, the authors mapped the wastewater virome from 62 cities worldwide to identify over 2,500 viruses, revealing city-specific virome fingerprints and showing that wastewater metagenomics enables early detection of emerging viruses.

Covalent polymers with helical conformations offer an adaptive scaffold for smart materials, but polymer-to-monomer deconstruction is inhibited by the covalent backbone. Now it has been shown that poly(disulfide)s can be folded into helices driven by side-chain hydrogen-bonding self-assembly, resulting in a synthetic helical polymer that can be fully recycled.

Surface melt is an important component of ice sheet dynamics, but for many remote regions the melt rates are mainly known from models. Here the authors present satellite observations of melt rates for Greenland and Antarctica, showing that East Antarctica has become a melting hotspot.

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.

This study presents a scalable and sustainable electro-membrane crystallization-assisted general recycling technology that efficiently recovers high-purity lithium, manganese, nickel, and cobalt from spent lithium-ion batteries.

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.

Many premalignant colorectal polyps in familial adenomatous polyposis arise polyclonally rather than from a single mutated cell, showing diverse early evolutionary trajectories that frequently occur without clonal APC or KRAS driver events.

Using synthesized experimental and observational data, Cen et al. revealed that anthropogenic nitrogen deposition has increased global forest soil CO₂ emissions by ~5%, despite considerable spatial variation in the effects of nitrogen deposition.

Using operando synchrotron X-ray imaging, the study reveals 3D morphological and chemical changes of thermochemical particles during redox cycles, uncovering degradation mechanisms and insights for improved thermal energy materials.

Aluminum has been considered a promising alloy-type negative electrode for all-solid-state batteries. Here, the authors introduce a comprehensive study of β-LiAl phase-dependent Li⁺ kinetics and microstructural evolution, leading to the demonstration of an optimized high-loading Li-Al-based cell.

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.

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.

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.

Here, the authors perform large trans-ancestry fine-mapping analyses identifying large numbers of association signals and putative target genes for colorectal cancer risk, advancing our understanding of the genetic and biological basis of this 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.

A trans-ancestry meta-analysis of GWAS of glycemic traits in up to 281,416 individuals identifies 99 novel loci, of which one quarter was found due to the multi-ancestry approach, which also improves fine-mapping of credible variant sets.

This study reconstructs global fire methane emissions from 2003 to 2020, revealing 27% higher estimates than previous models, which is likely due to undetected small fires and underestimated emission intensity from the coarse-resolution model data.

Wang, Xiao and colleagues develop and validate organ-specific proteomic aging clocks across large population cohorts in the UK, the USA and China, which show strong performance in tracking organ aging and predicting the risk of morbidity and mortality.

A genome-wide association meta-analysis study of blood lipid levels in roughly 1.6 million individuals demonstrates the gain of power attained when diverse ancestries are included to improve fine-mapping and polygenic score generation, with gains in locus discovery related to sample size.

Head motion is an artifact in structural and functional MRI signals, and some traits or groups are more strongly correlated with motion than others. Here the authors describe a method to attribute a motion impact score to specific trait-functional connectivity relationships.

A region on chromosome 19p13 is associated with the risk of developing ovarian and breast cancer. Here, the authors genotyped SNPs in this region in thousands of breast and ovarian cancer patients and identified SNPs associated with three genes, which were analysed with functional studies.

Genome-wide association analyses identify new risk loci for heart failure and its subtypes, extending understanding of the underlying biological pathways and disease mechanisms.

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.

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.

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.

A large genome-wide association study of more than 5 million individuals reveals that 12,111 single-nucleotide polymorphisms account for nearly all the heritability of height attributable to common genetic variants.