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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.

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.

Global Burden of Disease estimates show that between 1990 and 2023, the prevalence and burden of drug use disorders, inclusive of amphetamine, cannabis, cocaine and opioid use, have been increasing in high-income countries, particularly in the USA.

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.

Electrochemical CO reduction to multi-carbon products offers a carbon-negative approach to produce chemicals, but the intricate reaction pathways lead to a broad spectrum of products. Now it has been shown that alkali cations alter the mechanistic pathways that govern the reaction selectivity involved in the formation of hydrocarbons versus oxygenates.

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.

Plasma proteomic analysis of presymptomatic individuals with amyotrophic lateral sclerosis identifies novel disease-associated proteins and enables the development of an accurate diagnostic biomarker panel.

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.

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.

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.

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.

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.

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.

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

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.

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.

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.

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.

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.

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.

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 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.

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.

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.

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.

Wood density is an important plant trait. Data from 1.1 million forest inventory plots and 10,703 tree species show a latitudinal gradient in wood density, with temperature and soil moisture explaining variation at the global scale and disturbance also having a role at the local level.

The formation of 2D perovskites in inorganic perovskite solar cells is hindered by the strong binding affinity of caesium ions. Liu et al. engineer the functional groups of a large organic cation to facilitate its exchange with caesium ions and form a stable 2D perovskite.

Lewis acid additive semicarbazide hydrochloride improves the formation of α-phase FAPbI₃-based films and promotes a homogeneous vertical distribution of A-site cations through a deprotonation–reprotonation process. The upgraded device performance reaches up to 26.12% with high stability, and mini-module perovskite solar cells achieving 21.47% (area, 11.52 cm²) demonstrate great scalability.

Analysis of ground-sourced and satellite-derived models reveals a global forest carbon potential of 226 Gt outside agricultural and urban lands, with a difference of only 12% across these modelling approaches.

The formation of directional fibrous tissue bands, typical of liver fibrosis progression, might be induced by the tension of the hepatic stellate cells, as studied with an in vitro microfabricated model.

Analysis of mitochondrial genomes (mtDNA) by using whole-genome sequencing data from 2,658 cancer samples across 38 cancer types identifies hypermutated mtDNA cases, frequent somatic nuclear transfer of mtDNA and high variability of mtDNA copy number in many cancers.

Alternative stable states in forests have implications for the biosphere. Here, the authors combine forest biodiversity observations and simulations revealing that leaf types across temperate regions of the NH follow a bimodal distribution suggesting signatures of alternative forest states.

Suppressing surface Cs⁺ accumulation in methylammonium-free α-FA_1−xCs_xPbI₃ perovskite with an intermediate phase-assisted strategy enables high-efficiency and thermally stable photovoltaics.

The direct electrosynthesis of acetic acid from CO₂ typically has the drawback of CO₂ crossover. Now, a cascade approach for the electroreduction of CO₂ to CO, followed by CO to acetic acid, is reported in which off-target intermediates are destabilized, leading to an acetic acid Faradaic efficiency of 70%.

Analysis of whole-genome sequencing data across 2,658 tumors spanning 38 cancer types shows that chromothripsis is pervasive, with a frequency of more than 50% in several cancer types, contributing to oncogene amplification, gene inactivation and cancer genome evolution.

The development of a tandem catalyst, consisting of two distinct nanoscale-engineered layers, enables efficient multicarbon production with high CO₂ utilization in an acidic CO₂ electroreduction environment.

A scheme to control the confinement within 2D/3D perovskite heterostructures results in stable, efficient inverted perovskite solar cells.

Efficient, large-scale genomic analysis is facilitated on the cloud by a computational tool with error-diagnosing and self-healing capabilities.

Retaining high performance of perovskite solar cells over large areas is a challenge. Yang et al. use a thermotropic liquid crystal with high diffusivity that does not co-crystallize with the perovskite, suppressing defect formation and enabling large-area solar modules with improved stability and efficiency.

All-perovskite triple-junction solar cell devices have been fabricated, with a certified efficiency of 23.3%; these devices retain 80% of their initial efficiency following 420 hours of operation.

The solar conversion efficiencies of photoelectrochemical catalysis are hindered by the light harvesting range. Here, the authors use near-infrared-active photoanodes that feature lattice-matched morphological hetero-nanostructures to realize efficient photoelectrochemical hydrogen production.

By demonstrating a computational approach to restore the clinical efficacy of a COVID-19 antibody, the potential to rapidly update clinical antibodies is explored.

Urea electrosynthesis from nitrate and CO₂ is an attractive strategy to diminish pollutants and reduce emissions, but yields are generally low. Now, this process is performed on a Zn/Cu hybrid catalyst achieving high Faradaic efficiency for urea of 75% via a relay catalysis mechanism.

Performing CO₂ reduction in acidic conditions enables high CO₂ utilization. Here, the authors report an electrodeposited Cu catalyst which achieves a 60% faradaic efficiency for ethylene and 90% for multicarbon products–both records for acidic CO₂ reduction.

Because open-circuit voltage deficit is greater in wide-bandgap perovskite solar cells, the authors introduce diammonium molecules to modify perovskite surface states and achieve a more uniform spatial distribution of surface potential, enabling record voltage all-perovskite tandem solar cells.

A method in which pooled barcoded human cancer cell lines are injected into a mouse xenograft model enables simultaneous mapping of the metastatic potential of multiple cell lines, and shows that breast cancer cells that metastasize to the brain have altered lipid metabolism.