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Urban ecology traditionally focuses on single cities, yet cities play key roles in ecological processes such as migration. Radar analysis across the continental USA reveals that nearly half of stopover hotspots concentrate in metropolitan areas, linked to urbanization.

Much investment goes into improving police-community interactions, yet trust in police remains low. Here, the authors show that community members report feeling less threat and more trust when officers use transparency statements to start interactions.

Understanding collective behaviour is an important aspect of managing the pandemic response. Here the authors show in a large global study that participants that reported identifying more strongly with their nation reported greater engagement in public health behaviours and support for public health policies in the context of the pandemic.

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.

Personal names vary across cultures. Here, the authors show how historical name systems share a common information structure, reflecting pressure for efficient communication, as well as laws changing these systems and introducing systematic bias.

The planetary boundaries framework has emerged as a powerful tool for assessing the sustainable habitability of our planet. Reassessing these boundaries from a flow-based perspective demonstrates the critical threat posed by climate change relative to other biogeochemical risks.

The lowest-frequency gravitational wave background may be shaped by supermassive black hole binaries that scatter nearby stars or dark matter. In this case, the NANOGrav 15-year dataset favours dense galactic centres with 10⁶ solar masses per cubic parsec.

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.

Gene therapies often fail to reach tissues beyond the liver after intravenous delivery. Here, authors present MARVEL, a strategy that combines red blood cell hitchhiking with VEGF-induced vascular permeabilization to enhance lung targeting and deep tissue gene expression.

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.

Cell surface receptors perceive immunogenic elicitors, triggering downstream signalling via receptor-like cytoplasmic kinases such as BIK1. Here the authors define and use the phosphorylation motif of BIK1 to find novel substrate candidates.

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.

A global network of researchers was formed to investigate the role of human genetics in SARS-CoV-2 infection and COVID-19 severity; this paper reports 13 genome-wide significant loci and potentially actionable mechanisms in response to infection.

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.

Here the authors map the dynamics of human NK cell residency and recirculation, showing that CD56^bright NK cells transiently occupy tissues and recirculate via lymphatics, whereas CD56^dim NK cells remain vascular except during inflammation.

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.

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.

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.

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.

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.

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.

Non-haem iron superoxo species—proposed as key intermediates in catalytic activation of molecular oxygen—have proven difficult to structurally characterize. Here, the authors obtain crystallographic and spectral characterization of a non-haem iron(III)-superoxo species and subsequently study its reactivity.

A global research network monitoring the Amazon for 30 years reports in this study that tree size increased by 3% each decade.

Strontium isotope analysis can be applied to animal and plant tissues to help determine their provenance. Here, the authors generate a strontium isoscape of sub-Saharan Africa using data from 2266 environmental samples and demonstrate its efficacy by tracing the African roots of individuals from historic slavery contexts.

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.

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.

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.

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.

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.

The study finds coherent spin waves, generated by ultrafast laser pulses, drive antiferromagnetic domain walls (DWs) in Sr₂Cu₃O₄Cl₂ at a record  ~50 km/s. DW propagation direction is controllable via laser helicity and DW winding number, explained by in-plane magnon mode-induced dynamics unique to easy-plane anisotropy magnets.

Inventory data from more than 1 million trees across African, Amazonian and Southeast Asian tropical forests suggests that, despite their high diversity, just 1,053 species, representing a consistent ~2.2% of tropical tree species in each region, constitute half of Earth’s 800 billion tropical trees.

Whole-genome sequencing, transcriptome-wide association and fine-mapping analyses in over 7,000 individuals with critical COVID-19 are used to identify 16 independent variants that are associated with severe illness in COVID-19.

The fabrication self-sorting supramolecular gels, containing co-existing homomolecular assemblies with similar physical and chemical properties, is challenging. Here pH-controlled self-sorting gelators are reported, where the order of assembly of each component is predetermined by gelator pK_a.

How the carbon stocks of the Arctic–Boreal Zone change with warming is not well understood. Here the authors show that wildfires and large regional differences in net carbon fluxes offset the overall increasing CO₂ uptake.

Distinguishing between periods of unrest and the run-up to eruption is a major challenge at volcanoes around the globe. Here, we leverage multidisciplinary data to show that the Mauna Loa 2022 eruption was caused by 2 months of magma intrusion.

Sudan virus (SUDV) outbreaks in Uganda created public health concerns due to a lack of approved vaccines. In this study, the authors develop a repRNA SUDV vaccine and demonstrate full protection of a single dose of this vaccine in a lethal SUDV guinea pig model.

Processes to destroy per- and polyfluoroalkyl substances (PFASs) can produce gas-phase and aerosol-phase products of incomplete destruction (PIDs), which are often overlooked. This Review outlines PFAS destruction technologies and explores approaches to detect associated PID emissions, providing frameworks to evaluate and mitigate potential risks to human and environmental health.

The reduction of nitrite (NO₂⁻) to nitric oxide (NO), relevant to the biogeochemical nitrogen cycle as well as radioactive waste, typically occurs at redox-active metal centres. Now, a Lewis acid-capped nitrite has been reduced to the nitrite dianion (NO₂²⁻), a nitrogen-centred radical that connects three redox levels in the global nitrogen cycle through NO₂⁻, NO and N₂O.

MISO (MultI-modal Spatial Omics) integrates two or more spatial omics modalities, despite differences in data quality and spatial resolution for improved feature extraction and clustering to reveal biologically meaningful tissue organization.

Copper-containing proteins can be classified into types 1 and 2, depending on their functional or spectroscopic properties. Now, a protein that fits neither type has been built using a scaffold made from the protein Pseudomonas aeruginosa azurin.

Selective surface blocking allows for the regioselective DNA functionalization of nanoparticles and control over their self-assembly.

This study presents a comprehensive immunological assessment of post-coronavirus disease (COVID) respiratory illness, finding signatures potentially associated with recovery and candidate biomarkers for more severe lung disease.

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