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By combining satellite observations with ground-based data and expert validation, this analysis demonstrates considerable misestimation of grassland extent and thereby carbon stock estimates in previous global assessments based on remote sensing.

The authors previously pinpointed OLAH (oleoyl-ACP-hydrolase) as a driver of life-threatening viral diseases. Here, the authors identify increased IL-18Rα expression on CD8⁺ T cells, which acquire a reduced cytotoxic signature, correlates with severe respiratory viral infection of influenza A virus, RSV and COVID-19.

Resting T cells are difficult to manipulate, and are a reservoir for latent HIV. Here, the authors develop a lipid nanoparticle formulation with the ability to transfect resting primary human T cells, enabling delivery of mRNAs that result in reactivation of latent HIV. This could help development of HIV cure strategies.

Chang and Yu review recent knowledge of how lncRNAs regulate immune cell specification and function.

Diabetic retinopathy is a major cause of blindness, yet ways to predict who will be affected remain limited. Here, the authors show that patterns of blood proteins can reveal disease mechanisms and enable powerful early prediction across diverse populations.

The immune response to SARS-CoV-2 infection is variable but has been linked to prognosis and the development of severe immunopathology. Here the authors assess a range of immune parameters in both peripheral blood and respiratory samples, providing a comparative assessment of the immune response between these compartments and their potential impact on immune-pathogenesis.

Whole blood signatures have served as the potential biomarkers for TB but failed to meet World Health Organization’s (WHO) optimal target product profiles (TPP). By employing cohorts from multiple countries, the authors identify a diagnostic 6-gene signature from cell free RNA which outperforms TPP requirement in distinguishing TB from non-TB.

Melting from below is crucial for the future evolution of Antarctic ice shelves. Here the authors use an Earth system model with explicit simulations of ice-shelf cavities to show how regional hydrography and topography determine when an ice shelf will undergo rapid melting.

S63845 specifically inhibits MCL1 and induces tumour cell death in vitro and in vivo in diverse cancer-derived cell lines with an acceptable safety margin.

Pressure ridges, a characteristic feature of Arctic sea ice, play an important role in the ecosystem but pose challenges to shipping. Here the authors use aircraft measurements to document a decline in both the frequency and height of these pressure ridges in recent decades.

This protocol covers the acoustics-based separation of biological particles such as viruses and single extracellular vesicles from biofluids, including plasma and saliva, with high purity.

Atherosclerosis diagnosis relies primarily on imaging and early detection of high-risk atherosclerotic plaques is important for risk stratification of patients and stabilization therapies. Here Htun et al. demonstrate that vulnerable atherosclerotic plaques generate near-infrared autofluorescence that can be detected via emission computed tomography.

Arctic warming will decrease sea ice cover and increase the possibility of intensified marine heatwaves. Using a high-resolution model, the authors show that this intensification, combined with strengthened short-term temperature variability and enhanced stratification, could threaten the ecosystem.

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.

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.

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.

How much methane will be emitted from the boreal-Arctic region under climate change is not well constrained. Here the authors show that accounting for distinct wetland and lake classes leads to lower estimates of current methane loss as some classes emit low amounts of methane.

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.

Selvakumar, Clayton et al. use a porcine model of myocardial infarction and PSC-CM transplantation and identify atrial and pacemaker-like cardiomyocytes as the cause of engraftment arrhythmias and surface marker signatures to distinguish between arrhythmogenic and non-arrhythmogenic cardiomyocytes.

First-in-human results from five cohorts of healthy volunteers and individuals with hepatic steatosis show that RNA interference treatment targeting ANGPTL3 was well tolerated and led to reduction in triglycerides and non-HDL cholesterol.

Kedzierska et al. report an association between low production of receptor-binding domain antibodies after mRNA vaccination and altered glycosylation of IgG before vaccination in people with comorbidities, and show that this condition disproportionately affects Australia’s First Nations peoples because of the high burden of comorbidities in this population.

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

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 ocean carbon sink strengthened in previous warm El Niño years due to reduced CO₂ outgassing in the tropics. Here the authors show that the ocean carbon sink declined in 2023 despite record-high sea surface temperatures (SSTs), primarily due to SST-driven outgassing of CO₂ in the subtropics.

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.

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.

Changes in the Arctic could impact the oceanic carbon sequestration of the region. Here the authors consider regional biogeochemistry, including coastal erosion and river inputs, to show a 40% reduction in the biological carbon pump to 2100 under climate change.

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 used an autonomous biophysical observatory to estimate the light intensity triggering seasonal zooplankton vertical migration under Arctic sea ice. Considering this trigger, they project future reductions in time spent in the under-ice habitat, with implications for Arctic ecosystems.

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.

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.

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.

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.

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.

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.

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 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 multi-ancestry genome-wide association study for age at menarche followed by fine mapping and downstream analysis implicates 665 pubertal timing genes, such as the G-protein-coupled receptor 83 (GPR83) and other genes expressed in the ovaries involved in the DNA damage response.

Exome sequencing and copy number analysis are used to define genomic aberrations in early sporadic pancreatic ductal adenocarcinoma; among the findings are mutations in genes involved in chromatin modification and DNA damage repair, and frequent and diverse somatic aberrations in genes known as embryonic regulators of axon guidance.