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For proper mitochondrial inheritance, paternal sperm mitochondria must be eliminated. Here, authors identify ALKB-1 mediated tRNA demethylation as essential for this clearance in Caenorhabditis elegans, revealing an epitranscriptomic quality checkpoint tied to male fertility.

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 found esterified pectin localized at the stiff poles of maize stomata, modulating stomatal opening. These results reveal novel targets for stomatal engineering and breeding crops with higher water use efficiency.

CrSBr is an air-stable van der Waals semiconducting layered antiferromagnet, holding the promise for a variety of spintronic applications. However, like all antiferromagnets, readout and control of the magnetic structures are challenging. Here, using a graphene gate on trilayer CrSBr, Hong, Sun, and coauthors succeed in full discrimination of otherwise degenerate magnetic states and electrical control of magnetic transitions.

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.

Kim, Wang, Clow and colleagues show that long-range chromatin loops bringing distal enhancers or super-enhancers together with promoters are cohesin dependent and cell type specific, whereas most short-range and promoter-centric transcriptional loops are cohesin independent and constitutive.

The advances in artificial intelligence are permeating most scientific domains, and heterogeneous catalysis is no exception. This Perspective discusses the current state and future prospects of AI in heterogeneous catalysis, from the development of an AI-ready data ecosystem to multimodal foundation models and autonomous labs.

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.

Total water storage in Eurasia can be driven by both climate variability and human activities, with the latter suggested as the key factor for water loss. However, here the authors show that drying in the low-latitude Atlantic Ocean is the dominant force in storage depeletion during 2003-2017.

Trihydrogen cations are abundant in interstellar space and play a vital role in both star and organic molecule formation. Now it has been shown that D₃⁺ cations can be directly produced through photoionization of molecular D₂–D₂ dimers.

The rapid expansion of agricultural irrigation raises concerns about exacerbating water scarcity, but land–atmosphere interactions are often overlooked. This study isolates irrigation impacts from other drivers using a multi-model framework to reveal that historical irrigation expansion substantially reduces net atmospheric water influx, intensifying drying trends and accelerating terrestrial water storage depletion, urging immediate mitigation strategies.

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.

Hereditary tyrosinaemia type I is caused by a gene defect that leads to a lethal accumulation of toxic metabolites in the liver. Here the authors use CRISPR/Cas9 to 'cure' the disease in mice by inactivating another gene, rather than targeting the disease-causing gene itself, to reroute hepatic tyrosine catabolism.

The authors find that TDP-43 loss of function—the pathology defining the neurodegenerative conditions ALS and FTD—induces novel mRNA polyadenylation events, which have different effects, including an increase in RNA stability, leading to higher protein levels.

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.

Wang et al. demonstrate that the vascular smooth muscle cell–dependent expression of TRPM7, an ion channel with kinase function, increases the levels of calcium and zinc and, thus, increases the MMP2 activity and contributes to the formation of abdominal aortic aneurysm.

Solid polymer electrolytes suffer from limited ionic conductivity and poor interfacial stability for lithium batteries. Here, authors propose a fluorinated ether diluent to reduce the dipole-dipole interaction of ionic solvate with the polymer matrix and induce the formation of aggregates.

This study reports the development and preclinical evaluation of a humanized citrullinated histone H3 (CitH3) monoclonal antibody that mitigates inflammation, restores macrophage function, and protects against sepsis-induced pulmonary injury.

Long distance interfaces between superconducting quantum information processing nodes would require coherent, efficient and low-noise microwave-to-optical conversion. Here, the authors use Yb ion ensembles in yttrium orthovanadate to demonstrate a transducer with the potential to fulfill these requirements.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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 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.

Nitrogen and phosphorus limitations are both key to spatial patterns and temporal trends in primary production. This global analysis indicates that phosphorus limitation on terrestrial primary productivity has become stronger and is increasing more rapidly than nitrogen limitation.

Using mouse pancreatic cancer models, Tsanov et al. show that reactivation of SMAD4 at metastatic sites promotes tumor growth in the lung through RUNX1 but restrains metastatic growth through KLF4 in the liver, influenced by organ-specific epigenetic states.

Multi-ancestry genome-wide association meta-analysis of major depression identifies new risk loci, assesses the transferability of risk loci across ancestry groups, and improves fine-mapping resolution and prioritization of candidate effector genes.

Moderate disorder can induce topologically nontrivial phases. Liu et al. report the experimental observations of the competition and interplay between Thouless pumping and disorder on a 41-qubit superconducting quantum processor.

Wastewater treatment plants are important reservoirs of antibiotic resistance genes (ARGs). Here, the authors analyze ARGs in a global collection of samples from wastewater treatment plants across six continents, providing insights into biotic and abiotic mechanisms that appear to control ARG diversity and distribution.

The goals, resources and design of the NHLBI Trans-Omics for Precision Medicine (TOPMed) programme are described, and analyses of rare variants detected in the first 53,831 samples provide insights into mutational processes and recent human evolutionary history.