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Radiation reaction (RR) on particles in strong fields is the subject of intense experimental research, but previous efforts lacked statistical significance due to the extreme regimes required. Here, the authors report a 5σ observation of RR and obtain strong, quantitative evidence favouring quantum models over classical, using an all-optical setup where electrons are accelerated by a laser in a gas jet before colliding with a second, intense pulse.

Conventional methods for human motion analysis using sensors tightly attached to the body are often uncomfortable. Here, the authors demonstrate motion recognition and prediction using sensors embedded in garments. The results provide guidance for the development of wearable technology integrated into everyday clothing.

Phosphorus locked in ancient marine carbonates shows that ocean phosphorus rose and fell with atmospheric oxygen during the Great Oxidation Event, Earth’s first major oxygenation. Models suggest brief nutrient pulses could have accelerated oxygen production

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.

Transcriptomic and clinical data analyses from multiple cohorts of patients with cancer receiving immunotherapy find that PD-1 blockade potentiates tumor-specific IgG1 plasma cell responses that complement cellular immunity and contribute to clinical benefit.

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.

New hominin fossils from the Grotte à Hominidés at Thomas Quarry I (ThI-GH) in Casablanca, Morocco, dated to around 773 thousand years ago are similar in age to Homo antecessor, yet are morphologically distinct.

Allogeneic T cell therapies could be used in therapeutic applications because of their potential for ‘off-the-shelf’ access and standardised production. Here the authors have developed a multidimensional workflow profiling platform for EBV-specific T cell therapy and show that correlative biomarkers of T cell potency and effector function are associated with therapeutic effectiveness in xenogeneic mouse EBV-LCL models.

Reported detections of gases in exoplanet atmospheres, including claims of biosignatures on K2-18 b, disappear when broader models are tested, revealing that such detections often reflect modelling limits rather than real signals.

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.

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.

piggyBat is the only known DNA transposon active in mammals. Here the authors used cellular assays and 3D structure to show that sequences within the transposon ends restrict activity, and also how transposition activity can be substantially increased.

Both environmental factors and genetic factors influence human immunity. Albert and colleagues leverage data from the Milieu Intérieur Consortium to comprehensively describe the effects of lifestyle, environment and genetics on human innate and adaptive immunity.

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.

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.

A key component of quantum error correction is the decoding algorithm, which needs to be accurate but also with a computational overhead that doesn’t lead to backlogs and allows fast logical clock rates. Here, the authors show an FPGA-driven decoder featuring a coarse-grained parallel architecture and on-the-fly error model updates, allowing both high accuracy and real-time operation.

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.

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.

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.

De novo structural variants are an important cause of rare disorders but remain poorly understood. Here, the authors analyse over 12,000 families and reveal the prevalence, diversity, and clinical impact of complex de novo structural variants.

A machine-learning-based computational approach to probe pathway coessentiality reveals that complex II of the electron transport chain regulates de novo purine synthesis, and can be targeted to treat acute myeloid leukaemia.

In social settings, people need to establish how much they contribute to shared outcomes. Here, the authors show that people strategically alter their actions to establish their level of control and identify neural activity underlying this process.

Accurately predicting the optimal pH level for enzyme activity is challenging due to the complex relationship between enzyme structure and function. Gado and colleagues show that a language model can effectively learn the structural and biophysical features to predict the optimal pH for enzyme activity.

High-depth sequencing of non-cancerous tissue from patients with metastatic cancer reveals single-base mutational signatures of alcohol, smoking and cancer treatments, and reveals how exogenous factors, including cancer therapies, affect somatic cell evolution.

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

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.

A significant challenge in modern drug development is the comprehensive profiling of covalent inhibitors. Here, the authors develop COOKIE-Pro, an unbiased method for quantifying the binding kinetics of irreversible covalent inhibitors on a proteome-wide scale.

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.

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.

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.

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.

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.

It is unknown how cortical stimulation identifies brain regions critical to speech and language when they depend upon broader brain networks. Here the authors show that these critical areas function as connectors between modules in the language network.

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.

Despite advances in the design of thermally activated delayed fluorescence (TADF) emitters for devices, the effect of spin interactions is not well understood. Here, the authors report the role of spin-vibronic coupling in TADF organic emitters using transient electron spin resonance spectroscopy.

A bispecific non-coding RNA expressed by the IS110 family of mobile genetic elements forms the basis of a programmable genome-editing system that enables the insertion, excision or inversion of specific target DNA sequences.

This study presents a BRET biosensor that measures how anticancer drugs cooperatively engage PRMT5 complexes in cells, revealing how cellular metabolites such as SAM and MTA enhance drug action and enable precision therapies for MTAP-deleted tumors.

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.

cSplotch compares spatial transcriptomics data across ages and regions of mouse colon tissue.

Typical quantum error correcting codes assign fixed roles to the underlying physical qubits. Now the performance benefits of alternative, dynamic error correction schemes have been demonstrated on a superconducting quantum processor.

Genomic analyses applied to 14 childhood- and adult-onset psychiatric disorders identifies five underlying genomic factors that explain the majority of the genetic variance of the individual disorders.

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.

In this study, the authors generated iPSC lines from more than 100 sporadic ALS cases, which recapitulated key disease phenotypes and enabled large-scale drug screening, identifying a promising combination therapy of baricitinib, memantine and riluzole.

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.