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Pangenomic and epidemiological analyses reveal a genetic shift in U.S. Salmonella Hadar populations during 2019–20, driven by expansion of a lineage carrying a prophage-like element that likely arose in commercial poultry and spread to backyard flocks.

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.

The West Antarctic Ice Sheet responded to different natural forcing mechanisms than the East Antarctic Ice Sheet through the mid-Pliocene due to a greater sensitivity to oceanic feedbacks, according to iceberg-rafted debris records and ice-sheet modelling experiments.

dSHERLOCK is a nucleic acid platform for the quantification of double-stranded DNA targets using CRISPR/Cas and isothermal amplification and is applied to quantify pathogen C. auris in clinical surveillance swab samples.

Detection of hot intracluster gas in SPT2349−56 with the Atacama Large Millimeter/submillimeter Array provides new insights into early cluster formation.

Here, the authors examine the mechanisms behind cheatgrass’s successful invasion of North American ecosystems. Their genetic analyses and common garden experiments demonstrate that multiple introductions and migrations facilitated cheatgrass local adaptation.

In this study, the authors present that patterned low-intensity ultrasound mimicking brainwave rhythms revitalizes spinal astrocytes to normalize pain signaling, reversing inflammation and providing long-lasting relief from neuropathic pain in mice.

In this multicenter phase 1 trial of patients with advanced solid tumors resistant to anti-PD-1 therapy, treatment with the anti-latent TGFβ1 antibody linavonkibart with or without pembrolizumab was safe, and encouraging clinical response rates were associated with T cell infiltration and immune activation.

Mucosal influenza vaccines promise enhanced protection but lack defined immune correlates of protection. Here, the authors conduct a phase I trial of an intranasal recombinant influenza A/H5 vaccine with a nanoemulsion adjuvant, demonstrating successful mucosal priming and broad cross-clade immune responses, advancing the development of intranasal influenza vaccines.

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.

This study demonstrates that the extracellular matrix (ECM) of the developing brain stabilizes recently born synapses. The authors identify a microglial metalloprotease that digests the ECM to increase the plasticity of these newborn synapses.

Animal models of drug use require specialized technical expertise and often differ from how humans consume drugs. Here, the authors establish a robust method which allows mice to self-administer intranasal cocaine, greatly improving face validity and ease of use.

Experimental measurements of high-order out-of-time-order correlators on a superconducting quantum processor show that these correlators remain highly sensitive to the quantum many-body dynamics in quantum computers at long timescales.

Early high-resolution images of two 2021 novae reveal eruptions unfolding in multiple stages with colliding outflows that produce shocks and gamma rays, reshaping our understanding of stellar explosions.

Vinyl acetate is an important polymer building block, but the mechanisms governing its catalytic production are not well understood. This study shows that dynamic palladium-acetate clusters determine catalyst efficiency and selectivity in vinyl acetate synthesis.

Chronic care manages long-term, progressive conditions, while acute care handles short-term ones. Here, authors show chronic conditions account for most of the global health burden, with 68% of DALYs and 93% of YLDs attributed to chronic care needs.

Pulmonary large cell neuroendocrine carcinoma is an aggressive subtype of lung cancer. Here, the authors identify distinct subtypes based on genomic alterations and transcriptomic alterations.

Insights into the mechanism of methylthio-alkane reductase (MAR)—a nitrogenase-like enzyme essential for growth under sulfate-limited conditions—have remained scarce. Now a cryo-EM structure of MAR from Rhodospirillum rubrum, along with spectroscopic investigations, reveals how it uses complex metallocofactors for catalysis.

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.

Literature mining, such as systematic review and meta-analysis, is crucial for discovering, integrating, and interpreting emerging research. This study presents a specialized large language model for literature that outperforms six general LLMs and helps clinicians in study selection and data extraction tasks.

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.

This study combines AI and light-based brain stimulation to detect and treat Parkinson’s disease in mice, enabling early diagnosis and deeper insight into symptoms and treatment effects.

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.

MrVI, based on deep generative modelling, is a unified framework for integrative, exploratory and comparative analyses of large-scale (multi-sample) single-cell RNA-seq datasets.

Clonal haematopoiesis (CH) has been associated with altered inflammatory profiles and increased risk of cardiovascular and malignant diseases. Here, the authors analyze patient data from two different cohorts and show that CH is associated with severe infections and severe Covid19.

Resistance to first line treatment is a major hurdle in cancer treatment, that can be overcome with drug combinations. Here, the authors provide a large drug combination screen across cancer cell lines to benchmark crowdsourced methods and to computationally predict drug synergies.

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.

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.

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 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.

The results from a state-of-the-art suite of hydrodynamical cosmological zoom-in simulations show how globular clusters naturally emerge in the Standard Cosmology and also reveal the existence of a new class of object called globular-cluster-like dwarfs.

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 single-cell sequencing study using more than 30,000 tumour genomes from human ovarian cancers shows that whole-genome doubling is an ongoing mutational process that drives tumour evolution and disrupts immunity.

It remains unclear whether machine learning methods can accurately identify cancer driver alterations. Here, the authors compare machine learning-based approaches to other computational methods to determine their utility for annotating variants of unknown significance and identifying driver alterations in real-world cancer patient data, demonstrating superior performance.

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.

In this Stage 2 Registered Report, Buchanan et al. show evidence confirming the phenomenon of semantic priming across speakers of 19 diverse languages.

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.

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.

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.

Cell type labelling in single-cell datasets remains a major bottleneck. Here, the authors present AnnDictionary, an open-source toolkit that enables atlas-scale analysis and provides the first benchmark of LLMs for de novo cell type annotation from marker genes, showing high accuracy at low cost.

Federated learning (FL) algorithms have emerged as a promising solution to train models for healthcare imaging across institutions while preserving privacy. Here, the authors describe the Federated Tumor Segmentation (FeTS) challenge for the decentralised benchmarking of FL algorithms and evaluation of Healthcare AI algorithm generalizability in real-world cancer imaging datasets.

We report full-colour, vertically stacked µLEDs that achieve exceptionally high array density (5,100 pixels per inch) and small size (4 µm) via a 2D material-based layer transfer technique, allowing the creation of full-colour µLED displays for augmented and virtual reality.

Kwak et al. report that adherens junctions organize membrane microdomains, leading to lipid-dependent γ-secretase recruitment and size-dependent protein segregation, excluding full-length Notch receptor.

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.

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.