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Anderson localization is a linear phenomenon, with ongoing debate about the impact of nonlinearity. This study shows that nonlinearity strengthens the localization of surface-gravity waves in a canal with a random bottom through experimental measurements and numerical simulations.

Scanning nitrogen-vacancy microscopy unveils super-moiré spin textures emerging in twisted double-bilayer CrI₃ and provides real-space evidence of antiferromagnetic Néel-type skyrmions spanning multiple moiré cells.

Experimental realizations of discrete time crystals have mainly involved 1D models with Ising-like couplings. Here, the authors realize a 2D discrete time crystal with anisotropic Heisenberg coupling on a quantum simulator based on superconducting qubits, uncovering a rich phase diagram.

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.

cellSTAAR advances noncoding rare variant association analysis by integrating single-cell genomics data.

A combination of high-resolution spatial imaging, spatial proteomics and transcriptional data reveals sparse and heterogeneous bacterial signals in gliomas and brain metastases.

Optical control of integer and fractional Chern insulators is demonstrated by circularly polarized optical pumping in tMoTe₂.

In a phase 1 trial testing healthy donor fecal microbial transplantation with immune checkpoint blockade in patients with previously untreated renal cell carcinoma, treatment was safe with an encouraging response signal and microbiome analyses, suggesting specific donor taxa associations with toxicity.

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.

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.

Digital surveillance at the national scale, coupled with a spatial model that extends the data to a more granular scale, reveals gaps in MMR vaccination coverage that align with recent measles outbreaks.

mRNA vaccines targeting SARS-CoV-2 also sensitize tumours to immune checkpoint inhibitors.

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.

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.

A completely solid-state, single-chip, microwave-frequency surface acoustic wave phonon laser can generate coherent phonons from thermal noise or resonantly amplify injected phonons using only a direct current bias field.

Twisted bilayer (tb) MoTe₂ is an ideal platform for investigating the fractional quantum anomalous Hall effect but issues related to air sensitivity make the study of its electronic structure experimentally challenging. As a solution, the authors prepare hBN encapsulated tb-MoTe₂ and using micro-angle resolved photoemission spectroscopy determine the band structure. Furthermore, through in-situ alkali metal deposition, they obtain evidence indicating a direct band gap.

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.

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.

How landscapes are arranged affects soil pathogenic fungi worldwide. The authors reveal the global pattern and pronounced scale-dependency of landscape complexity and land-cover quantity on soil pathogenic fungal diversity.

Lung adenocarcinomas bearing the ID2 mutational signature display increased LINE-1 retrotransposon activity, which contributes to their fast evolutionary dynamics and aggressive phenotype.

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.

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 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.

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.

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.

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.

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.

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.

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.

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.

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.

A highly potent and selective small-molecule catalytic inhibitor of the protein lysine methyltransferase NSD2 shows therapeutic efficacy in preclinical models of KRAS-driven pancreatic cancer and lung cancer.

The global burden of Metabolic syndrome is incompletely characterized. Here the authors report a systematic review and modelling study showing that global metabolic syndrome prevalence doubled from 2000 to 2023, now affecting 1.54 billion adults (31.0% of women, 25.7% of men), with higher rates in women, urban areas, and high-income countries, with disparities across regions.

Analysis of the longest-lived mammal, the bowhead whale, reveals an improved ability to repair DNA breaks, mediated by high levels of cold-inducible RNA-binding protein.   

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.

MultiSTAAR provides a general and flexible statistical framework for functionally informed multi-trait rare variant analysis of biobank-scale sequencing studies by jointly analyzing multiple traits and incorporating annotation information.

Analysis of mitochondrial genomes (mtDNA) by using whole-genome sequencing data from 2,658 cancer samples across 38 cancer types identifies hypermutated mtDNA cases, frequent somatic nuclear transfer of mtDNA and high variability of mtDNA copy number in many cancers.