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The authors report the discovery of charge order with onset temperature of 800 K in the kagome superconductor YRu₃Si₂. In addition, they observe time-reversal symmetry breaking below 25 K, field-induced magnetism below 90 K and bulk multi-gap superconductivity below 3.4 K.

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 CMS Collaboration reports the measurement of the spin, parity, and charge conjugation properties of all-charm tetraquarks, exotic fleeting particles formed in proton–proton collisions at the Large Hadron Collider.

Iacobucci et al. present the single-cell transcriptomic profile of patients with B cell acute lymphoblastic leukemia, report enriched multipotency and develop a multipotency score that is associated with worse survival in pediatric patients.

It is generally assumed that no-signalling constraints and relativistic causality are equivalent. Here, the authors show that, in the multipartite setting, the no-signalling condition is in general stronger than demanding relativistic causality.

Spatial relationships between clustered proteins within synapses shape neurotransmission. Here, NMDA receptors are shown to align with only a subset of presynaptic release sites, suggesting a structural mechanism controls NMDAR-mediated synaptic transmission.

The quark structure of the f₀(980) hadron is still unknown after 50 years of its discovery. Here, the CMS Collaboration reports a measurement of the elliptic flow of the f₀(980) state in proton-lead collisions at a nucleon-nucleon centre-of-mass energy of 8.16 TeV, providing strong evidence that the state is an ordinary meson.

Popescu et al. developed a deep learning approach that blends neural networks and survival analysis to predict patient-specific survival curves from raw contrast-enhanced cardiac magnetic resonance images and clinical covariates for patients with ischemic heart disease to offer accurate arrhythmic sudden death predictions.

The correlations exhibited by multipartite quantum systems composed of more than two entangled subsystems are more difficult to describe than those of bipartite quantum systems. Fritzet al.propose a principle of 'local orthogonality' as a key element to describing multipartite quantum correlations.

The application of astatine, one of the rarest elements on the earth, in the treatment of cancer requires a better understanding of its chemistry. Rothe et al. report the first measurement of the ionization potential of astatine, against which high-level quantum calculations are benchmarked.

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.

Quantitative phase imaging techniques have been limited by multiple scattering of light or its use in transmission mode. Here, the authors show a gradient light interference microscopy method in a reflection geometry which allows for label-free phase imaging of bulk and opaque samples.

An organic photoredox catalyst system efficiently reduces C–F bonds, generating carbon-centred radicals for hydrodefluorination and cross-coupling reactions, enabling the general use of organofluorines as synthons and breaking down environmentally damaging forever chemicals.

The dysfunction of IL-10 secreting regulatory B cells has been linked to the pathogenesis of autoimmune disease. Here the authors show that low dose IL-2 therapy can enhance IL-10 production in regulatory B cell populations via the modulation of BACH2.

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

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 24,202 critical cases of COVID-19 identifies potentially druggable targets in inflammatory signalling (JAK1), monocyte–macrophage activation and endothelial permeability (PDE4A), immunometabolism (SLC2A5 and AK5), and host factors required for viral entry and replication (TMPRSS2 and RAB2A).

Bin Tean Teh, Patrick Tan, Steven Rozen, Irinel Popescu and colleagues report exome sequencing of cholangiocarcinomas, including cases caused by liver fluke (Opisthorchis viverrini) infection and cases caused by non–O. viverrini etiologies. They identify recurrent somatic mutations in BAP1 and ARID1A and demonstrate different mutation patterns in liver fluke infection–related and non-infection-related cancers.

Endogenous formaldehyde accumulation reveals Cockayne syndrome in mice and stimulates production of the anorexiogenic peptide GDF15 in proximal tubule cells.

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.

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.

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.

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 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.

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.

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.

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 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.

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.

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.

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.

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.

Safely opening university campuses has been a major challenge during the COVID-19 pandemic. Here, the authors describe a program of public health measures employed at a university in the United States which, combined with other non-pharmaceutical interventions, allowed the university to stay open in fall 2020 with limited evidence of transmission.

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.

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.

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.

A comprehensive multi-omics reference atlas of prenatal human skin shows that innate immune cells crosstalk with non-immune cells to perform pivotal roles in skin morphogenesis, including the formation of hair follicles.

Wesley et al. describe the developmental trajectories of human foetal liver cell types at single-cell resolution and generate bipotential hepatoblast organoids, which can serve as a new platform to investigate human liver development.