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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.

An integrated optical parametric amplifier on thin-film lithium niobate achieves more than 17 dB gain with less than 200 mW input power.

A pangenome of oat, assembled from 33 wild and domesticated oat lines, sheds light on the evolution and genetic diversity of this cereal crop and will aid genomics-assisted breeding to improve productivity and sustainability.

Genome editing tools can precisely introduce a specified lesion into the DNA, but ultimately rely on the cell’s DNA repair machinery to determine the editing outcome. Here, authors demonstrate how neurons’ unique DNA repair pathways impact the safety, efficiency, and precision of CRISPR edits.

Young and colleagues describe an atmospheric pressure transmission-geometry MALDI approach equipped with plasma ionisation, which allows for subcellular mass spectrometry imaging of lipids and nucleotides in cells and tissues.

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).

Barrett et al. identify a key Rubisco phase-separating protein in the CO₂-fixing pyrenoid of Chlorella algae. This protein’s broad promiscuity for green lineage Rubiscos may aid in engineering CO₂-supercharging pyrenoids in plants to boost yields.

Genome-wide association meta-analyses of attention-deficit/hyperactivity disorder symptom measures and clinical diagnoses identify new risk loci, highlight putative effector genes and yield improved polygenic risk scores.

Discovery of a biochemical mechanism through which lactate binds and inhibits the SUMO protease SENP1, stimulating timed degradation of cell cycle proteins, and resulting in mitotic exit.

Paspalum vaginatum is a stress tolerant wild relative of maize and sorghum. Here, the authors assemble its genome at pseudomolecule level and reveal the role of trehalose mediated autophagy in increasing maize biomass productivity under nutrient-deficit conditions.

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.

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.

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.

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.

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.

Calorimetry is a powerful tool for precise heat measurement at the nanowatt and picowatt scale but is often constrained by high cost and complexity. Here, the authors introduce a flexible printed circuit-based microcalorimeter that enables high-resolution thermal analysis at a lower cost than conventional systems.

TMPRSS2 and CTSL/CTSB, host proteases that facilitate SARS-CoV-2 entry, are promising drug targets. Here the authors simultaneously inhibit these host proteases and see synergistic antiviral effects, offering a broad-spectrum intervention against SARS-CoV-2 variants.

Neural mechanisms mediating information flow and processing in dendrites are not fully understood. Here the authors developed techniques to map bioelectrical excitations in the dendrites of neurons in acute slices of mouse brain tissue. They developed a holistic picture of the roles of dendritic excitations in spike back-propagation.

A pangenome analysis of 76 wild and domesticated barley accessions in combination with short-read sequence data of 1,315 barley genotypes indicates that allelic diversity at structurally complex loci may have helped crop plants to adapt to agricultural ecosystems.

Markov, Ren, Senkow and colleagues report that in patients with severe SARS-CoV-2 pneumonia, alveolar T cell interferon responses targeting structural SARS-CoV-2 proteins characterized patients who recovered, whereas responses against nonstructural proteins and activation of NF-κB were associated with poor outcomes.

Federated ML (FL) provides an alternative to train accurate and generalizable ML models, by only sharing numerical model updates. Here, the authors present the largest FL study to-date to generate an automatic tumor boundary detector for glioblastoma.

The International Barley Genome Sequencing Consortium reports sequencing and assembly of a reference genome for barley, Hordeum vulgare.

Type 1 diabetes poses an increasing health problem, and clearly results from both genetic and environmental factors. A genome-wide association study has identified at least one gene, previously unexamined in diabetes, which should be followed up in future studies.

A genome-wide association meta-analysis study here shows novel genetic loci to be associated to body fat percentage, and describes cross-phenotype association that further demonstrate a close relationship between adiposity and cardiovascular disease risk.

Sparse labelling and whole-brain imaging are used to reconstruct and classify brain-wide complete morphologies of 1,741 individual neurons in the mouse brain, revealing a dependence on both brain region and transcriptomic profile.

3D ATAC-PALM integrates ATAC with super-resolution imaging for nanoscale views of the accessible genome. When combined with FISH, protein fluorescence and genetic perturbation, the method enables investigation of accessible chromatin in situ.

An integrated analysis of de novo and inherited coding variants in 42,607 individuals with autism spectrum disorder identifies 60 risk genes of which five have not previously been associated with neurodevelopmental disorders.

Analysis of whole-genome sequencing data across 2,658 tumors spanning 38 cancer types shows that chromothripsis is pervasive, with a frequency of more than 50% in several cancer types, contributing to oncogene amplification, gene inactivation and cancer genome evolution.

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.