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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.

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.

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.

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).

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.

Diversity in medical fields is beneficial to both clinicians and patients, and Nature Reviews Urology is committed to improving the diversity of our specialty and supporting Black and under-represented minority urologists. In this Viewpoint, 12 medical students who are embarking on a career in urology describe their reasons for choosing the specialty, explain what they think can be done to increase the number of Black urologists, and describe what has led them to apply to specific programmes.

Bacteria of the phylum Bacteroidota move by gliding and export proteins using a type-9 secretion system. Here, Liu et al. show that these two processes use a shared mechanism in which outer membrane proteins are covalently attached by disulfide bonds to a moving track structure inside the cell.

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.

Serological studies are needed to understand the ongoing clade Ib mpox outbreak in the Democratic Republic of the Congo and neighboring countries. Here, the authors conduct a cross-sectional serological study in South Kivu, highlighting the role of professional sex workers and household transmission in mpox epidemiology.

How soluble misfolded proteins can bypass chaperones is unknown. Utilizing a meta-analysis, multi-scale modelling, and new experimental data it is found that this phenomena is common and arises from misfolded states that are native-like and long-lived due to protein self-entanglements.

Filamin C is a key actin-binding protein involved in cardiomyopathies and musculoskeletal disorders. Here, Wang et al reveal that it interacts with the heat shock protein HSPB7 under biomechanical stress, forming a stable hetero-dimer which is regulated by phosphorylation.

Understanding how excited states behave at heterojunctions between polymers in blends is fundamental to designing better organic solar cells and light-emitting diodes. A quantum-mechanical molecular-scale model of how excitations behave at heterojunctions has been developed, showing an unexpectedly wide but specific range of excitonic states.

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.

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.

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.

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.

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.

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 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.

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.

A study generates a clinicogenomics dataset resource, MSK-CHORD, that combines natural language processing-derived clinical annotations with patient medical data from various sources to improve models of cancer outcome.

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.

Nitrogen-containing compounds play an indispensable role in medicine, agriculture and materials, but alkylated derivatives especially in sterically congested environments, remain a challenge to prepare. Here, the authors report a versatile method for the regioselective hydroamination of readily available unactivated olefins with diazirines.

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.

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

The intersection of genomics and deep learning shows promise for real impact on healthcare and biological research, but the lack of interpretability in terms of biological mechanisms is limiting utility and further development. As a potential solution, Koo et al. present SQUID, an interpretability framework built using domain-specific genomic surrogate models.

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.

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.

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.

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.

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.

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.

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.

Cryo-electron microscopy structures of PCFT in a substrate-free state and bound to the antifolate drug pemetrexed provide insights into how this protein recognizes folates and mediates their transport into cells.

System xc- is a cystine transporter that is expressed in the plasma membrane and imports cystine in exchange for intracellular glutamate. Here, the authors present the cryo-EM structure of human system xc- both in the apo form and the glutamate bound state, and further supported by molecular dynamics and cell-based assays they discuss its cystine transport mechanism.

Molecular phylogenetics, ancestral sequence reconstruction and biophysical protein characterization are used to investigate the interaction between the orange carotenoid protein and its unrelated regulator, the fluorescence recovery protein (FRP). This interaction evolved when a precursor of FRP was horizontally acquired by cyanobacteria.

Chronic infection with SARS-CoV-2 leads to the emergence of viral variants that show reduced susceptibility to neutralizing antibodies in an immunosuppressed individual treated with convalescent plasma.

Loss-of-function mutations in Myosin Binding Protein C3, MYBPC3, are the most common genetic cause of hypertrophic cardiomyopathy. Here, the authors present an AAV9-based gene therapy system with an optimized expression cassette with minimal promoter and cis-regulatory elements that can ameliorate cardiac functions and prolong survival in a murine MYBPC3-deficient model.

Sera from vaccinated individuals and some monoclonal antibodies show a modest reduction in neutralizing activity against the B.1.1.7 variant of SARS-CoV-2; but the E484K substitution leads to a considerable loss of neutralizing activity.