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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.

To achieve simultaneous transparency and vivid multicolor switching in electrochromics is desirable owing to their potential as next-generation transparent displays. Here, the authors show a single-molecule design strategy that integrates a rhodamine moiety with a propylenedioxythiophene unit and incorporates molecular doping to achieve high optical transmittance with three distinct optical states.

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

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.

mRNA-based therapies require efficient and selective delivery systems to advance clinical applications and overcome challenges posed by current formulations. Here, authors developed Discrete Immolative Guanidinium Transporters (DIGITs), chemically defined carriers that enable pHresponsive mRNA release with organ and reticulocyte selectivity, minimal toxicity, and scalable synthesis.

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.

Coronary artery disease is a leading health threat, yet age- and sex-specific plaque patterns remain unclear. Here the authors show, using a 16,300-patient CCTA cohort, that females develop atherosclerosis ~20 years later, accelerating following menopause.

Vapour-phase methods are promising for nanomaterial synthesis but the vaporization of different precursors for the synthesis of a broad nanomaterial space is challenging. Here electrified vapour deposition generates ultrahigh-temperature, high-flux atomic vapour at atmospheric pressure to rapidly vaporize diverse precursors, enabling the synthesis of multi-elemental nanomaterials with uniform compositions and tunable structures.

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.

A high-bandwidth neuromotor interface offers performant out-of-the-box generalization across people.

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.

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.

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.

Analyses of genome and exome sequencing data identify rare coding and structural variants associated with atrial fibrillation and highlight genetic links between atrial fibrillation and cardiomyopathies.

Here the authors develop a pipeline combining atomic force microscopy and deep learning to trace and quantify the structure of complex DNA molecules like replication intermediates and recombination products. Furthermore, they characterise surface deposition effects using simulations.

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.

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

Human primary monocytes reversibly phase separate into regular, multicellular, multilayered domains on soft matrices with physiological stiffness due to local activation and global inhibition processes that occur during random cell migration.

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.

This study establishes the pig as a complementary model for studying human pancreas development. It shows pigs mimic human developmental tempo, gene regulation, and endocrine cell emergence, offering a valuable large-animal model for developmental biology.

Antimicrobial resistance genes that have been mobilized between bacterial species represent a subset of the naturally occurring resistome. Here, the authors compare the abundance, diversity and geographical patterns of acquired resistance genes with latent resistance genes in global sewage metagenomes.

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 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.

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 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.

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.

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.

Complete sequences of chromosomes telomere-to-telomere from chimpanzee, bonobo, gorilla, Bornean orangutan, Sumatran orangutan and siamang provide a comprehensive and valuable resource for future evolutionary comparisons.

Estimates from the Global Dietary Database indicated that 2.2 million new type 2 diabetes and 1.2 million new cardiovascular disease cases were attributable to sugar-sweetened beverages worldwide in 2020, with the highest burdens in sub-Saharan Africa, Latin America and the Caribbean.

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.

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.

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.

Integrated multi-omic analyses using samples from the TRACERx study highlight cross-talk between DNA hypermethylation and genomic lesions in non-small cell lung cancer.

Developing high-current-density catalysts is key to efficient water splitting. Here, the authors report a single-atom Ru-doped amorphous Ni–Mo oxide that dynamically self-reconstructs to retain high activity at industrial current densities in an anion-exchange membrane water electrolyzer.

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 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.

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.

Spatial cell distribution within a tissue microenvironment is a rapidly advancing field. Here, authors assess three commercially available single-cell resolution spatial transcriptomics approaches (CosMx, MERFISH, and Xenium) to inform which technology outperforms for immune profiling of solid tumors using patient samples.

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.

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.

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.

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.

This report from the 1000 Genomes Project describes the genomes of 1,092 individuals from 14 human populations, providing a resource for common and low-frequency variant analysis in individuals from diverse populations; hundreds of rare non-coding variants at conserved sites, such as motif-disrupting changes in transcription-factor-binding sites, can be found in each individual.

Synthetic health data have the potential to mitigate privacy concerns when sharing data to support biomedical research and the development of innovative healthcare applications. In this work, the authors introduce a use case oriented benchmarking framework to evaluate data synthesis models through a set of utility and privacy metrics.

The serine protease factor Xa (FXa) is upregulated in COVID-19 patients and functions in the coagulation pathway. Here, Dong et al characterise the basis of its antiviral activity in the context of SARS-CoV-2 pandemic variants.

A study of several longitudinal birth cohorts and cross-sectional cohorts finds only moderate overlap in genetic variants between autism that is diagnosed earlier and that diagnosed later, so they may represent aetiologically different conditions.