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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.

Liu, Liu, Wu and Yao et al. developed a peptide inhibitor that selectively blocks the Ada-two-A-containing histone complex by targeting the YEATS2 YEATS domain and suppresses tumor growth in non-small cell lung cancer.

MedHELM, an extensible evaluation framework including a new taxonomy for classifying medical tasks and a benchmark of many datasets across these categories, enables the evaluation of large language models on real-world clinical tasks.

The deactivation of CO₂ reduction electrocatalyst in microbial media remains a key barrier for hybrid bio-electrochemical systems. Here, the authors present a bioadaptive nickel single atom catalyst that resists organic poisoning to enable high-rate CO-mediated isopropanol production from CO₂.

iGluSnFR4f and iGluSnFR4s are the latest generation of genetically encoded glutamate sensors. They are advantageous for detecting rapid dynamics and large population activity, respectively, as demonstrated in a variety of applications in the mouse brain.

Sepsis may progress into lethal septic shock, but the cellular mechanisms are still unclear. Here the authors show that, in septic mice, platelets activate perivascular mast cells to cause systemic hypotension and vascular pathology, while inhibiting platelets or mast cell activation suppresses septic shock induction, thereby implicating potential therapy targets.

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.

Monolayer transition metal dichalcogenide heterostructures with type II band alignment have generated wide interest in device physics at the two-dimensional limit. Here, Rivera et al. observe interlayer excitons in vertically stacked MoSe2–WSe2 heterostructures and demonstrate tunability of the energy and luminescence.

Single layers of group-VI transition metal dichalcogenides have emerged as direct bandgap semiconductors in the two-dimensional limit. The authors show that monolayer molybdenum diselenide is an ideal system enabling electrostatic tunability of charging effects in neutral and charged electron-hole pairs, so-called excitons.

Experimental demonstration of quantum speedup that scales with the system size is the goal of near-term quantum computing. Here, the authors demonstrate such scaling advantage for a D-Wave quantum annealer over analogous classical algorithms in simulations of frustrated quantum magnets.

Single-cell data analysis is challenging due to inherent noise and sparsity. Here, authors introduce scMINER, a mutual information-based integrative tool to enhance clustering and reveal regulatory networks and hidden biological drivers by transforming scRNA-seq expression into activity profiles.

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.

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.

Polygenic scores for body mass index and obesity constructed using data from 5 million people with different ancestries were associated with distinct weight gain trajectories from early childhood to adulthood.

Senescence causes age-related diseases and stress-related injury, but it is also physiologically essential during development. Here, Yao et al. show that programmed senescence in mesenchymal cells orchestrates postnatal lung development and that neonatal hyperoxia can induce senescence, particularly in type II, Pdgfra+ mesenchymal and immune cells, during the alveolar stage, resulting in lung injury.

Polo-like kinase 3 (Plk3) has a tumor suppressive role through the induction of apoptosis, however, the mechanism underlying its activation is unclear. Here, in pancreatic cancer, the authors show that activation of Plk3 is dependent on its cleavage into p41Plk3, by the metalloendopeptidase nardilysin.

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.

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.

Disassembly of three-dimensionally ordered materials generates nanoparticles with new structural and physicochemical properties. Here the authors show a fragmentation strategy applied to a perovskite material leading to nanostructures with improved catalytic activity in the methane combustion.

Genome-wide analyses identify 30 independent loci associated with obsessive–compulsive disorder, highlighting genetic overlap with other psychiatric disorders and implicating putative effector genes and cell types contributing to its etiology.

Cancer cells can be dependent on mitochondrial respiration to survive. Here, in pancreatic cancer cells, the authors show that monounsaturated fatty acids-linked ether lipids maintain mitochondrial redox homeostasis and modulate sensitivity to inhibition to electron transport chain complex I.

A genome-wide association meta-analysis study of blood lipid levels in roughly 1.6 million individuals demonstrates the gain of power attained when diverse ancestries are included to improve fine-mapping and polygenic score generation, with gains in locus discovery related to sample size.

This review covers the gradual evolution of various catalyst transfer polymerization (CTP) methods, focusing on Kumada CTP and Suzuki-Miyaura CTP, which have notably advanced the synthesis of simple conjugated polymers (CPs) toward more complex, precisely controlled architectures. It addresses progress in other CTP methods such as Stille, Negishi, Murahashi, and Sonogashira, which are steady but gradual and significant to the discussion. It concludes by discussing the emerging field of direct arylation polymerization, which exhibits certain aspects of living polymerization behaviour, providing a sustainable and efficient pathway for synthesizing CP-based architectures.

Current cell annotation methods using high-plex spatial proteomics data are resource intensive and demand iterative expert input. Here, the authors present MAPS (Machine learning for Analysis of Proteomics in Spatial biology), an approach that facilitates rapid and precise cell type identification with human-level accuracy from spatial proteomics data.

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 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.

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

A large genome-wide association study of more than 5 million individuals reveals that 12,111 single-nucleotide polymorphisms account for nearly all the heritability of height attributable to common genetic variants.

Hagenbeek et al. identify a small-molecule pan-TEAD inhibitor that blocks the interaction between YAP/TAZ and TEAD proteins. They demonstrate that treatment with the inhibitor leads to antitumor activity and can synergize with KRAS G12C inhibition.

The authors defined a roadmap for investigating the genetic covariance between structural or functional brain phenotypes and risk for psychiatric disorders. Their proof-of-concept study using the largest available common variant data sets for schizophrenia and volumes of several (mainly subcortical) brain structures did not find evidence of genetic overlap.

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.

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.

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.

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.

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.

Cleavage of strigolactone by the D14 receptor was assumed to produce an active intermediate that promotes signaling. Here the authors show that D14 activity is not dependent on cleavage activity and propose a new model whereby ligand hydrolysis serves to deactivate strigolactone signaling.

Multi-modal analysis is used to generate a 3D atlas of the upper limb area of the mouse primary motor cortex, providing a framework for future studies of motor control circuitry.

Methods to probe DNA methylation in the majority of non-human mammals are lacking. Here the authors developed a Mammalian Methylation Array that includes 36k well-conserved CpGs in mammals which will facilitate cross-species comparisons. They annotate the conserved CpGs in > 200 species. The array allows one to measure methylation in all mammalian species including unsequenced ones.

Genome-wide association and fine-mapping analyses in ancestrally diverse populations implicate candidate causal genes and mechanisms underlying type 2 diabetes. Trans-ancestry genetic risk scores enhance transferability across populations.