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Polymorphism, the presence of different crystal structures of the same molecular system, provides an opportunity to discover new phenomena and properties. Here, the authors crystallize coronene in the presence of a magnetic field, forming a different polymorph, which remains stable under ambient conditions.

The use of a universal chemical programming language (χDL) to encode and execute synthesis procedures for a variety of chemical reactions is reported, including reductive amination, ring formation, esterification, carbon–carbon bond formation and amide coupling. These procedures are validated and repeated in two international laboratories and on three independent robots.

The Suzuki-Miyaura cross coupling is widely used in industrial and academic settings for the formation of carbon-carbon bonds. Here, the authors report a procedure whereby a molecule with multiple reactive carbon-boron bonds can undergo sequential, selective Suzuki-Miyaura reactions without the need for protecting groups.

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.

Group-IV color centers in diamond show promise for spin-photon interfaces, but precise positioning and activation are challenging. Here the authors combine site-controlled ion implantation with laser annealing and in-situ photoluminescence monitoring to create and tune individual tin vacancy centers in diamond.

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.

Scanning tunnelling microscopy shows that electrons in twisted bilayer graphene are strongly correlated for a wide range of density. In particular, a correlated regime appears near charge neutrality and theory suggests nematic ordering.

Using well-calibrated statistical methods the authors jointly analyze Undiagnosed Diseases Network genomes, identifying known and novel disease genes. Software is publicly available to support future cross-cohort rare disease discovery efforts.

Parity induces an accumulation of CD8⁺ T cells, including cells with a tissue-resident-memory-like phenotype within human normal breast tissue, offering long-term protection against triple-negative breast cancer.

Bandit optimization models are used to identify generally applicable conditions by efficient condition sampling and evaluation of experimental feedback.

The authors analyze rare coding variants in 1990 individuals with congenital kidney anomalies, finding diagnostic variants in 14.1% of cases. They identify two new causal genes, ARID3A and NR6A1, along with 38 candidate genes, providing evidence for shared genetics with other developmental disorders.

Exome-sequencing analyses of a large cohort of patients with type 2 diabetes and control individuals without diabetes from five ancestries are used to identify gene-level associations of rare variants that are associated with type 2 diabetes.

Ancestral sequence inference, directed evolution, structural analysis, NMR, and molecular dynamics simulations illuminate how enantioselective activity arises during the evolutionary trajectory of chalcone isomerase from a noncatalytic ancestor.

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.

Mutations in the LaminA gene are the second most common inherited cause of Dilated Cardiomyopathy, a major form of heart failure. Here the authors show that disruption of the nuclear protein SUN1 in cardiomyocytes, by AAV mediated transduction of a SUN1 inhibitor, significantly suppress cardiomyopathy progression, providing a potential therapeutic route to treat this disease.

The development of catalysts that operate under low concentration CO₂ resembling industrial waste gases holds promise for CO₂ reduction. Here, the authors report a vacuum calcination approach for regulating the Cu⁰/Cu¹⁺ density on Cu-based catalysts that can electro-catalyze low-concentration CO₂.

Iridium oxide is the state-of-the-art catalyst for water oxidation in an acidic electrolyte. Now amorphous and crystalline iridium oxides are studied using operando time-resolved optical spectroscopy, together with other techniques, to reveal the nature and density of active centres and the role of adsorbate–adsorbate interactions.

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.

Copper-based catalysts are promising for electroreduction of carbon monoxide to multi-carbon products, yet further improvements in selectivity, productivity and stability are still needed. Here the authors show that doping copper with silver and ruthenium boosts its performance towards synthesis of n-propanol—a useful fuel.

Rational catalyst design is crucial toward achieving more energy-efficient and sustainable catalytic processes. Here the authors report a data-driven approach for understanding catalytic reactions mechanisms in dilute bimetallic catalysts by combining X-ray absorption spectroscopy with activity studies and kinetic modeling.

Analyses of samples from patients with acute myeloid leukaemia reveal that drug response is associated with mutational status and gene expression; the generated dataset provides a basis for future clinical and functional studies of this disease.

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

Large genome-wide meta-analysis of clinically diagnosed late-onset Alzheimer’s disease (LOAD) from 94,437 individuals identifies new LOAD risk loci and implicates Aβ formation, tau protein binding, immune response and lipid metabolism.

Ferrets constitute a useful model for influenza research because they are susceptible to human-adapted flu viruses. Here, the authors show that ferrets, like humans, lack a functional CMAH enzyme and synthesize a single type of sialic acid (Neu5Ac), resulting in naturally humanized influenza virus receptors.

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.

Introducing spin–orbit coupling by substrate proximity effect leads to an enhancement of superconducting phases in rhombohedral trilayer graphene.

A dataset of the genomes of 363 species from the Bird 10,000 Genomes Project shows increased power to detect shared and lineage-specific variation, demonstrating the importance of phylogenetically diverse taxon sampling in whole-genome sequencing.

Transition metal fluorides have high theoretical specific capacities as cathodes for lithium ion batteries, but low working potentials and poor energy efficiency limit their practical applications. Here, the authors report a group of ternary metal fluorides, which may overcome these problems.

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.

The development of metal–organic magnets that combine tunable magnetic properties with other desirable physical properties remains challenging despite numerous potential applications. Now, a mixed-valent chromium–triazolate material has been prepared that exhibits itinerant ferromagnetism with a magnetic ordering temperature of 225 K, a high conductivity and large negative magnetoresistance (23%).

Fine-mapping of causal variants and integration of epigenetic and chromatin conformation data identify likely target genes for 150 breast cancer risk regions.

Producing valuable chemicals from carbon dioxide, water and sunlight through artificial conversion schemes remains a challenging and ambitious goal in photocatalysis. Here, the authors introduce an effective approach for the synthesis of C₂₊ compounds using a binary AuIr catalyst in combination with InGaN nanowires.

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.

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.

The design of solution-processed thermoelectric nanomaterials with efficient, stable performance remains a challenge. Here, the authors report an in-situ doping method based on nanoscale interface engineering to realize n-type thermoelectric nanowires with high performance and stability.

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.

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.

The electroreduction of CO₂ offers a promising approach to produce carbon-neutral methane using renewable electricity. This study shows that the introduction of Au in Cu enables selective methane production from CO₂ by regulating *CO availability.

Skutterudites are a family of materials whose properties make them appealing for studying thermoelectric, magnetic, heavy-fermion and superconducting effects, among many others. Through a combination of theoretical and experimental approaches, this study identifies 43 new skutterudite compounds.

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.