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The reduction of N₂ to NH₃ is mediated in living systems by the enzyme nitrogenase and in the chemical industry by the Haber–Bosch process; both systems rely on iron-based catalysis. Now, a molecular tri(iron)bis(nitrido) complex, prepared by reduction of a bis(iron)bis(iodo) precursor under an N₂ atmosphere, has been isolated and shown to promote the formation of NH₃ from H₂.

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.

CAR and PXR receptors are known to regulate metabolism, however, there is no dual human ligand suitable for therapy. Here, the authors show a CAR agonist/PXR antagonist, MI-883, which regulates cholesterol/bile acid homeostasis by leveraging CAR and PXR activations in plasma cholesterol regulation.

High-throughput screening and hit optimization have led to the development of a small molecule, CIM-834, that targets the SARS-CoV-2 membrane protein and blocks assembly of the virus.

Genome-wide CRISPR screens for proviral host factors of SARS-CoV-2 and HCoV-229E human coronaviruses show that the lysosomal protein TMEM106B is required for SARS-CoV-2 infection.

The authors show that thin films of microporous metal–organic frameworks can be deposited on a broad range of substrates and on high-aspect-ratio features by means of chemical vapour deposition.

A liver-intrinsic mechanism is presented that suppresses effective anti-hepatitis virus B responses in mice and humans by rendering virus-specific CD8 T cells refractory to activation causing loss of effector functions.

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.

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.

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.

Early stellarator designs suffered from high particle losses, an issue that can be addressed by optimization of the coils. Here the authors measure the magnetic field lines in the Wendelstein 7-X stellarator, confirming that the complicated design of the superconducting coils has been realized successfully.

The role of innate T cell subsets in the pathogenesis of spondyloarthritis (SpA) is not well understood. Here, the authors examine the role of invariant natural killer T (iNKT) and γδ-T cells in SpA and show that disease-derived iNKT and γδ-T cells have unique and Th17-skewed phenotype and gene expression profiles within inflamed joints.

Combined CRISPRi chemical genetics and comparative genomics reveal Mycobacterium tuberculosis drug resistance mechanisms and a potential opportunity to repurpose clarithromycin to treat tuberculosis due to inactivation of the whiB7 resistance factor in an entire Mtb sublineage.

By infusing a ferrofluid into a microstructured matrix and applying a magnetic field, dynamic, multiscale topographical reconfigurations emerge, enabling functions such as colloidal self-assembly, switchable adhesion and friction, and biofilm removal.

Why does chronic inflammation manifest not only in the joints but also in the gut in a substantial proportion of patients with SpA? Insights into the genetic and environmental factors that link inflammatory bowel disease and SpA are provided in this Review. Furthermore, the authors present a transition model, describing a phase in the disease process during which acute inflammation is transformed into chronic pathology, and suggest that it might present the opportunity for effective therapeutic intervention.

Human brain structure changes throughout the lifespan. Brouwer et al. identified genetic variants that affect rates of brain growth and atrophy. The genes are linked to early brain development and neurodegeneration and suggest involvement of metabolic processes.

Genome-wide analysis identifies variants associated with the volume of seven different subcortical brain regions defined by magnetic resonance imaging. Implicated genes are involved in neurodevelopmental and synaptic signaling pathways.

Ibetazol, a novel compound efficiently and specifically inhibiting all importin β1-mediated nuclear import, will be a valuable tool for fundamental research into importin β1-mediated nuclear import mechanisms and a therapeutic lead in human diseases.

A candidate vaccine against SARS-CoV-2 that uses the yellow fever 17D live-virus vector is highly efficacious and displays a favourable safety profile in Syrian hamster, mouse and cynomolgus macaque models.

The emphasis placed on HLA-B27 positivity in classification criteria for axial spondyloarthritis has generated some concern over potential misclassification of patients with chronic back pain. The results of a recent study suggest that these worries could have some foundation, at least in regions with high HLA-B27 prevalence.

The genetic basis of metabolic diseases is incompletely understood. Here, by high-throughput phenotyping of 2,016 knockout mouse strains, Rozman and colleagues identify candidate metabolic genes, many of which are associated with unexplored regulatory gene networks and metabolic traits in human GWAS.

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.

Efficient, large-scale genomic analysis is facilitated on the cloud by a computational tool with error-diagnosing and self-healing capabilities.