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Post-translational modifications (PTMs) are important for the stability and function of many therapeutic proteins. Here, the authors develop a high-throughput workflow combining cell-free gene expression with AlphaLISA to rapidly characterize and engineer PTMs on both proteins and peptides.

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.

A study of dependencies associated with cancer-causing mutations has identified a small molecule that binds to SHOC2 and inhibits RAS signalling in cells carrying NRAS Q61 mutations, a common oncogenic driver in melanoma.

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.

Variations in the oxygen and hydrogen isotope composition of meteoric waters are reconstructed using hydrothermally altered granitoids. These variations show major rearrangements in the Antarctic hydrological cycle during Cenozoic glaciation.

Solid-state quantum devices can suffer from decoherence caused by fluctuating electron spins in the surrounding material. Operating in a regime where the electron spins become magnetically ordered produces substantially longer coherence times.

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.

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.

Retinol, a form of vitamin A, plays an essential role in many biological processes throughout the human lifespan. Here the authors identify genetic variants that influence the level of circulating retinol and use this information to better understand how retinol impacts human health.

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.

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.

A structure of the MRAS–SHOC2–PP1C complex supports a RAS-driven and multi-molecular model for RAF activation in which individual RAS–GTP molecules recruit RAF–14-3-3 and SHOC2–PP1C to activate the downstream pathway.

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.

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.

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.

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.

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.

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.

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.

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.

Phylogenomic analysis of 7,923 angiosperm species using a standardized set of 353 nuclear genes produced an angiosperm tree of life dated with 200 fossil calibrations, providing key insights into evolutionary relationships and diversification.

The stability of perovskite tandem solar cells is an issue. Li et al. show that diamines improve the compositional homogeneity of a low-bandgap perovskite surface and form a low-dimensional barrier that passivates defects, leading to an operational stability of over 1,000 h.

The structure of apolipoprotein B100 provides insights into how the various domains of apoB100 act in concert to maintain low-density lipoprotein shape and cohesion across a range of particle sizes.

Genome-wide analyses of blood cell phenotypes derived from perturbations coupled with flow cytometry-based functional readouts identify loci associated with latent cellular traits, yielding insights into biological mechanisms underlying common diseases.

To understand whether or not the design of machine learning systems can integrate domain expertise, a recent work proposes methodologies to synthesize domain science with machine learning, which shows added benefits.

Analysing camera-trap data of 163 mammal species before and after the onset of COVID-19 lockdowns, the authors show that responses to human activity are dependent on the degree to which the landscape is modified by humans, with carnivores being especially sensitive.

Yang et al. show that neuronatin (NNAT) can explain part of the phenotypic variation of complex traits, independently of genetics or the environment. Such NNAT-dependent variations can stratify human cohorts into four metabolic sub-types, including two distinct types of obesity.

Penetrance of variants in monogenic disease and clinical utility of common polygenic variation has not been well explored on a large-scale. Here, the authors use exome sequencing data from 77,184 individuals to generate penetrance estimates and assess the utility of polygenic variation in risk prediction of monogenic variants.

Analyses from the Global Maternal Health microsimulation model revealed that a comprehensive strategy involving family planning and community-based interventions would have the largest impact in reducing maternal mortality, although the priority of different interventions need to vary by setting.

A catalogue of predicted loss-of-function variants in 125,748 whole-exome and 15,708 whole-genome sequencing datasets from the Genome Aggregation Database (gnomAD) reveals the spectrum of mutational constraints that affect these human protein-coding genes.

Modeling analyses of maternal mortality data for 200 countries and territories reveal that based on current trends, the maternal mortality Sustainable Development Goal targets for 2030 are unlikely to be met.

Reduced-dimensional halide perovskites are promising for light-emitting diodes but suffer from photo-degradation. Here Quan et al. identify the edge of the perovskite nanoplatelets as the degradation channels and use phosphine oxides to passivate the edges and boost device performance and lifetime.

Michael Talkowski, David FitzPatrick, Erica Davis and colleagues report rare inherited or de novo missense variants in SMCHD1 in arhinia patients. Some of the same mutations in SMCHD1 are known to cause a phenotypically distinct muscular dystrophy disorder, FSHD2, and the distinct clinical features of the two disorders suggests that additional genes interact with SMCHD1 to cause arhinia.

The distinctive interdependence in mixed ionic-electronic conductors emulates retinal pathway. Here, the authors develop a modular organic neuromorphic spiking circuit to replicate the interdependent functions of receptors, neurons and synapses that are chemically modulated by neurotransmitters.

OPCML is a tumour suppressor gene that is epigenetically silenced in ovarian cancer and is somatically mutated in various cancers. Here, the authors solve the X-ray crystal structure of OPCML and model clinically relevant mutations that could contribute to tumorigenesis.

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.

Climate change and habitat loss threaten species survival in Madagascar. Ruffed lemurs, a representative species in the eastern rainforest, could lose 38–93% of their habitat from climate change and deforestation by 2070; protecting areas from deforestation is necessary to protect Malagasy biodiversity.