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Based on two waves of data collection from 748 households in Hong Kong, this analysis sheds light on the number of transmission events that occurred before manifestation of symptoms in influenza A and B cases.

The xylosyltransferase isoenzymes XT1 and XT2 catalyze the first glycosylation step in the biosynthesis of proteoglycans. Now, bump-and-hole engineering of XT1 and XT2 enables substrate profiling and modification of proteins as designer proteoglycans to modulate cellular behavior.

MultiSuSiE is an extension of the Sum of Single Effects fine-mapping model that allows causal effect sizes to vary across ancestries. Applying MultiSuSiE to quantitative traits in All of Us identifies fine-mapped variants not implicated by other methods.

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 global network of researchers was formed to investigate the role of human genetics in SARS-CoV-2 infection and COVID-19 severity; this paper reports 13 genome-wide significant loci and potentially actionable mechanisms in response to infection.

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.

Authors provide real-world evidence demonstrating that rifaximin use in patients with cirrhosis and hepatic encephalopathy was associated with increased antimicrobial resistance, increasing the risk of infection-related complications and mortality.

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.

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

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.

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 disordered network structure of glasses makes understanding their fracture behaviour on the atomic-scale complex. Here, scalar- and tensor-based predictors are used to determine the susceptibility of local regions to mechanically induced rearrangements.

Chemoautotrophic carbon fixation is vital for evaluating permafrost carbon-climate feedback, but has been largely ignored. Here the authors find that dark carbon fixation predominates ~1/3 of the investigated thermokarst lakes on the Tibetan Plateau.

Astrocytes are associated with Alzheimer’s disease pathogenesis. We found that the transcription factor Sox9 functions to enhance astrocytic phagocytosis of Aβ plaques via MEGF10, and this clearance of plaques is associated with the preservation of cognitive function in mouse models.

An effective CRISPR RNA occlusion strategy enhances mismatch detection when using Cas13.

Cardiovascular function declines with age. In this study, the authors show that the BAT-derived lipokine 12,13-diHOME preserves cardiac function in aged mice by attenuating pathological CaMKII activity.

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.

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 meta-analysis of genome-wide association studies of type 2 diabetes (T2D) identifies more than 600 T2D-associated loci; integrating physiological trait and single-cell chromatin accessibility data at these loci sheds light on heterogeneity within the T2D phenotype.

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.

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.

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 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.

The mitochondrial β-barrel assembly machinery exhibits conformational dynamics in the absence of substrate. The antibiotic darobactin A stabilizes the open confirmation of the Sam50 lateral gate and inhibits SAM complex function in vitro.

Insects are declining in many regions. Here the authors show that arthropod biomass losses in Jena Experiment and Biodiversity Exploratories time series are driven more by species loss than by species identity and abundance declines, and are mitigated by high plant diversity and low land-use intensity.

Planting diverse forests is widely promoted as a way to counter climate change and improve ecosystem functioning. This study finds that the spatial arrangement of tree species matters: forests with higher spatial mixing of tree species yield greater biomass, faster nutrient cycling, and thus enhanced ecosystem functioning.

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.

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.

In this Stage 2 Registered Report, Buchanan et al. show evidence confirming the phenomenon of semantic priming across speakers of 19 diverse languages.

Spin-enhanced lateral flow tests use nanodiamonds for the sensitive, robust detection of disease biomarkers. Here, authors report a clinical evaluation of a test for SARS-CoV-2 antigen, finding 95.1% sensitivity (Ct ≤ 30) and 100% specificity, with detection 2.0 days earlier than conventional tests.

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.

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 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.

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.

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.

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.

CRISPR-based genome editing therapeutics are entering the clinic, but in vitro and in vivo tools are needed to assess their safety and efficacy. The authors review complementary technologies to monitor the biological effects of genome editing across scales, including the direct measurement of editing outcomes in DNA, human microphysiological systems and non-invasive in vivo imaging.

Findings on solar activity in the first millennium CE confirm four Grand Solar Minima and indicate two patterns of weakening-then-strengthening in the Schwabe cycle, providing insights into solar dynamo behavior, according to analysis of Δ14C data from tree rings.

Epithelial organoids are grown without Matrigel using a single-chain antibody.

An analysis of 24,202 critical cases of COVID-19 identifies potentially druggable targets in inflammatory signalling (JAK1), monocyte–macrophage activation and endothelial permeability (PDE4A), immunometabolism (SLC2A5 and AK5), and host factors required for viral entry and replication (TMPRSS2 and RAB2A).

In interstitial lung disease, aberrant KRT8+ basaloid cells impair alveolar repair mechanisms. Here they show that Interleukin-11 expression in KRT8+ cells potentiates their pathological properties and causes lung scarring, which can be prevented by anti-IL11 therapy.

Ming-Rong Wang, Benjamin Berman and colleagues perform whole-exome sequencing and global methylation profiling on different tumor regions of esophageal squamous cell carcinoma. They find evidence for intratumoral heterogeneity and identify late driver mutations targeting oncogenes and early driver mutations occurring in tumor-suppressor genes.

Trained and validated on multimodal data from 14.5 million images from multicountry datasets, a foundation model is shown to increase diagnostic and referral accuracy of clinicians when used as an assistant in a trial involving 16 ophthalmologists and 668 patients.

In experimental situations, random and sparse observations hinder understanding of the underlying complex dynamical system. The authors introduce a hybrid, transformer-based machine-learning framework to reconstruct the dynamics of new, unseen systems from sparse observations by training on a diverse set of synthetic systems.