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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).

High-depth sequencing of non-cancerous tissue from patients with metastatic cancer reveals single-base mutational signatures of alcohol, smoking and cancer treatments, and reveals how exogenous factors, including cancer therapies, affect somatic cell evolution.

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.

Population genetics analysis in a phylogenetic framework shows convergent evolution in the genomes of five brood-parasitic species, including selection on genes involved in spermatogenesis, sperm function and nervous system development.

Small proteins (<50 kDa) are difficult to resolve by cryo-EM due to low signal-to-noise ratios and alignment challenges. Here, authors engineered conformationally rigid antibody fragments (Rigid Fabs) enabling high-resolution cryo-EM structures of small (~20 kDa) proteins like KRAS.

Females are more sensitive to social exclusion and loneliness, risk factors for anxiety and stressrelated disorders. Here, the authors identified molecular signals in the amygdala that make females more susceptible to effects of chronic social isolation in mice.

Here, the authors examine the mechanisms behind cheatgrass’s successful invasion of North American ecosystems. Their genetic analyses and common garden experiments demonstrate that multiple introductions and migrations facilitated cheatgrass local adaptation.

Human challenge studies with SARS-CoV-2 have shown changes in the innate and adaptive immune response. Here the authors are examining potential correlates of infection in virus challenged recipients by assessing baseline immune parameters and how this predicts virus control.

This study introduces improvements to cryo-FIBSEM to enable the preparation of high-quality cryo-lamellae from complex plant samples. The 3D images of Casparian strips, suberin lamellae, and xylem vessel walls provide insights into cell wall architecture.

Rider, Grantham, Smith, Watson et al. integrate multiomic data from patients with psoriasis using dimensionality reduction and machine learning techniques. This approach identifies biological relationships between genetic background, clinical features and disease severity, providing insight into disease variability across individuals.

A combination of high-resolution spatial imaging, spatial proteomics and transcriptional data reveals sparse and heterogeneous bacterial signals in gliomas and brain metastases.

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.

Optimizations of X-ray nanotomography including the choice of resin allows high-resolution imaging of mouse brain tissue, approaching the resolution of volume electron microscopy. Since it does not require slicing the tissue, this technology may become an attractive alternative to current standard methods for connectomics.

This study explores the genetic structure of hepatitis C virus outbreaks in rural U.S communities affected by the opioid crisis. Analysis of intra-host viral populations from 692 participants reveals hidden transmission networks.

In this Expert Recommendation, a working group integrating diverse perspectives presents a comprehensive overview of the clinical relevance and applicability of the Cutaneous Lupus Erythematosus Disease Area and Severity Index (CLASI) and the rationale for its use as an outcome measure in clinical trials, addressing a long-standing roadblock in the development of new drugs for CLE.

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 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.

Steatotic liver disease (SLD), which might lead to cirrhosis and hepatocellular carcinoma, is on the rise worldwide. This Expert Recommendation draws on lessons learned to tackle viral hepatitis and proposes a framework for SLD screening and testing policies.

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.

Here, the authors provide molecular insight into the remarkable ability of Tardigrades to withstand high levels of radiation by demonstrating that their Dsup protein interacts with multiple surfaces of the nucleosome to protect the genome from oxidative DNA damage.

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.

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.

Oxidative catalytic depolymerization of polystyrene (PS) can produce benzoic acid, but the annual consumption of benzoic acid is ~40 times lower than PS, so benzoic acid should be converted to higher-volume chemicals for the process to be viable. Here, the authors report a hybrid chemical and biological process that uses PS as feedstock for production of adipic acid, a high-volume co-monomer for nylon 6,6, via benzoic acid.

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.

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.

Long COVID has heterogeneous presentation and clinical trajectories are not well defined. Here, the authors define trajectories using data from a prospective cohort study in the United States involving symptom questionnaires from acute infection up to 15 months.

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.

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.

Mass-wasting deposits that accumulated against mid-ocean ridge faults have high porosity in which calcium carbonate precipitated, storing seawater carbon dioxide, as revealed by cores of a 61-million-year-old seafloor talus deposit.

Covalent inhibitors are powerful entities in drug discovery. Now the amino acid selectivity and reactivity of a diverse electrophile library have been assessed proteome-wide using an unbiased workflow. This comparative analysis and the probes described could help guide the discovery and design of covalent ligands targeting residues beyond cysteine.

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.

In this study, the authors generated iPSC lines from more than 100 sporadic ALS cases, which recapitulated key disease phenotypes and enabled large-scale drug screening, identifying a promising combination therapy of baricitinib, memantine and riluzole.

Vaccine-derived poliovirus type 2 currently spreads similarly to historical poliovirus—unidirectionally across neighbouring countries at a median velocity of 2.3 km per day. International borders are associated with slower velocity when immunity is high.

Somatic mutations in blood cells (CHIP) are linked to diseases like heart disease, but the mechanisms are unclear. Here, the authors show that different CHIP driver genes alter unique sets of plasma proteins, some of which are validated in mouse models.

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.

Marine sponges host bacteria that produce diverse bioactive compounds. Here, the authors conduct a large-scale metagenomic, single-bacterial and biochemical study to reveal the untapped biosynthetic potential of ‘Entotheonella’ symbionts, a talented producer taxon from microbial dark matter.

A prospective analysis reveals that emergence of SARS-CoV-2 has had only a marginal impact on the immune response to spike protein of other endemic human coronaviruses and predicts limited cross protection against infection.

Antimicrobial resistance genes that have been mobilized between bacterial species represent a subset of the naturally occurring resistome. Here, the authors compare the abundance, diversity and geographical patterns of acquired resistance genes with latent resistance genes in global sewage metagenomes.

The paper analyzes the impact of omitting biophysical effects from carbon credits on climate mitigation. It shows that some Voluntary Carbon Market projects may result in net warming due to albedo while others enhance cooling.

Global shark and ray populations have declined sharply, driven by expanding fisheries and inequitable gaps in catch, trade and distribution data. This Review assesses global status, highlights drivers of decline, and outlines the regulatory, market-based and conservation actions needed to reduce mortality and reverse shark and ray biodiversity loss.

The host microbiome may influence asthma susceptibility differently across diverse geographic or ethnic populations. Here the authors perform a microbiome study of asthma in US Hispanic/Latino adults and evaluate the influence of obesity and genetic factors on the relationship between microbiome characteristics and asthma.

The evolution of cutaneous squamous cell carcinoma (cSCC) remains poorly understood. Here, the authors employ multi-omics and multi-scale analyses to explore the genetic evolution of keratinocytes to cSCC, finding key pathogenic mutations that break the resistance to ultraviolet radiation as well as spatial heterogeneity patterns.