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Here the authors show that gut metagenomes of Indigenous Australian infants living remotely, display greater diversity and abundance of bacteria, viruses and fungi, compared to non-Indigenous infants living in urban Australia, suggesting that while having access to Western foods, the infants start life with a gut microbiome that retains key features of pre-industrialized societies.

Here, the authors show robust edge state transport in patterned nanoribbon networks produced on epigraphene—graphene that is epitaxially grown on non-polar faces of SiC wafers. The edge state forms a zero-energy, one-dimensional ballistic network with dissipationless nodes at ribbon–ribbon junctions.

Identifying jets originating from heavy quarks plays a fundamental role in hadronic collider experiments. In this work, the ATLAS Collaboration describes and tests a transformer-based neural network architecture for jet flavour tagging based on low-level input and physics-inspired constraints.

Here the authors provide an explanation for 95% of examined predicted loss of function variants found in disease-associated haploinsufficient genes in the Genome Aggregation Database (gnomAD), underscoring the power of the presented analysis to minimize false assignments of disease risk.

Researchers use a chimeric approach to reveal the first near-atomic resolution structures the yellow fever virion, showing key differences between vaccine and virulent strains that affect how antibodies recognise and neutralise the virus.

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.

Here, the authors identify and characterize three gut bacterial enzyme families that metabolize endogenous and synthetic steroid hormones, showing to act on diverse substrates, to exhibit gene fusions, and gender-linked prevalence, opening avenues for studying mechanisms of microbial-mediated steroid metabolism and host hormonal physiology.

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).

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

The authors explore a lithography-like technique in roll-to-roll processing for high-throughput manufacturing of flexible thin-film micro-patterns. They introduce a sputtering-co-evaporation method that enhances both patterning and performance of Bi-Sb-Te-based thermoelectrics.

A phenotypic screen led to the identification of potent inhibitors of mouse BAK-driven apoptosis. The compounds interact with VDAC2 and stabilize its interaction with BAK, blocking apoptosis at an early stage to preserve long-term cell survival.

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.

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.

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.

BAX and BAK are pro-apoptotic proteins whose activity is essential for the action of many anti-cancer drugs and to suppress tumorigenesis. Here, the authors perform a genome-wide CRISPR/Cas9 screen and identify VDAC2 as a promoter of BAX-mediated apoptosis that is important for an efficient chemotherapeutic response and to suppress tumor formation.

Current muon beams have a phase-space volume that is too large for applications in muon colliders. Now, the reduction in the beam’s transverse emittance when passed through different absorbers in ionization cooling experiments is quantified.

A multi-ancestry genome-wide association study for age at menarche followed by fine mapping and downstream analysis implicates 665 pubertal timing genes, such as the G-protein-coupled receptor 83 (GPR83) and other genes expressed in the ovaries involved in the DNA damage response.

Acquired resistance limits the efficacy of PARP inhibitors (PARPi) in high grade serous ovarian cancer (HGSOC). Here, the authors show that inhibition of RNA polymerase I transcription using CX-5461 increases the therapeutic efficacy of PARPi and overcomes PARPi resistance in PDX models of HGSOC.

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.

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.

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.

Dimethyl fumarate (DMF) is an anti-inflammatory drug proposed as a treatment for COVID19. Here the results are reported from a randomised trial testing DMF treatment in 713 patients hospitalised with COVID-19. DMF was not associated with any improvement in day 5 outcomes.

A high-resolution, global atlas of mortality of children under five years of age between 2000 and 2017 highlights subnational geographical inequalities in the distribution, rates and absolute counts of child deaths by age.

A genome-wide association study in ~3 million individuals identifies 3,952 independent variants associated with educational attainment. A polygenic index explains 12–16% of variance for this trait and contributes to risk prediction for ten diseases.

Metabolism of oxidized sugars during inflammation has been implicated as a pathogen colonization factor. Here, the authors characterize oxidized sugar utilization pathways in commensal bacteria, identifying genes essential for oxidized sugar utilization in the commensal E. clostridioformis, where GarABC and GudL can functionally replace GudP and GarL in pathogenic E. coli.

Whole-genome sequencing, transcriptome-wide association and fine-mapping analyses in over 7,000 individuals with critical COVID-19 are used to identify 16 independent variants that are associated with severe illness in COVID-19.

Ru isotopes are proposed as tracers for core–mantle interaction on Earth, and anomalies for ocean island basalts from Hawaii are reported that have higher ε¹⁰⁰Ru than the ambient mantle.

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.