Search

Deep mutational scanning of a recent human H3N2 influenza haemagglutinin identifies how epistasis and pleiotropy differentially constrain mutations that affect viral cell entry, acid stability and neutralization.

Convergent selection between crops can help to identify genetic variants with important roles in adaptation as a source of diversity for the improvement of cultivated species through the concept of inter-crop translational research for breeding.

High-voltage, anode-free sodium metal batteries combine high energy density and sustainability, but the lack of suitable electrolytes hinders their application. This work formulates an eco-friendly electrolyte design that supports exciting performance in such batteries.

Victor Albert, Petri Auvinen, Ykä Helariutta, Jaakko Kangasjärvi and colleagues report the reference genome of the silver birch (Betula pendula) and resequencing of 150 birch individuals. They infer past population size crashes consistent with historical periods of climatic change and identify candidate targets of more recent positive selection.

The Sun’s fiery surface, a tattooed tardigrade, rare red lightning and more.

Most studies of the genetics of the metabolome have been done in individuals of European descent. Here, the authors integrate genomics and metabolomics in Black individuals, highlighting the value of whole genome sequencing in diverse populations and linking circulating metabolites to human disease.

The specific energy and cycle life of rechargeable non-aqueous Na-based batteries are influenced by the type of electrolyte used. Here the authors propose a sulfonyl imide-rich electrolyte solution to improve the energy content and life span of various Na-based batteries.

B cell germinal centres achieve a balance between clonal expansion and sequence diversification by suppressing somatic hypermutation during proliferative clonal bursts.

In a post-hoc analysis of circulating tumor DNA (ctDNA) features from patients with metastatic prostate cancer treated with [¹⁷⁷Lu]Lu–PSMA-617 or cabazitaxel in the randomized phase 2 TheraP trial, low ctDNA levels at baseline were predictive of clinical benefit from [¹⁷⁷Lu]Lu–PSMA-617, and PTEN or ATM alterations were identified as potential biomarkers of response.

Ribbon synapses in our sensory nervous system are central to hearing and sight, yet little is known about how these synapses are assembled and maintained during development. In this study, authors use live imaging techniques to monitor ribbon appearance, loss and maintenance in a retinal circuit during development to show that nascent synapses comprising of both ribbons and PSD95 are more stable over time compared to contacts without ribbons.

Remote tumours cause liver dysfunction by releasing extracellular vesicles and particles containing palmitic acid, which induces TNF signalling in Kupffer cells, resulting in inflammation, fatty deposits and metabolic dysregulation, thus both reducing the efficacy and increasing the toxicity of chemotherapies.

A non-canonical tricarboxylic acid cycle is required for changes in cell state.

SARS-CoV-2 constantly evolves but the roles of resulting mutations are not always clear. In this study, the authors report that ORF8 knockout confers a fitness advantage to SARS-CoV-2 using genomic surveillance data, highlighting how different types of adaptations across the SARS-CoV-2 genome can drive variant fitness.

Iron deficiency is the leading cause of anaemia and is known to compromise immune function. Here, the authors identify several new genes associated with iron status in European populations and provide insight into how iron levels may be linked to the risk of metabolic disease.

Natural variation in the mouse gene Mutyh influences the rate of C>A germline mutations.

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.

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.

Sabeti et al. build on their This paper builds on previous work of detecting selection on human genes, using the many more markers available in the Phase II HapMap project. Three examples of apparent population-specific selection based on geographic area are described, and how these may relate to human biology is discussed.

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.

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.

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

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.

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.

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.

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.

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.

Researchers have measured the equation of state of hydrocarbon in a high-density regime, which is necessary for accurate modelling of the oscillations of white dwarf stars.

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.

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.

Neoplasms are microcosms of evolution. The evolution of neoplastic cells explains why we get cancer and why it has been so difficult to cure. Can evolutionary biology provide new insights into the clinical control of cancer?

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 Journal Club, Kelley Harris recalls a 2003 paper by Goriely et al. that identified interesting evolutionary forces acting on mutations that are beneficial for cells within our bodies but detrimental to the health of our children.

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.

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.

Induced pluripotent stem cells are shown to be useful for studying phenotypes relevant to familial and sporadic Alzheimer’s disease, even though it can take decades for the disease to manifest in patients.