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Understanding collective behaviour is an important aspect of managing the pandemic response. Here the authors show in a large global study that participants that reported identifying more strongly with their nation reported greater engagement in public health behaviours and support for public health policies in the context of the pandemic.

Analysis combining multiple global tree databases reveals that whether a ___location is invaded by non-native tree species depends on anthropogenic factors, but the severity of the invasion depends on the native species diversity.

Species’ traits and environmental conditions determine the abundance of tree species across the globe. Here, the authors find that dominant tree species are taller and have softer wood compared to rare species and that these trait differences are more strongly associated with temperature than water availability.

The authors show how to compute the autocorrelation function of FRET efficiencies and obtain dynamic information from as little as a few thousand molecules.

Literature produced inconsistent findings regarding the links between extreme weather events and climate policy support across regions, populations and events. This global study offers a holistic assessment of these relationships and highlights the role of subjective attribution.

Estimates of chikungunya virus prevalence across 180 countries and territories show that Southeast Asia, Africa and the Americas carry the most substantiative burden, which would require reactive vaccine campaigns against new outbreaks and routine immunization in heavily endemic areas to reduce transmission.

Hutchinson-Gilford Progeria Syndrome is characterized by premature aging with cardiovascular disease being the main cause of death. Here the authors show that inhibition of the NAT10 enzyme enhances cardiac function and fitness, and reduces age-related phenotypes in a mouse model of premature aging.

Gebhardt and colleagues developed a computational method using a naïve Bayes classifier to identify optimal protein labelling sites. Their analysis of 100+ proteins revealed four predictive parameters, leading to a Python package and a web-tool for protein structure analysis and labelling score calculations.

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.

Rinnerthaler et al. perform a randomized phase 2 trial of neoadjuvant atezolizumab in combination with dual HER2 blockade plus epirubicin in patients with early HER2-positive breast cancer and report positively on efficacy and safety.

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.

Examining drivers of the latitudinal biodiversity gradient in a global database of local tree species richness, the authors show that co-limitation by multiple environmental and anthropogenic factors causes steeper increases in richness with latitude in tropical versus temperate and boreal zones.

Wood density is an important plant trait. Data from 1.1 million forest inventory plots and 10,703 tree species show a latitudinal gradient in wood density, with temperature and soil moisture explaining variation at the global scale and disturbance also having a role at the local level.

This study reveals that in people with first episode of psychosis receiving oral antipsychotic medication, switching to long-acting injectable antipsychotic therapy may reduce psychotic relapses, especially in vulnerable subgroups, such as those with prior relapses or non-adherence to antipsychotic medication.

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.

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.

Analyses of 475 ancient horse genomes show modern horses emerged around 2200 bce, coinciding with sudden expansion across Eurasia, refuting the narrative of large horse herds accompanying earlier migrations of steppe peoples across Europe.

The development of asthma following eczema is known as the atopic march. Here the authors conduct a GWAS on affected children and identify two novel loci associated with the disease phenotype.

What is the state of trust in scientists around the world? To answer this question, the authors surveyed 71,922 respondents in 68 countries and found that trust in scientists is moderately high.

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.

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.

Aberrant redox homeostasis links lipid metabolism and cell death programs. Here, authors reveal how cell stress reduces growth factor signaling, enriching polyunsaturated fatty acids in phospholipids and sensitizing membranes to oxidative damage.

Inventory data from more than 1 million trees across African, Amazonian and Southeast Asian tropical forests suggests that, despite their high diversity, just 1,053 species, representing a consistent ~2.2% of tropical tree species in each region, constitute half of Earth’s 800 billion tropical trees.

Using the Tara Oceans dataset, this study describes global patterns of diatom diversity, abundance and adaptation. The authors identify 25 distinct communities, with the Arctic as a hotspot, and highlight diatom transcriptional features. These insights aid understanding of the ecological roles of diatoms and their responses to global change.

Analysis of ground-sourced and satellite-derived models reveals a global forest carbon potential of 226 Gt outside agricultural and urban lands, with a difference of only 12% across these modelling approaches.

Lipid concentration in the serum is one of the most important risk factors for coronary artery disease and can be targeted for therapeutic intervention. A genome-wide association study in >100,000 individuals of European ancestry now finds 95 significantly associated loci that also affect lipid traits in non-European populations. Among associated loci are those involved in cholesterol metabolism, known targets of cholesterol-lowering drugs and those that contribute to normal variation in lipid traits and to extreme lipid phenotypes.

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.

The advantage of living in cities compared with rural areas with respect to height and BMI in children and adolescents has generally become smaller globally from 1990 to 2020, except in sub-Saharan Africa.

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.

Variations in expression of the gene ORMDL3 were found to be associated with development of childhood asthma, suggesting this gene should be examined in more patient groups.

In a post-approval study including more than 17,000 patients on the safety of pulsed field ablation, a new method for treatment of atrial fibrillation, the procedure was found to have a low rate of adverse events but was associated with some unexpected rare complications that will need further study.

FLiP–MS uses a library of protein–protein interaction markers to understand protein complex dynamics.

Here, the structure of SLC19A3, an essential human transport protein for vitamin B₁, has been determined in different conformations and bound to its substrate and different drug molecules. The researchers provide deep molecular insights into the transport cycle and drug interactions of this critical protein.

Mechanical unfolding of huntingtin mRNA with optical tweezers reveals how CAG repeat expansion triggers base pair reshuffling and favors RNA aggregation that is a hallmark of Huntington’s Disease.

Two Co single crystal surfaces remain metallic up to 1 bar during Fischer-Tropsch synthesis. The observed intermediates support the carbide mechanism as the reaction pathway. By adding and removing CO we can follow the dynamics of the (dis)appearance of intermediates.

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.

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.

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.