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Polygenic risk scores can help identify individuals at higher risk of type 2 diabetes. Here, the authors characterise a multi-ancestry score across nearly 900,000 people, showing that its predictive value depends on demographic and clinical context and extends to related traits and complications.

This study used multiplex serology to monitor multiple diseases simultaneously from a single serosurvey. Seroprevalence estimates were performed for five disease categories in Zambezia Province, Mozambique.

Different types of SETBP1 variants cause variable developmental syndromes with only partial clinical and functional overlaps. Here, the authors report that SETBP1 variants outside the degron region impair DNA-binding, transcription, and neuronal differentiation capacity and morphologies.

A study of several longitudinal birth cohorts and cross-sectional cohorts finds only moderate overlap in genetic variants between autism that is diagnosed earlier and that diagnosed later, so they may represent aetiologically different conditions.

Self-assembled multidomain supramolecular peptide hydrogels that engage in dynamic covalent bonding with small-molecule drugs and biologics are shown to offer sustained release, extend the activity, and maintain safe and potent drug levels in vivo.

The authors identify a single main-chain hydrogen bond required to keep GABA_A receptors closed in the absence of neurotransmitter. Electrophysiology and molecular dynamics simulations suggest disruption of this bond is a key component of channel opening during inhibitory synaptic signaling in the brain.

The role of autoantibodies in bullous pemphigoid (BP) and their impact on keratinocytes and the response to BP pathology remains underexplored. By leveraging transcriptomics analysis and large-scale protein assays, here the authors identify keratinocyte MyD88 as a regulator of the pro-inflammatory response in BP, uncovering the role of keratinocytes in this disease pathology.

Analysing camera-trap data of 163 mammal species before and after the onset of COVID-19 lockdowns, the authors show that responses to human activity are dependent on the degree to which the landscape is modified by humans, with carnivores being especially sensitive.

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.

When people recall a movie, their eye movements and brain activity resemble those observed during the viewing. These behavioral and neural reactivations are linked through a common process, likely reflecting the specific internal experiences that emerge in an instance of recall.

A combination of mouse model data and data from a randomized phase 2 trial in patients with breast cancer in remission demonstrates feasibility, safety and a reduction in residual tumor cells following treatment with hydroxychloroquine and/or everolimus.

A new, nearly complete fossil skull of Vegavis from the James Ross Basin, Antarctic Peninsula, provides insight into its feeding ecology and exhibits morphologies that support placement among waterfowl within crown-group birds.

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).

The archaeological site Shinfa-Metema 1 in the lowlands of northwest Ethiopia provides early evidence of intensive riverine-based foraging aided by the likely adoption of the bow and arrow.

Together with a companion paper, the generation of a transcriptomic atlas for the mouse lemur and analyses of example cell types establish this animal as a molecularly tractable primate model organism.

Ocampo et al. present several structures and the biochemical characterization of a compact Cas9 nuclease, shedding light on how these enzymes function and evolve.

Siles Alvarado and Schuler et al. examine the long-term dynamics of SARS-CoV-2 antibodies in individuals with varying COVID-19 severities over 12 months. While anti-N antibodies decline, anti-RBD antibodies persist, offering insights into the evolving immunity post-COVID.

Glycosylation of human IgG antibodies in bacterial hosts has proven challenging. Here, the authors identify a bacterial enzyme enabling E. coli to glycosylate IgGs at native sites, thereby advancing therapeutic antibody development in this host.

The Pliocene–early Pleistocene interval was characterized by climatic fluctuations. Here, the authors apply a bipartite network analysis to a database of planktic foraminifera, finding localized community restructuring through this interval.

Silane, which is a precursor to the sandy surfaces of rocky planets and dusty clouds on gas giants, is seen directly in another world—a low-metallicity brown dwarf in which oxidation is slow and gas mixing is fast.

An expert-elicitation process identifies current methodological barriers for monitoring terrestrial biodiversity, and how technological and procedural development of robotic and autonomous systems may contribute to overcoming these challenges.

Here, the authors discuss how spatial metabolomics could contribute to better understanding of cellular mechanisms in kidney health and disease, as well as the discovery of blood and urine biomarkers and drug targets for new therapies to halt kidney disease progression.

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.

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.

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

SCORPION is an algorithm to model gene regulatory networks based on single-cell data. The authors show that SCORPION outperforms other methods, accurately detects transcription factor activity and can potentially help with the discovery of disease markers.

The genome of the biofuel crop switchgrass (Panicum virgatum) reveals climate–gene–biomass associations that underlie adaptation in nature and will facilitate improvements of the yield of this crop for bioenergy production.

Study shows PTSD predisposition shares distinct genes and genomic regions with several cardiovascular conditions. Here the findings reveal neuronal, immune, and metabolic pathways, and repurposed drug targets that further the understanding of the comorbidity.

Feizpour et al. assess the utility of a high-performing Alzheimer’s disease (AD) blood test to discriminate AD disease stages. The blood test reliably detects Intermediate and Advanced stages of disease, and while the test is less effective at distinguishing Advanced stage alone, it may reduce reliance on expensive brain scans.

A high-bandwidth neuromotor interface offers performant out-of-the-box generalization across people.

An online training module that synergistically targets two different mindsets can reduce stress levels in adolescents in the context of social-evaluative stressors—stressful experiences in which individuals fear that others are judging them negatively.

Sedimentary osmium isotopes from the Gulf of Mexico indicate that after the Cretaceous-Paleogene impact, nutrients were supplied by hydrothermal activity for 700 kyr and may have contributed to the post-extinction recovery of the marine ecosystem

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.

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.

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.

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 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.

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.

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.

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.