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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.

Affinity-proteomics platforms often yield poorly correlated measurements. Here, the authors show that protein-altering variants drive a portion of inter-platform inconsistency and that accounting for genetic variants can improve concordance of protein measures and phenotypic associations across ancestries.

Taveneau et al. leverage artificial-intelligence-driven protein design to create inhibitors that control RNA-targeting enzymes in cells, revealing a strategy to rapidly design off-switches for RNA-editing systems.

Climate change can alter when and how animals grow, breed, and migrate, but it is unclear whether this allows populations to persist. This global study shows that shifts in seasonal timing are key to helping vertebrate species maintain population growth under global warming.

The systemic discovery of metal–small-molecule complexes from biological samples is a difficult challenge. Now, a method based on liquid chromatography and native electrospray ionization mass spectrometry has been developed. The approach uses post-column pH adjustment and metal infusion combined with ion identity molecular networking, and a rule-based informatics workflow, to interrogate small-molecule–metal binding.

In this study, authors employ fragment-based lead discovery to identify WRN inhibitors. The fragment hits reveal an additional allosteric pocket and uncover a previously uncharacterized structural conformation of the WRN helicase domain with unique orientations of the ATPase domains

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.

Genomic analyses applied to 14 childhood- and adult-onset psychiatric disorders identifies five underlying genomic factors that explain the majority of the genetic variance of the individual disorders.

Integrated single-cell and spatial data analysis, combined with bidirectional CRISPR screens, identify the transcription factor GLIS3 as a key driver of chronic inflammation and fibrosis and a potential marker of disease severity in patients with ulcerative colitis.

RNA polymerase III transcribes essential non-coding RNAs, but many aspects of this biology remain unclear. Here, the authors develop DRAP3R, a nanopore sequencing method that captures Pol III transcripts and RNA modifications, revealing new RNAs and dynamic modification patterns.

In an arm of an ongoing multicenter phase 2 trial testing different therapies in patients with genetically profiled grade 2 or 3 meningiomas, treatment with an oral CDK4/6 inhibitor met the primary endpoint for progression-free survival at 6 months in patients with CDK or NF2 alterations.

SmartEM is a ‘smart’ pipeline for electron microscopy-based data acquisition for connectomics. In order to efficiently image large datasets, the approach involves imaging at short pixel dwell times and identifying problematic regions that are then imaged with longer dwell times and therefore higher quality.

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 impact of variants of uncertain significance (VUS) on protein function and cancer risk remain unclear. Here, the authors focus on the functional impact of VUS of the PALB2 gene and identify defects in DNA damage repair by homologous recombination associated with increased risk of breast cancer.

Mapping of the neutrophil compartment using single-cell transcriptional data from multiple physiological and patological states reveals its organizational architecture and how cell state dynamics and trajectories vary during health, inflammation and cancer.

This study estimates construction-related emissions and carbon budgets for over 1,000 cities worldwide. Through quantitative analysis and an accessible open dashboard, this study empowers city stakeholders to craft science-based strategies for aligning future construction growth with climate goals.

Somatic small variants in cancer genomes are identified in both short-read and long-read data.

Estimates from the Global Burden of Disease study reveal declines in chronic respiratory disease mortality between 1990 and 2023—especially during the COVID-19 pandemic—but the burdens on people affected remain substantial.

An initial draft of the human pangenome is presented and made publicly available by the Human Pangenome Reference Consortium; the draft contains 94 de novo haplotype assemblies from 47 ancestrally diverse individuals.

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.

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.

Here they combine in vivo imaging with proteomics to characterize a protein complex comprised of Ccdc78 and Ccdc33 that acts at the extreme distal tip of 9 + 2 motile cilia to control tip architecture, cilia length, and cilia beating.

Profiling RNA modifications is essential to understanding their functions. Here, authors present DirectRM, a nanopore sequencing analytical tool that simultaneously detects six RNA modifications, revealing that modifications cluster at the transcript level but exclude each other on individual RNA molecules.

A DNA sequencing method with single-molecule fidelity detects mismatches and damage present in only one of the two DNA strands with patterns that are both similar and distinct compared to known mutation patterns.

A study reports whole-genome sequences for 490,640 participants from the UK Biobank and combines these data with phenotypic data to provide new insights into the relationship between human variation and sequence variation.

In the nematode C. elegans, cohesin creates specifically at active enhancers chromatin 3D structures named fountains. Cohesin artificial cleavage disrupts fountains and changes neuronal gene expression, function and animal behavior.

Wegner et al. apply machine learning to video recordings of walking tasks in people with ataxia and healthy controls using sensor-free motion capture. Their models replicate clinical ratings and detect subtle longitudinal gait changes that are challenging to capture in standard assessments, supporting improved monitoring of disease progression.

Hepatitis C virus (HCV) variability and its phenotypic consequences aren’t well studied in relation to viral replication fitness and disease severity. Here, the authors identify a replication-enhancing domain in non-structural protein 5A, linking high replication fitness to severe disease outcomes, with implications for understanding HCV pathogenesis in immunocompromised patients.

A high-resolution transcriptomic and epigenomic cell-type atlas of the developing mouse visual cortex from embryonic to postnatal development is presented, providing a real-time dynamic molecular map associated with individual cell types and specific developmental events.

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.

Population genomics of European woodland strawberry reveal distinct western and eastern genetic clusters with contrasting demographic histories across multiple glacial-interglacial cycles.

Graph neural networks built on physically motivated representations enable gradient-based optimization of complex upconverting nanoparticle heterostructures, revealing photophysical design rules and a roadmap for deep learning in nanoscience.

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.

Here, in an open-label pilot trial, the authors show that multi-donor fecal microbiota transfer in young women with anorexia nervosa was well tolerated and led to lasting changes in gut bacteria, supporting further research on microbiome-based treatments.

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.

Roles of of viruses in ocean subsurface oxygen maxima are unclear. Here, the authors analyse Bermuda Atlantic Time Series data to show that viruses may drive SOM in stratified oceans by boosting nutrient recycling and phytoplankton productivity linking virus activity to oxygen buildup and a stronger microbial loop.

MetaGraph enables scalable indexing of large sets of DNA, RNA or protein sequences using annotated de Bruijn graphs.

The goals, resources and design of the NHLBI Trans-Omics for Precision Medicine (TOPMed) programme are described, and analyses of rare variants detected in the first 53,831 samples provide insights into mutational processes and recent human evolutionary history.

Here the authors use a genome-wide approach to identify genetic variants associated with RNA isoform variation, uncovering new links between transcriptional regulation and complex traits. The findings can advance understanding of disease mechanisms.

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.

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.

RNA G-quadruplexes (rG4s) are structures formed in guanine-rich regions of RNA that can serve as crucial regulatory elements in gene expression. Here the authors present an RNA language model for transcriptome-wide prediction of rG4s and genetic variants that disrupt or create them.

Single-molecule chromatin fiber sequencing exposes single-cell-level heterogeneity in the chromatin architecture of individual regulatory elements.

Chronic care manages long-term, progressive conditions, while acute care handles short-term ones. Here, authors show chronic conditions account for most of the global health burden, with 68% of DALYs and 93% of YLDs attributed to chronic care needs.

A flexible micro-electrocorticography brain–computer interface that integrates a 256 × 256 array of electrodes, signal processing, data telemetry and wireless powering on a single complementary metal–oxide–semiconductor substrate can provide stable, chronic in vivo recordings.

Tumor–normal paired DNA samples from a breast cancer cell line and a matched lymphoblastoid cell line enable calibration of clinical sequencing pipelines and benchmarking ‘tumor-only’ or ‘matched tumor–normal’ analyses.