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How white matter develops along the length of major tracts in humans remains unknown. Here, the authors identify fundamental patterns of human white matter development along distinct axes that reflect brain organization.

cellSTAAR advances noncoding rare variant association analysis by integrating single-cell genomics 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.

Engineered mucus-tethering bispecific nanobodies neutralize and entrap viruses to enhance mucosal immunity, preventing influenza infection and limiting SARS-CoV-2 transmission.

Floquet engineering is often limited by weak light–matter coupling and heating. Now it is shown that exciton-driven fields in monolayer semiconductors produce stronger, longer-lived Floquet effects and reveal hybridization linked to excitonic phases.

Vassy, Dornisch and colleagues developed a genomics-based prostate cancer risk model to support a randomized clinical trial of precision screening in a national healthcare system.

Analysis of a placebo-controlled trial of a BCMA-targeting CAR-T cell therapy in patients with myasthenia gravis shows that CAR-T cell infusion selectively remodels the systemic immune environment, with elimination of BCMA-high plasma cells and activated plasmacytoid dendritic cells and changes in the autoreactive B cell repertoire.

Projected impacts of climate change on malaria burden in Africa by 2050 highlight the urgent need for climate-resilient malaria control strategies and robust emergency response systems to safeguard progress towards malaria eradication.

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.

Newly developed mouse models that enable cell-specific analyses of proteostasis dynamics across the lifespan of the mice reveal key aspects of neuronal proteostasis with ageing.

The existing ENCODE registry of candidate human and mouse cis-regulatory elements is expanded with the addition of new ENCODE data, integrating new functional data as well as new cell and tissue types.

Many premalignant colorectal polyps in familial adenomatous polyposis arise polyclonally rather than from a single mutated cell, showing diverse early evolutionary trajectories that frequently occur without clonal APC or KRAS driver events.

T cells can recognise lipid antigen in the context of CD1d molecules. Here, the authors show that γδ T cell activation in response to CD1d differs from that of αβ T cells and determine the structure of a γδ T cell receptor that binds to CD1d independently of the presented lipid.

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.

Chure et al. analyse experimental data to show that E. coli bacteria maintain stable protein density ratios between cytoplasm and membranes. In addition, they develop a biophysical model that predicts surface-to-volume ratio from ribosomal content and protein partitioning across cell compartments.

Vinyl acetate is an important polymer building block, but the mechanisms governing its catalytic production are not well understood. This study shows that dynamic palladium-acetate clusters determine catalyst efficiency and selectivity in vinyl acetate synthesis.

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 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.

Grosjean et al. present a network-aware, self-supervised learning approach for screening neuronal activity dynamics. They demonstrate its applicability across a range of neural interventions.

A 15-year prospective cohort study found that during times of social unrest in Hong Kong, people experienced more conflicts with family and friends and this coincided with the use of social media—these factors were also associated with higher levels of depression.

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 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.

Wang, Xiao and colleagues develop and validate organ-specific proteomic aging clocks across large population cohorts in the UK, the USA and China, which show strong performance in tracking organ aging and predicting the risk of morbidity and mortality.

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.

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.

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.

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.

Ewing sarcoma (ES) is driven by the oncogenic fusion-protein EWSR1::FLI1. Here the authors identify that a galactosyltransferase C1GALT1 stabilizes Smoothened protein to activate Hedgehog signaling and promote EWSR1::FLI1 transcription in ES cells, which could be therapeutically targeted by an anti-fungal drug itraconazole that inhibits C1GALT1.

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.

Polygenic scores for body mass index and obesity constructed using data from 5 million people with different ancestries were associated with distinct weight gain trajectories from early childhood to adulthood.

MultiSTAAR provides a general and flexible statistical framework for functionally informed multi-trait rare variant analysis of biobank-scale sequencing studies by jointly analyzing multiple traits and incorporating annotation information.

SARS-CoV-2 Omicron XEC variant, a recombinant of JN.1 progeny, shows increased viral fitness and pathogenicity. Here, the authors show that the nucleocapsid mutation R204P enhances inflammation and suggest a growing role of non-spike mutations in viral evolution.

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.

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

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 show that the CD4 mimetic CJF-III-288 stabilizes HIV-1 Env in an asymmetric “open” State-3 conformation, guiding anti-CoRBS antibodies to boost ADCC against infected cells and delay viral rebound in vivo, underscoring therapeutic promise.

A multi-institute, multi-platform initiative generates standard metrics and best practices for spatial transcriptomics analysis.

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.

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.

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.

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.

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.

Vinyard et al. present a generative method to model cell dynamics using neural stochastic differential equations that learn state-dependent drift and diffusion, outperforming existing approaches and enabling perturbation studies of development and disease.

Hic-5 drives epithelial mechanotransduction linking bronchoconstriction to asthma pathogenesis and reinforces a feed-forward bronchoconstriction loop through endothelin-1, thereby establishing dysregulated mechanical forces as active drivers of disease

Together with a companion paper, molecular details of immune responses in a pig-to-human xenotransplantation are identified through dense longitudinal multi-omics profiling of the xenograft and the host recipient, across the 61-day procedure.