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Gestational exposure of mice to the obesogen tributyltin alters 3-D chromatin interactions in primordial germ cells leading to stable reduction of hepatic Ide expression and predisposing male descendants to insulin dysregulation and obesity.

Large-effect variants in autism remain elusive. Here, the authors use long-read sequencing to assemble phased genomes for 189 individuals, identifying pathogenic variants in TBL1XR1, MECP2, and SYNGAP1, plus nine candidate structural variants missed by short-read methods.

This study uses single-nucleus RNA sequencing to analyze lung tissue from 141 individuals with chronic obstructive pulmonary disease. Distinct patterns of spatially resolved changes in cell composition and cell states that correlate with clinical features are highlighted.

Humanity’s Last Exam, a multi-modal benchmark at the frontier of human knowledge, is designed to be an expert-level closed-ended academic benchmark with broad subject coverage.

Therapeutic gene editing in vivo is an ongoing challenge. Here, authors demonstrate Cas9 nickase guided DNA ligation as a nonviral method for installing permanent genomic corrections with favorable on target edit profiles in model animal cell types and adult mice.

Metagenomes from prairie soils in Kansas, USA, show how historical exposure to water stress impacts soil microorganisms and subsequently drought responses in plants.

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.

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.

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.

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.

Here the authors reveal how replication stress in BRCA2-deficient cells triggers a mutagenic cycle of APOBEC3B upregulation, uracil accumulation at stalled forks, and DNA damage, uncovering a self-reinforcing loop that fuels genomic instability.

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.

Translation initiation and elongation factors can be targets for cancer treatment. Here, the authors show that inhibiting translation elongation through eIF5A impairs mitochondrial function, slowing the proliferation of tumour cells.

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.

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.

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.

The metastatic potential of patients following breast cancer neoadjuvant therapy is highly variable. Here, the authors demonstrated the predictive and prognostic value of ctDNA in 723 patients with high-risk early-stage breast cancer using serial analysis.

How chemotherapeutic nucleoside 6-thio-2’-deoxyguanosine (6-thiodG) targets telomerase to inhibit telomere maintenance in cancer cells and tumors was unclear. Here, the authors show that telomere length and telomerase status determine 6-thio-dG sensitivity and uncover the molecular mechanism by which 6-thio-dG selectively inhibits telomerase synthesis of telomeric DNA.

The role of rare pathogenic/likely pathogenic (P/LP) germline variants in pediatric central nervous system (CNS) tumour development remains poorly understood. Here, the authors investigate the prevalence and clinical significance of germline P/LP variants in cancer predisposition genes across 830 CNS tumour patients.

Lithium-oxygen batteries can deliver high-energy densities, but capacity, rate performance and cycle life are still critical issues. Oh et al.report biologically templated synthesis of manganese oxide nanowires, which exhibit excellent electrochemical performance and cost-efficiency.

Genome-wide association studies (GWAS) have improved our understanding of the genetic basis of lung adenocarcinoma but known susceptibility variants explain only a small fraction of the familial risk. Here, the authors perform a two-stage GWAS and report 12 novel genetic loci associated with lung adenocarcinoma in East Asians.

Wastewater-based surveillance tends to focus on specific pathogens. Here, the authors mapped the wastewater virome from 62 cities worldwide to identify over 2,500 viruses, revealing city-specific virome fingerprints and showing that wastewater metagenomics enables early detection of emerging viruses.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Analysis of soundscape data from 139 globally distributed sites reveals that sounds of biological origin exhibit predictable rhythms depending on location and season, whereas sounds of anthropogenic origin are less predictable. Comparisons between paired urban–rural sites show that urban green spaces are noisier and dominated by sounds of technological origin.

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.

The study reports a metal-organic framework (MOF) - covalent organic framework (COF) nanocomposite with dual amine sites that captures CO₂ efficiently and remains stable under humid, harsh conditions, offering a promising path for next-generation carbon capture.

Cell type labelling in single-cell datasets remains a major bottleneck. Here, the authors present AnnDictionary, an open-source toolkit that enables atlas-scale analysis and provides the first benchmark of LLMs for de novo cell type annotation from marker genes, showing high accuracy at low cost.

Nguyen et al. show that the splenic environment provides sequential signals via lymphotoxin and retinoic acid that guide cDC2A development and retention.

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.