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The role of the innate immune system in pancreatic cancer is largely unexplored. Here, the authors reveal a targetable cancer cell-intrinsic axis in pancreatic cancer comprising ASC inflammasome complexes that link innate immunity with mitochondrial function and metabolism.

The APOE-ε4 allele is the strongest genetic risk factor for late-onset Alzheimer’s disease, but it is not deterministic. Here, the authors show that common genetic variation changes how APOE-ε4 influences cognition.

Genome-wide association meta-analysis identifies 58 independent risk loci for major anxiety disorders among individuals of European ancestry and implicates GABAergic signaling as a potential mechanism underlying genetic risk for these disorders.

Here the authors compare genetic testing strategies in rare movement disorders, improve diagnostic yield with genome analysis, and establish CD99L2 as an X-linked spastic ataxia gene, showing that CD99L2–CAPN1 signaling disruption likely drives neurodegeneration.

A population genomic analysis of 1,854 Listeria soil isolates collected across the contiguous United States identifies geographically prevalent phylogroups with increased pangenome openness and recombination, as a result of adaptation to variable environments.

Human immunodeficiency virus (HIV)-associated gut microbiome dysbiosis correlates with systemic immunodeficiency and opportunistic gut infections. Faecal microbiome transplantation from people living with HIV with high peripheral CD4⁺ T cell counts improved intestinal immunity and protection against Cryptosporidium parvum in mice.

At La Fossa cone, Vulcano, Italy, alteration intensity, when categorized by color, correlates with rock weakening and past mass wasting events, as determined by drone mapping and in-situ strength surveys.

Plant traits drive ecosystem dynamics yet are challenging to map globally due to sparse measurements. Here, the authors combine crowdsourced biodiversity observations with Earth observation data to accurately map 31 plant traits at 1 km² resolution.

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.

Understanding biodiversity loss and achieving global commitments requires effective biodiversity monitoring. This Roadmap outlines the necessary steps to achieve a transnational European Biodiversity Observation Network built around Essential Biodiversity Variables, combining targeted sensing methods, spatial design, data sharing, data integration and modelling workflows, and coordinated governance to deliver policy-ready insights.

A specialized, open-source, retrieval-augmented language model is introduced for answering scientific queries and synthesizing literature, the responses of which are shown to be preferred by human evaluations over expert-written answers.

This Resource paper presents a global SARS-CoV-2 phylogenetic tree of 4,471,579 high-quality genomes consistently constructed by Viridian, an efficient amplicon-aware assembler.

Proactive disease prevention must play a larger role in public health strategies. This will require enhanced efforts to enable the development and use of preventive medicines at scale, for the right patient group at the right time. Here, we describe regulatory and drug development recommendations to help unlock the potential of disease prevention.

A low-cost robotic platform using mainly optical detection to quantify yields of products and by-products allows the analysis of multidimensional chemical reaction hyperspaces and networks much faster than is possible by human chemists.

Microbial carbon use efficiency is a strong predictor of soil organic carbon stocks. Here the authors reveal that the microbial growth rate is a more reliable and informative predictor, and that modelling approaches tend to overemphasize the role of biotic over abiotic controls compared to empirical data.

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.

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.

A cross-ancestry meta-analysis of genome-wide association studies identifies association signals for stroke and its subtypes at 89 (61 new) independent loci, reveals putative causal genes, highlighting F11, KLKB1, PROC, GP1BA, LAMC2 and VCAM1 as potential drug targets, and provides cross-ancestry integrative risk prediction.

Riverine systems help transfer mismanaged waste into the ocean, but riverine litter data are scarce. Using a database of riverine floating macrolitter across Europe, this study estimates that 307–925 million litter items—82% of which is plastic—are transferred annually from Europe into the ocean.

Reduced glomerular filtration rate (eGFR) is a hallmark of chronic kidney disease. Here, Pattaro et al. conduct a meta-analysis to discover several new loci associated with variation in eGFR and find that genes associated with eGFR loci often encode proteins potentially related to kidney development.

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.

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.

iGluSnFR4f and iGluSnFR4s are the latest generation of genetically encoded glutamate sensors. They are advantageous for detecting rapid dynamics and large population activity, respectively, as demonstrated in a variety of applications in the mouse brain.

Cornell et al. show that target cells with low cortical tension induce macrophages to preferentially trogocytose, or engulf in small fragments, whereas target cells with high cortical tension tend towards phagocytosis.

Hodgkin Reed Sternberg (HRS) cells and their surrounding microenvironment in Hodgkin lymphoma remain poorly characterized. Here, the authors perform genome-wide transcriptional profiling with spatial and single-cell resolution to explore the cellular and molecular composition of the Hodgkin lymphoma microenvironment and used machine learning to identify IL13 as a potential HRS cell survival factor.

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.

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.

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.

Immune features and T cell characteristics that correlate with post-intervention control of HIV-1 viraemia inform the development of combination immunotherapies that may enhance the ability to elicit durable HIV remission.

Meta-analysis of genome-wide association studies on Alzheimer’s disease and related dementias identifies new loci and enables generation of a new genetic risk score associated with the risk of future Alzheimer’s disease and dementia.

Trends in global H₂ sources and sinks are analysed from 1990 to 2020, and a comprehensive budget for the decade 2010–2020 is presented.

Multiancestry genome-wide association analyses identify new risk loci for stroke and stroke subtypes. Fine mapping and bioinformatics analyses of these risk loci point to mechanisms not previously implicated in stroke pathophysiology.

A variational autoencoder is trained on a dataset of quantum optics experiment configurations and learns an interpretable representation of the relationship between experiment setup and quantum entanglement. The approach can be used to explore new experiment designs with specific, highly entangled states.

Here the authors perform a gene knockout screen in myeloid cells, identifying 295 genes regulating interleukin-1β production, of which 57 lie in regions associated with inflammatory disease risk. The study sheds light on genetic control of interleukin-1β in inflammation, beyond previously known factors.

Genome-wide association analysis in over one million individuals of European ancestry identifies 2,103 independent genetic signals (including 113 new loci) associated with blood pressure traits.

This work introduces Deep-STARmap and Deep-RIBOmap, imaging-based sequencing platforms designed to profile transcriptional and translational activity in thick tissue blocks.

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

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.

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.

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.

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.

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.