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Energy-efficient, task-agnostic continual learning is a key challenge in Artificial Intelligence frameworks. Here, authors propose a hybrid neural network that emulates dual representations in corticohippocampal circuits, reducing the effect of catastrophic forgetting.

Targeted mass spectrometry enables reproducible and accurate lipid quantification but dedicated software tools to develop targeted lipidomics assays are lacking. Here, the authors develop a targeted lipidomics workbench and lipid knowledgebase for the streamlined generation of targeted assays.

An Fe^III/V redox mechanism in Li₄FeSbO₆ on delithiation without Fe^IV or oxygen formation with resistance to aging, high operating potential and low voltage hysteresis is demonstrated, with implications for Fe-based high-voltage applications.

The genes underlying stripe rust host specificity between wheat and barley remain unknown. Here, the authors report that Rps6, Rps7 and Rps8 determine host species specificity in barley at different stages of the pathogen lifecycle and the barley powdery mildew immune receptor Mla8 and Rps7 are the same gene.

Species interactions that can enhance habitat heterogeneity such as facilitation cascades of foundation species have been overlooked in biodiversity models. This study conducted 22 geographically distributed experiments in different ecosystems and biogeographical regions to assess the extent to which biodiversity is explained by three axes of habitat heterogeneity in facilitation cascades.

Junior researchers need to engage with policymakers, institutions, funders and media outlets to argue against planned budget cut-backs, warn Brian Cahill and Marco Masia.

The dorsal peduncular area of the mouse brain functions as a network hub that integrates diverse cortical and thalamic inputs to regulate neuroendocrine and autonomic responses.

Alternative stable states in forests have implications for the biosphere. Here, the authors combine forest biodiversity observations and simulations revealing that leaf types across temperate regions of the NH follow a bimodal distribution suggesting signatures of alternative forest states.

An RNA-binding protein on leukemia cells provides an effective target in mouse models.

This Consensus Statement presents the standards for technical reporting in environmental and host-associated microbiome studies (STREAMS) guidelines.

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.

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.

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.

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.

Antibodies that block the Wnt inhibitors sclerostin and DKK- 1 enhance bone formation and fracture repair. Here the authors show these monospecific antibodies induce compensatory mechanisms that limit efficacy, and have designed a sclerostin/DKK-1 bispecific antibody that promotes superior fracture repair in rodents and bone formation in primates.

Hyperactivation of the toll-like receptors (TLRs) have been implicated as risk factors for more severe forms of disease in COVID-19 and metabolic (dysfunction) associated fatty liver disease (MAFLD). Here the authors report that MBOAT7 is reduced in macrophages of patients with MAFLD and COVID-19, and acts as a negative regulator of TLR signalling.

Farmer livelihoods and food production are impacted by water shortages in many regions globally. These shortages can be mitigated by changing the mix of crops produced in water-scarce regions, potentially resulting in reduced irrigation needs of 28–57%.

The XRISM Resolve spectrum of the galactic neutron star X-ray binary, GX 13+1, reveals one of the densest winds ever seen in absorption lines.

Understanding the human antibody response to influenza A virus strains is important for vaccine development. Here, Creanga et al. generate a panel of 55 replication-deficient reporter viruses representing diversity of human H1N1 and H3N2, and pandemic subtypes and characterize the neutralization profile of 24 antibodies and polyclonal sera.

Despite the significance of mosquitos for human health, little research has focused on their phylogeny. Here, the authors present a resolved phylogenetic history of mosquitoes based on phylogenomics showing that these major disease vectors radiated coincidentally with geologic events and the diversification of their hosts.

Large language models (LLMs) can enhance experimental research via the design and implementation of studies, and data analysis. When available, we suggest using LLM-based tools that require no coding skills and only a simple human–AI interaction. We discuss the social risks associated with this integration.

Assessing the value of genomics is key to informing evidence-based policies; this Review outlines how current approaches to health technology assessment, implementation and data management can be adapted to suit the rapidly evolving technology and evidence base.

Fault tolerance is essential for reliable AI acceleration using novel memristive hardware. Yousuf et al. developed a training-free fault tolerance scheme and demonstrated on a 20,000-memristor prototyping platform that it outperforms other solutions.

Yu and colleagues leverage population-level data to construct a large-scale, geographically defined, inter-household social network. Using a multilevel network model, they show that having social ties in close geographic proximity is associated with stable household asset conditions, while geographically distant ties correlate to changes in asset allocation. Notably, they find that localised network interactions are associated with an increase in wealth inequality at the regional level, demonstrating how macro-level inequality may arise from micro-level social processes.

The GREGoR consortium provides foundational resources and substrates for the future of rare disease genomics.

A sound premise supporting the broadest possible claim is a valuable asset.

Neural networks fundamentally dictate function. Here, the authors show thirteen uniquely connected neuron populations within the anterior thalamic nuclei, suggesting multiple parallel subnetworks support its emotional and cognitive functions.

Samples of different body regions from hundreds of human donors are used to study how genetic variation influences gene expression levels in 44 disease-relevant tissues.

The effect of education on climate change risks is integral to the relation between climate and development, but difficult to quantify. This article finds potential increases in emissions as well as HDI values due to improved educational attainment in developing countries.

Tissue resident macrophages are intricately involved in homeostatic processes but also in tissue repair. Here Lee and colleagues show dermis-resident macrophages are a source of thymic stromal lymphopoietin and CCL24, which act on type 2 innate lymphoid cells and eosinophils respectively, to maintain their M2 properties and promote non-healing cutaneous leishmaniasis.