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How musical expertise impacts the brain’s processing of complex musical information remains unclear. Using generative music models, this study reveals that musicians display enhanced disentangled and contextual neural encoding of music.

Approaches making virtual and experimental screening more resource-efficient are vital for identifying effective inhibitors from a vast pool of potential drugs but remain elusive. Here, the authors address this issue by developing an active learning framework leveraging high-throughput molecular dynamics simulations to identify potential inhibitors for therapeutic applications.

This genomic study of magnetic resonance imaging-based brain age in 56,348 people identifies 59 genetic loci, links brain aging to mental and physical health, and suggests high blood pressure and type 2 diabetes as causal factors of brain aging.

Integrated multi-omic analyses using samples from the TRACERx study highlight cross-talk between DNA hypermethylation and genomic lesions in non-small cell lung cancer.

Above-bandgap femtosecond laser pulses generate a coherent phonon flatband in a GaAs/AlAs superlattice captured using ultrafast X-ray diffraction, providing a way to control atomic vibrations for future electronic and quantum technologies.

Using SCN2A haploinsufficiency as a proof-of-concept, upregulation of the existing functional gene copy through CRISPR activation was able to rescue neurological-associated phenotypes in Scn2a haploinsufficient mice and human neurons.

Meta-analyses often rely on reported precision to weigh studies. Here, the authors show that such precision can be overstated, and introduce a method that reduces the resulting bias, using sample size as an instrument for reported precision.

IκBζ is a rather unknown transcriptional co-factor of NF-κB. Here, the authors show that constitutive IκBζ expression in a subgroup of patients with melanoma drives immunotherapy resistance and enhanced tumor growth.

The number of individuals in a given space influences animal interactions and network dynamics. Here the authors identify general rules underlying density dependence in animal networks and reveal some fundamental differences between spatial and social dynamics.

Precise CRISPR-based gene knock-in is often limited by variable efficiency across sgRNAs. Here, the authors develop ChemiCATI, a universal strategy combining Polq knockdown and AZD7648 treatment, enabling efficient and predictable integration across multiple loci in mouse embryos.

Genome-wide analyses identify 30 independent loci associated with obsessive–compulsive disorder, highlighting genetic overlap with other psychiatric disorders and implicating putative effector genes and cell types contributing to its etiology.

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 role of glutamate-driven inhibition in neural computations and animal behavior is not fully understood. This study reveals that group III metabotropic glutamate receptors (mGluRs) mediate inhibition in the habenula, shaping sensory processing and defensive behaviors, highlighting a key role for glutamate-driven inhibition in the brain.

Here, the authors reveal that the ATP-dependent unfoldase ClpX is a key driver of fluconazole resistance in Cryptococcus neoformans, and show that targeting ClpX restores drug susceptibility, offering a potential therapeutic strategy to reverse antifungal resistance and to render current drugs effective.

The ability to resist compaction has widespread implications for reverse osmosis (RO) membrane technology. Here the authors present a class of thin-film crosslinked composite reverse osmosis membranes that resist physical compaction at ultrahigh pressures.

Using well-calibrated statistical methods the authors jointly analyze Undiagnosed Diseases Network genomes, identifying known and novel disease genes. Software is publicly available to support future cross-cohort rare disease discovery efforts.

Federated learning (FL) algorithms have emerged as a promising solution to train models for healthcare imaging across institutions while preserving privacy. Here, the authors describe the Federated Tumor Segmentation (FeTS) challenge for the decentralised benchmarking of FL algorithms and evaluation of Healthcare AI algorithm generalizability in real-world cancer imaging datasets.

An expert recommendation is presented for the design and evaluation of research studies using transcranial electrical stimulation, resulting in the selection of a 66-point checklist aimed at improving the quality of transcranial electrical stimulation studies.

Extracellular matrix (ECM) remodeling is a hallmark of fibrosis thought to be driven by mesenchymal cells. Here, the authors discover that YAP-TEAD/LOX axis is activated in distal lung epithelial cells, which contributes to ECM remodeling in pre-clinical models of pulmonary fibrosis.

Volatiles such as water play a key role in magma ascent and ultimately triggering explosive eruptions. Here, the authors show that water-rich melts with water concentrations of 6–9 wt.% can ascend rapidly to the surface over the timescales of hours to days with very short warning times.

A direct proxy for past dissolved organic carbon signatures using co-precipitated organic carbon in iron ooids enables reconstruction of marine dissolved organic carbon signals dating back to the Palaeoproterozoic.

In 2022, mpox predominantly spread through sexual contact, necessitating updated prevention strategies. Here, the authors show that rectal challenge in male cynomolgus macaques with a 2022 clade IIb MPXV isolate mimics sexual transmission, and that vaccination with modified-vaccinia Ankara protects pre- but not post-exposure.

Using sequencing and haplotype-resolved assembly of 65 diverse human genomes, complex regions including the major histocompatibility complex and centromeres are analysed.

A connectome of the right optic lobe from a male fruitfly is presented together with an extensive collection of genetic drivers matched to a comprehensive neuron-type catalogue.

Planting diverse forests is widely promoted as a way to counter climate change and improve ecosystem functioning. This study finds that the spatial arrangement of tree species matters: forests with higher spatial mixing of tree species yield greater biomass, faster nutrient cycling, and thus enhanced ecosystem functioning.

Natural products have historically made a major contribution to pharmacotherapy, but also present challenges for drug discovery, such as technical barriers to screening, isolation, characterization and optimization. This Review discusses recent technological developments — including improved analytical tools, genome mining and engineering strategies, and microbial culturing advances — that are enabling a revitalization of natural product-based drug discovery.

This study establishes how aperiodic activity, a ubiquitous signal linked to neural noise, develops in localized brain regions and illuminates the development of prefrontal control during adolescence in the development of attention and memory.

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.

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

This study reveals that CO₂-concentrating mechanism (CCM) and photorespiration operate jointly in green algae, challenging the long-held belief that photorespiration is suppressed by CCM, reshaping our understanding of algal physiology and carbon metabolism.

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.

This study used fine-mapping to analyze genetic regions associated with bipolar disorder, identifying specific risk genes and providing new insights into the biology of the condition that may guide future research and treatment approaches.

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.

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.

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.

The authors evaluate heritable genetic variation in thermal tolerance in a common reef-building coral. They show widespread heritable genetic variation, which is strongly associated with marine heatwave-imposed selective pressure, suggesting adaptation to climate warming.

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.