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Using inbred medaka strains, the authors mapped 59 genetic loci linked to heart rate. Gene editing validated conserved genes affecting heart rate and morphology, highlighting the power of isogenic strains in uncovering mechanisms of cardiac traits and disease.

The molecular mechanisms underlying natural transformation remain poorly understood. Here, the authors use optical tweezers to show how the periplasmic DNA receptor ComEA drives the inward pulling of DNA by switching between oligomerization states.

Here, the authors leverage stable isotope and peptide analyses to show that some 18th century Māori individuals ate largely plant-based diets. This work aligns with Māori oral history and archaeological evidence, which points to sweet potato and taro cultivation as important for population growth and cultural change at the time.

Bpa (bacterial proteasome activator) is essential for Mycobacterium tuberculosis virulence, yet its structural heterogeneity and mode of substrate engagement have remained poorly understood. Here, the authors combine hydrogen/deuterium exchange mass spectrometry and solution NMR spectroscopy to elucidate Bpa assembly and its interaction with a model substrate.

Genome-wide analysis coupled with long-read sequencing identifies a repeat expansion in GOLGA8A associated with high risk for atypical frontotemporal lobar degeneration with ubiquitin-positive inclusions.

Longitudinal metatranscriptomics in a prospective cohort of 1,164 adults hospitalized for COVID-19 reveals that azithromycin offered no apparent anti-inflammatory benefit but enriched the respiratory microbiome with potential pathogens and antimicrobial resistance genes.

A high-resolution spectroscopic analysis reveals ultralow amounts of heavy elements in the star SDSS J0715−7334. The star originates from the Large Magellanic Cloud and probably formed directly after the first stars through dust cooling.

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.

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.

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 the adrenal cortex, cholesterol used for steroid production is stored in lipid droplets. The authors demonstrate here the importance of the transcription factor HHEX in maintaining glucocorticoid levels and protecting lipid droplets from androgen-induced lipid depletion.

In mice, DHPS supports the maturation, maintenance and function of tissue-resident macrophages via the polyamine–hypusine axis, with implications for macrophage-targeting therapies.

Biocatalysis of the chemotherapy drug, doxorubicin, relies on the cytochrome P450 DoxA, which is inefficient. Here, the authors ameliorated the biosynthetic limitations by identifying DoxA redox partners and DnrV, which prevents product inhibition, helping improve microbial production.

A global network of researchers was formed to investigate the role of human genetics in SARS-CoV-2 infection and COVID-19 severity; this paper reports 13 genome-wide significant loci and potentially actionable mechanisms in response to infection.

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.

Applications of optical laser-based techniques are limited by the long wavelengths of the lasers. Now, observations of phonons and thermal transport at nanometre length scales are reported with an all-hard X-ray transient-grating spectroscopy technique.

An analysis of 24,202 critical cases of COVID-19 identifies potentially druggable targets in inflammatory signalling (JAK1), monocyte–macrophage activation and endothelial permeability (PDE4A), immunometabolism (SLC2A5 and AK5), and host factors required for viral entry and replication (TMPRSS2 and RAB2A).

Targeting neurons that regulate energy balance may offer new approaches for obesity treatment. Here, authors show that chemogenetic and pharmacological manipulation of GABAergic neurons in the DRN/vlPAG increases adaptive thermogenesis and reduces weight gain in mice fed a highfat diet.

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.

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.

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.

Whole-genome sequencing, transcriptome-wide association and fine-mapping analyses in over 7,000 individuals with critical COVID-19 are used to identify 16 independent variants that are associated with severe illness in COVID-19.

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

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.

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.

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.

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.

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 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.

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.

Despite exhibiting ferroelectric features, SrTiO₃ fails to display long-range polar order at low temperatures due to quantum fluctuations. An ultrafast X-ray diffraction experiment now probes polar dynamics of this material at the nanometre scale.

This study detects Chlamydia pneumoniae in human retina and brain, increasing with AD severity. Retinal pathogen load with Aβ₄₂ may predict AD stage. In models, infection drives Aβ deposition and NLRP3 activation, worsening pathology and cognition.

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.

This study identifies key neurocognitive domains that distinguish patients with schizophrenia from healthy individuals using machine learning. Analyzing data from 1,304 participants, it demonstrates that verbal learning and emotion identification effectively classify conditions, promoting efficient neurocognitive profiling strategies.

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.

Cas9 DNA targeting is inherently sequence specific but not temporally controlled. Here, authors spatiotemporally couple Cas9 activity to target site transcription in eukaryotes and exploit this to preferentially edit the more highly transcribed of two alleles that harbor identical Cas9 targets.

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.

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.

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.

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.