Search

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.

Engineered mucus-tethering bispecific nanobodies neutralize and entrap viruses to enhance mucosal immunity, preventing influenza infection and limiting SARS-CoV-2 transmission.

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.

Personal names vary across cultures. Here, the authors show how historical name systems share a common information structure, reflecting pressure for efficient communication, as well as laws changing these systems and introducing systematic bias.

Distinct membrane interaction dynamics between the two non-visual arrestin subtypes uncover new mechanistic insights into arrestin activation and highlight the essential role of membrane engagement.

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.

Until now, invisibility cloaks have only covered a region of a few wavelengths because of their nanostructured materials. Chenet al.describe a macroscopic cloak, made of calcite birefringent crystals, which works for a specific polarization at visible wavelengths.

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.

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.

mRNA vaccines targeting SARS-CoV-2 also sensitize tumours to immune checkpoint inhibitors.

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.

Much investment goes into improving police-community interactions, yet trust in police remains low. Here, the authors show that community members report feeling less threat and more trust when officers use transparency statements to start interactions.

Genome-wide association and fine-mapping analyses in ancestrally diverse populations implicate candidate causal genes and mechanisms underlying type 2 diabetes. Trans-ancestry genetic risk scores enhance transferability across populations.

Using simultaneous EEG-PET-MRI, this study reveals tightly coupled physiological dynamics during the descent from wakefulness into NREM sleep and identifies network-specific activity underlying sensory arousal in NREM sleep.

Genome-wide mapping of chromatin interactions reveals various levels of 3D genome organization. Here, the authors develop SNIPER, a computational method for identifying subcompartments using Hi-C data with moderate coverage.

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.

Genomic deletions in poxviruses are not well understood, the authors found large deletions in >2% of Mpox virus genomes during routine surveillance, highlighting their role in poxvirus evolution and potential impact on diagnostics and therapeutics.

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.

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.

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.

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 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.

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 report upconversion in few-layer transition metal dichalcogenides, and attribute it to a resonant exciton-exciton annihilation involving a pair of dark excitons with opposite momenta, followed by the spontaneous emission of upconverted bright excitons.

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.

MISO (MultI-modal Spatial Omics) integrates two or more spatial omics modalities, despite differences in data quality and spatial resolution for improved feature extraction and clustering to reveal biologically meaningful tissue organization.

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.

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.

Wastewater treatment plants are important reservoirs of antibiotic resistance genes (ARGs). Here, the authors analyze ARGs in a global collection of samples from wastewater treatment plants across six continents, providing insights into biotic and abiotic mechanisms that appear to control ARG diversity and distribution.

Here, the authors identify distinct gut microbiome and metabolome signatures in microscopic colitis, a condition causing chronic diarrhea, highlighting pro-inflammatory species and metabolites as potential non-invasive biomarkers and therapeutic targets.

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

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.

How changes in brain blood vessels lead to a chronic reduction in blood flow and, consequently, to vascular dementia is poorly understood. Here, the authors show that venous endothelial dysfunction driven by EPAS1 promotes abnormal vascular remodeling and contributes to cognitive decline.

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.

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.

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.

Andrew Morris, Mark McCarthy, Michael Boehnke and colleagues report a meta-analysis of genome-wide association studies for type 2 diabetes, including 26,488 cases and 83,964 controls from populations of European, east Asian, south Asian and Mexican and Mexican American ancestry. They identify seven loci newly associated with type 2 diabetes and examine the genetic architecture of disease across populations.

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.

A 1,024-channel microelectrode array is delivered to the brain cortex via a minimally invasive incision in the skull and dura, and allows recording, stimulation and neural decoding across large portions of the brain in porcine models and human neurosurgical patients.

Kyle Gaulton, Mark McCarthy, Andrew Morris and colleagues report fine mapping and genomic annotation of 39 established type 2 diabetes susceptibility loci. They find that the set of potential causal variants is enriched for overlap with FOXA2 binding sites in human islet and liver cells, and they show that a likely causal variant near MTNR1B increases FOXA2-bound enhancer activity, providing a molecular mechanism to explain the effect of this locus on disease risk.

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.

Implanting an electrode into the cortex activates microglia, triggers the foreign body response, and impedes intracortical brain-computer interface. Here, the authors apply low-intensity pulsed ultrasound stimulation (LIPUS) after probe insertion to reduce microglia-mediated neuroinflammation.

A ‘mouse atlas’, comprising single-cell transcriptomic data from more than 100,000 cells from 20 organs and tissues, has been created as a resource for cell biology.

Studying RNA dynamics in vivo often relies on fluorogenic approaches, but these can be hampered by factors such as limited sensitivity and sample autofluorescence. Here, the authors describe an ultrasensitive platform for RNA imaging, which features RNA tags that recruit light-emitting luciferase fragments.

An adversarial domain translation framework is presented for scalable integration of single-cell atlases across samples, technical platforms, data modalities and species.