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How inflammation spreads from the skin to the joints in psoriatic disease is unclear. Here, the authors show that joint-resident fibroblasts can control differentiation of infiltrating skin-derived myeloid precursors that can become inflammatory macrophages.

This study finds that crowd-sensed plants as living sensors uncover climate and soil patterns in 326 European cities; extend the urban heat island effect to moisture, pH, salinity and disturbance; and show built-up areas homogenize whereas urban forests preserve environmental diversity.

The ALICE Collaboration provides details on the microscopic mechanism that ends up creating antideuteron in high-energy proton–proton collisions at the Large Hadron Collider.

Spatial transcriptomic analysis of cells in intestinal fistulae of patients with Crohn’s disease reveals the existence of specialized fistula-associated cell states with distinct signalling profiles and extracellular matrix architecture.

Chronic care manages long-term, progressive conditions, while acute care handles short-term ones. Here, authors show chronic conditions account for most of the global health burden, with 68% of DALYs and 93% of YLDs attributed to chronic care needs.

A reinforcement learning-based virtual reality system, implementing a series of sport sessions with coaching, was as effective as standard physical activity in reducing fat mass in adolescents, with positive effects on cognition.

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.

In people with severe brain injuries, stimulation restored consciousness by engaging a deep brain circuit for wakefulness—revealing a target that may also guide treatment in stroke and epilepsy.

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.

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.

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.

Previous studies suggest that individual differences in intelligence correlate with circuit complexity and dendritic arborization in the brain. Here the authors use NODDI, a diffusion MRI technique, to confirm that neurite density and arborization are inversely related to measures of intelligence.

The bat sarbecovirus RaTG13 is a close relative of SARS-CoV-2, but its spike protein doesn’t efficiently bind human ACE2. Here, the authors show that exchange of spike residue 403 between RaTG13 and SARS-CoV-2 spike proteins affects binding to human ACE2 and entry of pseudotyped viruses.

The clinical success of anti- αEβ7 antibody Etrolizumab for Crohn’s disease is less than what is expected based on proof-of-concept studies. Here authors show, by characterization of T cells from Etrolizumab-treated patients, in vitro functional assays and reanalysis of public single cell datasets on Etrolizumab-treated patients, that at high level of T cell activation, which characterises T cells in Crohn’s disease, E-Cadherin-αEβ7 interactions become resistant to Etrolizumab inhibition.

Understanding molecule-surface interactions is key to neat on-surface synthesis of functional nanomaterials. Here, the authors measure interactions of metal surface atoms with CO-terminated tips to reveal their nature and reliable adsorption sites.

Time-resolved wide-angle X-ray scattering (TR-WAXS) using synchrotron radiation can be used to observe dynamic protein structural changes with nanosecond time resolution in solution, complementing time-resolved optical spectroscopy and Laue crystallography methods.

Microglial activation is critical for coordinating the immune response during neuroinflammation. Here, the authors demonstrate that the CD83 molecule intrinsically modulates microglial activity and restrains inflammatory processes in experimental autoimmune encephalomyelitis.

It is generally thought that complement activation in human membranous nephropathy (MN) occurs predominantly via the lectin or alternative pathway. Here, the authors show that the classical pathway is the dominant form of complement activation in MN and a pathogenic driver of the disease.

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.

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.

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.

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.

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.

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.

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.

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.

Analysis of macrophage subsets within joints reveals a population of CX₃CR1⁺ tissue-resident macrophages that form a tight-junction-mediated barrier at the synovial lining, protecting the joint from the invasion of inflammatory cells.

In a rat model of multiple sclerosis, β-synuclein-specific T cells induce inflammation and pathological changes in the grey matter of the central nervous system; these cells were also found in higher numbers in patients with multiple sclerosis, particularly those with a chronic progressive course.

Interferometric scattering microscopy is employed to track proteins in live cell membranes, demonstrating tracking of transmembrane epidermal growth factor receptors with nanometre precision in all three dimensions at up to microsecond speeds and for durations of tens of minutes.

Urinary albumin-to-creatinine ratio (UCAR) is associated with various clinical outcomes such as kidney disease and cardiovascular disease. Here, the authors report genome-wide meta-analysis in over 500,000 individuals and find 68 UACR loci, followed by statistical fine-mapping, gene prioritization and experimental validation in flies.

A meta-analysis of genome-wide association studies of type 2 diabetes (T2D) identifies more than 600 T2D-associated loci; integrating physiological trait and single-cell chromatin accessibility data at these loci sheds light on heterogeneity within the T2D phenotype.

Spatially resolved images of M87 obtained at a wavelength of 3.5 mm in 2018 show a ring-like accretion structure, the inner (outer) edge of which connects the black hole (jet).

Analysis of snRNA genes in individuals with rare disorders identifies de novo and recurrent variants in RNU5B-1 and RNU5A-1, in addition to previously unreported cases with pathogenic or likely pathogenic variants in RNU4-2.

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.

Dishevelled (DVL) is the key component of Wnt signaling pathway that acts as a signaling hub. Here, authors study the conformational dynamics of DVL3 in vivo using their engineered FlAsH-based FRET biosensors and describe how Wnt activation opens DVL and facilitates Frizzled recruitment.