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Pathological neovascularization is a leading cause of vision loss. In this study, the authors identify FRZB and its NTR domain as suppressors of ocular angiogenesis. FRZB prevents CAV1 phosphorylation at Tyr42 which enhances downstream TGFβ signaling via ALK5 retention.

Data storage using proteins offers high capacity and stability, however, expressing unnatural proteins with random sequences often fails. Here the authors encode digital data into amino acid sequences based on collagen-like protein templates to allow stable data storage and retrieval.

The Taiwan Precision Medicine Initiative (TPMI) has built a cohort of more than half a million individuals with Han Chinese ancestry, providing a rich resource of genetic and medical data for this group.

Semaglutide, a GLP-1 receptor agonist, may offer neuroprotective benefits after stroke, but its effects in large vessel occlusion (LVO) are unknown. Here the authors show, in a phase 2 randomized trial, that semaglutide is safe after endovascular therapy and may improve recovery in patients not receiving intravenous thrombolysis.

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.

Scanning tunnelling microscopy is used to reveal a new topological kagome magnet with an intrinsic Chern quantum phase, which shows a distinct Landau fan structure with a large Chern gap.

Climate limits where insects can live and which species can coexist. Using thermal tolerances of 653 moths on Asian mountains, this study shows warmer temperatures broaden thermal tolerance traits diversity; daily variation has little influence, and strong seasonality mildly weakens this pattern.

The electron-phonon coupling in organic semiconductors is key to improving performance for devices. Here, the authors show that modulating the penetrated donor-acceptor interface with low electron-phonon coupling, reduces non-radiative voltage loss for high-performance organic solar cell devices.

Experiments in mice and pigs revealed that l-theanine produced by Lactobacillus reuteri acts on host cells to increase the catabolism of branched-chain amino acids by stabilizing the expression of branched-chain amino acid transferases.

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

Electrochemical hydrogenation can occur through adsorbed hydrogen or proton-coupled electron transfer from water. The authors show how competition between these pathways can be tuned by catalyst alloying, enabling selective conversion of acetylene to ethylene.

EpiVerse is a deep-learning framework that integrates imputed epigenetic signals to improve cross-cell-type Hi-C prediction, enhance interpretability, and enable in silico perturbation of chromatin architecture.

Lithium metal batteries suffer from instability under extreme temperatures. Here, the authors develop a weakly solvating electrolyte based on an asymmetric ether that builds bi-layer electrode-electrolyte interfaces, enabling Li | |SPAN batteries to operate reliably from −40 °C to 60 °C

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.

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 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.

Reactive capture bypasses CO₂ regeneration, enabling efficient CO production but with low Faradaic efficiency. The authors report a Ni–N₃ molecular catalyst that resists amino acid adsorption and promotes efficient CO production in amino-acid systems.

Elucidating the nature of topological magnets is at quantum frontier. Here the authors report a topological charge-entropy relation in TbMn₆Sn₆ that goes beyond conventional electron behavior and points to a transport visualization of Chern gapped Dirac fermions.

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.

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.

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.

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.

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.

A genome-wide association meta-analysis study of blood lipid levels in roughly 1.6 million individuals demonstrates the gain of power attained when diverse ancestries are included to improve fine-mapping and polygenic score generation, with gains in locus discovery related to sample size.

A general approach to maximize upconversion luminescence in stoichiometric lanthanide lattices is lacking. Here, Chen et al. report a NaYbF₄:Tm lattice and demonstrate fine-tuning of energy migration by controlling dimensions of the crystal lattice, highlighting their potential for deep ultraviolet lasing.

Fluid-solid interaction, long investigated, is mostly neglected in topological acoustics. Here the authors find that it can give rise to intriguing topological phenomena in simple phononic crystals due to intrinsic differences between sound in fluid and solid.

It is uncertain how much life expectancy of the Chinese population would improve under current and greater policy targets on lifestyle-based risk factors for chronic diseases and mortality behaviours. Here we report a simulation of how improvements in four risk factors, namely smoking, alcohol use, physical activity and diet, could affect mortality. We show that in the ideal scenario, that is, all people who currently smokers quit smoking, excessive alcohol userswas reduced to moderate intake, people under 65 increased moderate physical activity by one hour and those aged 65 and older increased by half an hour per day, and all participants ate 200 g more fresh fruits and 50 g more fish/seafood per day, life expectancy at age 30 would increase by 4.83 and 5.39 years for men and women, respectively. In a more moderate risk reduction scenario referred to as the practical scenario, where improvements in each lifestyle factor were approximately halved, the gains in life expectancy at age 30 could be half those of the ideal scenario. However, the validity of these estimates in practise may be influenced by population-wide adherence to lifestyle recommendations. Our findings suggest that the current policy targets set by the Healthy China Initiative could be adjusted dynamically, and a greater increase in life expectancy would be achieved.

Cr³⁺-sensitized lanthanide-doped nanoparticles afford high-brightness luminescence in the near-infrared region for applications in in vivo non-invasive bioimaging.

CRISPR-Cas9-based screens have allowed the study of gene-drug interactions. Here, the authors develop CRISPR-Cas9 knock-out, activation and repression screens in human gastric 3D organoids, also integrating single-cell CRISPR screens, to identify genes involved in the response to cisplatin in gastric cancer.

Pulmonary fibrosis is a major public health problem with unclear mechanism and limited therapeutic options. Here the authors show that a fibroblast-enriched endoplasmic reticulum protein, TXNDC5, promotes pulmonary fibrosis by stabilizing TGFBR1 and show the potential of TXNDC5 as a therapeutic target against pulmonary fibrosis.

Here, the authors develop a self-capping vapour-liquid-solid reaction to fabricate large-grain continuous MoS₂ films, whereby an intermediate liquid phase-Na₂Mo₂O₇ is formed through a eutectic reaction of MoO₃ and NaF, followed by sulphurisation into MoS₂.

A mixed-precision heterogeneous memristor combined with a compute-in-memory artificial intelligence (AI) processor allows optimization of the precision, energy efficiency, storage and wakeup-to-response time requirements of AI edge devices, which is demonstrated using existing models and datasets.