Search

K11/K48 branched ubiquitin chains regulate protein degradation and cell cycle progression. Here, the authors report the structural basis of how such a branched ubiquitin chain is recognized by the human 26S proteasome, revealing a multivalent binding mode that underlies selective recognition.

This study reports DLFea4AMPGen, a peptide design strategy that leverages deep learning to identify and extract key features for the generation of new antimicrobial peptides (AMPs), which allowed for the identification of 12 AMPs with bioactivity.

Psoriasis is a complex inflammatory disease of the skin and mouse models may not reproduce the human disease. Here the authors show that UEB2L3 is involved in human psoriasis and that a mouse model deficient in Ube2l3 recapitulates major features of the human disease involving CXCL16 and CD8 or γδ T cells secreting IL-17 to exacerbate skin inflammation.

Colorectal cancer can be difficult to treat due to multiple biological barriers. Here, the authors report an orally delivered microbial–inorganic hybrid that combines electrogenic bacteria with MnO₂ nanoparticles to disrupt tumour metabolism, trigger pyroptosis, remodel immunity, and achieve tumour-targeted therapy.

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.

While BH3-mimetics can be effective for treatment of haematological malignancies, their efficacy in solid tumours is limited. Here, using a range of patient-derived prostate cancer models, the authors demonstrate that increased replication stress induced by RB1 loss confers sensitivity to BH3 mimetics targeting BCL-XL.

Efficient chemical synthesis of nucleoside is challenging due to the low reactivity of nucleobases acceptors. Herein, the authors report a protocol for nucleoside synthesis with glycosyl o-(tert-butylethynyl)phenyl thioglycosides as donors.

The O-alkylation of tertiary alcohols with racemic tertiary electrophiles to access chiral hindered dialkyl ethers has remained elusive. Now this synthetic challenge has been accomplished by copper-catalysed C–O cross-coupling between tertiary haloamides and alcohols using designed ligands.

Designing two-dimensional membranes to achieve tailored channels while ensuring stability remains challenging. Here, the authors use multifunctional intercalants to create stable, selective subnanochannels in MoS₂ membranes, demonstrating their potential in wastewater treatment.

A ligand oxidation structure-adaptive strategy creates an ultra-thin passivation nanolayer that enables copper and its alloys to resist corrosion and oxidation in harsh environments while retaining intrinsic electrical and thermal conductivities.

In this Perspective, members of the Aging Biomarker Consortium outline the X-Age Project, an Aging Biomarker Consortium plan for building standardized aging clocks in China. The authors discuss the project roadmap and its aims of decoding aging heterogeneity, detecting accelerated aging early and evaluating geroprotective interventions.

High-voltage sodium solid-state batteries often suffer from capacity loss due to harmful internal reactions. By adding a uniform protective layer to the cathode, this study greatly improves their stability—retaining 77.9% capacity after 1,500 cycles—and shows promise for developing longer-lasting, high-energy batteries.

Polygenic scores for body mass index and obesity constructed using data from 5 million people with different ancestries were associated with distinct weight gain trajectories from early childhood to adulthood.

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

Low-frequency quasiperiodic oscillations in X-ray data are thought to trace the accretion flow in X-ray binaries. Here, the detection of 200 keV oscillations probes the innermost regions of MAXI J1820+070, revealing the precession of a small-scale jet.

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.

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.

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.

Mixed-dimensional 1D-2D heterostructures hold promise for catalytic and optoelectronic applications, but the control of their electronic band structure remains challenging. Here, the authors report the fabrication of 1D-graphene nanoribbon/2D-CuSe heterojunctions with tunable band alignment by varying the geometry and phase of the materials.

Trained and validated on multimodal data from 14.5 million images from multicountry datasets, a foundation model is shown to increase diagnostic and referral accuracy of clinicians when used as an assistant in a trial involving 16 ophthalmologists and 668 patients.

The Chinese tree shrew, Tupaia belangeri chinensis, has been proposed as a potential animal model in biomedical research and drug safety testing. This study presents the full genome of the Chinese tree shrew, identifying common features between the tree shrew and primates.

The phytohormone abscisic acid (ABA) regulates a variety of physiological processes in plants. A molecule involved in chlorophyll biosynthesis, the H-subunit of Mg-chelatase functions as an ABA receptor. This interaction controls seed germination and stomatal movement.

Population genomic analyses reveal the migration route and the molecular basis associated with adaptations to the nonnative range for an obligate fig wasp pollinating an invasive fig tree species.

Molecular tools enabling precise DNA mutations and targeted modulation of gene expression have significant potential in medicine and biology. Here, the authors develop a compact system for simultaneous and independent gene editing, activation, and repression in mammalian cells.

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.

Tracing cellular changes in complex biological systems is challenging. Here, authors present a flexible framework that integrates multi-sample data with in-house algorithms to infer comparative and spatiotemporal cell-gene patterns, advancing understanding of cellular dynamics.

Ordered oxygen vacancy channels are uncovered on the CeO₂ (110) surface at high temperatures via in situ TEM and a cluster expansion model, offering structural insights for tuning metal oxides in energy conversion and catalytic applications.

Alkane carbonylation through photocatalytic alkyl radical addition to CO is a challenge. Now, an equilibrium-leveraging strategy which combines the direct carbonylation of alkanes with CO with onwards enantioselective transformations is reported, providing an enantioselective method for the synthesis of β-amino and α-amino ketones.

The reconstruction of rutile TiO2 (110) impacts its surface chemistry and catalytic properties. Here, the authors offer a detailed understanding of the asymmetric surface reconstruction of TiO2 (110)-(1×2) through a combination of STEM and DFT calculations.

Metal-driven anaerobic oxidation of methane and methanogenesis, mediated by a diverse microbial community, drove iron-mineral transformation and may have aided ice sheet melting, according to analysis of Sturtian iron formations from South China

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.

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 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.