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A DNA matrix material potentiates humoral response through multiple administration routes, generating neutralizing antibodies and conferring robust protection against infection.

Patient-derived xenograft models (PDX) have been extensively used to study the molecular and clinical features of cancers. Here the authors present a cohort of 536 PDX models from 25 cancers, as well as their genomic and evolutionary profiles and their suitability for clinical trials.

The role Tibetan Plateau uplift played in Asian inland aridification remains unclear due to a paucity of accurately dated records. Here, the authors present a continuous aeolian sequence for the period >51–39 Ma, analysis of which indicates that aridification was driven by global climatic forcing rather than uplift.

Going from model development to a pilot implementation study, a deep learning model shows that acute aortic syndrome can be diagnosed directly from noncontrast CT, increasing accuracy and decreasing time to diagnosis.

Cheng-Lung Ku and colleagues report that anti-interferon (IFN)-γ autoantibodies in patients with disseminated mycobacterial infections recognize the C-terminus of IFN-γ, and suggest that autoantibodies may arise by molecular mimicry. The authors propose a therapeutic strategy to treat patients using a modified IFN-γ that escapes neutralization by autoantibodies.

To increase the efficiency, brightness and stability of next-generation light-emitting diodes (LEDs), the microstructure of CsPbI_3-xBr_x metal-halide perovskite, a good pure-red emitter, was altered to fix hole leakage, which was identified as decreasing efficiencies in overworked LEDs.

Ferroptotic propagation aggravates kidney ischemia-reperfusion injury and causes delayed graft function. Here, the authors show that inhibiting lactate shuttle and AARS1-mediated NPM1 lactylation protects graft function by blocking ferroptotic waves.

Clustering cells based on similarities in gene expression is the first step towards identifying cell types in scRNASeq data. Here the authors incorporate biological knowledge into the clustering step to facilitate the biological interpretability of clusters, and subsequent cell type identification.

A prophylactic cancer vaccine consisting of commercial adjuvants wrapped by membranes from pluripotent stem cells inhibited tumour progression in mice, owing to shared antigens between tumour membranes and the pluripotent stem cell membranes.

Proteome profiling of plasma samples in human pan-cancer cohorts reveals patterns of biomarkers for diagnosis.

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.

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.

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.

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.

The progression of oesophageal squamous cell carcinoma (ESCC) from early to advanced stages requires comprehensive molecular characterisation. Here, the authors perform a proteogenomics analysis of ESCC patient samples across nine histopathological stages and three phases, identifying key alterations and paths for progression.

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.

Here, the authors use multi-omic data to reveal how genetic and epigenetic variation affects gene expression in two pig breeds. The findings highlight strong tissue-specific regulation and identify genes with allele-specific expression.

Polymer nanofibres can be used to detect mechanical motion. Here, the authors use electrospun piezoelectric nanofibre webs to detect acoustic waves at frequencies below 500 Hz with a good sensitivity at low pressure levels, and study the impact of the fibres morphology and crystalline phase.

It is known that the spin-excitation spectrum of the undoped parents of iron-pnictide superconductors contains a pronounced magnon peak, but it is unclear whether this survives doping into the superconducting state. Schmitt et al.report resonant inelastic X-ray scattering spectra that suggest it does.

This study explores the magnitude, spatiotemporal variation and drivers of nitrous oxide emissions from Chinese livestock production over the past four decades. Scenario analysis is used to estimate emissions mitigation potential of different measures, their associated marginal abatement costs and the social benefits.

The coupling of acetonitrile into succinonitrile via a dehydrogenative route is highly attractive in terms of valuable chemical synthesis and green hydrogen energy production. Here, the authors report succinonitrile synthesis with high selectivity and rate via a light driven dehydrogenative coupling reaction of CH₃CN over the anatase TiO₂ supported Pt catalyst.

Ancestral environments can induce heritable phenotypic changes, but whether it is a common phenomenon remains unknown. This long-term experiment in Arabidopsis thaliana reveals that environment-induced heritable changes that are common, reproducible, and predictable.

Ideally smart textiles should be able to thermoregulate, be moisture permeable, and have a stable working performance, though it is challenging to balance these properties. Here the authors design a fabric, by reducing polymer chain aggregation, balancing the ideal properties for smart fabrics.

The instability of contact layers for perovskite solar cells under operating conditions limits the deployment of the technology. Now, Lin et al. develop a Cu–Ni electrode sandwiched between in situ-grown graphene protective layers, enabling solar cells with improved stability under light, humidity and high temperature.

Association analyses in over 1 million individuals identify 535 new loci influencing blood pressure traits. The results provide new insights into blood pressure regulation and highlight shared genetic architecture between blood pressure and lifestyle exposures.

The reason for a re-emergence of scarlet fever in China remains unclear. Here the authors show that the number of scarlet fever cases surged in 2011 peaking in 2018, this correlates with an increase in NO₂ and O₃ but does not necessarily imply causation.

A screen for protein degraders discovers hits by imaging cell survival.

Edge-exposed exfoliation using sticky tape is shown to be a simple and reliable method for scaling up the production of ultrathin, ultraflat and ultraflexible polycrystalline diamond membranes for diverse electrical, optical, mechanical, thermal, acoustic and quantum applications.

Reversible protonic ceramic cells face electrode interface degradation challenges. This study introduces an atomic trapping strategy to restructure heterointerfaces, improving power output and long-term stability while reducing precious metal usage.

cell–cell communication (CCC) is crucial for understanding biological processes. Here, authors present DeepTalk, which combines single-cell RNA sequencing and spatial transcriptomics data to infer cell–cell communication at single-cell resolution, revealing intricate intercellular dynamics within tissues.

The evolution of superconductivity in LiFeAs with respect to pressure or strain remains elusive. Here, the authors observe different response of superconducting states due to different orientations of local wrinkles on the surface of LiFeAs.

The microRNAs miR-1 and miR-206 have identical seed sequences and have been reported to regulate angiogenesis in zebrafish by repressing VegfAa expression. Here, Lin et al.describe opposing roles of the two microRNAs in regulating VegfAa expression and therefore angiogenesis in zebrafish.

The impact of chemical chirality on immune response attracts attention in cancer vaccine design recently. Here this group reports the chirality of poly(γ-ethyl-D-glutamate)-based hydrogel exhibiting higher levels of suppression on antigen-presenting cells and inducing stronger T cell exhaustion than L-Gel eventually leading to insufficient anti-tumor efficacy.