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Man-made electronics often face trade-offs among biological-like plasticity, electrical performance, and structural integrity. The authors show that ion-specific effects in biology can be leveraged to create reconfigurable materials for bionic electronics.

Shifts in phenology can significantly impact organism fitness, ecosystem function, and the provision of ecosystem goods and services. Through a global meta-analysis, this study shows how shifts in the timing of leaf-out and first flowering due to warming and precipitation changes depend on plant functional group and climate region.

Biotic-abiotic hybrid systems are promising for solar-to-chemical conversion, but it remains challenging to achieve atomically precise interface contact. Here, the authors report a general strategy of facilitating direct electron uptake via building single-atom bridges across biotic-abiotic interfaces to enhance solar-driven hydrogen production.

Self-healing materials promise commercial success if they can balance fatigue resistance and stiffness for industrial applications. Here, the authors develop a multiscale interlinked structure using an MXene framework within a polyurethane matrix, achieving high fatigue resistance, rapid self-healing, and enhanced stability.

This work presents SCIGEN, a machine learning framework integrating geometric constraints into material generation. The framework enables the discovery of stable quantum material candidates, and the authors synthesize two predicted magnetic materials.

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.

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.

Integrated scanning probe techniques in combination with first-principles theory unveil the crystallization of electron polarons into quasi-one-dimensional polaron superlattices in individual polypentacene molecules.

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.

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 full exploitation of back contact silicon solar cells is crucial to achieve a high performance for potential industrialization. Here, authors incorporate a double-sided light management strategy to reduce optical losses, achieving a total-area efficiency of 27.03% for 350 cm2 solar cells.

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.

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.

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.

A graph-based pan-genome constructed from 30 genome assemblies covering Malus domestica ‘Golden Delicious’ and 29 wild diploid or polyploid Malus species highlights structural variation and genome evolution in the Malus genus.

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.

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.

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.

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.

Here the authors develop a dispersive Fourier transform (DFT) based LIDAR method utilizing phase-locked Vernier dual soliton laser combs and demonstrate improved precision in the measurements.

This study identifies a decadal link between sea surface temperatures off Western Australia and the western-central tropical Pacific that has emerged since 1985. Driven by external forcings and the rapid changes in the Indo-Pacific warm pool, it may impact future climate.

Here, the authors show that GalNAc-T3 and T7 regulate furin cleavage of the SARS-CoV-2 spike protein via O-glycosylation. This influences viral assembly and infection, highlighting glycosylation as a host defense mechanism.

Multiple pluripotent states have been described in mouse and human stem cells. Here the authors describe trajectories during BMP4 induced primed to naïve transition, which bifurcates into naïve and trophoblast-like branches with a PGC-like intermediate at the naïve branch.

Near-gapless and haplotype-resolved genome assemblies of the dwarfing ‘M9’ and semi-vigorous ‘MM106’ rootstocks and a major apple cultivar ‘Fuji’ provide insights into the genetic basis of rootstock-induced dwarfing traits.

Analysis of whole-genome sequencing data across 2,658 tumors spanning 38 cancer types shows that chromothripsis is pervasive, with a frequency of more than 50% in several cancer types, contributing to oncogene amplification, gene inactivation and cancer genome evolution.

A new ultra-specific enhancement strategy for Cas12a via iterative crRNA design. A PAM-free one-pot detection platform for SARS-CoV-2 variants demonstrates significant potential for in vitro diagnostics.

Electromagnetic devices involving a vibratory actuator and a soft strain-sensing sheet can dynamically measure the Young’s modulus of skin and of other soft biological tissues at depths of millimetres.

Inflammatory diseases such as rheumatoid arthritis are associated with high reactive oxygen species levels. Here, the authors report on 2D metal-organic frameworks as an artificial antioxidase with the same manganese coordination centre as two natural enzymes, and demonstrate their anti-inflammatory effects and anti-arthritic effects in vivo.

Iron gall chelate (GA-Fe) can promote oxygen reduction reactions and reactive oxygen species generation which causes chemical corrosion. Here, the authors, inspired by this phenomenon, develop a composite nanomedicine for tumour therapy constructed by loading gallate into Fe-engineered and PEGylated mesoporous silica nanocarrier, and show that it inhibits tumour growth.

Potassium acetate (KAc) has desirably both a high solubility and a salting-out effect on polyvinyl alcohol (PVA). The freezing temperature of 50 wt% KAc solution can reach as low as −70 °C. The hydrogels soaked in 50 wt% KAc solution exhibit the highest mechanical properties with an ultimate stress of 8.2 MPa and toughness of 25.8 MJ/m³, surpassing most reported results for anti-freezing gels. At 50 wt% KAc, the hydrogels also present a high conductivity of 8.0 S/m at room temperature and 1.2 S/m at −60 °C.

The combination of piezoresponse force microscopy and optical measurements reveals the influence of strain in the formation of one-dimensional moiré patterns and the resulting behaviour of interlayer excitons in van der Waals heterostructures.

Jun Wang and colleagues report the genome sequence of the cucumber. The cucumber genome is the seventh plant genome sequence to be reported and was assembled with a combination of traditional Sanger and next-generation sequencing methods.

Laundry detergents usually contain chemicals that are problematic to the environment. The authors introduce a polymer nanofilm that renders fabrics and many more materials stain resistant and detergent free.

Analysis of mitochondrial genomes (mtDNA) by using whole-genome sequencing data from 2,658 cancer samples across 38 cancer types identifies hypermutated mtDNA cases, frequent somatic nuclear transfer of mtDNA and high variability of mtDNA copy number in many cancers.

Efficient, large-scale genomic analysis is facilitated on the cloud by a computational tool with error-diagnosing and self-healing capabilities.