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By measuring charge exchange in a sphere/plate pair composed of identical amorphous silicon dioxide and controlling charging polarity using baking or plasma treatment, adventitious carbon is shown to break symmetry in oxide contact electrification.

Urea, the most widely used nitrogen fertilizer, has unknown impacts on freshwater ecosystems. This study demonstrates that urea additions in Canadian prairie agricultural reservoirs triple phytoplankton abundance without increasing cyanobacterial toxins, revealing considerable nitrogen loss to the atmosphere and highlighting potential global water quality degradation in phosphorus-rich agricultural regions.

Here authors show that GDF15, a cytokine that is produced by cancer cells, prevents T cells from extravasation into the tumour microenvironment. Low availability of T cells in GDF-15-expressing tumours thus precludes effective immune therapy.

Defective neurotransmission is a hallmark of spinal muscular atrophy (SMA). Here, the authors show that local presynaptic Munc13-1synthesis is defective in SMA and that modification of the Munc13-1 mRNA rescues presynaptic architecture and excitability.

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.

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.

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 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.

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.

Energy transfer between fluorophores is shown to impede SMLM at sub-10-nm spatial resolution. Time-resolved detection and photoswitching fingerprinting analysis are used to determine the number and separation of closely spaced fluorophores.

The organisation of plasma membrane receptors is important for their function. Here the authors combine lattice light-sheet microscopy with 3D single-molecule localisation microscopy (dSTORM) and single-particle tracking to study the distribution and motility of several surface receptors.

Nominally identical materials are found to spontaneously order into triboelectric series over repeated processes, which is found to be driven by the act of contact itself using experiments as well as numerical simulations.

DNAM-1, an NK-cell receptor, binds fungal hyphae and interacts with Candida albicans Sap10. This interaction enhances NK-cell activation suggesting a role for DNAM-1 in immune activation during fungal infection.

To mark the 15th anniversary of Nature Methods, we asked scientists from across diverse fields of basic biology research for their views on the most exciting and essential methodological challenges that their communities are poised to tackle in the near future.

In the absence of GPX4, FSP1 regenerates ubiquinol from the oxidized form, ubiquinone, using NAD(P)H and suppresses phospholipid peroxidation and ferroptosis in cells.

A model of sequential flux bottlenecks explains a universal trade-off between steady-state growth and physiological adaptation time in bacteria exposed to fluctuating growth conditions.

Identifying biomarkers associated with risk of severe COVID-19 disease could inform clinical management. Here, the authors identify a long noncoding RNA associated with severe disease using data from three European countries, and validate their finding in data from Canada.

Visualisation of TARP localisation is hindered by existing imaging tools. Here the authors report a labelling and imaging platform using genetic code expansion and non-canonical amino acids; they use this to fluorescently label live neurons and localise TARP proteins using super resolution microscopy.

Translation efficiency can be affected by mRNA stability and secondary RNA structures. Here the authors reveal that loss of DHX36 helicase activity leads to an accumulation of translationally inactive target mRNAs with G-rich structures in untranslated regions.

The authors test expansion microscopy protocols for investigation of the molecular organisation of mammalian synaptonemal complexes (SCs) with structured illumination microscopy. They show that the molecular structure is preserved during expansion and ultrastructural details of SCs can be revealed.

CD19 CAR-T cells have achieved some success in treating myeloma patients despite the limited detection of the CD19 antigen. Here, the authors show using dSTORM that 10/14 myeloma samples studied express ultra-low levels of CD19, which are sufficient for engaging CAR-T cells in vitro.

Previous attempts to combine expansion microscopy (ExM) and single molecule localisation microscopy (SMLM) have proved challenging. Here the authors show that post-labelling Ex-SMLM improves labelling efficiency, reduces linkage error, and preserves ultrastructural details.

Imaging of lipid bilayers using light microscopy is challenging. Here the authors label cells using a short chain click-compatible ceramide to visualize mammalian and bacterial membranes with expansion microscopy.

Commonly used organic dyes can photoconvert to blue-shifted fluorescent species, especially under intense illumination. The mechanism of this process and how to avoid unwanted artifacts in super-resolution microscopy are explored here.

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.

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.

Cryogenic electron microscopy structures of the Synechocystis phycobilisome—alone and bound with orange carotenoid protein—reveal detailed information regarding the biophysical basis of the control of cyanobacterial light harvesting.

Combining expansion microscopy with super-resolution radial fluctuations captures the morphology of single proteins.

The enzymatic breakdown of the lipid sphingomyelin is associated with various infectious diseases. Here, the authors introduce trifunctional sphingomyelin derivatives for the visualisation of sphingomyelin distribution and sphingomyelinase activity in infection processes.

This analysis of a large, clinically annotated cohort of individuals with predisposition to myelodysplastic syndromes reveals insights into the genetic determinants of disease progression and their relationship with clinical manifestations and therapy outcome.