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NaHCO₃ production is energy- and cost-intensive. Here the authors report an operando electrosynthesis system by embedding nitrate reduction reaction into Solvay system, achieving high NaHCO₃ productivity even up to 4.58 times of benchmark industrial route.

A super-pangenome analysis incorporating 123 newly sequenced bryophyte genomes reveals that bryophytes exhibit a larger number of unique and lineage-specific gene families than vascular plants.

UTe₂ is a proposed intrinsic topological superconductor, but its quasiparticle surface band has not yet been visualized. Now this is achieved using quasiparticle interference imaging, revealing the symmetry of the superconducting order parameter.

This study identifies TriDTCs as a family of terpene cyclases responsible for harzianol I and wickerol A biosynthesis in Trichoderma fungi and are found to regulate Trichoderma’s chlamydospore and Aspergillus oryzae’s sclerotia formation through producing harzianol I.

Dual-scale chemical ordering in CoNiV-based alloys improves the synergy of strength and ductility at cryogenic temperatures, providing an approach for obtaining high-performance metallic materials for cryogenic applications.

Due to their stability, reduction of amides typically requires harsh conditions or strong reductants. Here the authors report a method for amide reduction with molecular hydrogen under mild conditions by use of magnetocatalysis.

High-resolution FAST observations of a very-high-velocity cloud in the warm neutral medium reveal a network of hierarchical filaments formed by shock compression. These findings suggest a viable mechanism for early structure formation in the interstellar medium.

Proline-rich antimicrobial peptides (PrAMPs) are inhibitors of bacterial protein synthesis. Here, the authors demonstrate that the antimicrobial peptide Api137 can disrupt assembly of the ribosomal 50S subunit by inducing misfolding of its components.

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, by realising nonlinear optical spectroscopy at the atomic length scale, the authors capture complex energy-dependent dynamics of hot carriers in a single molecule. The hot carrier and the nonlinear-wave mixing signals are enhanced at the regions of high local density of states in the molecule.

It is unclear how new lysosomal proteins are properly delivered in polarized neurons. Here, the authors developed a method combining the synchronization of protein release from the endoplasmic reticulum with proximity labeling-based proteomics to study lysosomal protein trafficking in neurons.

The LHCb experiment at CERN has observed significant asymmetries between the decay rates of the beauty baryon and its CP-conjugated antibaryon, thus demonstrating CP violation in baryon decays.

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.

Electrocatalytic nitrogen reduction is promising for ammonia production, but electrocatalysts are limited by low efficiency and high cost. Here, the authors report electron-deficient copper nanoparticles, induced by rectifying contact with polyimide, for selective reduction of nitrogen to ammonia.

Manipulation of TIM-1-expressing B cells enables engagement of the second arm of adaptive immunity to promote anti-tumour immunity and inhibit tumour growth.

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

In this study, Tai et al. provide insights into the metabolic and bioenergetic responses in the axonal compartment in the context of multiple sclerosis. Moreover, they show how upregulating the tricarboxylic acid cycle confers protection against neuroinflammation-induced energy deprivation.

Topological terms arise naturally in gauge theories but have been difficult to implement in quantum simulators. Now, a tunable topological θ-angle is demonstrated with a cold-atom platform.

Probing electron–phonon matrix elements in bulk materials is difficult. Now, an all-optical experimental approach is demonstrated that extracts phonon-mode- and electron-energy-resolved electron–phonon matrix elements in the bulk.

The effect of hydrogen embrittlement on metal nanostructures is still unclear. Here, the authors combine nanomechanical testing and molecular dynamics simulations to show that hydrogen can suppress surface dislocation nucleation in silver nanowires.

The authors summarize the data produced by phase III of the Encyclopedia of DNA Elements (ENCODE) project, a resource for better understanding of the human and mouse genomes.

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.

The charge transport mechanism in MXenes—an emerging class of layered materials—is not yet fully understood. A combination of terahertz spectroscopy and transport measurements shows that the formation of large polarons play a crucial role.

A search for transient dark matter in the form of domain walls of axion-like particles finds no statistically significant signal. This places constraints on our theoretical understanding of such scenarios.

Electronic proximity effects between neighbouring nanoscale materials are an important theme in condensed matter physics. Here, the authors experimentally demonstrate a proximity induced charge density wave in graphene due to the nearby presence of 1T-TaS₂.

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.

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 observation of phase modes of charge density wave has been a long-standing challenge. Such low-energy phase excitations have now been seen in a transition metal dichalcogenide.

uiPSF (universal inverse modeling of point spread functions) offers a versatile solution for inferring accurate PSF models from images of beads and blinking fluorophores, enabling improved imaging and image processing in localization microscopy.

A genome-wide association study including over 76,000 individuals with schizophrenia and over 243,000 control individuals identifies common variant associations at 287 genomic loci, and further fine-mapping analyses highlight the importance of genes involved in synaptic processes.

The principle of Le Chatelier is a fundamental concept in textbooks, serving as a guiding principle for controlling chemical and catalytic systems. In this study, the authors present an oxygen electroreduction system based on a single zinc vacancy catalyst, which operates in a manner that extends “beyond” Le Chatelier’s principle.

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.

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.

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.