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Replacing animal feathers and wool with synthetic materials can ameliorate the ethical and environmental issues associated with the production of clothing designed to retain warmth. Here the authors present synthetic nanofibre textiles that combine wearability, comfort, lightness and thermal insulation.

The primary entry route of vanilloid ligands to the vanilloid-binding site in transient receptor potential vanilloid 1 (TRPV1) is found to be a distinct and targetable hydrophobic pathway at the TRPV1–cell membrane interface rather than through direct membrane penetration.

Multiferroic BiFeO₃ is promising for applications where electric and magnetic fields need to be coupled, for example, in magnetic data storage. Here, combining theory and experiment the authors provide a microscopic insight into the switching of magnetization by electric fields in BiFeO₃.

Certain chiral macroions have previously been shown to self-assemble into spherical structures. Here, the authors observe self-sorting of racemic macroions into enantiomeric ‘blackberry’-shaped structures, and furthermore show that the addition of chiral co-anions allows the formation of a single enantiomer.

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

Zhu and colleagues show that a subpopulation of spleen-derived fibroblasts secrete Gremlin 1, which suppresses chronic myeloid leukemia progression by inducing leukemia stem cell apoptosis through the BMP signaling pathway.

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.

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.

Understanding and exploiting the redox properties of uranium is of great importance but stabilizing both low and high valent uranium ions in a preserved ligand environment remains challenging. Here, the authors report the synthesis and characterisation of a series of uranium(II–VI) complexes supported by a tripodal tris(amido)arene ligand.

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.

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.

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.

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.

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.

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.

The authors deposit non-superconducting metallic thin films on surfaces of the kagome Chern magnet TbMn₆Sn₆ and observe emergent superconductivity even though neither component is a superconductor. Furthermore, the superconducting state is quasi-two-dimensional and coexists with ferromagnetism, consistent with possible spin-triplet pairing and topological superconductivity.

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.

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.

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.

A trans-ancestry meta-analysis of GWAS of glycemic traits in up to 281,416 individuals identifies 99 novel loci, of which one quarter was found due to the multi-ancestry approach, which also improves fine-mapping of credible variant sets.

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.

P2X3 activation requires tightening the inner pocket of the head domain (IP-HD) following ATP binding. Here the authors demonstrate that targeting the IP-HD with allosteric small molecules presents a potential strategy for the development of therapeutics for refractory chronic cough without taste abnormalities.

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 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.

Analysis of copy number alterations in 1,451 patient-derived xenografts (PDXs) and matched patient tumor samples shows strong conservation from patient tumors through late-passage PDXs and a lack of systematic copy number evolution driven by the mouse host.

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.

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.

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.

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.

Bi et al. reveal a coordinated function for GATA3 and AP1 in altering enhancer landscapes, thereby promoting a basal/mesenchymal phenotype and endocrine resistance in breast cancer.

Here, a draft sequence of the giant panda genome is assembled using next-generation sequencing technology alone. Genome analysis reveals a low divergence rate in comparison with dog and human genomes and insights into panda-specific traits; for example, the giant panda's bamboo diet may be more dependent on its gut microbiome than its own genetic composition.

Aligned 2D assembled fibres have been developed by drawing like 1D polymers, yet with disorders in cross-section. Here, the authors bidirectionally promote assembly order of graphene fibres, achieving high modulus and highly thermal conductivity.

Exploring the diversity of the wild progenitor of the wheat D subgenome allows for rapid trait discovery.

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.

Here the authors present a wet-interfacial Joule heating approach for synthesizing nanomaterials in a sub-second, programmable, and energy/reactant-saving manner, based on the synergy between Joule-heating-based high temperature and evaporation-caused concentration.

Quantum electrodynamics predicts a rare process in which light is scattered by light. The ATLAS Collaboration reports signs of this elusive effect in the collisions of ultra-relativistic lead ions.

Designing an efficient electrocatalyst of hydrogen oxidation reaction is highly critical for anion exchange membrane fuel cells. Here the authors report implanting oxophilic metal atoms in PtRu nanowires to significantly improve the mass activity, stability, and resistance to CO-poisoning for hydrogen oxidation.

Narrow, long graphene nanoribbons with atomically smooth and defect-free edges can be produced by squashing carbon nanotubes, and can be used to fabricate a sub-3-nm-wide channel field-effect transistor with a mobility of 2,443 cm² V⁻¹ s⁻¹.

Patricia Munroe, Christopher Newton-Cheh, Andrew Morris and colleagues perform association studies in over 340,000 individuals of European ancestry and identify 66 loci, of which 17 are novel, involved in blood pressure regulation. The risk SNPs are enriched for cis-regulatory elements, particularly in vascular endothelial cells.

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.

The measurement of the total cross-section of proton–proton collisions is of fundamental importance for particle physics. Here, the first measurement of the inelastic cross-section is presented for proton–proton collisions at an energy of 7 teraelectronvolts using the ATLAS detector at the Large Hadron Collider.

In this study the authors report USP48 and BRAF are frequently mutated in USP8 wild-type corticotroph adenomas, and cause Cushing’s disease mainly through promoting the promoter activity of POMC. Inhibition of BRAF may be a promising therapeutic strategy for the treatment of patients with BRAF-mutated corticotroph adenomas.

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

STAAR is a powerful rare variant association test that incorporates variant functional categories and complementary functional annotations using a dynamic weighting scheme based on annotation principal components. STAAR accounts for population structure and relatedness and is scalable for analyzing large whole-genome sequencing studies.