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Showing 1–50 of 128 results
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  • Electrochemically reducing nitrogen-containing molecules could provide less energy-intense routes to produce ammonia than the traditional Haber–Bosh process. Here the authors use a catalyst comprising Cu embedded in an organic molecular solid to synthesize ammonia from nitrate ions.

    • Gao-Feng Chen
    • Yifei Yuan
    • Haihui Wang
    Research
    Nature Energy
    Volume: 5, P: 605-613
  • Keypoint-MoSeq is an unsupervised behavior segmentation algorithm that extracts behavioral modules from keypoint tracking data acquired with diverse algorithms, as demonstrated in mice, rats and fruit flies. The extracted modules faithfully reflect human-annotated behaviors even though they are obtained in an unsupervised fashion.

    • Caleb Weinreb
    • Jonah E. Pearl
    • Sandeep Robert Datta
    ResearchOpen Access
    Nature Methods
    Volume: 21, P: 1329-1339
  • MRI data from more than 100 studies have been aggregated to yield new insights about brain development and ageing, and create an interactive open resource for comparison of brain structures throughout the human lifespan, including those associated with neurological and psychiatric disorders.

    • R. A. I. Bethlehem
    • J. Seidlitz
    • A. F. Alexander-Bloch
    ResearchOpen Access
    Nature
    Volume: 604, P: 525-533
  • Early stellarator designs suffered from high particle losses, an issue that can be addressed by optimization of the coils. Here the authors measure the magnetic field lines in the Wendelstein 7-X stellarator, confirming that the complicated design of the superconducting coils has been realized successfully.

    • T. Sunn Pedersen
    • M. Otte
    • Sandor Zoletnik
    ResearchOpen Access
    Nature Communications
    Volume: 7, P: 1-10
  • The authors present SVclone, a computational method for inferring the cancer cell fraction of structural variants from whole-genome sequencing data.

    • Marek Cmero
    • Ke Yuan
    • Christian von Mering
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-15
  • 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.

    • Shimin Shuai
    • Federico Abascal
    • Christian von Mering
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-12
  • The synthesis and isolation of uranium(VI) nitride complexes remains challenging. Here, the authors report an example of transition metal (TM) stabilized U(VI) nitride complexes, generated via photolysis of azide-bridged U(IV)-TM precursors.

    • Xiaoqing Xin
    • Iskander Douair
    • Congqing Zhu
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-9
  • Machine learning is a powerful tool for screening electrocatalytic materials. Here, the authors reported a seamless integration of machine-learned physical insights with the controlled synthesis of structurally ordered intermetallic nanocrystals and well-defined catalytic sites for efficient nitrate reduction to ammonia.

    • Qiang Gao
    • Hemanth Somarajan Pillai
    • Huiyuan Zhu
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-12
  • 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.

    • Matthew H. Bailey
    • William U. Meyerson
    • Christian von Mering
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-27
  • 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.

    • Claudia Calabrese
    • Natalie R. Davidson
    • Christian von Mering
    ResearchOpen Access
    Nature
    Volume: 578, P: 129-136
  • 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.

    • Moritz Gerstung
    • Clemency Jolly
    • Christian von Mering
    ResearchOpen Access
    Nature
    Volume: 578, P: 122-128
  • 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.

    • Esther Rheinbay
    • Morten Muhlig Nielsen
    • Christian von Mering
    ResearchOpen Access
    Nature
    Volume: 578, P: 102-111
  • Heterometallic clusters have shown promise in catalysis and small-molecule activation, but species comprising uranium–metal bonds have remained difficult to synthesize. Now, facile reactions between uranium and nickel precursors have led to nickel-bridged diuranium clusters supported by a heptadentate N4P3 scaffold. Computational analysis points to an unusual electronic configuration for uranium, U(iii)-5f26d1.

    • Genfeng Feng
    • Mingxing Zhang
    • Congqing Zhu
    Research
    Nature Chemistry
    Volume: 11, P: 248-253
  • 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.

    • Yilong Li
    • Nicola D. Roberts
    • Christian von Mering
    ResearchOpen Access
    Nature
    Volume: 578, P: 112-121
  • 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.

    • Yulia Rubanova
    • Ruian Shi
    • Christian von Mering
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-12
  • 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.

    • Matthew A. Reyna
    • David Haan
    • Christian von Mering
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-17
  • 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.

    • Constance H. Li
    • Stephenie D. Prokopec
    • Christian von Mering
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-24
  • 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.

    • Vinayak Bhandari
    • Constance H. Li
    • Christian von Mering
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-10
  • Results from the first experimental campaign of the Wendelstein 7-X stellarator demonstrate that its magnetic-field design grants good control of parasitic plasma currents, leading to long energy confinement times.

    • A. Dinklage
    • C. D. Beidler
    • M. Zuin
    Research
    Nature Physics
    Volume: 14, P: 855-860
  • 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.

    • Marta Paczkowska
    • Jonathan Barenboim
    • Christian von Mering
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-16
  • 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.

    • Lina Sieverling
    • Chen Hong
    • Christian von Mering
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-13
  • 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.

    • Ludmil B. Alexandrov
    • Jaegil Kim
    • Christian von Mering
    ResearchOpen Access
    Nature
    Volume: 578, P: 94-101
  • A ‘smart’ toilet that uses pressure and motion sensors, biometric identification, urinalysis strips, a computer-vision uroflowmeter and machine learning longitudinally tracks biomarkers of health and disease in the user’s urine and stool.

    • Seung-min Park
    • Daeyoun D. Won
    • Sanjiv S. Gambhir
    Research
    Nature Biomedical Engineering
    Volume: 4, P: 624-635
  • 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.

    • Lauri A. Aaltonen
    • Federico Abascal
    • Christian von Mering
    ResearchOpen Access
    Nature
    Volume: 578, P: 82-93
  • 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.

    • Wei Jiao
    • Gurnit Atwal
    • Christian von Mering
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-12
  • 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.

    • Marc Zapatka
    • Ivan Borozan
    • Christian von Mering
    ResearchOpen Access
    Nature Genetics
    Volume: 52, P: 320-330
  • 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.

    • Yiqun Zhang
    • Fengju Chen
    • Christian von Mering
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-14
  • Lithium manganate is an important cathode material for lithium-ion batteries; however, its capacity-fading mechanism is unclear. Zhan et al. identify the oxidation state of manganese deposited on the anode, which leads to an irreversible rising in anode resistance and consequently a shortened battery life.

    • Chun Zhan
    • Jun Lu
    • Khalil Amine
    Research
    Nature Communications
    Volume: 4, P: 1-8
  • This report uncovers a role for the mRNA binding factor CPEB4 in cancer. CEPB4 is upregulated in human pancreatic adenocarcinomas and glioblastomas, where it supports tumor growth by providing translational activation of normally silent mRNAs, including tPA, an important contributor to malignancy. The findings illustrate that altered post-transcriptional regulation of gene expression may be an important contributing factor to cancer.

    • Elena Ortiz-Zapater
    • David Pineda
    • Pilar Navarro
    Research
    Nature Medicine
    Volume: 18, P: 83-90
  • A genome-wide association study including 22,389 cases of multiple sclerosis finds an association with disease progression at the DYSF–ZNF638 and DNM3–PIGC loci and identifies a potential of higher educational attainment in slowing disease progression.

    • Adil Harroud
    • Pernilla Stridh
    • Kári Stefánsson
    Research
    Nature
    Volume: 619, P: 323-331
  • 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.

    • Yuan Yuan
    • Young Seok Ju
    • Christian von Mering
    ResearchOpen Access
    Nature Genetics
    Volume: 52, P: 342-352
  • Lithium-rich cathode materials in which manganese undergoes double redox could point the way for lithium-ion batteries to meet the capacity and energy density needs of portable electronics and electric vehicles.

    • Jinhyuk Lee
    • Daniil A. Kitchaev
    • Gerbrand Ceder
    Research
    Nature
    Volume: 556, P: 185-190
  • 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.

    • Isidro Cortés-Ciriano
    • Jake June-Koo Lee
    • Christian von Mering
    ResearchOpen Access
    Nature Genetics
    Volume: 52, P: 331-341