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Showing 1–50 of 179 results
Advanced filters: Author: Markus Arndt Clear advanced filters
  • Observing superposition states of mesoscopic quantum systems is an ongoing challenge. Gerlichet al. report quantum interference of large tailor-made organic compounds, demonstrating delocalization and the quantum wave nature of entire molecules composed of up to 430 atoms.

    • Stefan Gerlich
    • Sandra Eibenberger
    • Markus Arndt
    ResearchOpen Access
    Nature Communications
    Volume: 2, P: 1-5
  • Head and neck cancer patients could greatly benefit from personalised treatment, but a lack of large public datasets hampers this potential. Here, the authors present HANCOCK, a multimodal dataset that integrates demographical, clinical, and histopathological data for 763 head and neck cancer patients that empowers machine learning models for clinical outcome prediction.

    • Marion Dörrich
    • Matthias Balk
    • Andreas M. Kist
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-11
  • Nanomechanical sensors that rely on intrinsic resonance frequencies usually present a tradeoff between sensitivity and bandwidth. In this work, the authors realise an optically driven nanorotor featuring high frequency stability and tunability over a large frequency range.

    • Stefan Kuhn
    • Benjamin A. Stickler
    • James Millen
    ResearchOpen Access
    Nature Communications
    Volume: 8, P: 1-5
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Extending matter-wave interferometry to nanoscale objects requires beam splitters that can cope with their internal complexity. Here, the authors demonstrate that the absorption of individual photons allows the center-of-mass coherence of large molecules to be maintained.

    • J. P. Cotter
    • S. Eibenberger
    • K. Hornberger
    ResearchOpen Access
    Nature Communications
    Volume: 6, P: 1-8
  • Expanding the scope of materials for spin caloritronics enhances the opportunity to achieve more energy efficient memory and sensor devices. Here the authors report the tunnel magneto-Seebeck effects in magnetic tunnel junctions with Co2FeAl and Co2FeSi Heusler compounds.

    • Alexander Boehnke
    • Ulrike Martens
    • Günter Reiss
    ResearchOpen Access
    Nature Communications
    Volume: 8, P: 1-7
  • Detecting FGFR3-mutant muscle-invasive and metastatic urothelial cancers (MIBC/mUC) for targeted therapy remains challenging, but clinically important. Here, the authors develop a deep-learning model to detect FGFR3 mutations in MIBC/mUC from routine histopathology slides, allowing for highly sensitive, rapid, and cost-effective pre-screening.

    • Pierre-Antoine Bannier
    • Charlie Saillard
    • Markus Eckstein
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-11
  • Joshua Bis, Christopher O'Donnell and colleagues report a meta-analysis of genome-wide association studies from the CHARGE Consortium that identifies loci associated with carotid intima media thickness and plaque. These are established measures of subclinical atherosclerosis that predict future cardiovascular disease events.

    • Joshua C Bis
    • Maryam Kavousi
    • Christopher J O'Donnell
    Research
    Nature Genetics
    Volume: 43, P: 940-947
  • In hepatocellular carcinoma driven by non-alcoholic steatohepatitis, aberrant T cell activation and impaired immune surveillance seem to make hepatocellular carcinoma less responsive to anti-PD1 or anti-PDL1 immunotherapy.

    • Dominik Pfister
    • Nicolás Gonzalo Núñez
    • Mathias Heikenwalder
    ResearchOpen Access
    Nature
    Volume: 592, P: 450-456
  • Analyses of genomes from 914 children, adolescents, and young adults provide a comprehensive resource of genomic alterations across a spectrum of common childhood cancers.

    • Susanne N. Gröbner
    • Barbara C. Worst
    • Stefan M. Pfister
    ResearchOpen Access
    Nature
    Volume: 555, P: 321-327
  • Infection or chronic inflammation is a risk factor for childhood B-cell precursor acute lymphoblastic leukemia. Here, the authors show that the DNA editing enzyme AID is expressed in infected B cells but using genetic mouse models show that it does not contribute to leukemia pathogenesis.

    • Guillermo Rodríguez-Hernández
    • Friederike V. Opitz
    • Arndt Borkhardt
    ResearchOpen Access
    Nature Communications
    Volume: 10, P: 1-10
  • In this Consensus Statement, an international panel of experts present an overview of the latest developments in the field of cholangiocarcinoma. A set of consensus recommendations and research priorities is provided.

    • Jesus M. Banales
    • Pedro M. Rodrigues
    • Victor Lopez-Lopez
    Reviews
    Nature Reviews Gastroenterology & Hepatology
    Volume: 23, P: 65-96
  • Burkitt lymphoma (BL) is the most common pediatric B-cell lymphoma. Here, within the International Cancer Genome Consortium, the authors performed whole genome and transcriptome sequencing of 39 sporadic BL, describing the landscape of mutations, structural variants, and mutational processes that underpin this disease how alterations on different cellular levels cooperate in deregulating key pathways and complexes.

    • Cristina López
    • Kortine Kleinheinz
    • Reiner Siebert
    ResearchOpen Access
    Nature Communications
    Volume: 10, P: 1-19
  • A matter-wave interferometer is ‘universal’ if it can be applied to any atom or molecule irrespective of its internal state. This removes the need to prepare a spatially coherent incident beam. Such a system is now realized using three separate optical ionization gratings, and interference of molecular clusters with a de Broglie wavelength as small as 275 fm is demonstrated.

    • Philipp Haslinger
    • Nadine Dörre
    • Markus Arndt
    Research
    Nature Physics
    Volume: 9, P: 144-148
  • Nicole Soranzo and colleagues report a meta-analysis of genome-wide association datasets identifying 22 associations to 8 clinically relevant hematological traits. They also identify a long-range haplotype at 12q24 that includes variants associated with platelet counts as well as coronary artery disease and shows evidence of a selective sweep in Europeans.

    • Nicole Soranzo
    • Tim D Spector
    • Christian Gieger
    Research
    Nature Genetics
    Volume: 41, P: 1182-1190
  • The observation of quantum phenomena usually requires utmost control and isolation of a quantum system from its noisy environment. A study now shows how even a spontaneously emitted photon may force an atom into a coherent quantum state.

    • Markus Arndt
    News & Views
    Nature Physics
    Volume: 7, P: 375-376
  • A cross-ancestry meta-analysis of genome-wide association studies identifies association signals for stroke and its subtypes at 89 (61 new) independent loci, reveals putative causal genes, highlighting F11, KLKB1, PROC, GP1BA, LAMC2 and VCAM1 as potential drug targets, and provides cross-ancestry integrative risk prediction.

    • Aniket Mishra
    • Rainer Malik
    • Stephanie Debette
    ResearchOpen Access
    Nature
    Volume: 611, P: 115-123
  • Land use intensification is a major driver of biodiversity change. Here the authors measure diversity across multiple trophic levels in agricultural grassland landscapes of varying management, finding decoupled responses of above- and belowground taxa to local factors and a strong impact of landscape-level land use.

    • Gaëtane Le Provost
    • Jan Thiele
    • Peter Manning
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-13
  • Christopher Newton-Cheh and colleagues report a genome-wide association study for blood pressure traits as part of the Global BPgen consortium. They report eight loci with replicated association to systolic and/or diastolic blood pressure, with each also showing association to hypertension.

    • Christopher Newton-Cheh
    • Toby Johnson
    • Patricia B Munroe
    Research
    Nature Genetics
    Volume: 41, P: 666-676
  • Christopher Newton-Cheh and colleagues report genome-wide association analyses for QT interval, an electrocardiographic measure reflecting myocardial repolarization, in 100,000 individuals. They identify 35 loci associated with QT interval and highlight a role for calcium regulation in myocardial repolarization.

    • Dan E Arking
    • Sara L Pulit
    • Christopher Newton-Cheh
    Research
    Nature Genetics
    Volume: 46, P: 826-836