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Showing 1–50 of 94 results
Advanced filters: Author: Wolfram Schmidt Clear advanced filters
  • Here the authors compare genetic testing strategies in rare movement disorders, improve diagnostic yield with genome analysis, and establish CD99L2 as an X-linked spastic ataxia gene, showing that CD99L2–CAPN1 signaling disruption likely drives neurodegeneration.

    • Benita Menden
    • Rana D. Incebacak Eltemur
    • Tobias B. Haack
    ResearchOpen Access
    Nature Communications
    Volume: 17, P: 1-21
  • Reduced glomerular filtration rate (eGFR) is a hallmark of chronic kidney disease. Here, Pattaro et al. conduct a meta-analysis to discover several new loci associated with variation in eGFR and find that genes associated with eGFR loci often encode proteins potentially related to kidney development.

    • Cristian Pattaro
    • Alexander Teumer
    • Caroline S. Fox
    ResearchOpen Access
    Nature Communications
    Volume: 7, P: 1-19
  • Analysis of soundscape data from 139 globally distributed sites reveals that sounds of biological origin exhibit predictable rhythms depending on location and season, whereas sounds of anthropogenic origin are less predictable. Comparisons between paired urban–rural sites show that urban green spaces are noisier and dominated by sounds of technological origin.

    • Panu Somervuo
    • Tomas Roslin
    • Otso Ovaskainen
    ResearchOpen Access
    Nature Ecology & Evolution
    Volume: 9, P: 1585-1598
  • Silicon-ion-implanted yttrium iron garnet technology enables low-loss and dispersion-tunable magnonic waveguides with spin-wave decay lengths of >100 µm, which pave the way for large-scale, energy-efficient magnonic integrated circuits.

    • Jannis Bensmann
    • Robert Schmidt
    • Rudolf Bratschitsch
    ResearchOpen Access
    Nature Materials
    Volume: 24, P: 1920-1926
  • 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
  • Damaged linearized mtDNA needs to be removed from the cell for mitochondrial genome stability. Here the authors shed light into the identity of the machinery responsible for rapidly degrading linearized DNA, implicating the role of mtDNA replication factors.

    • Viktoriya Peeva
    • Daniel Blei
    • Wolfram S. Kunz
    ResearchOpen Access
    Nature Communications
    Volume: 9, P: 1-11
  • Herpesviruses code for conserved protein kinases (CHPKs) that exert several regulatory functions by interacting with cellular factors. Here, the authors use affinity purification mass spectrometry (AP–MS) to identify differential interaction partners of CHPKs from seven different human herpesviruses, finding Cyclin A and associated factors as a specific signature of β-herpesvirus kinases.

    • Boris Bogdanow
    • Max Schmidt
    • Lüder Wiebusch
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-13
  • Improvements in European freshwater biodiversity occurred mainly before 2010 but have since plateaued, and communities downstream of dams, urban areas and cropland were less likely to experience recovery.

    • Peter Haase
    • Diana E. Bowler
    • Ellen A. R. Welti
    ResearchOpen Access
    Nature
    Volume: 620, P: 582-588
  • Here, the authors combine bathymetry and sediment echosound data to present a submarine, volcanic map of the Tristan de la Cunha region. They find that the youngest volcanic expression of the Tristan de la Cunha mantle plume is currently located to the (south-) west of the island.

    • Wolfram H. Geissler
    • Paul Wintersteller
    • Wilfried Jokat
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-15
  • 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
  • Primary lymphomas of the central nervous system (PCNSL) are defined as diffuse large B-cell lymphomas (DLBCL) confined to the CNS. Here, the authors complete whole genome sequencing and RNA-seq to characterize 51 PCNSLs, and find common mutations in immune pathways and upregulated TERT expression and find distinct pathway differences between DLBCL and other primary CNS lymphomas.

    • Josefine Radke
    • Naveed Ishaque
    • Frank L. Heppner
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-20
  • Focusing on two ill-characterized subtypes of medulloblastoma (group 3 and group 4), this study identifies prevalent genomic structural variants that are restricted to these two subtypes and independently bring together coding regions of GFI1 family proto-oncogenes with active enhancer elements, leading to their mutually exclusive oncogenic activation.

    • Paul A. Northcott
    • Catherine Lee
    • Stefan M. Pfister
    Research
    Nature
    Volume: 511, P: 428-434
  • 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
  • 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
  • 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
  • Turbulent flows, such as those generating the thermonuclear flames of a supernova, are difficult to measure, so we rely on simulations for insights. The largest simulation to date reveals unexpected flow dynamics.

    • Wolfram Schmidt
    News & Views
    Nature Physics
    Volume: 2, P: 505-506
  • Medulloblastoma is the most common brain tumour in children; using whole-genome sequencing of tumour samples the authors show that the clinically challenging Group 3 and 4 tumours can be tetraploid, and reveal the expression of the first medulloblastoma fusion genes identified.

    • David T. W. Jones
    • Natalie Jäger
    • Peter Lichter
    ResearchOpen Access
    Nature
    Volume: 488, P: 100-105