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Showing 1–50 of 817 results
Advanced filters: Author: Elizabeth Duke Clear advanced filters
  • A study of several longitudinal birth cohorts and cross-sectional cohorts finds only moderate overlap in genetic variants between autism that is diagnosed earlier and that diagnosed later, so they may represent aetiologically different conditions.

    • Xinhe Zhang
    • Jakob Grove
    • Varun Warrier
    ResearchOpen Access
    Nature
    P: 1-12
  • Understanding collective behaviour is an important aspect of managing the pandemic response. Here the authors show in a large global study that participants that reported identifying more strongly with their nation reported greater engagement in public health behaviours and support for public health policies in the context of the pandemic.

    • Jay J. Van Bavel
    • Aleksandra Cichocka
    • Paulo S. Boggio
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-14
  • Glioblastoma (GBM) is an aggressive tumor characterized by an immunosuppressive microenvironment. Here, the authors present a therapeutic approach based on the implantation of a biodegradable scaffold for the sustained, local release of a TLR7/8 agonist at the time of tumor resection, to achieve anti-tumor immunity and protection from future tumor challenge.

    • Elizabeth G. Graham-Gurysh
    • Ryan N. Woodring
    • Kristy M. Ainslie
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-15
  • Analysis combining multiple global tree databases reveals that whether a location is invaded by non-native tree species depends on anthropogenic factors, but the severity of the invasion depends on the native species diversity.

    • Camille S. Delavaux
    • Thomas W. Crowther
    • Daniel S. Maynard
    ResearchOpen Access
    Nature
    Volume: 621, P: 773-781
  • A pan-betacoronavirus vaccine will likely require the elicitation of antibodies against spike regions conserved across diverse coronaviruses. Here, authors computationally engineer and experimentally validate immunogens to elicit antibodies against two such spike regions.

    • A. Brenda Kapingidza
    • Daniel J. Marston
    • Mihai L. Azoitei
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-18
  • 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 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
  • Using longitudinal survey and neuroimaging data from more than 11,000 adolescents in the United States, a machine learning model shows promising performance in identifying individuals at greater risk of transitioning to psychopathology, pinpointing sleep disturbances as the most predictive risk factor.

    • Elliot D. Hill
    • Pratik Kashyap
    • Jonathan Posner
    Research
    Nature Medicine
    Volume: 31, P: 1840-1846
  • Deep clinical phenotyping at 28–60 days post-discharge of patients who had been hospitalized with COVID-19 and subsequent long-term follow-up with electronic health records reveal evidence of persistent cardio-renal involvement.

    • Andrew J. Morrow
    • Robert Sykes
    • Colin Berry
    ResearchOpen Access
    Nature Medicine
    Volume: 28, P: 1303-1313
  • 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
  • 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
  • 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
  • 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
  • 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
  • DART (drug acutely restricted by tethering) enables the manipulation of native receptors on genetically defined neurons. This work describes second-generation DART reagents for manipulating GABAA and AMPA receptors with higher cellular specificity than previously achieved.

    • Brenda C. Shields
    • Haidun Yan
    • Michael R. Tadross
    Research
    Nature Methods
    Volume: 21, P: 1288-1297
  • The specifics of the pediatric immune response that gives rise to antibodies capable of neutralising diverse HIV-1 strains is not fully understood. Here the authors characterise the immune environment of Simian-HIV infected paediatric macaques and link to antibody neutralisation induction.

    • Sommer Holmes
    • Hui Li
    • Wilton B. Williams
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-23
  • RNA sensing-mediated payload expression provides a specific, versatile, simple and generalizable means of detecting and manipulating animal cells with broad potential applications.

    • Yongjun Qian
    • Jiayun Li
    • Z. Josh Huang
    Research
    Nature
    Volume: 610, P: 713-721
  • Species’ traits and environmental conditions determine the abundance of tree species across the globe. Here, the authors find that dominant tree species are taller and have softer wood compared to rare species and that these trait differences are more strongly associated with temperature than water availability.

    • Iris Hordijk
    • Lourens Poorter
    • Thomas W. Crowther
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-15
  • This Review discusses multiomic approaches for the characterization and biological understanding of cellular senescence, including detailed case studies on skeletal muscle and adipose tissue that highlight current outstanding issues in the field.

    • Sheng Li
    • Paula A. Agudelo Garcia
    • Rong Fan
    Reviews
    Nature Genetics
    Volume: 57, P: 2381-2394
  • The influence of pregnancy on Long COVID is not well understood. Here, the authors use electronic health record data from the United States to compare the incidence of Long COVID in females after infection in pregnancy with matched non-pregnant females of reproductive age.

    • Chengxi Zang
    • Daniel Guth
    • Thomas W. Carton
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-14
  • The systemic immune features that distinguish COVID-19 from common infections remain incompletely elucidated. Here McClain et al. compare RNA sequencing in peripheral blood between subjects with SARS-CoV-2 and other respiratory infections and demonstrate dysregulated immune responses in COVID-19 with both heterogeneous and conserved components.

    • Micah T. McClain
    • Florica J. Constantine
    • Christopher W. Woods
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-8