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Showing 1–50 of 637 results
Advanced filters: Author: Matthew Collins Clear advanced filters
  • An analysis of 24,202 critical cases of COVID-19 identifies potentially druggable targets in inflammatory signalling (JAK1), monocyte–macrophage activation and endothelial permeability (PDE4A), immunometabolism (SLC2A5 and AK5), and host factors required for viral entry and replication (TMPRSS2 and RAB2A).

    • Erola Pairo-Castineira
    • Konrad Rawlik
    • J. Kenneth Baillie
    ResearchOpen Access
    Nature
    Volume: 617, P: 764-768
  • In this Stage 2 Registered Report, Buchanan et al. show evidence confirming the phenomenon of semantic priming across speakers of 19 diverse languages.

    • Erin M. Buchanan
    • Kelly Cuccolo
    • Savannah C. Lewis
    Research
    Nature Human Behaviour
    P: 1-20
  • A global network of researchers was formed to investigate the role of human genetics in SARS-CoV-2 infection and COVID-19 severity; this paper reports 13 genome-wide significant loci and potentially actionable mechanisms in response to infection.

    • Mari E. K. Niemi
    • Juha Karjalainen
    • Chloe Donohue
    ResearchOpen Access
    Nature
    Volume: 600, P: 472-477
  • 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
  • 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
  • Whole-genome sequencing, transcriptome-wide association and fine-mapping analyses in over 7,000 individuals with critical COVID-19 are used to identify 16 independent variants that are associated with severe illness in COVID-19.

    • Athanasios Kousathanas
    • Erola Pairo-Castineira
    • J. Kenneth Baillie
    ResearchOpen Access
    Nature
    Volume: 607, P: 97-103
  • The results from a state-of-the-art suite of hydrodynamical cosmological zoom-in simulations show how globular clusters naturally emerge in the Standard Cosmology and also reveal the existence of a new class of object called globular-cluster-like dwarfs.

    • Ethan D. Taylor
    • Justin I. Read
    • Robert M. Yates
    ResearchOpen Access
    Nature
    Volume: 645, P: 327-331
  • 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
  • New field measurements and modeling show meltwater refreezing in Greenland’s bare ice may reduce runoff to surrounding oceans, highlighting a process climate models can incorporate for improved predictions of future sea-level rise.

    • Matthew G. Cooper
    • Laurence C. Smith
    • Dirk van As
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-11
  • Ni, Wei, Vona and colleagues use human brain organoids to dissect patient AIRIM variants associated with neurodevelopmental features. A subset of variants impaired ribosome production and protein synthesis, and delayed radial glial cell specification.

    • Chunyang Ni
    • Yudong Wei
    • Michael Buszczak
    ResearchOpen Access
    Nature Cell Biology
    Volume: 27, P: 1240-1255
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • A versatile, human iPSC-derived nephron engineering platform that permits scrutiny of axial patterning mechanisms is critical for identifying the origins of human kidney disease. Here they describe a system in which synchronized human nephron structures are generated from pluripotent stem cells, enabling manipulation of axial segmentation.

    • MaryAnne A. Achieng
    • Jack Schnell
    • Nils O. Lindström
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-18
  • 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
  • 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
  • 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
  • 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
  • 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
  • Analysis of data from multiple instruments reveals a giant exoplanet in orbit around the 0.2-solar-mass star TOI-6894. The existence of this exoplanetary system challenges assumptions about planet formation and it is an excellent target for atmospheric characterization.

    • Edward M. Bryant
    • Andrés Jordán
    • Sebastián Zúñiga-Fernández
    ResearchOpen Access
    Nature Astronomy
    Volume: 9, P: 1031-1044
  • This Perspective from Summerfield et al. considers the impacts of advanced artificial intelligence systems on the process and function of democracy. The authors explore a wide range of potential risks and opportunities.

    • Christopher Summerfield
    • Lisa P. Argyle
    • Matthew Botvinick
    Reviews
    Nature Human Behaviour
    P: 1-11
  • Multisystem inflammatory syndrome in children (MIS-C) onsets in COVID-19 patients with manifestations similar to Kawasaki disease (KD). Here the author probe the peripheral blood transcriptome of MIS-C patients to find signatures related to natural killer (NK) cell activation and CD8+ T cell exhaustion that are shared with KD patients.

    • Noam D. Beckmann
    • Phillip H. Comella
    • Alexander W. Charney
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-15
  • Whole-genome sequencing analysis of individuals with primary immunodeficiency identifies new candidate disease-associated genes and shows how the interplay between genetic variants can explain the variable penetrance and complexity of the disease.

    • James E. D. Thaventhiran
    • Hana Lango Allen
    • Kenneth G. C. Smith
    Research
    Nature
    Volume: 583, P: 90-95
  • A study of the evolution of the SARS-CoV-2 virus in England between September 2020 and June 2021 finds that interventions capable of containing previous variants were insufficient to stop the more transmissible Alpha and Delta variants.

    • Harald S. Vöhringer
    • Theo Sanderson
    • Moritz Gerstung
    ResearchOpen Access
    Nature
    Volume: 600, P: 506-511
  • A preclinical covalent compound, CMX410, contains a aryl fluorosulfate warhead that targets the acyltransferase domain of Mtb Pks13, an essential enzyme in cell-wall biosynthesis, making it a promising candidate for tuberculosis treatment regimens.

    • Inna V. Krieger
    • Paridhi Sukheja
    • Case W. McNamara
    Research
    Nature
    Volume: 645, P: 755-763
  • A large empirical assessment of sequence-resolved structural variants from 14,891 genomes across diverse global populations in the Genome Aggregation Database (gnomAD) provides a reference map for disease-association studies, population genetics, and diagnostic screening.

    • Ryan L. Collins
    • Harrison Brand
    • Michael E. Talkowski
    ResearchOpen Access
    Nature
    Volume: 581, P: 444-451
  • Chronic infection with SARS-CoV-2 leads to the emergence of viral variants that show reduced susceptibility to neutralizing antibodies in an immunosuppressed individual treated with convalescent plasma.

    • Steven A. Kemp
    • Dami A. Collier
    • Ravindra K. Gupta
    Research
    Nature
    Volume: 592, P: 277-282
  • Sera from vaccinated individuals and some monoclonal antibodies show a modest reduction in neutralizing activity against the B.1.1.7 variant of SARS-CoV-2; but the E484K substitution leads to a considerable loss of neutralizing activity.

    • Dami A. Collier
    • Anna De Marco
    • Ravindra K. Gupta
    Research
    Nature
    Volume: 593, P: 136-141