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Showing 1–50 of 678 results
Advanced filters: Author: Nicholas M. I. Taylor Clear advanced filters
  • Affinity-proteomics platforms often yield poorly correlated measurements. Here, the authors show that protein-altering variants drive a portion of inter-platform inconsistency and that accounting for genetic variants can improve concordance of protein measures and phenotypic associations across ancestries.

    • Jayna C. Nicholas
    • Daniel H. Katz
    • Laura M. Raffield
    ResearchOpen Access
    Nature Communications
    Volume: 17, P: 1-21
  • Marín-Arraiza and colleagues report the cryo-EM structures of an extracellular contractile injection system from Photorhabdus luminescens in extended and contracted states, providing structural insight into its architecture and contraction mechanism.

    • Leyre Marín-Arraiza
    • Aritz Roa-Eguiara
    • Nicholas M. I. Taylor
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-15
  • A liquid-crystal-in-oil emulsion system exhibits bistable opacity or transparency, with rapid switching between the two, faster than, for example, electrochromics that can be found in smart windows.

    • Sangchul Roh
    • Youlim Ha
    • Nicholas L. Abbott
    Research
    Nature
    Volume: 643, P: 1281-1287
  • Water-vapor interfaces have been studied with many techniques, yet open questions persist about their electronic and molecular structure. Here, the authors demonstrate the application of soft x-ray second harmonic generation to study the water surface by leveraging attosecond pulses at the LCLS and a flat liquid sheet microjet, providing insights on the H-bond structure.

    • David J. Hoffman
    • Shane W. Devlin
    • Jake D. Koralek
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-13
  • Distinguishing treatment failure from reinfection is crucial for assessing antimalarial efficacy in endemic regions. Here the authors introduce the probabilistic classifier PfRecur, a software utilizing Bayesian analysis to improve accuracy in identifying treatment failures in polyclonal infections, and apply it to data from Angola.

    • Somya Mehra
    • Aimee R. Taylor
    • James A. Watson
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-13
  • Here the authors provide an explanation for 95% of examined predicted loss of function variants found in disease-associated haploinsufficient genes in the Genome Aggregation Database (gnomAD), underscoring the power of the presented analysis to minimize false assignments of disease risk.

    • Sanna Gudmundsson
    • Moriel Singer-Berk
    • Anne O’Donnell-Luria
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-14
  • Here, authors introduce SINDy-RL, a framework that combines sparse system identification with reinforcement learning to yield efficient, interpretable, and high-performing control policies.

    • Nicholas Zolman
    • Christian Lagemann
    • Steven L. Brunton
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-12
  • The authors theoretically delineate the maximal increases in tree growth that can be expected from increases in plant intrinsic water-use efficiency, which increases with rising CO2. They highlight environmental and physiological limits on growth in the context of experimental data.

    • Quan Zhang
    • Jiawei Zhang
    • Gabriel G. Katul
    Research
    Nature Climate Change
    Volume: 16, P: 87-94
  • 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
  • Activity in a set of parabranchial neurons in the mouse brain is increased during chronic pain, predicts coping behaviour, and can be modulated by circuits activated by survival threats.

    • Nitsan Goldstein
    • Amadeus Maes
    • J. Nicholas Betley
    ResearchOpen Access
    Nature
    Volume: 647, P: 689-697
  • 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
  • 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
  • Diffusion models are reframed by developing a generative blood cell classifier that performs reliably in low-data regimes, adapts to domain shifts, detects anomalies with robustness and provides uncertainty estimates that surpass clinical expert benchmarks.

    • Simon Deltadahl
    • Julian Gilbey
    • Parashkev Nachev
    ResearchOpen Access
    Nature Machine Intelligence
    Volume: 7, P: 1791-1803
  • Inbreeding depression has been observed in many different species, but in humans a systematic analysis has been difficult so far. Here, analysing more than 1.3 million individuals, the authors show that a genomic inbreeding coefficient (FROH) is associated with disadvantageous outcomes in 32 out of 100 traits tested.

    • David W Clark
    • Yukinori Okada
    • James F Wilson
    ResearchOpen Access
    Nature Communications
    Volume: 10, P: 1-17
  • A meta-analysis of genome-wide association studies of type 2 diabetes (T2D) identifies more than 600 T2D-associated loci; integrating physiological trait and single-cell chromatin accessibility data at these loci sheds light on heterogeneity within the T2D phenotype.

    • Ken Suzuki
    • Konstantinos Hatzikotoulas
    • Eleftheria Zeggini
    ResearchOpen Access
    Nature
    Volume: 627, P: 347-357
  • 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
  • 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 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
  • 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
  • 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
  • Using data from a single time point, passenger-approximated clonal expansion rate (PACER) estimates the fitness of common driver mutations that lead to clonal haematopoiesis and identifies TCL1A activation as a mediator of clonal expansion.

    • Joshua S. Weinstock
    • Jayakrishnan Gopakumar
    • Siddhartha Jaiswal
    Research
    Nature
    Volume: 616, P: 755-763
  • A large genome-wide association study of more than 5 million individuals reveals that 12,111 single-nucleotide polymorphisms account for nearly all the heritability of height attributable to common genetic variants.

    • Loïc Yengo
    • Sailaja Vedantam
    • Joel N. Hirschhorn
    ResearchOpen Access
    Nature
    Volume: 610, P: 704-712
  • In this study, Aggarwal and colleagues perform prospective sequencing of SARS-CoV-2 isolates derived from asymptomatic student screening and symptomatic testing of students and staff at the University of Cambridge. They identify important factors that contributed to within university transmission and onward spread into the wider community.

    • Dinesh Aggarwal
    • Ben Warne
    • Ian G. Goodfellow
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-16
  • 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
  • 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
  • Dormant liver stages of Plasmodium vivax complicate malaria elimination efforts by causing relapses that obscure the efficacy of antimalarial treatments. Here, the authors develop a high-throughput amplicon sequencing assay to reconstruct P. vivax lineages, demonstrating its capacity for geospatial infection tracking, and distinguishing recurrent malaria caused by new infections versus untreated dormant liver stages.

    • Mariana Kleinecke
    • Edwin Sutanto
    • Sarah Auburn
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-14
  • 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
  • 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 metabolic dependencies of androgen receptor (AR)-driven growth in prostate adenocarcinoma are largely unknown but could represent a therapeutic target when hormonal manipulations fail. Here the authors demonstrate that the mitochondrial pyruvate carrier (MPC) is transcriptionally regulated by AR and that MPC inhibition suppresses tumour growth in hormone-responsive and castrate-resistant conditions.

    • David A. Bader
    • Sean M. Hartig
    • Sean E. McGuire
    Research
    Nature Metabolism
    Volume: 1, P: 70-85
  • This work describes an informatic framework to identify multi-allelic markers in the genome of the malaria-causing Plasmodium vivax parasite that can inform on familial relatedness between infections. Spatial and temporal transmission patterns are demonstrated with an example marker set.

    • Sasha V. Siegel
    • Hidayat Trimarsanto
    • Sarah Auburn
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-16