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Showing 1–50 of 214 results
Advanced filters: Author: Tim Newton Clear advanced filters
  • VIP interneurons have been shown to disinhibit pyramidal neurons by inhibiting other interneuron types. Here, the authors report that ChAT-VIP subtype of interneurons directly excite pyramidal neurons in multiple layers via fast cholinergic neurotransmission.

    • Joshua Obermayer
    • Antonio Luchicchi
    • Huibert D. Mansvelder
    ResearchOpen Access
    Nature Communications
    Volume: 10, P: 1-14
  • 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
  • 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
  • Crossed-beam reactive scattering experiments of a nucleophilic substitution reaction show a dynamic isotope effect with a remarkable deviation from quasiclassical calculations, which is evidence for quantum dynamics in this ion-molecule reaction.

    • Atilay Ayasli
    • Arnab Khan
    • Roland Wester
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-10
  • Many SARS-CoV-2 infections may go undetected through conventional PCR or lateral flow tests. Here, the authors analyse the utility of analysing longitudinal nucleocapsid antibody trajectories to improve identification of prior SARS-CoV-2 infections using surveillance data from the UK.

    • Leslie R. Zwerwer
    • Tim E. A. Peto
    • Chris Cunningham
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-13
  • Estimates of infection rates from the UK COVID-19 Infection Survey may have been biased by the characteristics of people who chose to take part. Here, the authors show that the survey population had unusually high vaccination rates and adjust infection estimates taking this into account.

    • Koen B. Pouwels
    • David W. Eyre
    • Chris Cunningham
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-12
  • Pycytominer is a user-friendly, open-source Python package that carries out key bioinformatics steps in image-based profiling.

    • Erik Serrano
    • Srinivas Niranj Chandrasekaran
    • Gregory P. Way
    Research
    Nature Methods
    Volume: 22, P: 677-680
  • Parvalbumin and somatostatin expressing interneurons mediate lateral inhibition between cortical neurons. Here the authors report the mechanisms by which acetylcholine from the basal forebrain selectively augments lateral inhibition via Martinotti cells and show that this is conserved in humans.

    • Joshua Obermayer
    • Tim S. Heistek
    • Huibert D. Mansvelder
    ResearchOpen Access
    Nature Communications
    Volume: 9, P: 1-14
  • 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
  • TATA-binding protein (TBP) and a transcription factor (TF) IIB-like factor are important constituents of all eukaryotic initiation complexes. Here, the authors use a DNA origami-based force clamp to investigate the assembly dynamics of human initiation complexes in the RNAP II and RNAP III systems at the single-molecule level under pico newton forces.

    • Kevin Kramm
    • Tim Schröder
    • Dina Grohmann
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-12
  • High-resolution X-ray spectra show near-solar abundances of chromium, manganese and nickel with respect to iron in the Perseus cluster, suggesting that the progenitors of type Ia supernovae could be near- and sub-Chandrasekhar-mass white dwarfs.

    • Felix Aharonian
    • Hiroki Akamatsu
    • Abderahmen Zoghbi
    Research
    Nature
    Volume: 551, P: 478-480
  • 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
  • Although the genetic basis of breast cancer has been explored, most studies have been on European populations. Here, the authors perform a genome-wide association study of breast cancer in Black South African women to identify new genetic variants associated with breast cancer risk.

    • Mahtaab Hayat
    • Wenlong C. Chen
    • Jean-Tristan Brandenburg
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-11
  • The impact of prior infection on the immune response to COVID-19 vaccination has not been fully characterised. Here, the authors use data from ~100,000 adults in the UK and find that a single vaccine dose in those with prior infection produces a comparable or stronger response to two doses in those without infection.

    • Jia Wei
    • Philippa C. Matthews
    • Chris Cunningham
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-9
  • Most people who are infected with SARS-CoV-2 seroconvert within a few weeks, but the determinants and duration of the antibody response are not known. Here, the authors characterise these features of the immune response using data from a large representative community sample of the UK population.

    • Jia Wei
    • Philippa C. Matthews
    • Chris Cunningham
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-12
  • 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