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Showing 1–50 of 1223 results
Advanced filters: Author: Mark N. Miller Clear advanced filters
  • Li et al. show that a Lamassu defense system protects bacteria from phage infection by activating a lethal tetrameric DNA-cutting enzyme. In the absence of phages, a protein clamp holds the enzyme as an inactive monomer, preventing self-damage.

    • Yan Li
    • David W. Adams
    • Stephan Gruber
    Research
    Nature Structural & Molecular Biology
    P: 1-14
  • 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
  • A 1,024-channel microelectrode array is delivered to the brain cortex via a minimally invasive incision in the skull and dura, and allows recording, stimulation and neural decoding across large portions of the brain in porcine models and human neurosurgical patients.

    • Mark Hettick
    • Elton Ho
    • Benjamin I. Rapoport
    ResearchOpen Access
    Nature Biomedical Engineering
    P: 1-16
  • Over 20 species of geographically and phylogenetically diverse bird species produce convergent whining vocalizations towards their respective brood parasites. Model presentation and playback experiments across multiple continents suggest that these learned calls provoke an innate response even among allopatric species.

    • William E. Feeney
    • James A. Kennerley
    • Damián E. Blasi
    Research
    Nature Ecology & Evolution
    P: 1-13
  • High-resolution satellite data enables a unique verification of national methane emissions worldwide. Global estimates are 63 Tg a−1 for oil-gas, 30% higher than the UNFCCC reports due to under-reporting by four largest emitters, and 33 Tg a−1 for coal, consistent with previous estimates.

    • Lu Shen
    • Daniel J. Jacob
    • Jintai Lin
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-9
  • Grain boundaries strongly influence the properties of crystalline materials, but identifying their multiple phases remains difficult. Here, authors show a new tool for automated grain boundary structure prediction with an application to Ti.

    • Enze Chen
    • Tae Wook Heo
    • Timofey Frolov
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-10
  • 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
  • To date, experimental induction of hair cell regeneration in mammals leads to immature and poorly differentiated hair cells. Here the authors show that the transcription factor prdm1a plays a crucial role in specifying sensory hair cell types with loss of prdm1a in zebrafish leading to misspecification of hair cells in the sensory lateral line system into ear hair cells.

    • Jeremy E. Sandler
    • Ya-Yin Tsai
    • Tatjana Piotrowski
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-15
  • 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
  • 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
  • Here, the authors produce an updated termite classification with genomic scale analyses, highlighting thirteen family-level lineages and resilience of their classification to future termite research.

    • Simon Hellemans
    • Mauricio M. Rocha
    • Thomas Bourguignon
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-17
  • To better understand the etiology of frailty, the authors perform a large genetic study. They identified 45 additional variants and implicated MET, CHST9, ILRUN, APOE, CGREF1 and PPP6C as potential causal genes, linking frailty to immune regulation, metabolism and cellular signaling.

    • Jonathan K. L. Mak
    • Chenxi Qin
    • Juulia Jylhävä
    ResearchOpen Access
    Nature Aging
    Volume: 5, P: 1589-1600
  • 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
  • Re-examination of the presumed Cambrian fossil fish Anatolepis reveals previous misidentification of aglaspidid sensory structures as dentine, a vertebrate sensory tissue, showing it to be an arthropod, and shifting the origin of vertebrate hard tissues to the Middle Ordovician.

    • Yara Haridy
    • Sam C. P. Norris
    • Neil H. Shubin
    ResearchOpen Access
    Nature
    Volume: 642, P: 119-124
  • 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
  • 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 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • The authors use artificial intelligence approaches to explore the predictive value of whole exome sequencing in forecasting clinical outcomes following surgery for congenital heart defects. Findings include that damaging genotypes in chromatin-modifying and cilia-related genes are associated with an increased risk of adverse post-operative outcomes such as mortality, cardiac arrest, and prolonged mechanical ventilation.

    • W. Scott Watkins
    • Edgar J. Hernandez
    • Martin Tristani-Firouzi
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-11
  • Comprehensive integration of gene expression with epigenetic features is needed to understand the transition of kidney cells from health to injury. Here, the authors integrate dual single nucleus RNA expression and chromatin accessibility, DNA methylation, and histone modifications to decipher the chromatin landscape of the kidney in reference and adaptive injury cell states, identifying a transcription factor network of ELF3, KLF6, and KLF10 which regulates adaptive repair and maladaptive failed repair.

    • Debora L. Gisch
    • Michelle Brennan
    • Michael T. Eadon
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-21
  • 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
  • This study describes the integrative analysis of 111 reference human epigenomes, profiled for histone modification patterns, DNA accessibility, DNA methylation and RNA expression; the results annotate candidate regulatory elements in diverse tissues and cell types, their candidate regulators, and the set of human traits for which they show genetic variant enrichment, providing a resource for interpreting the molecular basis of human disease.

    • Anshul Kundaje
    • Wouter Meuleman
    • Manolis Kellis
    ResearchOpen Access
    Nature
    Volume: 518, P: 317-330
  • 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