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Showing 1–50 of 134 results
Advanced filters: Author: Kevin Quinn 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
  • The grading systems used by in vitro fertilization clinics cannot determine reliably whether a given embryo will lead to a successful pregnancy. Wong et al. address one part of this problem by showing that development of an embryo to the blastocyst stage can be predicted with high confidence at day 2 post fertilization.

    • Connie C Wong
    • Kevin E Loewke
    • Renee A Reijo Pera
    Research
    Nature Biotechnology
    Volume: 28, P: 1115-1121
  • Abnormal human embryo development is implicated in the embryo arrest observed during in vitrofertilization. Chavez and colleagues perform time-lapse imaging on human embryos and find that chromosomally abnormal embryos exhibit diverse cell cycle parameters that may contribute to arrest.

    • Shawn L. Chavez
    • Kevin E. Loewke
    • Renee A. Reijo Pera
    ResearchOpen Access
    Nature Communications
    Volume: 3, P: 1-12
  • The number of individuals in a given space influences animal interactions and network dynamics. Here the authors identify general rules underlying density dependence in animal networks and reveal some fundamental differences between spatial and social dynamics.

    • Gregory F. Albery
    • Daniel J. Becker
    • Shweta Bansal
    Research
    Nature Ecology & Evolution
    Volume: 9, P: 2002-2013
  • 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
  • The chromatin-remodelling enzyme ATRX and the transcription factor HNF4A are identified as pivotal regulators of colonic epithelial identity, with roles in metastasis in colorectal cancer.

    • Patrizia Cammareri
    • Michela Raponi
    • Kevin B. Myant
    ResearchOpen Access
    Nature
    Volume: 644, P: 547-556
  • 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
  • Genome-scale DNA methylation maps over early human embryogenesis and embryonic stem cell derivation provide insights into shared and unique modes of regulation when compared to the mouse model, including relationships to gene expression, transposable element activity, and maternal-specific methylation.

    • Zachary D. Smith
    • Michelle M. Chan
    • Alexander Meissner
    Research
    Nature
    Volume: 511, P: 611-615
  • 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
  • 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
  • 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
  • Spatial multi-omics analysis tools have lagged behind advancements in single-cell technologies. Here, authors introduce TACIT, a scalable tool for automated cell type and state deconvolution from spatial multi-omics datasets, improving accuracy and efficiency over existing methods.

    • Khoa L. A. Huynh
    • Katarzyna M. Tyc
    • Jinze Liu
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-18
  • 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
  • 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
  • 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
  • Petrels are wide-ranging, highly threatened seabirds that often ingest plastic. This study used tracking data for 7,137 petrels of 77 species to map global exposure risk and compare regions, species, and populations. The results show higher exposure risk for threatened species and stress the need for international cooperation to tackle marine litter.

    • Bethany L. Clark
    • Ana P. B. Carneiro
    • Maria P. Dias
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-14
  • The generation of human cell lines using somatic cell nuclear transfer has been difficult to achieve. In this study, Egliet al. show that while mouse eggs reprogram somatic cells within hours, human eggs arrest after nuclear transfer which may be due to a lack of genome transcription.

    • Dieter Egli
    • Alice E. Chen
    • Kevin Eggan
    Research
    Nature Communications
    Volume: 2, P: 1-10
  • Circulating tumour DNA profiling in early-stage non-small-cell lung cancer can be used to track single-nucleotide variants in plasma to predict lung cancer relapse and identify tumour subclones involved in the metastatic process.

    • Christopher Abbosh
    • Nicolai J. Birkbak
    • Charles Swanton
    Research
    Nature
    Volume: 545, P: 446-451
  • Increased effectiveness of anti-cancer chimeric antigen receptor T cell therapy is associated with a stem-like phenotype through increased expression of FOXO1.

    • Jack D. Chan
    • Christina M. Scheffler
    • Phillip K. Darcy
    ResearchOpen Access
    Nature
    Volume: 629, P: 201-210
  • Testicular germ cell tumors are highly heritable, and the authors present the largest genome association study, identifying 22 novel loci, which account for a third of those identified to date. Implicated pathways include male germ cell development and differentiation, and chromosomal segregation.

    • John Pluta
    • Louise C. Pyle
    • Christian Kubisch
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-13
  • The authors report on a temperate Earth-sized planet orbiting the cool M6 dwarf LP 791-18 with a radius of 1.03 ± 0.04 R and an equilibrium temperature of 300–400 K, with the permanent night side plausibly allowing for water condensation.

    • Merrin S. Peterson
    • Björn Benneke
    • Thomas Barclay
    Research
    Nature
    Volume: 617, P: 701-705
  • Meta-analysis of genome-wide association studies on Alzheimer’s disease and related dementias identifies new loci and enables generation of a new genetic risk score associated with the risk of future Alzheimer’s disease and dementia.

    • Céline Bellenguez
    • Fahri Küçükali
    • Jean-Charles Lambert
    ResearchOpen Access
    Nature Genetics
    Volume: 54, P: 412-436
  • 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