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Showing 1–50 of 94 results
Advanced filters: Author: Jake Y. Henry Clear advanced filters
  • Federated learning (FL) algorithms have emerged as a promising solution to train models for healthcare imaging across institutions while preserving privacy. Here, the authors describe the Federated Tumor Segmentation (FeTS) challenge for the decentralised benchmarking of FL algorithms and evaluation of Healthcare AI algorithm generalizability in real-world cancer imaging datasets.

    • Maximilian Zenk
    • Ujjwal Baid
    • Spyridon Bakas
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-20
  • A combined sequencing technique assesses 18 patients with high-grade serous ovarian cancer over a multi-year period from diagnosis to recurrence and shows drug resistance typically arises from selective expansion of one or a few clones present at diagnosis.

    • Marc J. Williams
    • Ignacio Vázquez-García
    • Sohrab P. Shah
    ResearchOpen Access
    Nature
    P: 1-9
  • The kākāpō is an intensively managed parrot endemic to New Zealand. Using genome sequencing data for all living kākāpō together with long-term phenotypic data, the authors devise an approach to identify genetic associations with fitness traits, which is informing species recovery plans.

    • Joseph Guhlin
    • Marissa F. Le Lec
    • Peter K. Dearden
    Research
    Nature Ecology & Evolution
    Volume: 7, P: 1693-1705
  • 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
  • Through analysis of developing chick embryos and in vitro differentiation of embryonic stem cells, a study develops a method to generate a model of the human trunk with a notochord.

    • Tiago Rito
    • Ashley R. G. Libby
    • James Briscoe
    ResearchOpen Access
    Nature
    Volume: 637, P: 673-682
  • 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
  • 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
  • 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 whole-genome sequencing data across 2,658 tumors spanning 38 cancer types shows that chromothripsis is pervasive, with a frequency of more than 50% in several cancer types, contributing to oncogene amplification, gene inactivation and cancer genome evolution.

    • Isidro Cortés-Ciriano
    • Jake June-Koo Lee
    • Christian von Mering
    ResearchOpen Access
    Nature Genetics
    Volume: 52, P: 331-341
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • An analysis of the impact of logging intensity on biodiversity in tropical forests in Sabah, Malaysia, identifies a threshold of tree biomass removal below which logged forests still have conservation value.

    • Robert M. Ewers
    • C. David L. Orme
    • Cristina Banks-Leite
    ResearchOpen Access
    Nature
    Volume: 631, P: 808-813
  • 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
  • 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
  • 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
  • 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
  • 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
  • Here the authors use single-cell RNA-seq to profile the transmission stages of the human malaria parasite Plasmodium falciparum as it progresses through the Anopheles mosquito. They highlight unique patterns of gene usage throughout this development and identify potential pleiotropic genes that function at multiple life cycle stages.

    • Eliana Real
    • Virginia M. Howick
    • Mara K. N. Lawniczak
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-13
  • A spectroscopic thermal phase curve of GJ 1214b obtained with the JWST in the mid-infrared is reported and a planet with a high metallicity atmosphere blanketed by thick and reflective clouds or haze is found.

    • Eliza M.-R. Kempton
    • Michael Zhang
    • Peter McGill
    Research
    Nature
    Volume: 620, P: 67-71
  • Enzymes for poly(ethylene terephthalate) (PET) deconstruction are of interest for plastics recycling, but reports on their directed evolution are missing. Now, an automated, high-throughput directed evolution platform is described, affording HotPETase that effectively achieves depolymerization above the glass transition temperature of PET.

    • Elizabeth L. Bell
    • Ross Smithson
    • Anthony P. Green
    Research
    Nature Catalysis
    Volume: 5, P: 673-681
  • The generation of primitive macrophages remains a poorly understood process in humans. Here, the authors identify placental erythro-myeloid progenitors that give rise to foetal macrophages in the early human placenta and demonstrate that epigenetic silencing of the class II transactivator leads to downregulation of HLA-DR in these cells.

    • Jake R. Thomas
    • Anna Appios
    • Naomi McGovern
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-16
  • RNA sequencing data and tumour pathology observations of non-small-cell lung cancers indicate that the immune cell microenvironment exerts strong evolutionary selection pressures that shape the immune-evasion capacity of tumours.

    • Rachel Rosenthal
    • Elizabeth Larose Cadieux
    • Andrew Kidd
    Research
    Nature
    Volume: 567, P: 479-485
  • A platform developed for rapid isolation of SARS-CoV-2 variants also facilitates the characterization of variant immune evasion and viral fitness. The platform enabled rapid detection of the Omicron variant in samples of the first cases in Australia.

    • Anupriya Aggarwal
    • Alberto Ospina Stella
    • Stuart G. Turville
    ResearchOpen Access
    Nature Microbiology
    Volume: 7, P: 896-908
  • Invertebrates are key components in the ecological functioning of tropical forests. Here, Ewers et al. show that, compared to primary forest, logging halves the contribution of invertebrate species to several key ecosystem processes, including litter decomposition.

    • Robert M. Ewers
    • Michael J. W. Boyle
    • Edgar C. Turner
    ResearchOpen Access
    Nature Communications
    Volume: 6, P: 1-7
  • Neuroendocrine carcinomas (NECs) arise from different anatomic sites, but have similar histological and clinical features. Here, the authors show that the epigenetic landscape of a range of NECs converges towards a common epigenetic state, while distinct subtypes occur within neuroendocrine prostate cancer contributing to intratumor heterogeneity in clinical samples.

    • Paloma Cejas
    • Yingtian Xie
    • Henry W. Long
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-11
  • Analysis of mitochondrial genomes (mtDNA) by using whole-genome sequencing data from 2,658 cancer samples across 38 cancer types identifies hypermutated mtDNA cases, frequent somatic nuclear transfer of mtDNA and high variability of mtDNA copy number in many cancers.

    • Yuan Yuan
    • Young Seok Ju
    • Christian von Mering
    ResearchOpen Access
    Nature Genetics
    Volume: 52, P: 342-352
  • Alzheimer’s disease has been associated with increased structural brain aging. Here the authors describe a model that predicts brain aging from resting state functional connectivity data, and demonstrate this is accelerated in individuals with pre-clinical familial Alzheimer’s disease.

    • Julie Gonneaud
    • Alex T. Baria
    • Etienne Vachon-Presseau
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-17
  • Sarcomas are rare tumours with many different subtypes and clinical outcomes; a broader knowledge of their genetic features is required. Here, the authors analyse 2138 soft tissue and bone sarcomas across 45 subtypes using MSK-IMPACT targeted sequencing and find genomic groups that are distinct from histological subgroups.

    • Benjamin A. Nacev
    • Francisco Sanchez-Vega
    • William D. Tap
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-15
  • COVID-19 can be associated with neurological complications. Here the authors show that markers of brain injury, but not immune markers, are elevated in the blood of patients with COVID-19 both early and months after SARS-CoV-2 infection, particularly in those with brain dysfunction or neurological diagnoses.

    • Benedict D. Michael
    • Cordelia Dunai
    • David K. Menon
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-15