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Showing 1–50 of 138 results
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  • Typical quantum error correcting codes assign fixed roles to the underlying physical qubits. Now the performance benefits of alternative, dynamic error correction schemes have been demonstrated on a superconducting quantum processor.

    • Alec Eickbusch
    • Matt McEwen
    • Alexis Morvan
    ResearchOpen Access
    Nature Physics
    Volume: 21, P: 1994-2001
  • In this attempt at xenotransplantation of a lung from a genetically modified pig into a brain-dead recipient, although the grafted lung initially maintained viability and functionality, antibody-mediated rejection rapidly occurred, contributing to xenograft damage.

    • Jianxing He
    • Jiang Shi
    • Xin Xu
    Research
    Nature Medicine
    Volume: 31, P: 3388-3393
  • Cationic polymers conventionally kill bacteria via physical membrane disruptions. Here, the authors report the development of carbon acid cationic polymers that show potent activity against multidrug-resistant strains in murine infection models and prevent bovine mastitis, and present evidence that these polymers translocate across bacterial membrane aided by N-heterocyclic carbene.

    • Chong Hui Koh
    • Mallikharjuna Rao Lambu
    • Mary B. Chan-Park
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-18
  • Experimental measurements of high-order out-of-time-order correlators on a superconducting quantum processor show that these correlators remain highly sensitive to the quantum many-body dynamics in quantum computers at long timescales.

    • Dmitry A. Abanin
    • Rajeev Acharya
    • Nicholas Zobrist
    ResearchOpen Access
    Nature
    Volume: 646, P: 825-830
  • Polyploidy and subsequent post-polyploid diploidization (PPD) contribute to evolutionary success of plant species. Here, using 11 genomes from all nine subfamilies of Malvaceae as an example, the authors provide evidence to support the “polyploidy for survival and PPD for success” hypothesis.

    • Ren-Gang Zhang
    • Hang Zhao
    • Yong-Peng Ma
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-18
  • Structural variations (SV) contribute to inter-individual variability. Here, the authors describe a first-generation multi-ancestry Asian SV catalogue containing 73,035 SVs from 8392 Singaporeans to provide insights into Asian SV diversity.

    • Joanna Hui Juan Tan
    • Zhihui Li
    • Nicolas Bertin
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-15
  • Cell type labelling in single-cell datasets remains a major bottleneck. Here, the authors present AnnDictionary, an open-source toolkit that enables atlas-scale analysis and provides the first benchmark of LLMs for de novo cell type annotation from marker genes, showing high accuracy at low cost.

    • George Crowley
    • Robert C. Jones
    • Stephen R. Quake
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-14
  • In this Stage 2 Registered Report, Buchanan et al. show evidence confirming the phenomenon of semantic priming across speakers of 19 diverse languages.

    • Erin M. Buchanan
    • Kelly Cuccolo
    • Savannah C. Lewis
    Research
    Nature Human Behaviour
    Volume: 10, P: 182-201
  • Clinically significant genetic variation in Asian populations is under-characterized. Here, the authors show the diversity in prevalence and spectrum of human disease and pharmacogenetic variants in a multi-ethnic Asian population.

    • Sock Hoai Chan
    • Yasmin Bylstra
    • Weng Khong Lim
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-15
  • Predicting non-native species’ invasiveness and vulnerability of communities to invasions is challenging. Here, the authors show that establishment of non-native freshwater fish species in the US depends on the functional characteristics of both non-native and resident species.

    • Guohuan Su
    • Adam Mertel
    • Justin M. Calabrese
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-12
  • Tailored to provide diabetes management recommendations from large training and validation datasets, an artificial intelligence system integrating language and computer vision capabilities is shown to improve self-management of patients in a prospective implementation study.

    • Jiajia Li
    • Zhouyu Guan
    • Tien Yin Wong
    ResearchOpen Access
    Nature Medicine
    Volume: 30, P: 2886-2896
  • Two below-threshold surface code memories on superconducting processors markedly reduce logical error rates, achieving high efficiency and real-time decoding, indicating potential for practical large-scale fault-tolerant quantum algorithms.

    • Rajeev Acharya
    • Dmitry A. Abanin
    • Nicholas Zobrist
    ResearchOpen Access
    Nature
    Volume: 638, P: 920-926
  • Examining drivers of the latitudinal biodiversity gradient in a global database of local tree species richness, the authors show that co-limitation by multiple environmental and anthropogenic factors causes steeper increases in richness with latitude in tropical versus temperate and boreal zones.

    • Jingjing Liang
    • Javier G. P. Gamarra
    • Cang Hui
    Research
    Nature Ecology & Evolution
    Volume: 6, P: 1423-1437
  • Jayavelu, Samaha et al., apply machine learning models on hospital admission data, including antibody titers and viral load, to identify patients at high risk for Long COVID. Low antibody levels, high viral loads, chronic diseases, and female sex are key predictors, supporting early, targeted interventions.

    • Naresh Doni Jayavelu
    • Hady Samaha
    • Matthew C. Altman
    ResearchOpen Access
    Communications Medicine
    Volume: 6, P: 1-10
  • Temporal changes in brain dynamics are linked with cognitive abilities, but neither their stability nor relationship to psychosis is clear. Here, authors describe the dynamic neural architecture in healthy controls and patients with psychosis and find that they are stable over time and can predict psychotic symptoms.

    • Jenna M. Reinen
    • Oliver Y. Chén
    • Avram J. Holmes
    ResearchOpen Access
    Nature Communications
    Volume: 9, 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
  • 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
  • The Cancer Genome Atlas presents an integrative genome-wide analysis of genetic alterations in 279 head and neck squamous cell carcinomas (HNSCCs), which are classified by human papillomavirus (HPV) status; alterations in EGFR, FGFR, PIK3CA and cyclin-dependent kinases are shown to represent candidate targets for therapeutic intervention in most HNSCCs.

    • Michael S. Lawrence
    • Carrie Sougnez
    • Wendell G. Yarbrough
    ResearchOpen Access
    Nature
    Volume: 517, P: 576-582
  • The established means of bandgap control in semiconductors are based on chemical, electrical or optical doping. Here, the authors report wide bandgap modulations in monolayer WS2 at room temperature by coupling the 2D semiconductor to a self-assembled plasmonic crystal inducing coherent hot electron doping.

    • Yu-Hui Chen
    • Ronnie R. Tamming
    • Min Qiu
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-8
  • The Bloomberg New Economy International Cancer Coalition brings together academia, industry, government, patient advocacy and policy think tanks to leverage technology and collaboration to improve patient access to clinical trials and to harmonize regulations aiming to accelerate cancer cures and prevention worldwide in the post-pandemic era.

    • Bob T. Li
    • Bobby Daly
    • Yi-Long Wu
    Comments & Opinion
    Nature Medicine
    Volume: 28, P: 620-626
  • Bulk RNA sequencing of organs and plasma proteomics at different ages across the mouse lifespan is integrated with data from the Tabula Muris Senis, a transcriptomic atlas of ageing mouse tissues, to describe organ-specific changes in gene expression during ageing.

    • Nicholas Schaum
    • Benoit Lehallier
    • Tony Wyss-Coray
    Research
    Nature
    Volume: 583, P: 596-602
  • Extensive characterization of the stem and progenitor cell hierarchies of myelodysplastic syndromes reveals compensatory survival mechanisms underpinning the failure of hypomethylating agents, and uncovers biomarkers that predict second-line clinical response to venetoclax-based therapy.

    • Irene Ganan-Gomez
    • Hui Yang
    • Simona Colla
    ResearchOpen Access
    Nature Medicine
    Volume: 28, P: 557-567
  • Guillaume Bourque and colleagues report genome-wide binding profiles of the OCT4, NANOG and CTCF proteins in human ES cells as determined by ChIP-sequencing. They find that the binding profiles of OCT4 and NANOG are different in human and mouse ES cells, and some of the differences in bound sites are due to transposable elements.

    • Galih Kunarso
    • Na-Yu Chia
    • Guillaume Bourque
    Research
    Nature Genetics
    Volume: 42, P: 631-634