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Showing 1–50 of 193 results
Advanced filters: Author: Junjun Zhang Clear advanced filters
  • 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
  • Building a trustworthy and effective healthcare AI ecosystem requires a scheme that embodies fairness, communication-efficient characteristics, and enhanced privacy protection. Here, the authors develop a framework for healthcare institutions with varying resources to fairly collaborate on AI training while protecting patient privacy, ensuring equitable access to high-quality medical AI regardless of resource constraints.

    • Feilong Zhang
    • Deming Zhai
    • Xianming Liu
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-14
  • 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
  • The Pan-Cancer Analysis of Whole Genomes project generated a vast array of data. In this article, the authors describe five different online resources to enable readers to explore and visualize the data.

    • Mary J. Goldman
    • Junjun Zhang
    • Miguel Vazquez
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-9
  • 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
  • The performance and stability of flexible perovskite solar cells are limited by the fragile grain boundaries in perovskite films. Here, authors achieve in-situ bifacial capping to flatten the grain boundary grooves and demonstrate stable flexible inverted devices with maximum efficiency of 23.7%.

    • Junjun Jin
    • Zhenkun Zhu
    • Qidong Tai
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-11
  • 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
  • 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
  • Pure CuInSe2 solar cells suffer from strong interfacial carrier recombination. Here, the authors introduce a wide U-shaped double Ga grading with a minimum bandgap of 1.01 eV and achieve certified device efficiency of 20.26%, making it highly suitable for tandem solar cell applications.

    • Junjun Zhang
    • Zengyang Ma
    • Xudong Xiao
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-11
  • 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
  • Vibrational energy relaxation of proteins helps us to understand ultrafast protein dynamics. Here, the authors determine the vibrational energy transfer time of the amide I mode in aqueous environment and find that water provides a “shortcut” through a direct resonant channel to dissipate energy into the solvent.

    • Junjun Tan
    • Jiahui Zhang
    • Shuji Ye
    ResearchOpen Access
    Nature Communications
    Volume: 10, P: 1-6
  • Here, Yujun Wu and colleagues report that a synbiotic composed of galactooligosaccharides and Limosilactobacillus reuteri alleviates gut inflammation in animals by enriching pentadecanoic acid synthesis from Bacteroides acidifaciens, showing potential for treating ulcerative colitis.

    • Yujun Wu
    • Xiangyu Zhang
    • Junjun Wang
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-16
  • 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
  • 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
  • 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
  • Despite the structural significance of boroxines in different classes of materials, their applicability in aqueous media is limited by their hydrolytic instability. Here, the authors discovered a water-stable boroxine structure with excellent pH stability and water-compatible dynamic covalent bonds.

    • Xiaopei Li
    • Yongjie Zhang
    • Guangyan Qing
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-12
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • A micronuclear battery is built based on an autoluminescent americium–terbium compound that couples radioisotopes with energy transducers at the molecular level, resulting in an 8,000-fold enhancement in energy conversion efficiency.

    • Kai Li
    • Congchong Yan
    • Shuao Wang
    Research
    Nature
    Volume: 633, P: 811-815
  • The catalytic performance of metal‒organic frameworks can be tuned by introducing defects in their structure. Here, the authors introduce defects and impregnate ruthenium nanoparticles in cationic metal-organic frameworks, which enables enhanced recyclability and catalytic performance in D-glucose hydrogenation.

    • Wenlong Xu
    • Yuwei Zhang
    • Zhenlan Fang
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-9
  • Enteroendocrine cells in the gut sense food to regulate feeding behavior. Here, the authors show in Drosophila L-glutamate reduces the frequency of calcium oscillations in enteroendocrine cells and decreases the release of NPF, thereby reducing the activation of a pair of anorexic enteric neurons.

    • Junjun Gao
    • Song Zhang
    • Zheng Guo
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-22
  • Singly dispersed bimetallic catalysts should exhibit different behaviour and activity to bulk bimetallic species. Here, the authors fabricate isolated Rh1Co3bimetallic catalytic sites and demonstrate their high activity and selectivity for nitric oxide reduction.

    • Shiran Zhang
    • Luan Nguyen
    • Franklin Tao
    Research
    Nature Communications
    Volume: 6, P: 1-10
  • GDF11 is related to myostatin yet has no known role in postnatal bone turnover. Here the authors show that recombinant GDF11 injection causes bone loss and impairs healing by driving osteoclastogenesis while inhibiting osteoblast differentiation, plus they show that anti-GDF11 Ab can inhibit bone loss in ovariectomy and ageing mouse models.

    • Weiqing Liu
    • Liyan Zhou
    • Quan Yuan
    ResearchOpen Access
    Nature Communications
    Volume: 7, P: 1-13
  • ARID1B, known for its critical role in neuronal development, also performs other functions yet to be fully explored. Here, authors uncover a pivotal function of ARID1B in regulating the quiescence of mesenchymal stem cells by activating non-canonical Activin signaling, providing insight into the link between chromatin remodeling and stem cell state.

    • Mingyi Zhang
    • Tingwei Guo
    • Yang Chai
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-17
  • Genome topology provides a structural basis for epigenome-mediated transcriptional regulation in eukaryotes. Here the authors characterized the 3D genome of stratified squamous epithelia. They generated a Hi-C map of human limbal stem/progenitor cells (LSCs) and integrated these data with epigenomics, transcription factor binding maps, and transcriptome data.

    • Mingsen Li
    • Huaxing Huang
    • Hong Ouyang
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-16
  • 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
  • Understanding intracellular phase separation is essential for transcriptional control, cell fate, and disease. Here the authors report PSPHunter which accurately predicts key residues, aiding in disease-associated protein identification and mechanistic insights.

    • Jun Sun
    • Jiale Qu
    • Junjun Ding
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-18