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Showing 1–50 of 630 results
Advanced filters: Author: Jeffrey Xu Clear advanced filters
  • Here, the authors investigate gene dosage compensation in mouse pluripotent stem cells to better understand the process of X-chromosome upregulation. They report that mammalian cells can sense when segments of one of the two X chromosomes are genetically deleted in cis and compensate gene expression by upregulation in trans.

    • Ryan N. Allsop
    • Jeffrey Boeren
    • Vincent Pasque
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-17
  • Cortical networks switch from asynchronous firing to sudden synchronized population events. Here, the authors show that differential excitatory short-term synaptic plasticity onto either excitatory or inhibitory targets establishes and shapes the dynamics of these population events.

    • Jeffrey B. Dunworth
    • Yunlong Xu
    • Brent Doiron
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-20
  • A cooperative electrolytic strategy is designed, enabling dual C–H functionalization of deconstructed polyolefin oligomers, converting carbon fibre-reinforced polymer waste into adaptive materials. This approach forms covalently adaptable networks and establishes electrochemical backbone editing as a versatile platform for advanced polymer design and functionalization.

    • Yuting Zhou
    • Zhenchuang Xu
    • Jeffrey S. Moore
    Research
    Nature Synthesis
    P: 1-10
  • The full potential of tunable perovskite nanocrystals is limited by complex synthesis space. Here, authors developed a self-driving lab that autonomously discovers and produces optimal scalable nanocrystals for next-generation photonic technologies.

    • Jinge Xu
    • Christopher H. J. Moran
    • Milad Abolhasani
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-13
  • 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
  • Yuan et al. report a nearly vertical subthreshold swing field-effect transistor consists of a graphene/silicon heterojunction drain and a silicon channel. The device enables nearly hysteresis-free transistors with subthreshold swing of 16 µV dec−1, and a complementary logic inverter with gain of 311.

    • Baowei Yuan
    • Zhibo Chen
    • Ye Lu
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-8
  • This Review discusses multiomic approaches for the characterization and biological understanding of cellular senescence, including detailed case studies on skeletal muscle and adipose tissue that highlight current outstanding issues in the field.

    • Sheng Li
    • Paula A. Agudelo Garcia
    • Rong Fan
    Reviews
    Nature Genetics
    Volume: 57, P: 2381-2394
  • In this Review the authors explore the emerging role of HER2 in urothelial carcinoma, highlighting its biological and clinical significance, the challenges of using HER2 as a biomarker, and the variability and complexity of HER2 assessment. Evidence supporting HER2-targeted therapies and future directions for research and clinical applications are also discussed.

    • Daniele Raggi
    • Emanuele Crupi
    • Matthew D. Galsky
    Reviews
    Nature Reviews Urology
    P: 1-23
  • 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
  • The calorimetric determination of enthalpies of mixing in multi-component molten salt systems often relies on empirical models that lack physically interpretable parameters. Here, the authors use the molecular interaction volume model (MIVM) to integrate experimentally measured enthalpies and solvation structures from ab initio molecular dynamics simulations to extrapolate excess Gibbs energy and determine the compositional dependence of La3+ activity in the LaCl3-(LiCl-KCl) system.

    • Vitaliy G. Goncharov
    • William Smith
    • Xiaofeng Guo
    ResearchOpen Access
    Communications Chemistry
    Volume: 8, P: 1-11
  • 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
  • Transparent photodetectors based on graphene stacked vertically along the optical axis have shown promising potential for light field reconstruction. Here, the authors develop transparent photodetector arrays and implement a neural network for real-time 3D optical imaging and object tracking.

    • Dehui Zhang
    • Zhen Xu
    • Theodore B. Norris
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-7
  • 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
  • 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
  • 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
  • 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
  • Unlike that in plants, fungi, and marine animals, bacteria are vastly underrepresented in the production of terpenoids. Here, the authors report a systematic screening of terpene synthases from bacteria and identify three new skeletons that are not found in other organisms.

    • Xiuting Wei
    • Wenbo Ning
    • Jeffrey D. Rudolf
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-9
  • The Mass Spectrometry Query Language (MassQL) is an open-source language that enables instrument-independent searching across mass spectrometry data for complex patterns of interest via concise and expressive queries without the need for programming skills.

    • Tito Damiani
    • Alan K. Jarmusch
    • Mingxun Wang
    ResearchOpen Access
    Nature Methods
    Volume: 22, P: 1247-1254