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Showing 1–50 of 655 results
Advanced filters: Author: Alice Li Clear advanced filters
  • The abundant production of (anti-)nuclei in relativistic heavy-ion collisions provides a platform to test the CPT invariance of nucleon–nucleon interactions—offering the highest precision measurement to date in the light-nuclei sector.

    • J. Adam
    • D. Adamová
    • M. Zyzak
    ResearchOpen Access
    Nature Physics
    Volume: 11, P: 811-814
  • This study uses brain recordings, self-reports, and facial analysis to decode acute pain in epilepsy patients. Machine learning reveals stable neural markers in mesolimbic, striatal, and cortical regions, plus facial cues, enabling reliable pain detection in naturalistic settings.

    • Yuhao Huang
    • Jay Gopal
    • Corey J. Keller
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-13
  • ADPKD is a genetic kidney disease caused by mutations in PKD1. Here, the authors develop broadly expressed and kidney specific promoter mediated adenine base editors to correct point mutation of Pkd1 gene, rescuing pathology in a humanized mouse model.

    • Alice Shasha Cheng
    • Linda Xiaoyan Li
    • Xiaogang Li
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-15
  • Semaglutide, a GLP-1 receptor agonist, may offer neuroprotective benefits after stroke, but its effects in large vessel occlusion (LVO) are unknown. Here the authors show, in a phase 2 randomized trial, that semaglutide is safe after endovascular therapy and may improve recovery in patients not receiving intravenous thrombolysis.

    • Hao Wang
    • Ho Ko
    • Bonaventure Y. Ip
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-10
  • The authors combine light intensity data with eddy covariance observations from 86 sites to show that artificial light at night increases ecosystem respiration and alters carbon exchange, with impacts shaped by diel cycles and seasonal dynamics.

    • Alice S. A. Johnston
    • Jiyoung Kim
    • Jim A. Harris
    ResearchOpen Access
    Nature Climate Change
    Volume: 15, P: 1371-1377
  • Correlations in momentum space between hadrons created by ultrarelativistic proton–proton collisions at the CERN Large Hadron Collider provide insights into the strong interaction, particularly the short-range dynamics of hyperons—baryons that contain strange quarks.

    • S. Acharya
    • D. Adamová
    • N. Zurlo
    ResearchOpen Access
    Nature
    Volume: 588, P: 232-238
  • Understanding the ion intercalation and degradation mechanisms occurring during realistic battery operation is crucial to developing high-rate battery electrodes. Operando optical scattering microscopy is now used to study single-particle kinetic state-of-charge heterogeneities and cracking in high-rate Li-ion anode materials.

    • Alice J. Merryweather
    • Quentin Jacquet
    • Clare P. Grey
    Research
    Nature Materials
    Volume: 21, P: 1306-1313
  • Exai-1, a cell-free RNA foundation model that integrates sequence, structure and expression features, advances liquid biopsy diagnostics by denoising noisy data, augmenting limited datasets and improving the generalizability of cancer detection models.

    • Mehran Karimzadeh
    • Aiden M. Sababi
    • Hani Goodarzi
    ResearchOpen Access
    Nature Machine Intelligence
    Volume: 7, P: 1927-1938
  • Here, the authors reveal how twisting MoSe2/WS2 layers controls exciton behaviour. Combining theory and ultrafast spectroscopy, they show that lattice reconstruction creates distinct bright and long-lived excitons without hybridization effects.

    • Jiaxuan Guo
    • Zachary H. Withers
    • Diana Y. Qiu
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-11
  • 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
  • Here authors identify GluN2D-containing NMDA receptors on interneurons as a specific target for rapid antidepressant action. Blocking GluN2D restores stress-impaired plasticity and mimics the effects of ketamine with fewer side effects.

    • Stefan Vestring
    • Maxime Veleanu
    • Claus Normann
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-26
  • 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 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
  • 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
  • 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
  • Lithium dendrite growth in solid-state electrolytes is a significant challenge for next-generation battery development. Here, authors used dark-field X-ray microscopy to investigate dislocations near dendrite tips, suggesting that stress-induced dislocation may influence dendrite branching and material fracture.

    • Can Yildirim
    • Florian Flatscher
    • Daniel Rettenwander
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-8
  • Four receptor-like cytoplasmic kinases (RLCKs) phosphorylate guanine nucleotide exchange factors (RopGEFs), filling a critical gap in the signalling pathway connecting cell surface auxin and RHO GTPases (ROPs) in Arabidopsis.

    • Xiaojing Zhang
    • Hao Jiang
    • Li-Zhen Tao
    Research
    Nature Plants
    Volume: 11, P: 2130-2144
  • 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
  • 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
  • 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
  • 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
  • Analysis of soundscape data from 139 globally distributed sites reveals that sounds of biological origin exhibit predictable rhythms depending on location and season, whereas sounds of anthropogenic origin are less predictable. Comparisons between paired urban–rural sites show that urban green spaces are noisier and dominated by sounds of technological origin.

    • Panu Somervuo
    • Tomas Roslin
    • Otso Ovaskainen
    ResearchOpen Access
    Nature Ecology & Evolution
    Volume: 9, P: 1585-1598
  • The dynamics of ions within a working lithium-ion battery are examined using optical interferometric scattering microscopy, which allows ion transport to be related to phase transitions and microstructural features.

    • Alice J. Merryweather
    • Christoph Schnedermann
    • Akshay Rao
    Research
    Nature
    Volume: 594, P: 522-528
  • 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
  • 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
  • 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
  • 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