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Showing 1–50 of 175 results
Advanced filters: Author: Johan Chang Clear advanced filters
  • An outstanding question regarding cuprate superconductors is how the Fermi liquid behaviour of their normal state breaks down. Chang et al. conduct a systematic ARPES study of how the Fermi liquid quasiparticle excitations break down in momentum space, and find it to be highly anisotropic in La2−xSrxCuO4.

    • J. Chang
    • M. Månsson
    • J. Mesot
    Research
    Nature Communications
    Volume: 4, P: 1-5
  • The authors highlight inconsistencies and divergencies in the literature reporting data on indirect calorimetry for studies on whole-body energy homeostasis, and propose harmonization of standards to facilitate data comparison and interpretation across different datasets.

    • Alexander S. Banks
    • David B. Allison
    • Juleen R. Zierath
    Reviews
    Nature Metabolism
    Volume: 7, P: 1765-1780
  • The interplay between competing orders in high-temperature superconductors can be tuned by the application of magnetic fields. Here, Chang et al. report high field induced three-dimensional charge density wave in underdoped YBa2Cu3O6.67, which suggests Fermi surface reconstruction due to competing orders.

    • J. Chang
    • E. Blackburn
    • S M Hayden
    ResearchOpen Access
    Nature Communications
    Volume: 7, P: 1-7
  • In a large multinational cohort study, maternal, gestational or pregestational diabetes was associated with only a small-to-moderate risk of ADHD in offspring, contrary to previous estimates that showed stronger effect sizes, attributing the differences in findings to confounding by shared genetic and familial factors.

    • Adrienne Y. L. Chan
    • Le Gao
    • Ian C. K. Wong
    ResearchOpen Access
    Nature Medicine
    Volume: 30, P: 1416-1423
  • Detailed knowledge of the low-energy electronic structure is required to understand the Mott insulating phase of Ca2RuO4. Here, Sutter et al. provide directly the experimental band structure of the paramagnetic insulating phase of Ca2RuO4and unveil the electronic origin of its Mott phase.

    • D. Sutter
    • C. G. Fatuzzo
    • J. Chang
    ResearchOpen Access
    Nature Communications
    Volume: 8, P: 1-7
  • Literature produced inconsistent findings regarding the links between extreme weather events and climate policy support across regions, populations and events. This global study offers a holistic assessment of these relationships and highlights the role of subjective attribution.

    • Viktoria Cologna
    • Simona Meiler
    • Amber Zenklusen
    ResearchOpen Access
    Nature Climate Change
    Volume: 15, P: 725-735
  • Here, the authors perform large trans-ancestry fine-mapping analyses identifying large numbers of association signals and putative target genes for colorectal cancer risk, advancing our understanding of the genetic and biological basis of this cancer.

    • Zhishan Chen
    • Xingyi Guo
    • Wei Zheng
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-17
  • Denoising low-counting statistics data in the presence of multiple, unknown noise profiles is a challenging task in scientific applications where high accuracy is required. Oppliger and colleagues train a deep convolutional neural network on pairs of experimental low- and high-noise X-ray diffraction data and demonstrate better performance on experimental noise filtering compared with the case of training on artificial data pairs.

    • Jens Oppliger
    • M. Michael Denner
    • Johan Chang
    ResearchOpen Access
    Nature Machine Intelligence
    Volume: 6, P: 180-186
  • Using deep sequencing of human carotid plaque cells from male and female patients with carotid stenosis, Sukhavasi et al. identify sex-biased cell-type-specific gene-regulatory networks and different phenotypes in smooth muscle cells, including an osteogenic phenotype in females and a chondrocytic phenotype in males.

    • Katyayani Sukhavasi
    • Giuseppe Mocci
    • Johan L. M. Björkegren
    ResearchOpen Access
    Nature Cardiovascular Research
    Volume: 4, P: 412-432
  • Analysis of HbA1c and FPG levels across 117 population-based studies demonstrates regional variation in prevalence of previously undiagnosed screen-detected diabetes using one or both measures and suggests that use of elevated FPG alone could underestimate diabetes prevalence in low- and middle-income countries.

    • Bin Zhou
    • Kate E. Sheffer
    • Majid Ezzati
    ResearchOpen Access
    Nature Medicine
    Volume: 29, P: 2885-2901
  • Analysis of medulloblastomas in humans and mice shows that the functional consequences of ZIC1 mutations are exquisitely dependent on the cells of origin that give rise to different subgroups of medulloblastoma.

    • John J. Y. Lee
    • Ran Tao
    • Michael D. Taylor
    ResearchOpen Access
    Nature Genetics
    Volume: 57, P: 88-102
  • 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
  • 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
  • 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
  • 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
  • A study combining spectroscopy and mathematical topology  reports the observation of linked node loops in a quantum magnet, with properties suggesting a Seifert bulk–boundary correspondence.

    • Ilya Belopolski
    • Guoqing Chang
    • M. Zahid Hasan
    Research
    Nature
    Volume: 604, P: 647-652
  • A multi-ancestry genome-wide association study for age at menarche followed by fine mapping and downstream analysis implicates 665 pubertal timing genes, such as the G-protein-coupled receptor 83 (GPR83) and other genes expressed in the ovaries involved in the DNA damage response.

    • Katherine A. Kentistou
    • Lena R. Kaisinger
    • Ken K. Ong
    ResearchOpen Access
    Nature Genetics
    Volume: 56, P: 1397-1411
  • Mokry et al. performed bulk RNA sequencing of 654 advanced human carotid plaques from the Athero-Express biobank and 162 coronary samples, and they show that unsupervised clustering defines plaque types corresponding to different cell compositions and clinical presentations. Circulating biomarkers can be potentially used to mark the different transcriptomic-defined plaque phenotypes.

    • Michal Mokry
    • Arjan Boltjes
    • Gerard Pasterkamp
    Research
    Nature Cardiovascular Research
    Volume: 1, P: 1140-1155
  • 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
  • Circuit and cell type prioritization for complex disorders is crucial to direct future efforts. Here the authors integrate GWAS, human single-cell RNA-seq and fMRI analysis suggesting multi-modality convergence on amygdalar and hippocampal circuits.

    • Shuyang Yao
    • Arvid Harder
    • Jens Hjerling-Leffler
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-18
  • Andrew Morris, Mark McCarthy, Michael Boehnke and colleagues report a meta-analysis of genome-wide association studies for type 2 diabetes, including 26,488 cases and 83,964 controls from populations of European, east Asian, south Asian and Mexican and Mexican American ancestry. They identify seven loci newly associated with type 2 diabetes and examine the genetic architecture of disease across populations.

    • Anubha Mahajan
    • Min Jin Go
    • Andrew P Morris
    Research
    Nature Genetics
    Volume: 46, P: 234-244
  • 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
  • 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
  • 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
  • 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
  • Nickelates have been shown to host unconventional superconductivity, and recently it has been found that the choice of substrate can significantly change the superconducting critical temperature. This suggests, that like some Cuprates, strain could be important. Here Gao, Fan, Wang, and coauthors find that magnetic excitations in a parent Nickelate are insensitive to substrate choice, and therefore strain, which differs markedly from the case of Cuprates.

    • Qiang Gao
    • Shiyu Fan
    • Zhihai Zhu
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-7
  • The authors report that tensile strain applied to CsV3Sb5 strongly suppresses the charge-density-wave (CDW) gap, increases the mass of the fermions at the higher-order van Hove singularity (HO-VHS) and drives the energy of the HO-VHS towards the Fermi energy. Further, they suggest an important role of the HO-VHS in superconducting pairing.

    • Chun Lin
    • Armando Consiglio
    • Johan Chang
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-9
  • From 1980 to 2018, the levels of total and non-high-density lipoprotein cholesterol increased in low- and middle-income countries, especially in east and southeast Asia, and decreased in high-income western countries, especially those in northwestern Europe, and in central and eastern Europe.

    • Cristina Taddei
    • Bin Zhou
    • Majid Ezzati
    ResearchOpen Access
    Nature
    Volume: 582, P: 73-77