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Showing 1–50 of 1339 results
Advanced filters: Author: Nicholas Zhang Clear advanced filters
  • A large-scale study on the replicability of claims from social and behavioural science journals reports that about half of the results replicate in the same patterns as the original study.

    • Andrew H. Tyner
    • Anna Lou Abatayo
    • Timothy M. Errington
    Research
    Nature
    Volume: 652, P: 143-150
  • The transcriptome and proteome provide complementary information about the cellular phenotype, state and function. Here, the authors introduce SPARO, a method that enables simultaneous profiling of cell type-specific transcriptomes and proteomes in vitro and in vivo by leveraging TurboID-based biotinylation of RNA-interacting cytosolic proteins to enrich both proteins and associated RNAs.

    • Christina C. Ramelow
    • Eric B. Dammer
    • Srikant Rangaraju
    ResearchOpen Access
    Nature Communications
    P: 1-22
  • Biallelic inactivation of the VHL tumour suppressor gene is a hallmark of Clear cell renal cell carcinoma (ccRCC). Here the authors perform genome-wide CRISPR/Cas9 screening to identify that loss of Core Binding Factor β (CBF-β), a component of RUNX transcription factor complexes, is synthetically lethal in VHL-deficient ccRCC tumour models.

    • James A. C. Bertlin
    • Tekle Pauzaite
    • James A. Nathan
    ResearchOpen Access
    Nature Communications
    P: 1-20
  • A study of reproducibility in a stratified random sample of 600 papers published from 2009 to 2018 in 62 journals spanning the social and behavioural sciences finds higher reproducibility among more recent papers and papers from journals that require data sharing.

    • Olivia Miske
    • Anna Lou Abatayo
    • Timothy M. Errington
    Research
    Nature
    Volume: 652, P: 126-134
  • Robustness checks and reproduction of analyses with existing and updated data based on 110 articles in economics and political science journals with data and code-sharing requirements found high levels of robustness and reproducibility and determined that robustness was not dependent on author characteristics or data availability.

    • Abel Brodeur
    • Derek Mikola
    • Yaolang Zhong
    Research
    Nature
    Volume: 652, P: 151-156
  • Single-nucleus chromatin and RNA sequencing identifies epigenetic chromatin domains that confer vulnerability to paediatric brain tumours such as ependymomas, providing insight into the development of such tumours despite ‘quiet’ genomes.

    • Alisha S. Kardian
    • Hua Sun
    • Stephen C. Mack
    ResearchOpen Access
    Nature
    P: 1-11
  • Clostridium perfringens lacking perfringolysin O toxin isolated from preterm infants metabolizes human milk oligosaccharide disialyllacto-N-tetraose to produce metabolites that promote the growth of commensal bifidobacteria, inhibit pathogens and suppress inflammation in an organoid model.

    • Jonathan A. Chapman
    • Andrea C. Masi
    • Christopher J. Stewart
    ResearchOpen Access
    Nature Microbiology
    Volume: 11, P: 940-959
  • Analysis combining multiple global tree databases reveals that whether a location is invaded by non-native tree species depends on anthropogenic factors, but the severity of the invasion depends on the native species diversity.

    • Camille S. Delavaux
    • Thomas W. Crowther
    • Daniel S. Maynard
    ResearchOpen Access
    Nature
    Volume: 621, P: 773-781
  • 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
  • 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
  • Thermogenetics enables spatiotemporal control of protein activity using temperature. Now, engineering of a compact, insertable thermoresponsive protein module diversifies the classes of proteins amenable to allosteric thermoregulation.

    • Ann-Sophie Kroell
    • Kira H. Hoffmann
    • Jan Mathony
    ResearchOpen Access
    Nature Chemical Biology
    P: 1-8
  • 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
  • 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
  • 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
  • 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
  • Evo 2 is an artificial intelligence-based biological foundation model trained on 9 trillion DNA base pairs spanning all domains of life that predicts functional properties from genomic sequences and provides a rich generative model for researchers in biology.

    • Garyk Brixi
    • Matthew G. Durrant
    • Brian L. Hie
    ResearchOpen Access
    Nature
    P: 1-13
  • The APOE-ε4 allele is the strongest genetic risk factor for late-onset Alzheimer’s disease, but it is not deterministic. Here, the authors show that common genetic variation changes how APOE-ε4 influences cognition.

    • Alex G. Contreras
    • Skylar Walters
    • Timothy J. Hohman
    ResearchOpen Access
    Nature Communications
    Volume: 17, 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
  • 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
  • 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
  • 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
  • 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
  • Defining the spatial organization of tissues and organs like the brain from large datasets is a major challenge. Here, authors introduce CellTransformer, an AI tool that defines spatial domains in the mouse brain based on spatial transcriptomics, a technology that measures which genes are active in different parts of tissue.

    • Alex J. Lee
    • Alma Dubuc
    • Reza Abbasi-Asl
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-16
  • Negative refraction—light bending opposite to conventional refraction—and a hyperlens effect is observed in an excitonic system in the two-dimensional magnet CrSBr. The effect is mediated by the magnetic order of the material.

    • Jingwen Ma
    • Xiong Wang
    • Xiang Zhang
    Research
    Nature Nanotechnology
    Volume: 21, P: 374-379
  • A genome-wide association meta-analysis study of blood lipid levels in roughly 1.6 million individuals demonstrates the gain of power attained when diverse ancestries are included to improve fine-mapping and polygenic score generation, with gains in locus discovery related to sample size.

    • Sarah E. Graham
    • Shoa L. Clarke
    • Cristen J. Willer
    Research
    Nature
    Volume: 600, P: 675-679
  • It remains unknown why only some sickle cell disease (SCD) patients develop lung thrombosis. Here, the authors show that an extracellular vesicle-dependent mechanism prevents lung thrombosis in SCD and how a CD39 polymorphism impairs this protection to promote lung thrombosis in subset of patients.

    • Tomasz Brzoska
    • Tomasz W. Kaminski
    • Prithu Sundd
    ResearchOpen Access
    Nature Communications
    Volume: 17, P: 1-16