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Showing 1–50 of 207 results
Advanced filters: Author: I. D. DESAI Clear advanced filters
  • Identifying jets originating from heavy quarks plays a fundamental role in hadronic collider experiments. In this work, the ATLAS Collaboration describes and tests a transformer-based neural network architecture for jet flavour tagging based on low-level input and physics-inspired constraints.

    • G. Aad
    • E. Aakvaag
    • L. Zwalinski
    ResearchOpen Access
    Nature Communications
    Volume: 17, P: 1-22
  • The variability in clinical outcomes of SARS-CoV-2 infection is partly due to deficiencies in production or response to type I interferons (IFN). Here, the authors describe a FIP200-dependent lysosomal degradation pathway, independent of canonical autophagy and type I IFN, that restricts SARS-CoV-2 replication, offering insights into critical COVID-19 pneumonia mechanisms.

    • Lili Hu
    • Renee M. van der Sluis
    • Trine H. Mogensen
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-23
  • 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
  • Biosynthesis of all androgens from cholesterol first requires cytochrome P450 (CYP) 11A1 for generation of pregnanes and then CYP17A1 for biosynthesis of androgens, but CYP17A1 inhibition cannot completely inhibit androgen biosynthesis in prostate cancer. Here, the authors identify a role for CYP51A1 in the biosynthesis of androgens that completely bypasses the requirement for CYP17A1 and demonstrate that CYP51A1 is essential for the biosynthesis of 13C-testosterone from 13C-cholesterol in prostate cancer cells.

    • Ziqi Zhu
    • Yoon-Mi Chung
    • Nima Sharifi
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-13
  • Here the authors show in male mice that acute and chronic complex simulated galactic cosmic radiation exposure differentially reorganized prefrontal cortex neurotransmitter networks in vivo, which was associated with cognitive deficits.

    • Rajeev I. Desai
    • Brian D. Kangas
    • Charles L. Limoli
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-18
  • Using data from a single time point, passenger-approximated clonal expansion rate (PACER) estimates the fitness of common driver mutations that lead to clonal haematopoiesis and identifies TCL1A activation as a mediator of clonal expansion.

    • Joshua S. Weinstock
    • Jayakrishnan Gopakumar
    • Siddhartha Jaiswal
    Research
    Nature
    Volume: 616, P: 755-763
  • 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 authors timestamp the development of amyloid plaques in a mouse model of Alzheimer’s disease in order to examine how plaque age affects the surrounding brain tissue. This includes a growing loss of nearby synapses, an increase in toxicity, and an increase in structural aggregation.

    • Jack I. Wood
    • Maciej Dulewicz
    • Jörg Hanrieder
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-17
  • The Parker Solar Probe mission has reached the inner heliosphere of the Sun and made measurements of energetic particle events in the near-Sun radiation environment.

    • D. J. McComas
    • E. R. Christian
    • A. P. Rouillard
    Research
    Nature
    Volume: 576, P: 223-227
  • A phase I clinical trial of an adjuvant personalized mRNA neoantigen vaccine, autogene cevumeran, in patients with pancreatic ductal carcinoma demonstrates that the vaccine can induce T cell activity that may correlate with delayed recurrence of disease.

    • Luis A. Rojas
    • Zachary Sethna
    • Vinod P. Balachandran
    ResearchOpen Access
    Nature
    Volume: 618, P: 144-150
  • In a phase 1 trial, patients with pancreatic ductal adenocarcinoma who were treated with surgery and bespoke neoantigen mRNA vaccines combined with anti-PD-L1 and chemotherapy exhibited marked long-lived persistence of neoantigen-specific CD8+ T cell clones, which correlated with prolonged recurrence-free survival at a 3.2-year follow-up.

    • Zachary Sethna
    • Pablo Guasp
    • Vinod P. Balachandran
    ResearchOpen Access
    Nature
    Volume: 639, P: 1042-1051
  • Owens et al. reported PFI-7, a selective and potent antagonist of GID4 of the CTLH E3 ligase complex, which enables identification of human GID4 targets. This study provides valuable insights into GID4 functions and a powerful tool for advancing new targeted protein degradation strategies.

    • Dominic D. G. Owens
    • Matthew E. R. Maitland
    • Cheryl H. Arrowsmith
    Research
    Nature Chemical Biology
    Volume: 20, P: 1164-1175
  • 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
  • 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
  • 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
  • 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 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
  • Fine-scale geospatial mapping of overweight and wasting (two components of the double burden of malnutrition) in 105 LMICs shows that overweight has increased from 5.2% in 2000 to 6.0% in children under 5 in 2017. Although overall wasting decreased over the same period, most countries are not on track to meet the World Health Organization’s Global Nutrition Target of <5% in over half of LMICs by 2025.

    • Damaris K. Kinyoki
    • Jennifer M. Ross
    • Simon I. Hay
    ResearchOpen Access
    Nature Medicine
    Volume: 26, P: 750-759
  • 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
  • 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
  • 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
  • Cancer genomes are rife with genetic variants, and one key outcome of this variation is widespread gain-of-cysteine mutations. Here, the authors pair cysteine chemoproteomics with genomics to investigate the landscape of cysteine genetic variation.

    • Heta Desai
    • Katrina H. Andrews
    • Keriann M. Backus
    ResearchOpen Access
    Nature Communications
    Volume: 15, 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
  • 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
  • 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
  • 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
  • A high-resolution, global atlas of mortality of children under five years of age between 2000 and 2017 highlights subnational geographical inequalities in the distribution, rates and absolute counts of child deaths by age.

    • Roy Burstein
    • Nathaniel J. Henry
    • Simon I. Hay
    ResearchOpen Access
    Nature
    Volume: 574, P: 353-358
  • 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 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 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
  • Analysis of 97,691 high-coverage human blood DNA-derived whole-genome sequences enabled simultaneous identification of germline and somatic mutations that predispose individuals to clonal expansion of haematopoietic stem cells, indicating that both inherited and acquired mutations are linked to age-related cancers and coronary heart disease.

    • Alexander G. Bick
    • Joshua S. Weinstock
    • Pradeep Natarajan
    Research
    Nature
    Volume: 586, P: 763-768