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Showing 1–50 of 79 results
Advanced filters: Author: Jason S. Weinstein Clear advanced filters
  • How white matter develops along the length of major tracts in humans remains unknown. Here, the authors identify fundamental patterns of human white matter development along distinct axes that reflect brain organization.

    • Audrey C. Luo
    • Steven L. Meisler
    • Theodore D. Satterthwaite
    ResearchOpen Access
    Nature Communications
    P: 1-19
  • Here the authors combine a deep generative model with structure-based drug design and prospectively validate functionally active, nanomolar, A2A adenosine receptor ligands and solve their crystal structures to close the Artificial Intelligence Structure-Based Drug Design loop.

    • Morgan Thomas
    • Pierre G. Matricon
    • Chris de Graaf
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-14
  • This study explores apelin receptor’s role in cardiovascular function, identifying residues critical for binding through genetic variants, AlphaFold2 modelling and base editing in cardiomyocytes. Co-crystallization with biased agonist CMF-019 shows a unique binding mode versus endogenous peptides.

    • Thomas L. Williams
    • Grégory Verdon
    • Anthony P. Davenport
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-19
  • This paper reports integrative molecular analyses of urothelial bladder carcinoma at the DNA, RNA, and protein levels performed as part of The Cancer Genome Atlas project; recurrent mutations were found in 32 genes, including those involved in cell-cycle regulation, chromatin regulation and kinase signalling pathways; chromatin regulatory genes were more frequently mutated in urothelial carcinoma than in any other common cancer studied so far.

    • John N. Weinstein
    • Rehan Akbani
    • Greg Eley
    ResearchOpen Access
    Nature
    Volume: 507, P: 315-322
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Cancer cells can be dependent on mitochondrial respiration to survive. Here, in pancreatic cancer cells, the authors show that monounsaturated fatty acids-linked ether lipids maintain mitochondrial redox homeostasis and modulate sensitivity to inhibition to electron transport chain complex I.

    • Ziheng Chen
    • I-Lin Ho
    • Haoqiang Ying
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-15
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • VVD-133214, a clinical-stage, covalent allosteric inhibitor of the helicase WRN, was well tolerated in mice and led to robust tumour regression in multiple microsatellite-instability-high colorectal cancer cell lines and patient-derived xenograft models.

    • Kristen A. Baltgalvis
    • Kelsey N. Lamb
    • Todd M. Kinsella
    Research
    Nature
    Volume: 629, P: 435-442
  • 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
  • Genome wide association studies have identified multiple loci associated with risk of developing prostate cancer but the functional significance of many of these are unknown. Here, after generating models to predict methylation, the authors identify CpG methylation sites associated with prostate cancer.

    • Lang Wu
    • Yaohua Yang
    • Stella Koutros
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-11
  • Analysis of mitochondrial genomes (mtDNA) by using whole-genome sequencing data from 2,658 cancer samples across 38 cancer types identifies hypermutated mtDNA cases, frequent somatic nuclear transfer of mtDNA and high variability of mtDNA copy number in many cancers.

    • Yuan Yuan
    • Young Seok Ju
    • Christian von Mering
    ResearchOpen Access
    Nature Genetics
    Volume: 52, P: 342-352
  • MKL1 is a key transcriptional co-activator of actin cytoskeleton genes. Here the authors show that MKL1 activation in somatic cells reduces chromatin accessibility and hinders full reprogramming to pluripotency. Reduction of MKL1, disruption of actin cytoskeleton and its links to the nucleus relieve this repression.

    • Xiao Hu
    • Zongzhi Z. Liu
    • Shangqin Guo
    ResearchOpen Access
    Nature Communications
    Volume: 10, P: 1-13
  • Meta-analysis of genome-wide association studies on Alzheimer’s disease and related dementias identifies new loci and enables generation of a new genetic risk score associated with the risk of future Alzheimer’s disease and dementia.

    • Céline Bellenguez
    • Fahri Küçükali
    • Jean-Charles Lambert
    ResearchOpen Access
    Nature Genetics
    Volume: 54, P: 412-436
  • Basolateral recycling and transcytotic pathways in epithelial cells are defined by specific markers, however the apical recycling pathway is poorly understood. Perez Bay et al. show that Megalin is a marker for this pathway, which intersects with the other routes in shared perinuclear recycling endosomes.

    • Andres E. Perez Bay
    • Ryan Schreiner
    • Enrique J. Rodriguez-Boulan
    ResearchOpen Access
    Nature Communications
    Volume: 7, P: 1-15
  • During chronic infection CD4+ T cells can progressively acquire IL-10 producing functionality. Here the authors use single cell RNA sequencing to interrogate the IL10 CD4+ T cell compartment in a murine model of chronic infection and identify Il10-producing Tfh involved in promotion of the antiviral humoral immune response.

    • Gang Xin
    • Ryan Zander
    • Weiguo Cui
    ResearchOpen Access
    Nature Communications
    Volume: 9, P: 1-14
  • B cells contribute to rheumatoid arthritis pathogenesis and bone erosion, but the underlying mechanisms are still unclear. Here the authors show, using mouse models and patient tissues, that B cells directly inhibit osteoblast differentiation by producing CCL3 and TNF, thereby providing a potentially new direction for arthritis therapy.

    • Wen Sun
    • Nida Meednu
    • Lianping Xing
    ResearchOpen Access
    Nature Communications
    Volume: 9, P: 1-14
  • Analysis of whole-genome sequencing data across 2,658 tumors spanning 38 cancer types shows that chromothripsis is pervasive, with a frequency of more than 50% in several cancer types, contributing to oncogene amplification, gene inactivation and cancer genome evolution.

    • Isidro Cortés-Ciriano
    • Jake June-Koo Lee
    • Christian von Mering
    ResearchOpen Access
    Nature Genetics
    Volume: 52, P: 331-341
  • The Cancer Genome Atlas consortium reports on their genome-wide characterization of somatic alterations in colorectal cancer; in addition to revealing a remarkably consistent pattern of genomic alteration, with 24 genes being significantly mutated, the study identifies new targets for therapeutic intervention and suggests an important role for MYC-directed transcriptional activation and repression.

    • Donna M. Muzny
    • Matthew N. Bainbridge
    • Elizabeth Thomson.
    ResearchOpen Access
    Nature
    Volume: 487, P: 330-337