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Showing 1–50 of 964 results
Advanced filters: Author: Daniel S Schmidt Clear advanced filters
  • A low-cost robotic platform using mainly optical detection to quantify yields of products and by-products allows the analysis of multidimensional chemical reaction hyperspaces and networks much faster than is possible by human chemists.

    • Yankai Jia
    • Rafał Frydrych
    • Bartosz A. Grzybowski
    ResearchOpen Access
    Nature
    Volume: 645, P: 922-931
  • Four cosmologists discuss the prospects for the concordance cosmological model — made up of 70% dark energy in the form of a cosmological constant Λ, 25% cold dark matter and 5% baryonic matter in the present day — in the light of multiple tensions between existing datasets.

    • Daniel Eisenstein
    • Colin Hill
    • Lindsay Oldham
    Comments & Opinion
    Nature Astronomy
    P: 1-5
  • In this Stage 2 Registered Report, Buchanan et al. show evidence confirming the phenomenon of semantic priming across speakers of 19 diverse languages.

    • Erin M. Buchanan
    • Kelly Cuccolo
    • Savannah C. Lewis
    Research
    Nature Human Behaviour
    P: 1-20
  • Non-steroidal anti-inflammatory drugs (NSAIDs) are known to alleviate pain by reducing inflammation. To the contrary, here, the authors show that selective inhibition of the prostaglandin E2 receptor (EP2) in Schwann cells eliminates pain without disrupting the protective and healing functions of inflammation.

    • Romina Nassini
    • Lorenzo Landini
    • Pierangelo Geppetti
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-19
  • Squeezed light field microscopy (SLIM) combines ideas from tomography and compressed sensing with light field microscopy to enable volumetric imaging at kilohertz rates, as demonstrated in blood flow imaging in zebrafish and voltage imaging in leeches and mice.

    • Zhaoqiang Wang
    • Ruixuan Zhao
    • Liang Gao
    Research
    Nature Methods
    Volume: 22, P: 2194-2204
  • 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
  • The ocean carbon sink strengthened in previous warm El Niño years due to reduced CO2 outgassing in the tropics. Here the authors show that the ocean carbon sink declined in 2023 despite record-high sea surface temperatures (SSTs), primarily due to SST-driven outgassing of CO2 in the subtropics.

    • Jens Daniel Müller
    • Nicolas Gruber
    • Galen A. McKinley
    ResearchOpen Access
    Nature Climate Change
    Volume: 15, P: 978-985
  • A cross-ancestry meta-analysis of genome-wide association studies identifies association signals for stroke and its subtypes at 89 (61 new) independent loci, reveals putative causal genes, highlighting F11, KLKB1, PROC, GP1BA, LAMC2 and VCAM1 as potential drug targets, and provides cross-ancestry integrative risk prediction.

    • Aniket Mishra
    • Rainer Malik
    • Stephanie Debette
    ResearchOpen Access
    Nature
    Volume: 611, P: 115-123
  • Riverine systems help transfer mismanaged waste into the ocean, but riverine litter data are scarce. Using a database of riverine floating macrolitter across Europe, this study estimates that 307–925 million litter items—82% of which is plastic—are transferred annually from Europe into the ocean.

    • Daniel González-Fernández
    • Andrés Cózar
    • Myrto Tourgeli
    Research
    Nature Sustainability
    Volume: 4, P: 474-483
  • Reduced glomerular filtration rate (eGFR) is a hallmark of chronic kidney disease. Here, Pattaro et al. conduct a meta-analysis to discover several new loci associated with variation in eGFR and find that genes associated with eGFR loci often encode proteins potentially related to kidney development.

    • Cristian Pattaro
    • Alexander Teumer
    • Caroline S. Fox
    ResearchOpen Access
    Nature Communications
    Volume: 7, P: 1-19
  • A genome-wide study by the Long COVID Host Genetics Initiative identifies an association between the FOXP4 locus and long COVID, implicating altered lung function in its pathophysiology.

    • Vilma Lammi
    • Tomoko Nakanishi
    • Hanna M. Ollila
    ResearchOpen Access
    Nature Genetics
    Volume: 57, P: 1402-1417
  • Federated learning (FL) algorithms have emerged as a promising solution to train models for healthcare imaging across institutions while preserving privacy. Here, the authors describe the Federated Tumor Segmentation (FeTS) challenge for the decentralised benchmarking of FL algorithms and evaluation of Healthcare AI algorithm generalizability in real-world cancer imaging datasets.

    • Maximilian Zenk
    • Ujjwal Baid
    • Spyridon Bakas
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-20
  • A large genome-wide association study of more than 5 million individuals reveals that 12,111 single-nucleotide polymorphisms account for nearly all the heritability of height attributable to common genetic variants.

    • Loïc Yengo
    • Sailaja Vedantam
    • Joel N. Hirschhorn
    ResearchOpen Access
    Nature
    Volume: 610, P: 704-712
  • While BH3-mimetics can be effective for treatment of haematological malignancies, their efficacy in solid tumours is limited. Here, using a range of patient-derived prostate cancer models, the authors demonstrate that increased replication stress induced by RB1 loss confers sensitivity to BH3 mimetics targeting BCL-XL.

    • Andreas Varkaris
    • Keshan Wang
    • Steven P. Balk
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-17
  • 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
  • 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 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
  • A variational autoencoder is trained on a dataset of quantum optics experiment configurations and learns an interpretable representation of the relationship between experiment setup and quantum entanglement. The approach can be used to explore new experiment designs with specific, highly entangled states.

    • Daniel Flam-Shepherd
    • Tony C. Wu
    • Alán Aspuru-Guzik
    Research
    Nature Machine Intelligence
    Volume: 4, P: 544-554
  • Here the authors apply machine learning approaches to Alzheimer’s genetics, confirm known associations and suggest novel risk loci. These methods demonstrate predictive power comparable to traditional approaches, while also offering potential new insights beyond standard genetic analyses.

    • Matthew Bracher-Smith
    • Federico Melograna
    • Valentina Escott-Price
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-16
  • 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
  • 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
  • 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
  • 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
  • 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
  • Inbreeding depression has been observed in many different species, but in humans a systematic analysis has been difficult so far. Here, analysing more than 1.3 million individuals, the authors show that a genomic inbreeding coefficient (FROH) is associated with disadvantageous outcomes in 32 out of 100 traits tested.

    • David W Clark
    • Yukinori Okada
    • James F Wilson
    ResearchOpen Access
    Nature Communications
    Volume: 10, P: 1-17
  • A genome-wide association study meta-analysis combined with multiomics data of osteoarthritis identifies 700 effector genes as well as biological processes with a convergent involvement of multiple effector genes; 10% of these genes express the target of approved drugs.

    • Konstantinos Hatzikotoulas
    • Lorraine Southam
    • Eleftheria Zeggini
    ResearchOpen Access
    Nature
    Volume: 641, P: 1217-1224