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Showing 1–4 of 4 results
Advanced filters: Author: Shigeaki Umeda Clear advanced filters

  • This study uses single-cell DNA sequencing to analyze genomic evolution in pancreatic cancer using a cohort of multiregionally and longitudinally sampled patients’ tissues across various clinical contexts.

    • Haochen Zhang
    • Palash Sashittal
    • Christine A. Iacobuzio-Donahue
    ResearchOpen Access
    Nature Genetics
    P: 1-11

  • Implementing high-throughput single-cell DNA sequencing for the study of solid tumours has been challenging. Here, the authors present an optimised approach for snap-frozen tissue single nuclei extraction and DNA sequencing, which can be applied to study pancreatic ductal adenocarcinoma evolution and heterogeneity.

    • Haochen Zhang
    • Elias-Ramzey Karnoub
    • Christine A. Iacobuzio-Donahue
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-14

  • The imminent release of tissue atlases combining multichannel microscopy with single-cell sequencing and other omics data from normal and diseased specimens creates an urgent need for data and metadata standards to guide data deposition, curation and release. We describe a Minimum Information about Highly Multiplexed Tissue Imaging (MITI) standard that applies best practices developed for genomics and for other microscopy data to highly multiplexed tissue images and traditional histology.

    • Denis Schapiro
    • Clarence Yapp
    • Peter K. Sorger
    Comments & Opinion
    Nature Methods
    Volume: 19, P: 262-267