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  • 标题:Microscopic image-based covariation network analysis for actin scaffold-modified insulin signaling
  • 本地全文:下载
  • 作者:Yoshiyuki Noguchi ; Fumi Kano ; Nobuhiko Maiya
  • 期刊名称:iScience
  • 印刷版ISSN:2589-0042
  • 出版年度:2021
  • 卷号:24
  • 期号:7
  • 页码:1-28
  • DOI:10.1016/j.isci.2021.102724
  • 语种:English
  • 出版社:Elsevier
  • 摘要:SummaryTo infer a “live” protein network in single cells, we developed a novel Protein Localization and Modification-based Covariation Network (PLOM-CON) analysis method using a large set of quantitative data on the abundance (quantity), post-translational modification state (quality), and localization/morphological information of target proteins from microscope immunostained images. The generated network exhibited synchronized time-dependent behaviors of the target proteins to visualize how a live protein network develops or changes in cells under specific experimental conditions. As a proof of concept for PLOM-CON analysis, we applied this method to elucidate the role of actin scaffolds, in which actin fibers and signaling molecules accumulate and form membrane-associated protein condensates, in insulin signaling in rat hepatoma cells. We found that the actin scaffold in cells may function as a platform for glycogenesis and protein synthesis upon insulin stimulation.Graphical abstractDisplay OmittedHighlights•Network generated from immunostained images of insulin-stimulated rat hepatoma cells•Network exhibits synchronized time-dependent behaviors of target proteins in cells•Network includes information of post-translational modification and localization•Actin scaffold may function as a platform for glycogenesis and protein synthesisMolecular network; Bioinformatics; Systems biology
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