iScience (Jul 2021)

Microscopic image-based covariation network analysis for actin scaffold-modified insulin signaling

  • Yoshiyuki Noguchi,
  • Fumi Kano,
  • Nobuhiko Maiya,
  • Chisako Iwamoto,
  • Shoko Yamasaki,
  • Yosuke Otsubo,
  • Daiki Nakatsu,
  • Rina Kunishige,
  • Masayuki Murata

Journal volume & issue
Vol. 24, no. 7
p. 102724

Abstract

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Summary: To 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.

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