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
Affiliations
Yoshiyuki Noguchi
Department of Life Sciences, Graduate School of Arts and Sciences, The University of Tokyo, 3-8-1 Komaba, Meguro-ku, Tokyo 153-8902, Japan
Fumi Kano
Cell Biology Center, Institute of Innovative Research, Tokyo Institute of Technology, 4259 Nagatsuta, Midori-ku, Yokohama, Kanagawa 226-8503, Japan
Nobuhiko Maiya
System Development Department, Technology Solutions Sector, Healthcare Business Unit, NIKON CORPORATION, 471, Nagaodai-cho, Sakae-ku, Yokohama, Kanagawa 244-8533, Japan
Chisako Iwamoto
System Development Department, Technology Solutions Sector, Healthcare Business Unit, NIKON CORPORATION, 471, Nagaodai-cho, Sakae-ku, Yokohama, Kanagawa 244-8533, Japan
Shoko Yamasaki
Mathematical Sciences Research Laboratory, Research & Development Division, NIKON CORPORATION, 471, Nagaodai-cho, Sakae-ku, Yokohama, Kanagawa 244-8533, Japan
Yosuke Otsubo
Mathematical Sciences Research Laboratory, Research & Development Division, NIKON CORPORATION, 471, Nagaodai-cho, Sakae-ku, Yokohama, Kanagawa 244-8533, Japan
Daiki Nakatsu
Cell Biology Center, Institute of Innovative Research, Tokyo Institute of Technology, 4259 Nagatsuta, Midori-ku, Yokohama, Kanagawa 226-8503, Japan
Rina Kunishige
Department of Life Sciences, Graduate School of Arts and Sciences, The University of Tokyo, 3-8-1 Komaba, Meguro-ku, Tokyo 153-8902, Japan; Cell Biology Center, Institute of Innovative Research, Tokyo Institute of Technology, 4259 Nagatsuta, Midori-ku, Yokohama, Kanagawa 226-8503, Japan
Masayuki Murata
Department of Life Sciences, Graduate School of Arts and Sciences, The University of Tokyo, 3-8-1 Komaba, Meguro-ku, Tokyo 153-8902, Japan; Cell Biology Center, Institute of Innovative Research, Tokyo Institute of Technology, 4259 Nagatsuta, Midori-ku, Yokohama, Kanagawa 226-8503, Japan; Corresponding author
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.