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

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/mor...

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Detalles Bibliográficos
Autores principales: Noguchi, Yoshiyuki, Kano, Fumi, Maiya, Nobuhiko, Iwamoto, Chisako, Yamasaki, Shoko, Otsubo, Yosuke, Nakatsu, Daiki, Kunishige, Rina, Murata, Masayuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8324808/
https://www.ncbi.nlm.nih.gov/pubmed/34337357
http://dx.doi.org/10.1016/j.isci.2021.102724
Descripción
Sumario: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.