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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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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 |
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. |
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