2021
DOI: 10.1016/j.isci.2021.102724
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Microscopic image-based covariation network analysis for actin scaffold-modified insulin signaling

Abstract: Network generated from immunostained images of insulin-stimulated rat hepatoma cells Network exhibits synchronized timedependent behaviors of target proteins in cells Network includes information of posttranslational modification and localizationActin scaffold may function as a platform for glycogenesis and protein synthesis

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Cited by 2 publications
(6 citation statements)
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“…In contrast, microscopic single-cell analysis enables a more sensitive and precise analysis by examining only the efficiently resealed cells or the correlation between the amount of antibody introduced and the degradation efficiency. We have employed single-cell analysis with immunofluorescence and confocal microscopy in our previous studies, and this technique enabled the successful analysis and phenotyping of various cells, including resealed cells ( Kano et al, 2017 ; Kunishige et al, 2020 ; Noguchi et al, 2021 ). Therefore, we reasoned that single-cell analysis would allow us to detect the effects of Trim-Away more clearly.…”
Section: Resultsmentioning
confidence: 99%
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“…In contrast, microscopic single-cell analysis enables a more sensitive and precise analysis by examining only the efficiently resealed cells or the correlation between the amount of antibody introduced and the degradation efficiency. We have employed single-cell analysis with immunofluorescence and confocal microscopy in our previous studies, and this technique enabled the successful analysis and phenotyping of various cells, including resealed cells ( Kano et al, 2017 ; Kunishige et al, 2020 ; Noguchi et al, 2021 ). Therefore, we reasoned that single-cell analysis would allow us to detect the effects of Trim-Away more clearly.…”
Section: Resultsmentioning
confidence: 99%
“…Such variations can lower the signal-to-noise ratio of the analysis because the combined results reflect both efficiently and inefficiently resealed cells. In these cases, immunofluorescence and single-cell analysis can be effectively applied to handle the cell-to-cell variation ( Kano et al, 2017 ; Kunishige et al, 2020 ; Noguchi et al, 2021 ). For example, fluorescently labeled dextran has been used as a marker for permeabilization efficiency; this helps eliminate data on non-permeabilized cells and thereby improves the signal-to-noise ratio ( Kano et al, 2017 ).…”
Section: Introductionmentioning
confidence: 99%
“…Covariation network analysis was performed as described in a previous paper [ 15 ]. Briefly, the median of each feature value was first calculated for each time point.…”
Section: Methodsmentioning
confidence: 99%
“…Graph clustering was performed as described in a previous paper [ 15 ]. Briefly, the Overlapping Cluster Generator algorithm [ 17 ] was adapted to the estimated covariation network and graph clustering was performed.…”
Section: Methodsmentioning
confidence: 99%
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