2012
DOI: 10.1002/jemt.22121
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Phasor‐flim analysis of NADH distribution and localization in the nucleus of live progenitor myoblast cells

Abstract: Analysis of the cellular distributions of coenzymes including NADH may aid in understanding a cells metabolic status. We altered serum concentration (0%, 2% and 10%) to induce living myoblast cells to undergo the early stages of differentiation. Through microscopy and phasor-FLIM, we spatially mapped and identified variations in the distribution of free and bound NADH. Undifferentiated cells displayed abundant free NADH within the nucleus along with specific regions of more bound NADH. Complete serum starvatio… Show more

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Cited by 36 publications
(39 citation statements)
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“…This effect is not surprising, because a large part of mitochondrial metabolism on oxidoreductase enzymes uses NADH as a cofactor to catalyze reactions. Concomitantly, the intensity from NADH in the cell nucleus is considerably lower than in other intracellular compartments (39,40) (Fig. 1A), suggesting a compartmentalized metabolism for NADH cofactors.…”
Section: Resultsmentioning
confidence: 91%
“…This effect is not surprising, because a large part of mitochondrial metabolism on oxidoreductase enzymes uses NADH as a cofactor to catalyze reactions. Concomitantly, the intensity from NADH in the cell nucleus is considerably lower than in other intracellular compartments (39,40) (Fig. 1A), suggesting a compartmentalized metabolism for NADH cofactors.…”
Section: Resultsmentioning
confidence: 91%
“…Though the models appropriately demonstrate the utility of NADH FLIM for resolving different impaired metabolic processes, the classification methods can likely be improved through the use of more advanced algorithms, larger data sets, and by utilizing a subset of classifier variables to minimize confounds associated with highdimensional data sets including poor sampling of the variable space. Future investigations will explore the utility of phasor analysis of FLIM data to potentially avoid confounds with lifetime-fitting and classification with high-dimensional data [17,64,65].…”
Section: Discussionmentioning
confidence: 99%
“…In this paper, the primary goal is to use the information about the distribution of the phasor points and predict the behavior of unknown sample. So far only the average phasor position of a distribution has been used to separate differential behavior of cells undergoing different metabolism or for stem cells undergoing different stages of differentiation [4][5][6]. However, tissue samples are usually more heterogeneous, have a larger phasor distribution, and thus just the calculation of average phasor positions of the distribution is not enough to distinguish the difference between the samples.…”
Section: Discussionmentioning
confidence: 99%
“…Phasor approach to fluorescence lifetime imaging has been applied to study cellular metabolism and to evaluate presence of reactive oxygen species in living cell and tissue samples [1][2][3][4][5][6]. This approach is well established for mapping lifetime to a fluorescence image and separating areas of image having distinctively different lifetimes.…”
Section: Introductionmentioning
confidence: 99%