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PubMed · 7977728

Convolution: a method for data analysis in perifusion systems.

R M Brand·A R Midgley·W J Williams
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Abstract

Considerable interest has developed in defining how imposed stimuli effect dynamic changes in cellular metabolism. We have developed a miniature perifusion system that can reveal alterations in extracellular protons within seconds after application of metabolic perturbants. This perifusion system contains two pH sensors: one before the cells records changes between medium and test solutions, and one, located just past the cells, records these alterations plus cellular modifications. Because distortion occurs as chemicals pass through perifusion systems, the shape of pH changes induced by switching from medium to test solutions is different at each electrode. This study describes and validates convolution to correct this distortion. Data from HeLa cells exposed to the metabolic uncoupler of oxidative phosphorylation carbonyl cyanide m-chlorophenyl hydrazone have been analyzed with convolution. Cellular response to oxidative phosphorylation removal is comprised of multiple components, is consistent with a rapid uncoupling, and is followed by cellular adaptation. Therefore convolutional analysis can provide an important adjunct to the analysis of data acquired by perifusion and can provide new insights into cellular responsiveness and metabolism.

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Carbonyl Cyanide m-Chlorophenyl HydrazoneElectrodesEquipment DesignHeLa CellsHumansMathematicsModels, BiologicalPerfusionStatistics as TopicJournal ArticleResearch Support, U.S. Gov't, P.H.S.

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R M Brand, A R Midgley, W J Williams. 1994. Convolution: a method for data analysis in perifusion systems.. https://doi.org/10.1152/ajpendo.1994.267.5.e759

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