2003
DOI: 10.1073/pnas.262790699
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Experimental test of a method for determining causal connectivities of species in reactions

Abstract: Theoretical analysis has shown the possibility of determining causal connectivities of reacting species and the reaction mechanism in complex chemical and biochemical reaction systems by applying pulse changes of concentrations of one or more species, of arbitrary magnitude, and measuring the temporal response of as many species as possible. This method, limited to measured and pulsed species, is given here an experimental test on a part of glycolysis including the sequence of reactions from glucose to fructos… Show more

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Cited by 34 publications
(22 citation statements)
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“…Lately, several intracellular signaling pathways have been characterized and found to have oscillatory behavior (4,(7)(8)(9)(10), and the importance of the dynamic behavior of pathway systems has become increasingly clear (11). However, despite the importance of time-dependent variations of chemical substances in biological systems, there are no methods that directly can generate and emulate such complex variations in the concentration of key species on a relevant time (i.e., milliseconds to minutes) and length (submicrometer-to-micrometer-sized objects such as single organelles and cells) scale for experiments on, e.g., receptor functionality and pattern decoding (12), oscillatory, pulsatile, and chaotic Ca 2ϩ fluctuations (5), disruption of secretion patterns in disease states; for elucidating input and output relations in system biology (11)(12)(13); and for precisely mimicking release of signaling molecules (14). With current methods for solution exchange around single cells or cell fragments such as photolysis (15,16), U-tubes (17), puffer pipettes (18), multibarrels (19), or liquid ''filament switches'' (20), it is difficult to achieve a complex, rapid, and well-controlled waveform exposure due to a too small number of solution environments, inability to switch from high to low concentrations, lack of precision, or poor time resolution.…”
mentioning
confidence: 99%
“…Lately, several intracellular signaling pathways have been characterized and found to have oscillatory behavior (4,(7)(8)(9)(10), and the importance of the dynamic behavior of pathway systems has become increasingly clear (11). However, despite the importance of time-dependent variations of chemical substances in biological systems, there are no methods that directly can generate and emulate such complex variations in the concentration of key species on a relevant time (i.e., milliseconds to minutes) and length (submicrometer-to-micrometer-sized objects such as single organelles and cells) scale for experiments on, e.g., receptor functionality and pattern decoding (12), oscillatory, pulsatile, and chaotic Ca 2ϩ fluctuations (5), disruption of secretion patterns in disease states; for elucidating input and output relations in system biology (11)(12)(13); and for precisely mimicking release of signaling molecules (14). With current methods for solution exchange around single cells or cell fragments such as photolysis (15,16), U-tubes (17), puffer pipettes (18), multibarrels (19), or liquid ''filament switches'' (20), it is difficult to achieve a complex, rapid, and well-controlled waveform exposure due to a too small number of solution environments, inability to switch from high to low concentrations, lack of precision, or poor time resolution.…”
mentioning
confidence: 99%
“…Correlated responses to perturbations linked the metabolites in a manner that recreated much of the chemical and regulatory connectivity that is already known for glycolysis. Refinements of this approach, using more extensive system perturbations, have so far been restricted to small systems under optimal experimental conditions 31,32 . The application of correlation analysis to entire metabolite networks presents far greater challenges.…”
Section: Pathway Reconstruction From Correlationmentioning
confidence: 99%
“…Using the simple linear rules, Torralba et al 55 investigated the glycolysis pathway, a well-appreciated network module involving energy metabolism. They confirmed that simple linear rules can be used to reinfer the causal connectivity of glycolysis pathway.…”
Section: Detecting Connectivities Of Reaction Molecules By First-ordementioning
confidence: 99%