Turing patterns inside cells
Concentration gradients inside cells are involved in key processes such as cell division and morphogenesis. Here we show that a model of the enzymatic step catalized by phosphofructokinase (PFK), a step which is responsible for the appearance of homogeneous oscillations in the glycolytic pathway, di...
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todo:paper_19326203_v2_n10_p_Strier2023-10-03T16:35:00Z Turing patterns inside cells Strier, D.E. Dawson, S.P. 6 phosphofructokinase adenosine diphosphate adenosine triphosphate 6 phosphofructokinase adenosine diphosphate adenosine triphosphate animal cell article catalysis cell division cell metabolism cell size concentration response diffusion coefficient enzyme kinetics enzyme mechanism glycolysis mathematical computing molecular mechanics nonhuman oscillation protein protein interaction regulatory mechanism steady state yeast biological model biophysics chemical model chemistry diffusion glycolysis metabolism methodology morphogenesis oscillometry theoretical model Adenosine Diphosphate Adenosine Triphosphate Biophysics Catalysis Cell Division Diffusion Glycolysis Models, Biological Models, Chemical Models, Theoretical Morphogenesis Oscillometry Phosphofructokinases Concentration gradients inside cells are involved in key processes such as cell division and morphogenesis. Here we show that a model of the enzymatic step catalized by phosphofructokinase (PFK), a step which is responsible for the appearance of homogeneous oscillations in the glycolytic pathway, displays Turing patterns with an intrinsic length-scale that is smaller than a typical cell size. All the parameter values are fully consistent with classic experiments on glycolytic oscillations and equal diffusion coefficients are assumed for ATP and ADP. We identify the enzyme concentration and the glycolytic flux as the possible regulators of the pattern. To the best of our knowledge, this is the first closed example of Turing pattern formation in a model of a vital step of the cell metabolism, with a built-in mechanism for changing the diffusion length of the reactants, and with parameter values that are compatible with experiments. Turing patterns inside cells could provide a check-point that combines mechanical and biochemical information to trigger events during the cell division process. © 2007 Strier, Ponce Dawson. Fil:Strier, D.E. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Dawson, S.P. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_19326203_v2_n10_p_Strier |
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Universidad de Buenos Aires |
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I-28 |
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R-134 |
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Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
topic |
6 phosphofructokinase adenosine diphosphate adenosine triphosphate 6 phosphofructokinase adenosine diphosphate adenosine triphosphate animal cell article catalysis cell division cell metabolism cell size concentration response diffusion coefficient enzyme kinetics enzyme mechanism glycolysis mathematical computing molecular mechanics nonhuman oscillation protein protein interaction regulatory mechanism steady state yeast biological model biophysics chemical model chemistry diffusion glycolysis metabolism methodology morphogenesis oscillometry theoretical model Adenosine Diphosphate Adenosine Triphosphate Biophysics Catalysis Cell Division Diffusion Glycolysis Models, Biological Models, Chemical Models, Theoretical Morphogenesis Oscillometry Phosphofructokinases |
spellingShingle |
6 phosphofructokinase adenosine diphosphate adenosine triphosphate 6 phosphofructokinase adenosine diphosphate adenosine triphosphate animal cell article catalysis cell division cell metabolism cell size concentration response diffusion coefficient enzyme kinetics enzyme mechanism glycolysis mathematical computing molecular mechanics nonhuman oscillation protein protein interaction regulatory mechanism steady state yeast biological model biophysics chemical model chemistry diffusion glycolysis metabolism methodology morphogenesis oscillometry theoretical model Adenosine Diphosphate Adenosine Triphosphate Biophysics Catalysis Cell Division Diffusion Glycolysis Models, Biological Models, Chemical Models, Theoretical Morphogenesis Oscillometry Phosphofructokinases Strier, D.E. Dawson, S.P. Turing patterns inside cells |
topic_facet |
6 phosphofructokinase adenosine diphosphate adenosine triphosphate 6 phosphofructokinase adenosine diphosphate adenosine triphosphate animal cell article catalysis cell division cell metabolism cell size concentration response diffusion coefficient enzyme kinetics enzyme mechanism glycolysis mathematical computing molecular mechanics nonhuman oscillation protein protein interaction regulatory mechanism steady state yeast biological model biophysics chemical model chemistry diffusion glycolysis metabolism methodology morphogenesis oscillometry theoretical model Adenosine Diphosphate Adenosine Triphosphate Biophysics Catalysis Cell Division Diffusion Glycolysis Models, Biological Models, Chemical Models, Theoretical Morphogenesis Oscillometry Phosphofructokinases |
description |
Concentration gradients inside cells are involved in key processes such as cell division and morphogenesis. Here we show that a model of the enzymatic step catalized by phosphofructokinase (PFK), a step which is responsible for the appearance of homogeneous oscillations in the glycolytic pathway, displays Turing patterns with an intrinsic length-scale that is smaller than a typical cell size. All the parameter values are fully consistent with classic experiments on glycolytic oscillations and equal diffusion coefficients are assumed for ATP and ADP. We identify the enzyme concentration and the glycolytic flux as the possible regulators of the pattern. To the best of our knowledge, this is the first closed example of Turing pattern formation in a model of a vital step of the cell metabolism, with a built-in mechanism for changing the diffusion length of the reactants, and with parameter values that are compatible with experiments. Turing patterns inside cells could provide a check-point that combines mechanical and biochemical information to trigger events during the cell division process. © 2007 Strier, Ponce Dawson. |
format |
JOUR |
author |
Strier, D.E. Dawson, S.P. |
author_facet |
Strier, D.E. Dawson, S.P. |
author_sort |
Strier, D.E. |
title |
Turing patterns inside cells |
title_short |
Turing patterns inside cells |
title_full |
Turing patterns inside cells |
title_fullStr |
Turing patterns inside cells |
title_full_unstemmed |
Turing patterns inside cells |
title_sort |
turing patterns inside cells |
url |
http://hdl.handle.net/20.500.12110/paper_19326203_v2_n10_p_Strier |
work_keys_str_mv |
AT strierde turingpatternsinsidecells AT dawsonsp turingpatternsinsidecells |
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1807318348314181632 |