Turing patterns inside cells

Autores
Strier, D.E.; Dawson, S.P.
Año de publicación
2007
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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.
Fuente
PLoS ONE 2007;2(10)
Materia
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
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/2.5/ar
Repositorio
Biblioteca Digital (UBA-FCEN)
Institución
Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
OAI Identificador
paperaa:paper_19326203_v2_n10_p_Strier

id BDUBAFCEN_4cf1a1ec3b74fa5636f534c5d6325f77
oai_identifier_str paperaa:paper_19326203_v2_n10_p_Strier
network_acronym_str BDUBAFCEN
repository_id_str 1896
network_name_str Biblioteca Digital (UBA-FCEN)
spelling Turing patterns inside cellsStrier, D.E.Dawson, S.P.6 phosphofructokinaseadenosine diphosphateadenosine triphosphate6 phosphofructokinaseadenosine diphosphateadenosine triphosphateanimal cellarticlecatalysiscell divisioncell metabolismcell sizeconcentration responsediffusion coefficientenzyme kineticsenzyme mechanismglycolysismathematical computingmolecular mechanicsnonhumanoscillationprotein protein interactionregulatory mechanismsteady stateyeastbiological modelbiophysicschemical modelchemistrydiffusionglycolysismetabolismmethodologymorphogenesisoscillometrytheoretical modelAdenosine DiphosphateAdenosine TriphosphateBiophysicsCatalysisCell DivisionDiffusionGlycolysisModels, BiologicalModels, ChemicalModels, TheoreticalMorphogenesisOscillometryPhosphofructokinasesConcentration 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.2007info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12110/paper_19326203_v2_n10_p_StrierPLoS ONE 2007;2(10)reponame:Biblioteca Digital (UBA-FCEN)instname:Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturalesinstacron:UBA-FCENenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/2.5/ar2026-03-26T11:19:19Zpaperaa:paper_19326203_v2_n10_p_StrierInstitucionalhttps://digital.bl.fcen.uba.ar/Universidad públicaNo correspondehttps://digital.bl.fcen.uba.ar/cgi-bin/oaiserver.cgiana@bl.fcen.uba.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:18962026-03-26 11:19:20.884Biblioteca Digital (UBA-FCEN) - Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturalesfalse
dc.title.none.fl_str_mv Turing patterns inside cells
title Turing patterns inside cells
spellingShingle Turing patterns inside cells
Strier, D.E.
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
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
dc.creator.none.fl_str_mv Strier, D.E.
Dawson, S.P.
author Strier, D.E.
author_facet Strier, D.E.
Dawson, S.P.
author_role author
author2 Dawson, S.P.
author2_role author
dc.subject.none.fl_str_mv 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
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
dc.description.none.fl_txt_mv 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.
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.
publishDate 2007
dc.date.none.fl_str_mv 2007
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12110/paper_19326203_v2_n10_p_Strier
url http://hdl.handle.net/20.500.12110/paper_19326203_v2_n10_p_Strier
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/2.5/ar
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/2.5/ar
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv PLoS ONE 2007;2(10)
reponame:Biblioteca Digital (UBA-FCEN)
instname:Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
instacron:UBA-FCEN
reponame_str Biblioteca Digital (UBA-FCEN)
collection Biblioteca Digital (UBA-FCEN)
instname_str Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
instacron_str UBA-FCEN
institution UBA-FCEN
repository.name.fl_str_mv Biblioteca Digital (UBA-FCEN) - Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
repository.mail.fl_str_mv ana@bl.fcen.uba.ar
_version_ 1860737083634614272
score 13.231807