Modeling enamel matrix secretion in mammalian teeth

Research output: Contribution to journalArticle

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Modeling enamel matrix secretion in mammalian teeth. / Häkkinen, Teemu J.; Sova, S. Susanna; Corfe, Ian J.; Tjäderhane, Leo; Hannukainen, Antti; Jernvall, Jukka.

In: PLoS computational biology, Vol. 15, No. 5, e1007058, 01.05.2019, p. 1-12.

Research output: Contribution to journalArticle

Harvard

Häkkinen, TJ, Sova, SS, Corfe, IJ, Tjäderhane, L, Hannukainen, A & Jernvall, J 2019, 'Modeling enamel matrix secretion in mammalian teeth', PLoS computational biology, vol. 15, no. 5, e1007058, pp. 1-12. https://doi.org/10.1371/journal.pcbi.1007058

APA

Häkkinen, T. J., Sova, S. S., Corfe, I. J., Tjäderhane, L., Hannukainen, A., & Jernvall, J. (2019). Modeling enamel matrix secretion in mammalian teeth. PLoS computational biology, 15(5), 1-12. [e1007058]. https://doi.org/10.1371/journal.pcbi.1007058

Vancouver

Häkkinen TJ, Sova SS, Corfe IJ, Tjäderhane L, Hannukainen A, Jernvall J. Modeling enamel matrix secretion in mammalian teeth. PLoS computational biology. 2019 May 1;15(5):1-12. e1007058. https://doi.org/10.1371/journal.pcbi.1007058

Author

Häkkinen, Teemu J. ; Sova, S. Susanna ; Corfe, Ian J. ; Tjäderhane, Leo ; Hannukainen, Antti ; Jernvall, Jukka. / Modeling enamel matrix secretion in mammalian teeth. In: PLoS computational biology. 2019 ; Vol. 15, No. 5. pp. 1-12.

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@article{75b94faadf1b45e09a982677d32c2875,
title = "Modeling enamel matrix secretion in mammalian teeth",
abstract = "The most mineralized tissue of the mammalian body is tooth enamel. Especially in species with thick enamel, three-dimensional (3D) tomography data has shown that the distribution of enamel varies across the occlusal surface of the tooth crown. Differences in enamel thickness among species and within the tooth crown have been used to examine taxonomic affiliations, life history, and functional properties of teeth. Before becoming fully mineralized, enamel matrix is secreted on the top of a dentine template, and it remains to be explored how matrix thickness is spatially regulated. To provide a predictive framework to examine enamel distribution, we introduce a computational model of enamel matrix secretion that maps the dentine topography to the enamel surface topography. Starting from empirical enamel-dentine junctions, enamel matrix deposition is modeled as a diffusion-limited free boundary problem. Using laboratory microCT and synchrotron tomographic data of pig molars that have markedly different dentine and enamel surface topographies, we show how diffusion-limited matrix deposition accounts for both the process of matrix secretion and the final enamel distribution. Simulations reveal how concave and convex dentine features have distinct effects on enamel surface, thereby explaining why the enamel surface is not a straightforward extrapolation of the dentine template. Human and orangutan molar simulations show that even subtle variation in dentine topography can be mapped to the enamel surface features. Mechanistic models of extracellular matrix deposition can be used to predict occlusal morphologies of teeth.",
author = "H{\"a}kkinen, {Teemu J.} and Sova, {S. Susanna} and Corfe, {Ian J.} and Leo Tj{\"a}derhane and Antti Hannukainen and Jukka Jernvall",
year = "2019",
month = "5",
day = "1",
doi = "10.1371/journal.pcbi.1007058",
language = "English",
volume = "15",
pages = "1--12",
journal = "PLoS computational biology",
issn = "1553-734X",
publisher = "Public Library of Science",
number = "5",

}

RIS - Download

TY - JOUR

T1 - Modeling enamel matrix secretion in mammalian teeth

AU - Häkkinen, Teemu J.

AU - Sova, S. Susanna

AU - Corfe, Ian J.

AU - Tjäderhane, Leo

AU - Hannukainen, Antti

AU - Jernvall, Jukka

PY - 2019/5/1

Y1 - 2019/5/1

N2 - The most mineralized tissue of the mammalian body is tooth enamel. Especially in species with thick enamel, three-dimensional (3D) tomography data has shown that the distribution of enamel varies across the occlusal surface of the tooth crown. Differences in enamel thickness among species and within the tooth crown have been used to examine taxonomic affiliations, life history, and functional properties of teeth. Before becoming fully mineralized, enamel matrix is secreted on the top of a dentine template, and it remains to be explored how matrix thickness is spatially regulated. To provide a predictive framework to examine enamel distribution, we introduce a computational model of enamel matrix secretion that maps the dentine topography to the enamel surface topography. Starting from empirical enamel-dentine junctions, enamel matrix deposition is modeled as a diffusion-limited free boundary problem. Using laboratory microCT and synchrotron tomographic data of pig molars that have markedly different dentine and enamel surface topographies, we show how diffusion-limited matrix deposition accounts for both the process of matrix secretion and the final enamel distribution. Simulations reveal how concave and convex dentine features have distinct effects on enamel surface, thereby explaining why the enamel surface is not a straightforward extrapolation of the dentine template. Human and orangutan molar simulations show that even subtle variation in dentine topography can be mapped to the enamel surface features. Mechanistic models of extracellular matrix deposition can be used to predict occlusal morphologies of teeth.

AB - The most mineralized tissue of the mammalian body is tooth enamel. Especially in species with thick enamel, three-dimensional (3D) tomography data has shown that the distribution of enamel varies across the occlusal surface of the tooth crown. Differences in enamel thickness among species and within the tooth crown have been used to examine taxonomic affiliations, life history, and functional properties of teeth. Before becoming fully mineralized, enamel matrix is secreted on the top of a dentine template, and it remains to be explored how matrix thickness is spatially regulated. To provide a predictive framework to examine enamel distribution, we introduce a computational model of enamel matrix secretion that maps the dentine topography to the enamel surface topography. Starting from empirical enamel-dentine junctions, enamel matrix deposition is modeled as a diffusion-limited free boundary problem. Using laboratory microCT and synchrotron tomographic data of pig molars that have markedly different dentine and enamel surface topographies, we show how diffusion-limited matrix deposition accounts for both the process of matrix secretion and the final enamel distribution. Simulations reveal how concave and convex dentine features have distinct effects on enamel surface, thereby explaining why the enamel surface is not a straightforward extrapolation of the dentine template. Human and orangutan molar simulations show that even subtle variation in dentine topography can be mapped to the enamel surface features. Mechanistic models of extracellular matrix deposition can be used to predict occlusal morphologies of teeth.

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U2 - 10.1371/journal.pcbi.1007058

DO - 10.1371/journal.pcbi.1007058

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VL - 15

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JO - PLoS computational biology

JF - PLoS computational biology

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ER -

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