Author | dc.contributor.author | Salgado, J. Cristián | |
Author | dc.contributor.author | Olivera Nappa, Álvaro | es_CL |
Author | dc.contributor.author | Gerdtzen Hakim, Ziomara | es_CL |
Author | dc.contributor.author | Tapia, Victoria | es_CL |
Author | dc.contributor.author | Theil, Elizabeth C. | es_CL |
Author | dc.contributor.author | Conca Rosende, Carlos | es_CL |
Author | dc.contributor.author | Núñez González, Marco | es_CL |
Admission date | dc.date.accessioned | 2011-05-25T12:00:00Z | |
Available date | dc.date.available | 2011-05-25T12:00:00Z | |
Publication date | dc.date.issued | 2010-11-03 | |
Cita de ítem | dc.identifier.citation | BMC SYSTEMS BIOLOGY, Volume: 4, Article Number: 147, 2010 | es_CL |
Identifier | dc.identifier.issn | 1752-0509 | |
Identifier | dc.identifier.uri | https://repositorio.uchile.cl/handle/2250/119216 | |
General note | dc.description | Artículo de publicación ISI | es_CL |
Abstract | dc.description.abstract | Background: Iron is essential for the maintenance of basic cellular processes. In the regulation of its cellular levels,
ferritin acts as the main intracellular iron storage protein. In this work we present a mathematical model for the
dynamics of iron storage in ferritin during the process of intestinal iron absorption. A set of differential equations
were established considering kinetic expressions for the main reactions and mass balances for ferritin, iron and a
discrete population of ferritin species defined by their respective iron content.
Results: Simulation results showing the evolution of ferritin iron content following a pulse of iron were compared
with experimental data for ferritin iron distribution obtained with purified ferritin incubated in vitro with different
iron levels. Distinctive features observed experimentally were successfully captured by the model, namely the
distribution pattern of iron into ferritin protein nanocages with different iron content and the role of ferritin as a
controller of the cytosolic labile iron pool (cLIP). Ferritin stabilizes the cLIP for a wide range of total intracellular iron
concentrations, but the model predicts an exponential increment of the cLIP at an iron content > 2,500 Fe/ferritin
protein cage, when the storage capacity of ferritin is exceeded.
Conclusions: The results presented support the role of ferritin as an iron buffer in a cellular system. Moreover, the
model predicts desirable characteristics for a buffer protein such as effective removal of excess iron, which keeps
intracellular cLIP levels approximately constant even when large perturbations are introduced, and a freely available
source of iron under iron starvation. In addition, the simulated dynamics of the iron removal process are extremely
fast, with ferritin acting as a first defense against dangerous iron fluctuations and providing the time required by
the cell to activate slower transcriptional regulation mechanisms and adapt to iron stress conditions. In summary,
the model captures the complexity of the iron-ferritin equilibrium, and can be used for further theoretical
exploration of the role of ferritin in the regulation of intracellular labile iron levels and, in particular, as a relevant
regulator of transepithelial iron transport during the process of intestinal iron absorption. | es_CL |
Patrocinador | dc.description.sponsorship | This work was partially supported by the Millennium Scientific Initiative ICM
project P05-001-F, FONDECYT Research Initiation Grant 11080016 and
FONDECYT Projects 1070840 and 1050048. AO-N was supported by an ICDB
post-doctoral fellowship. | es_CL |
Lenguage | dc.language.iso | en | es_CL |
Publisher | dc.publisher | BIOMED CENTRAL LTD | es_CL |
Keywords | dc.subject | CELL MODEL | es_CL |
Título | dc.title | Mathematical modeling of the dynamic storage of iron in ferritin | es_CL |
Document type | dc.type | Artículo de revista | |