Particle Simulation of Oxidation Induced Band 3 Clustering in Human Erythrocytes.

Oxidative stress mediated clustering of membrane protein band 3 plays an essential role in the clearance of damaged and aged red blood cells (RBCs) from the circulation. While a number of previous experimental studies have observed changes in band 3 distribution after oxidative treatment, the detail...

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Main Authors: Hanae Shimo, Satya Nanda Vel Arjunan, Hiroaki Machiyama, Taiko Nishino, Makoto Suematsu, Hideaki Fujita, Masaru Tomita, Koichi Takahashi
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2015-06-01
Series:PLoS Computational Biology
Online Access:http://europepmc.org/articles/PMC4457884?pdf=render
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author Hanae Shimo
Satya Nanda Vel Arjunan
Hiroaki Machiyama
Taiko Nishino
Makoto Suematsu
Hideaki Fujita
Masaru Tomita
Koichi Takahashi
author_facet Hanae Shimo
Satya Nanda Vel Arjunan
Hiroaki Machiyama
Taiko Nishino
Makoto Suematsu
Hideaki Fujita
Masaru Tomita
Koichi Takahashi
author_sort Hanae Shimo
collection DOAJ
description Oxidative stress mediated clustering of membrane protein band 3 plays an essential role in the clearance of damaged and aged red blood cells (RBCs) from the circulation. While a number of previous experimental studies have observed changes in band 3 distribution after oxidative treatment, the details of how these clusters are formed and how their properties change under different conditions have remained poorly understood. To address these issues, a framework that enables the simultaneous monitoring of the temporal and spatial changes following oxidation is needed. In this study, we established a novel simulation strategy that incorporates deterministic and stochastic reactions with particle reaction-diffusion processes, to model band 3 cluster formation at single molecule resolution. By integrating a kinetic model of RBC antioxidant metabolism with a model of band 3 diffusion, we developed a model that reproduces the time-dependent changes of glutathione and clustered band 3 levels, as well as band 3 distribution during oxidative treatment, observed in prior studies. We predicted that cluster formation is largely dependent on fast reverse reaction rates, strong affinity between clustering molecules, and irreversible hemichrome binding. We further predicted that under repeated oxidative perturbations, clusters tended to progressively grow and shift towards an irreversible state. Application of our model to simulate oxidation in RBCs with cytoskeletal deficiency also suggested that oxidation leads to more enhanced clustering compared to healthy RBCs. Taken together, our model enables the prediction of band 3 spatio-temporal profiles under various situations, thus providing valuable insights to potentially aid understanding mechanisms for removing senescent and premature RBCs.
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spelling doaj.art-a5ebe2335a084d05a7458871d67ddbe92022-12-22T01:03:35ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582015-06-01116e100421010.1371/journal.pcbi.1004210Particle Simulation of Oxidation Induced Band 3 Clustering in Human Erythrocytes.Hanae ShimoSatya Nanda Vel ArjunanHiroaki MachiyamaTaiko NishinoMakoto SuematsuHideaki FujitaMasaru TomitaKoichi TakahashiOxidative stress mediated clustering of membrane protein band 3 plays an essential role in the clearance of damaged and aged red blood cells (RBCs) from the circulation. While a number of previous experimental studies have observed changes in band 3 distribution after oxidative treatment, the details of how these clusters are formed and how their properties change under different conditions have remained poorly understood. To address these issues, a framework that enables the simultaneous monitoring of the temporal and spatial changes following oxidation is needed. In this study, we established a novel simulation strategy that incorporates deterministic and stochastic reactions with particle reaction-diffusion processes, to model band 3 cluster formation at single molecule resolution. By integrating a kinetic model of RBC antioxidant metabolism with a model of band 3 diffusion, we developed a model that reproduces the time-dependent changes of glutathione and clustered band 3 levels, as well as band 3 distribution during oxidative treatment, observed in prior studies. We predicted that cluster formation is largely dependent on fast reverse reaction rates, strong affinity between clustering molecules, and irreversible hemichrome binding. We further predicted that under repeated oxidative perturbations, clusters tended to progressively grow and shift towards an irreversible state. Application of our model to simulate oxidation in RBCs with cytoskeletal deficiency also suggested that oxidation leads to more enhanced clustering compared to healthy RBCs. Taken together, our model enables the prediction of band 3 spatio-temporal profiles under various situations, thus providing valuable insights to potentially aid understanding mechanisms for removing senescent and premature RBCs.http://europepmc.org/articles/PMC4457884?pdf=render
spellingShingle Hanae Shimo
Satya Nanda Vel Arjunan
Hiroaki Machiyama
Taiko Nishino
Makoto Suematsu
Hideaki Fujita
Masaru Tomita
Koichi Takahashi
Particle Simulation of Oxidation Induced Band 3 Clustering in Human Erythrocytes.
PLoS Computational Biology
title Particle Simulation of Oxidation Induced Band 3 Clustering in Human Erythrocytes.
title_full Particle Simulation of Oxidation Induced Band 3 Clustering in Human Erythrocytes.
title_fullStr Particle Simulation of Oxidation Induced Band 3 Clustering in Human Erythrocytes.
title_full_unstemmed Particle Simulation of Oxidation Induced Band 3 Clustering in Human Erythrocytes.
title_short Particle Simulation of Oxidation Induced Band 3 Clustering in Human Erythrocytes.
title_sort particle simulation of oxidation induced band 3 clustering in human erythrocytes
url http://europepmc.org/articles/PMC4457884?pdf=render
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