عنوان

Multiscale Spatio-Temporal Modeling of Cell Population in Tissue Architecture and Drug Delivery Nanoparticles

Number

TL51313

.Language of Text, Soundtrack etc

انگلیسی

Title Proper

Multiscale Spatio-Temporal Modeling of Cell Population in Tissue Architecture and Drug Delivery Nanoparticles

General Material Designation

[Thesis]

First Statement of Responsibility

Islam, Mohammad Aminul

Subsequent Statement of Responsibility

Barua, Dipak

Name of Publisher, Distributor, etc.

Missouri University of Science and Technology

Date of Publication, Distribution, etc.

2019

Text of Note

129 p.

Dissertation or thesis details and type of degree

Ph.D.

Body granting the degree

Missouri University of Science and Technology

Text preceding or following the note

2019

Text of Note

Multiscale nature of a biological system span at many order of magnitudes in time and space. Molecular interaction at lower scale is connected with the higher scale behavior of tissue or organism. Integrating the dynamics and information at different time and space can give a fundamental physiological understanding of the higher level phenomena. But complex features, functions, interconnectivity between different scales and lack of information on the fundamental physiological property make the model difficult and computationally challenging. The multiscale modeling approach can bridge the gap between different scale by a systemic integration of the complex dynamic behavior. Here, the focus is on developing multiscale modeling approaches to study the dynamic behavior of tissue. First, a multiscale spatiotemporal model is designed to investigate the tissue scale dispersion and penetration of nanoparticles from lower scale particle-cell interaction. The results obtained suggest that the size of nanoparticles may play less significant roles in tissue scale penetration and dispersion. The effect of nanoparticle size is less prominent due to the presence of particle-cell interaction and advection. This scalable spatiotemporal model can simulate the dynamics of drug delivery particles in the extracellular domain of a tissue. Furthermore, a parallel framework is developed to study the collective behavior of the cell population in a tissue architecture from their intracellular and extracellular reaction kinetics. The framework can model population dynamics at the tissue scale from a single cell biochemical reaction network accurately and efficiently. Finally, the framework's capability is demonstrated by simulating a full-scale model of bacterial quorum sensing, where the dynamics of a population of bacterial cells is dictated by the intercellular communications in a time-evolving growth environment.

Subject Term

Biology

Subject Term

Chemical engineering

Islam, Mohammad Aminul

Barua, Dipak

Missouri University of Science and Technology

Electronic name

p

[Thesis]

276903

a

Y