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2012 | Buch

Introduction to Modeling Biological Cellular Control Systems

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Über dieses Buch

This textbook contains the essential knowledge in modeling, simulation, analysis, and applications in dealing with biological cellular control systems. In particular, the book shows how to use the law of mass balance and the law of mass action to derive an enzyme kinetic model - the Michaelis-Menten function or the Hill function, how to use a current-voltage relation, Nernst potential equilibrium equation, and Hodgkin and Huxley's models to model an ionic channel or pump, and how to use the law of mass balance to integrate these enzyme or channel models into a complete feedback control system. The book also illustrates how to use data to estimate parameters in a model, how to use MATLAB to solve a model numerically, how to do computer simulations, and how to provide model predictions. Furthermore, the book demonstrates how to conduct a stability and sensitivity analysis on a model.

Inhaltsverzeichnis

Frontmatter
1. Overview
Abstract
There are numerous cellular control systems in living organisms. These cellular systems are tightly controlled through numerous feedback control mechanisms so that cells in the living organisms can carry out numerous functions to survive. In this textbook, I select a number of cellular control systems that I have understood most to demonstrate how to model them mathematically in the setting of control theory.
Weijiu Liu
2. Enzyme Kinetics
Abstract
Enzymes catalyze biochemical reactions by lowering the free energy of activation of the reactions. In the reactions, other molecules called substrates are converted into products, but the enzymes themselves are not changed. An enzyme is usually a large protein, considerably larger than its substrate molecules. An enzyme protein has one or more active sites, to which its substrates can bind to form a complex. Enzymes are highly specific, usually catalyzing a reaction of only one particular substrate. They are regulated by complex feedback control mechanisms. In this chapter, we give an introduction to enzyme kinetics, which quantitatively studies how an enzyme catalyzes a reaction. Detailed discussions can be found in biochemistry and enzyme kinetics books such as [5, 18].
Weijiu Liu
3. Preliminary Systems Theory
Abstract
In this chapter, we introduce preliminary systems theory. This includes controllability and observability of a system, stability of equilibrium points of a system, feedback control of a system, and parametric sensitivity of a system. These theories will be used to analyze biological cellular control systems.
Weijiu Liu
4. Control of Blood Glucose
Abstract
Some molecular control mechanisms of blood glucose are described schematically in Fig. 4.1. Glucose comes from food and liver, and is utilized by brain and nerve cells (insulin-independent) via the glucose transporter 3 (GLUT3) or by tissue cells such as muscle, kidney, and fat cells (insulin-dependent) via the glucose transporter 4 (GLUT4). Glucose is transported into and out of liver cells by the concentrationdriven glucose transporter 2 (GLUT2), which is insulin-independent. In response to a low blood glucose level (<80 mg/dl or 4.4 mmol/L), α cells of the pancreas produce the hormone glucagon. The glucagon initiates a series of activations of kinases, and finally leads to the activation of the glycogen phosphorylase, which catalyzes the breakdown of glycogen into glucose. In addition, the series of activations of kinases also result in the inhibition of glycogen synthase and then stop the conversion of glucose to glycogen. In response to a high blood glucose level (> 120 mg/dl or 6.7 mmol/L), β cells of the pancreas secrete insulin. Insulin triggers a series of reactions to activate the glycogen synthase, which catalyzes the conversion of glucose into glycogen. Insulin also initiates a series of activations of kinases in tissue cells to lead to the redistribution of GLUT4 from intracellular storage sites to the plasma membrane. Once at the cell surface, GLUT4 transports glucose into the muscle or fat cells.
Weijiu Liu
5. Control of Calcium in Yeast Cells
Abstract
Yeast cells uptake calcium from their environment via Mid1p, Cch1p, and other unidentified transporters [7], and maintain a normal cytosolic Ca2+ level of 50 – 200 nM by means of a feedback control system [1, 16, 23]. The rise of cytosolic calcium activates calmodulin which in turn activates the serine/threonine phosphatase calcineurin (Fig. 5.1). The activated calcineurin de-phosphorylates Crz1p and suppresses the activity of Vcx1p. Activated Crz1p enters the nucleus and up-regulates the expression of PMR1 and PMC1 (for review, see [13]). Pmr1p pumps calcium ions into the organelle Golgi and possibly endoplasmic reticulum (ER).When the calcium concentrations in Golgi and ER exceed their resting levels of 300 μM [30] and 10 μM [1, 39], respectively, the calcium in ER and Golgi will be secreted along with the canonical secretory pathways. Pmc1p pumps calcium ions into vacuole, an organelle that stores excess ions and nutrients. While most calcium ions inside vacuoles form polyphosphate salts and are not re-usable, a small fraction of calcium ions can be channeled to the cytosol by Yvc1p. The total and free vacuolar calcium concentrations are 2mMand 30 μM, respectively [16]. When needed, Yvc1p channels calcium to the cytosol and contributes to the rise of cytosolic calcium concentration [14].
Weijiu Liu
6. Kinetics of Ion Pumps and Channels
Abstract
Various ions, such as Ca2+, Na+, and K+, enter and exit a cell through selective ion pumps and channels, such as potassium channels, voltage-gated sodium channels, voltage-gated calcium channels, sodium/calcium exchangers, and plasma membrane (PM) calcium ATPases, as demonstrated in Fig. 6.1. Calcium ions Ca2+ enter the cytosol through store-operated channels (SOC) and voltage-gated calcium channels (VGCC). The sarcoplasmic or endoplasmic reticulum Ca2+-ATPases (SERCA) pump Ca2+ from the cytosol into the endoplasmic reticulum (ER) and Ca2+ in ER are released to the cytosol through the inositol (1,4,5)-trisphosphate (IP3)- and Ca2+-mediated inositol (1,4,5)-trisphosphate receptors (IP3R). Ca2+ enter the mitochondrion through uniporters and exit through Ca2+/Na+ antiporters. Ca2+ exit the cytosol through plasma membrane Ca2+-ATPases (PMCA) and Ca2+/Na+ exchangers. Depletion of ER Ca2+ stores causes STIM1 to move to ER-PM junctions, bind to Orai1, and activate store-operated channels for Ca2+ entry [63]. Sodium ions Na+ enter the cytosol through sodium channels (NC) and Ca2+/Na+ exchangers, and exit through N+/K+ ATPases (NKA). Potassium ions K+ enter the cytosol through N+/K+ ATPases and exit through ATP-sensitive K+ channels (ATPKC), delayed rectifying K+ channels (DrKC), and calcium-activated K+ channels (CAKC). H+ ions in mitochondrion are ejected by the respiratory chain driven by the energy released from oxidation of NADP, which are produced from the tricarboxylic acid cycle (TAC, also called Krebs cycle).
Weijiu Liu
7. Control of Intracellular Calcium Oscillations
Abstract
The voltage-gated calcium channel is closed at the end of the cytosol side when the transmembrane voltage is at the resting voltage. If the membrane depolarization exceeds a threshold, most of the voltage-gated calcium channels stay shut, but some open, and calcium ions rush into the cell down their electrochemical gradient. The flow of positive charge inward on the calcium ions outweighs the outward flow of positive charge on potassium ions, so the cytosol is gaining positive charge and its voltages is moving in the positive direction.
Weijiu Liu
8. Store-Operated Calcium Entry
Abstract
Depletion of intracellular calcium stores such as the endoplasmic reticulum (ER) activates store-operated channels for Ca2+ entry across the plasma membrane (PM), as demonstrated in Fig. 8.1. This process is called the store-operated calcium entry (SOCE), a common and ubiquitous mechanism of regulating Ca2+ influx into cells [1, 7, 36, 38]. The best-studied store-operated channel (SOC) is the Ca2+ releaseactivated Ca2+ channel (CRAC) [5, 12, 13, 30, 38, 41, 53]. SOCE is a key feedback controller to stabilize ER Ca2+ and has been proposed as the main Ca2+ entry pathway in non-excitable cells [37, 38]. SOCE, originally known as capacitative calcium entry (CCE), was first proposed by Putney [42] and has been extensively studied later (for review, see Berridge [2, 3], Bird et al [4], Chakrabarti et al [6], Dirksen [9], Lewis [25], Parekh [37], Potier et al [39], Prakriya et al [40], Putney [43], and Shuttleworth et al [47]).
Weijiu Liu
9. Control of Mitochondrial Calcium
Abstract
A mitochondrion is a membrane-enclosed organelle found in most eukaryotic cells. Mitochondria are sometimes described as “cellular power plants” because they generate most of the cell’s supply of adenosine triphosphate (ATP), used as a source of chemical energy. A mitochondrion contains outer and inner membranes composed of phospholipid bilayers and proteins. The space between the outer and inner membranes is called the inter-membrane space and the space within the inner membrane is called the matrix.
Weijiu Liu
10. Control of Phosphoinositide Synthesis
Abstract
Phosphatidylinositol 4,5-bisphosphate (PIP2) is the predominant (99%) phosphoinositide in mammalian cells [7]. PIP2 is synthesized from phosphatidylinositol-4- phosphate (PIP) by PIP2 synthases while PIP is synthesized from Phosphatidylinositol (PI) by PIP synthases. PIP2 in cells is normally hydrolyzed by phospholipase C (PLC) to generate inositol 1,4,5-trisphosphate (IP3) and diacylglycerol (DAG),which serve as second messengers for intracellular Ca2+ mobilization and PKC (protein kinase C) activation, respectively [4, 7]. Thus, PIP2 plays important roles in PLCmediated cellular processes, such as glucose-stimulated insulin secretion [1], storeoperated calcium entry [2, 6], and sterol trafficking [5, 8]. Mathematical models for the process of phosphoinositide synthesis have been established (see, e.g., [3, 7]). In this chapter, we present the model developed by Xu et al [7] because of its simplicity.
Weijiu Liu
Backmatter
Metadaten
Titel
Introduction to Modeling Biological Cellular Control Systems
verfasst von
Weijiu Liu
Copyright-Jahr
2012
Verlag
Springer Milan
Electronic ISBN
978-88-470-2490-8
Print ISBN
978-88-470-2489-2
DOI
https://doi.org/10.1007/978-88-470-2490-8

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