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Diabetes Systems Biology provides senior undergraduate students and junior scientists, interested in diabetes systems biology, with a tool to learn more about the mathematical models and methods used to understand macroscopically and microscopically beta-cell behaviour in health and disease. The book introduces readers to the quantitative methods used to examine beta-cell dynamics, islet biology and architecture, as well as diabetes etiology and implications. The goal is to allow junior researchers in the fields of mathematical biology and biophysics to obtain a broad understanding of these quantitative methods, and guide them into taking the first steps into the field of diabetes systems biology. At the end of each chapter, several problem-solving exercises (that require both analytical and computational skills) are provided for the readers to help them become more proficient in this field.
Key Features
- Comprehensive overview of all relevant aspects of diabetes systems biology and biological mathematical modelling
- Covers quantitative aspects of this discipline with embedded examples
- Features contributions from world-class researchers in the field
- Provides extensive references for further reading
- Includes problem solving exercises at the end of each chapter
1 Introduction
Part I Beta-cell function
2 An introduction to beta cell electrophysiology and modeling
3 Recent advances in mathematical modeling and statistical analysis of exocytosis in endocrine cells
Part II Modeling islet biology
4 Islet architecture
5 Intra-islet network
6 The role of islet cell network in insulin secretion
Part III Insulin release in health and disease
7 Insulin release in health and disease
Part IV Autoimmune type 1 diabetes
8 Applying systems biology to the genetics of age-of-onset dependent heterogeneity in type 1 diabetes
9 Immune-cell dynamics in T1D
Part V Diabetes implications on kidneys
10 Diabetes implications on kidneys