Diabetes systems biology :quantitative methods for understanding beta-cell dynamics and function /

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Diabetes systems biology :quantitative methods for understanding beta-cell dynamics and function /

Institute of Physics (Great Britain), - Personal Name; Khadra, Anmar, - Personal Name;

"Version: 20201201"--Title page verso.Includes bibliographical references.1. Introduction / Anmar Khadra -- part I. Beta-cell function. 2. An introduction to beta cell electrophysiology and modeling / Leslie S. Satin, Margaret Watts and Arthur S. Sherman -- 3. Recent advances in mathematical modeling and statistical analysis of exocytosis in endocrine cells / Morten Gram Pedersen, Francesco Montefusco, Alessia Tagliavini and Giuliana Cortese -- part II. Modeling islet biology. 4. Islet architecture / Junghyo Jo -- 5. Intra-islet network / Junghyo Jo and Margaret Watts -- 6. The role of islet cell network in insulin secretion / I. Johanna Stamper, Nathaniel Wolanyk and Xujing Wang -- part III. Insulin release in health and disease. 7. Insulin release in health and disease / Chiara Dalla Man and Morten Gram Pedersen -- part IV. Autoimmune type 1 diabetes. 8. Applying systems biology to the genetics of age-of-onset dependent heterogeneity in type 1 diabetes / Shouguo Gao, Nathaniel Wolanyk, Soumitra Ghosh and Xujing Wang -- 9. Immune-cell dynamics in type 1 diabetes / Hassan Jamaleddine and Anmar Khadra -- part V. Diabetes implications on kidneys. 10. Diabetes implications on kidneys / Anita T. Layton and Rui Hu.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. Part of Biophysical Society-IOP series.Senior and first/second year graduate students and junior researchers in diabetes systems biology, physiology and biological mathematical modelling.Also available in print.Mode of access: World Wide Web.System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.Anmar Khadra is an associate professor in the Department of Physiology and associate member of the Department of Physics and Department of Mathematics and Statistics at McGill University, Montreal, Canada. He is the co-director of the Centre for Applied Mathematics in Bioscience and Medicine at the university.Title from PDF title page (viewed on January 14, 2021).

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Series Title: -
Call Number: -
Publisher: : .,
Collation: 1 online resource (various pagings) :illustrations (some color).
Language: English
ISBN/ISSN: 9780750337397
Classification: 616.4620015118
Content Type: -
Media Type: -
Carrier Type: -
Edition: -
Subject(s): SCIENCE / Life Sciences / Biophysics.
Biomedical engineering.
Models, Theoretical.
Diabetes
Systems biology
Pancreatic beta cells
Quantitative research
Diabetes Mellitus.
Systems Biology.
Insulin-Secreting Cells.
Evaluation Studies as Topic.
Specific Detail Info: -
Statement of Responsibility: edited by Anmar Khadra.

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