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Network science as a gateway to understanding of emerging dynamics and function of multicellular systems
Published on Jul 09, 2018496 Views
The past two decades have witnessed the coming of age of network science as the central paradigm behind some of the most fascinating discoveries of the 21st century. In the complex networks framework,
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Chapter list
Network science as a gateway to understanding of emerging dynamics and function of multicellular systems00:00
Network science – a hot topic since 199800:52
Complex networks and biological systems02:02
Basic metrics for the characterization of the network‘s structure02:45
Node degree and degree distribution.03:05
The average clustering coefficient04:12
Average shortest path length (global efficiency)05:15
Network‘s modularity (community structure)05:57
Small-world networks06:26
Example: the network of movie actors07:57
Subcellular molecular networks09:23
Protein-protein interaction (PPI) network09:55
Functional connectivity of brain networks – extracting interaction patterns out of dynamics10:50
Our work: Connectivity within the islets of Langerhans -> complex network 12:25
Regulation of blood glucose level by pancreatic islets12:49
Why is it important to study the physiology of beta cells?13:36
Cellular mechanisms for blood sugar regulation13:55
Motivation: Regulation of insulin secretion is a collective process! 14:48
Measuring the Ca2+ dynamics in beta cells15:29
Extracting the functional connectivity patterns between beta cells16:16
Functional connectivity between beta cells reflects small-world properties C17:12
Intra- and inter-cellular beta cell activity under different glucose concentrations18:11
Assessing the beta cell network functionality in pre-diabetic animal models19:16
Is the „standard“ network approach an oversimplification?20:04
The multilayer network formalism20:47
Studying the relationship between membrane potential and Ca2+ dynamics in beta cell syncytium by means of multiplex network representation21:07
Multilayered intercellular beta cell networks21:36
Assessing the temporal nature of intercellular communication by means of multilayer network analysis21:53
We live in a world of networks22:27
Acknowledgments23:03