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Title:Progressive glucose stimulation of islet beta cells reveals a transition from segregated to integrated modular functional connectivity patterns
Authors:ID Markovič, Rene (Author)
ID Stožer, Andraž (Author)
ID Gosak, Marko (Author)
ID Dolenšek, Jurij (Author)
ID Marhl, Marko (Author)
ID Rupnik, Marjan (Author)
Files:.pdf Scientific_Reports_2015_Markovic_et_al._Progressive_glucose_stimulation_of_islet_beta_cells_reveals_a_transition_from_segregated_to_inte.pdf (957,14 KB)
MD5: EC7D3703C3CC6A3A511DDE99A9F83CC9
URL http://www.nature.com/articles/srep07845
Work type:Scientific work
Typology:1.01 - Original Scientific Article
Organization:FNM - Faculty of Natural Sciences and Mathematics
Abstract:Collective beta cell activity in islets of Langerhans is critical for the supply of insulin within an organism. Even though individual beta cells are intrinsically heterogeneous, the presence of intercellular coupling mechanisms ensures coordinated activity and a well-regulated exocytosis of insulin. In order to get a detailed insight into the functional organization of the syncytium, we applied advanced analytical tools from the realm of complex network theory to uncover the functional connectivity pattern among cells composing the intact islet. The procedure is based on the determination of correlations between long temporal traces obtained from confocal functional multicellular calcium imaging of beta cells stimulated in a stepwise manner with a range of physiological glucose concentrations. Our results revealed that the extracted connectivity networks are sparse for low glucose concentrations, whereas for higher stimulatory levels they become more densely connected. Most importantly, for all ranges of glucose concentration beta cells within the islets form locally clustered functional sub-compartments, thereby indicating that their collective activity profiles exhibit a modular nature. Moreover, we show that the observed non-linear functional relationship between different network metrics and glucose concentration represents a well-balanced setup that parallels physiological insulin release.
Keywords:endocrinology, computational biophysics, calcium signalling, biological physics
Publication status:Published
Publication version:Version of Record
Year of publishing:2015
Number of pages:str. 1-10
Numbering:Letn. 5
PID:20.500.12556/DKUM-59304 New window
ISSN on article:2045-2322
COBISS.SI-ID:512466488 New window
DOI:10.1038/srep07845 New window
Publication date in DKUM:23.06.2017
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Record is a part of a journal

Title:Scientific reports
Shortened title:Sci. rep.
Publisher:Nature Publishing Group
COBISS.SI-ID:18727432 New window


License:CC BY 4.0, Creative Commons Attribution 4.0 International
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:11.05.2016

Secondary language

Keywords:endokrinologija, računalniška biofizika, kalcijevo signaliziranje, biološka fizika, biofizika


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