| Title: | Progressive glucose stimulation of islet beta cells reveals a transition from segregated to integrated modular functional connectivity patterns |
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| 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) |
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| Files: |  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
 http://www.nature.com/articles/srep07845
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| Language: | English |
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| Work type: | Scientific work |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | FNM - Faculty of Natural Sciences and Mathematics
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| 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. |
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| Keywords: | endocrinology, computational biophysics, calcium signalling, biological physics |
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| Publication status in journal: | Published |
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| Article version: | Publisher's version of article |
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| Year of publishing: | 2015 |
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| Number of pages: | str. 1-10 |
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| Numbering: | Letn. 5 |
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| PID: | 20.500.12556/DKUM-59304  |
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| ISSN: | 2045-2322 |
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| UDC: | 612 |
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| ISSN on article: | 2045-2322 |
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| COBISS.SI-ID: | 512466488 |
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| DOI: | 10.1038/srep07845 |
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| NUK URN: | URN:SI:UM:DK:MC5MEGCG |
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| Publication date in DKUM: | 23.06.2017 |
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| Views: | 1073 |
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| Downloads: | 301 |
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| Metadata: |     |
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| Categories: | Misc.
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