Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.bpj.2013.11.4458
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dc.titleBayesian total internal reflection fluorescence correlation spectroscopy reveals hIAPP-induced plasma membrane domain organization in live cells
dc.contributor.authorGuo, S.-M.
dc.contributor.authorBag, N.
dc.contributor.authorMishra, A.
dc.contributor.authorWohland, T.
dc.contributor.authorBathe, M.
dc.date.accessioned2014-10-27T08:22:40Z
dc.date.available2014-10-27T08:22:40Z
dc.date.issued2014-01-07
dc.identifier.citationGuo, S.-M., Bag, N., Mishra, A., Wohland, T., Bathe, M. (2014-01-07). Bayesian total internal reflection fluorescence correlation spectroscopy reveals hIAPP-induced plasma membrane domain organization in live cells. Biophysical Journal 106 (1) : 190-200. ScholarBank@NUS Repository. https://doi.org/10.1016/j.bpj.2013.11.4458
dc.identifier.issn00063495
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/100155
dc.description.abstractAmyloid fibril deposition of human islet amyloid polypeptide (hIAPP) in pancreatic islet cells is implicated in the pathogenesis of type II diabetes. A growing number of studies suggest that small peptide aggregates are cytotoxic via their interaction with the plasma membrane, which leads to membrane permeabilization or disruption. A recent study using imaging total internal reflection-fluorescence correlation spectroscopy (ITIR-FCS) showed that monomeric hIAPP induced the formation of cellular plasma membrane microdomains containing dense lipids, in addition to the modulation of membrane fluidity. However, the spatial organization of microdomains and their temporal evolution were only partially characterized due to limitations in the conventional analysis and interpretation of imaging FCS datasets. Here, we apply a previously developed Bayesian analysis procedure to ITIR-FCS data to resolve hIAPP-induced microdomain spatial organization and temporal dynamics. Our analysis enables the visualization of the temporal evolution of multiple diffusing species in the spatially heterogeneous cell membrane, lending support to the carpet model for the association mode of hIAPP aggregates with the plasma membrane. The presented Bayesian analysis procedure provides an automated and general approach to unbiased model-based interpretation of imaging FCS data, with broad applicability to resolving the heterogeneous spatial-temporal organization of biological membrane systems. © 2014 by the Biophysical Society.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.bpj.2013.11.4458
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentBIOLOGICAL SCIENCES
dc.description.doi10.1016/j.bpj.2013.11.4458
dc.description.sourcetitleBiophysical Journal
dc.description.volume106
dc.description.issue1
dc.description.page190-200
dc.description.codenBIOJA
dc.identifier.isiut000329407700024
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