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dc.contributor.authorGuo, Syuan-Ming
dc.contributor.authorBag, Nirmalya
dc.contributor.authorMishra, Aseem
dc.contributor.authorWohland, Thorsten
dc.contributor.authorBathe, Mark
dc.date.accessioned2014-08-14T13:02:10Z
dc.date.available2014-08-14T13:02:10Z
dc.date.issued2014-01
dc.date.submitted2013-08
dc.identifier.issn00063495
dc.identifier.issn1542-0086
dc.identifier.urihttp://hdl.handle.net/1721.1/88700
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.en_US
dc.description.sponsorshipMIT Faculty Start-up Funden_US
dc.language.isoen_US
dc.publisherElsevieren_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/j.bpj.2013.11.4458en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceElsevier Open Archiveen_US
dc.titleBayesian Total Internal Reflection Fluorescence Correlation Spectroscopy Reveals hIAPP-Induced Plasma Membrane Domain Organization in Live Cellsen_US
dc.typeArticleen_US
dc.identifier.citationGuo, Syuan-Ming, Nirmalya Bag, Aseem Mishra, Thorsten Wohland, and Mark Bathe. “Bayesian Total Internal Reflection Fluorescence Correlation Spectroscopy Reveals hIAPP-Induced Plasma Membrane Domain Organization in Live Cells.” Biophysical Journal 106, no. 1 (January 2014): 190–200.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemistryen_US
dc.contributor.mitauthorGuo, Syuan-Mingen_US
dc.contributor.mitauthorBathe, Marken_US
dc.relation.journalBiophysical Journalen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsGuo, Syuan-Ming; Bag, Nirmalya; Mishra, Aseem; Wohland, Thorsten; Bathe, Marken_US
dc.identifier.orcidhttps://orcid.org/0000-0002-6199-6855
dc.identifier.orcidhttps://orcid.org/0000-0002-9009-6813
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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