A stochastic simulation algorithm for analysis of fluorescence recovery after photobleaching kinetics

dc.contributor.author	Γκλώτσος, Δημήτριος	el
dc.contributor.author	Κωστόπουλος, Σπυρίδων	el
dc.contributor.author	Κάβουρας, Διονύσης Α.	el
dc.date.accessioned	2015-01-27T09:57:07Z
dc.date.available	2015-01-27T09:57:07Z
dc.date.issued	2015-01-27
dc.identifier.uri	http://hdl.handle.net/11400/4828
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://e-jst.teiath.gr/	en
dc.subject	Binding
dc.subject	Σύνδεση
dc.subject	FRAP
dc.subject	Reaction-diffusion
dc.subject	Gillespie
dc.subject	Kinetics
dc.subject	Κινητική
dc.subject	Αντίδραση-διάχυση
dc.title	A stochastic simulation algorithm for analysis of fluorescence recovery after photobleaching kinetics	en
heal.type	journalArticle
heal.classification	Science
heal.classification	Physics
heal.classification	Επιστήμες
heal.classification	Φυσική
heal.classificationURI	http://zbw.eu/stw/descriptor/15685-2
heal.classificationURI	http://zbw.eu/stw/descriptor/15669-0
heal.classificationURI	N/A-Επιστήμες
heal.classificationURI	N/A-Φυσική
heal.language	en
heal.access	free
heal.publicationDate	2008
heal.bibliographicCitation	Glotsos, D., Kostopoulos, S. and Cavouras, D.A. (2008). A stochastic simulation algorithm for analysis of fluorescence recovery after photobleaching kinetics. "e-Journal of Science & Technology". [Online] 3(3): 49-66. Available from: http://e-jst.teiath.gr/	en
heal.abstract	INTRODUCTION: Fluorescence recovery after photobleaching (FRAP) is a confocal microscopy-based technique widely used for in vivo quantification of intracellular molecular movements and interactions. FRAP is very useful for elucidating several fundamental but complicated cellular activities, such as cell membrane diffusion and protein binding. AIM: The aim of this study was to investigate whether it is possible to develop stochastic simulation strategies for interpretation of FRAP kinetics. METHODS: A simulation algorithm based on a stochastic simulation of the time evolution of coupled reaction-diffusion biochemical systems was developed for investigating and interpreting FRAP experiments in terms of diffusion and binding. The proposed algorithm was compared with standard deterministic methods that are currently being used for analysis of FRAP curves. RESULTS AND DISCUSSION: Predictions of recovery times of FRAP curves and sum of residuals revealed a good agreement (Table I), at the level of both timescale and intensity, between the proposed model and the standard deterministic methods. The stochastic simulation algorithm presents a firmer physical basis that its deterministic counterparts and might be used to successfully model probabilistic events in the cell, deciphering information in FRAP experiments that cannot be computed using deterministic models.	en
heal.publisher	Νερατζής, Ηλίας	el
heal.publisher	Σιανούδης, Ιωάννης	el
heal.journalName	e-Journal of Science & Technology	en
heal.journalName	e-Περιοδικό Επιστήμης & Τεχνολογίας	el
heal.journalType	peer-reviewed
heal.fullTextAvailability	true