Linear Approaches to Intramolecular Forster Resonance Energy Transfer Probe Measurements for Quantitative Modeling

Hdl Handle:
http://hdl.handle.net/10675.2/768
Title:
Linear Approaches to Intramolecular Forster Resonance Energy Transfer Probe Measurements for Quantitative Modeling
Authors:
Birtwistle, Marc R.; von Kriegsheim, Alexander; Kida, Katarzyna; Schwarz, Juliane P.; Anderson, Kurt I. ( 0000-0002-9324-9598 ) ; Kolch, Walter
Abstract:
Numerous unimolecular, genetically-encoded Forster Resonance Energy Transfer (FRET) probes for monitoring biochemical activities in live cells have been developed over the past decade. As these probes allow for collection of high frequency, spatially resolved data on signaling events in live cells and tissues, they are an attractive technology for obtaining data to develop quantitative, mathematical models of spatiotemporal signaling dynamics. However, to be useful for such purposes the observed FRET from such probes should be related to a biological quantity of interest through a defined mathematical relationship, which is straightforward when this relationship is linear, and can be difficult otherwise. First, we show that only in rare circumstances is the observed FRET linearly proportional to a biochemical activity. Therefore in most cases FRET measurements should only be compared either to explicitly modeled probes or to concentrations of products of the biochemical activity, but not to activities themselves. Importantly, we find that FRET measured by standard intensity-based, ratiometric methods is inherently non-linear with respect to the fraction of probes undergoing FRET. Alternatively, we find that quantifying FRET either via (1) fluorescence lifetime imaging (FLIM) or (2) ratiometric methods where the donor emission intensity is divided by the directly-excited acceptor emission intensity (denoted Ralt) is linear with respect to the fraction of probes undergoing FRET. This linearity property allows one to calculate the fraction of active probes based on the FRET measurement. Thus, our results suggest that either FLIM or ratiometric methods based on Ralt are the preferred techniques for obtaining quantitative data from FRET probe experiments for mathematical modeling purposes.
Citation:
PLoS One. 2011 Nov 16; 6(11):e27823
Issue Date:
16-Nov-2011
URI:
http://hdl.handle.net/10675.2/768
DOI:
10.1371/journal.pone.0027823
PubMed ID:
22114702
PubMed Central ID:
PMC3218046
Type:
Article
ISSN:
1932-6203
Appears in Collections:
Georgia Cancer Center: Faculty Research and Presentations

Full metadata record

DC FieldValue Language
dc.contributor.authorBirtwistle, Marc R.en_US
dc.contributor.authorvon Kriegsheim, Alexanderen_US
dc.contributor.authorKida, Katarzynaen_US
dc.contributor.authorSchwarz, Juliane P.en_US
dc.contributor.authorAnderson, Kurt I.en_US
dc.contributor.authorKolch, Walteren_US
dc.date.accessioned2012-10-26T20:30:41Z-
dc.date.available2012-10-26T20:30:41Z-
dc.date.issued2011-11-16en_US
dc.identifier.citationPLoS One. 2011 Nov 16; 6(11):e27823en_US
dc.identifier.issn1932-6203en_US
dc.identifier.pmid22114702en_US
dc.identifier.doi10.1371/journal.pone.0027823en_US
dc.identifier.urihttp://hdl.handle.net/10675.2/768-
dc.description.abstractNumerous unimolecular, genetically-encoded Forster Resonance Energy Transfer (FRET) probes for monitoring biochemical activities in live cells have been developed over the past decade. As these probes allow for collection of high frequency, spatially resolved data on signaling events in live cells and tissues, they are an attractive technology for obtaining data to develop quantitative, mathematical models of spatiotemporal signaling dynamics. However, to be useful for such purposes the observed FRET from such probes should be related to a biological quantity of interest through a defined mathematical relationship, which is straightforward when this relationship is linear, and can be difficult otherwise. First, we show that only in rare circumstances is the observed FRET linearly proportional to a biochemical activity. Therefore in most cases FRET measurements should only be compared either to explicitly modeled probes or to concentrations of products of the biochemical activity, but not to activities themselves. Importantly, we find that FRET measured by standard intensity-based, ratiometric methods is inherently non-linear with respect to the fraction of probes undergoing FRET. Alternatively, we find that quantifying FRET either via (1) fluorescence lifetime imaging (FLIM) or (2) ratiometric methods where the donor emission intensity is divided by the directly-excited acceptor emission intensity (denoted Ralt) is linear with respect to the fraction of probes undergoing FRET. This linearity property allows one to calculate the fraction of active probes based on the FRET measurement. Thus, our results suggest that either FLIM or ratiometric methods based on Ralt are the preferred techniques for obtaining quantitative data from FRET probe experiments for mathematical modeling purposes.en_US
dc.rightsThis is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.en_US
dc.subjectResearch Articleen_US
dc.subjectBiologyen_US
dc.subjectBiochemistryen_US
dc.subjectEnzymesen_US
dc.subjectEnzyme Kineticsen_US
dc.subjectComputational Biologyen_US
dc.subjectBiochemical Simulationsen_US
dc.subjectSignaling Networksen_US
dc.subjectSystems Biologyen_US
dc.subjectDevelopmental Biologyen_US
dc.subjectMolecular Developmenten_US
dc.subjectSignalingen_US
dc.subjectMolecular Cell Biologyen_US
dc.subjectSignal Transductionen_US
dc.subjectSignaling Cascadesen_US
dc.subjectSignaling in Cellular Processesen_US
dc.subjectSignaling in Selected Disciplinesen_US
dc.subjectSignaling Pathwaysen_US
dc.subjectNeuroscienceen_US
dc.subjectMolecular Neuroscienceen_US
dc.subjectSignaling Pathwaysen_US
dc.subjectSystems Biologyen_US
dc.subjectChemistryen_US
dc.subjectPhysical Chemistryen_US
dc.subjectEnergy Transferen_US
dc.subjectEngineeringen_US
dc.subjectBioengineeringen_US
dc.subjectBiological Systems Engineeringen_US
dc.titleLinear Approaches to Intramolecular Forster Resonance Energy Transfer Probe Measurements for Quantitative Modelingen_US
dc.typeArticleen_US
dc.identifier.pmcidPMC3218046en_US
dc.contributor.corporatenameGHSU Cancer Center-

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