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dc.contributor.authorBrielle, Shlomi
dc.contributor.authorKaganovich, Daniel
dc.contributor.authorGura Sadovsky, Rotem
dc.contributor.authorEngland, Jeremy L.
dc.date.accessioned2017-06-13T19:27:42Z
dc.date.available2017-06-13T19:27:42Z
dc.date.issued2017-03
dc.date.submitted2016-12
dc.identifier.issn2211-1247
dc.identifier.urihttp://hdl.handle.net/1721.1/109838
dc.description.abstractThe fluorescence microscopy methods presently used to characterize protein motion in cells infer protein motion from indirect observables, rather than measuring protein motion directly. Operationalizing these methods requires expertise that can constitute a barrier to their broad utilization. Here, we have developed PIPE (photo-converted intensity profile expansion) to directly measure the motion of tagged proteins and quantify it using an effective diffusion coefficient. PIPE works by pulsing photo-convertible fluorescent proteins, generating a peaked fluorescence signal at the pulsed region, and analyzing the spatial expansion of the signal. We demonstrate PIPE’s success in measuring accurate diffusion coefficients in silico and in vitro and compare effective diffusion coefficients of native cellular proteins and free fluorophores in vivo. We apply PIPE to measure diffusion anomality in the cell and use it to distinguish free fluorophores from native cellular proteins. PIPE’s direct measurement and ease of use make it appealing for cell biologists.en_US
dc.language.isoen_US
dc.publisherElsevieren_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/j.celrep.2017.02.063en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourceElsevieren_US
dc.titleMeasurement of Rapid Protein Diffusion in the Cytoplasm by Photo-Converted Intensity Profile Expansionen_US
dc.typeArticleen_US
dc.identifier.citationGura Sadovsky, Rotem; Brielle, Shlomi; Kaganovich, Daniel; England and Jeremy L. “Measurement of Rapid Protein Diffusion in the Cytoplasm by Photo-Converted Intensity Profile Expansion.” Cell Reports 18, no. 11 (March 2017): 2795–2806 © 2017 The Authorsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Computational and Systems Biology Programen_US
dc.contributor.mitauthorGura Sadovsky, Rotem
dc.contributor.mitauthorEngland, Jeremy L.
dc.relation.journalCell Reportsen_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.orderedauthorsGura Sadovsky, Rotem; Brielle, Shlomi; Kaganovich, Daniel; England, Jeremy L.en_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0001-9863-8616
dc.identifier.orcidhttps://orcid.org/0000-0001-8414-3153
mit.licensePUBLISHER_CCen_US


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