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Quantification of protein delivery in live cells using fluorescence correlation spectroscopy.
Knox, Susan L; Steinauer, Angela; Alpha-Cobb, Garrett; Trexler, Adam; Rhoades, Elizabeth; Schepartz, Alanna.
Afiliação
  • Knox SL; Department of Chemistry, University of California, Berkeley, CA, United States.
  • Steinauer A; Department of Chemistry and Applied Biosciences, Eidgenössische Technische Hochschule Zürich, Zürich, Switzerland.
  • Alpha-Cobb G; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, United States.
  • Trexler A; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, United States.
  • Rhoades E; Department of Chemistry, University of Pennsylvania, Philadelphia, PA, United States.
  • Schepartz A; Department of Chemistry, University of California, Berkeley, CA, United States; Department of Molecular and Cell Biology, University of California, Berkeley, CA, United States. Electronic address: schepartz@berkeley.edu.
Methods Enzymol ; 641: 477-505, 2020.
Article em En | MEDLINE | ID: mdl-32713536
Fluorescence correlation spectroscopy (FCS) is a quantitative single-molecule method that measures the concentration and rate of diffusion of fluorophore-tagged molecules, both large and small, in vitro and within live cells, and even within discrete cellular compartments. FCS is exceptionally well-suited to directly quantify the efficiency of intracellular protein delivery-specifically, how well different "cell-penetrating" proteins and peptides guide proteinaceous materials into the cytosol and nuclei of live mammalian cells. This article provides an overview of the procedures necessary to execute robust FCS experiments and evaluate endosomal escape efficiencies: preparation of fluorophore-tagged proteins, incubation with mammalian cells and preparation of FCS samples, setup and execution of an FCS experiment, and a detailed discussion of and custom MATLAB® script for analyzing the resulting autocorrelation curves in the context of appropriate diffusion models.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Peptídeos / Proteínas Tipo de estudo: Qualitative_research Limite: Animals Idioma: En Revista: Methods Enzymol Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Peptídeos / Proteínas Tipo de estudo: Qualitative_research Limite: Animals Idioma: En Revista: Methods Enzymol Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos