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Detecting and Characterizing Protein Self-Assembly In Vivo by Flow Cytometry
Author(s) -
Shriram Venkatesan,
Tejbir S. Kandola,
Alejandro Rodríguez Gama,
Andrew Box,
Randal Halfmann
Publication year - 2019
Publication title -
journal of visualized experiments
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.596
H-Index - 91
ISSN - 1940-087X
DOI - 10.3791/59577
Subject(s) - flow cytometry , population , förster resonance energy transfer , in vivo , cytometry , biological system , single cell analysis , microbiology and biotechnology , biophysics , throughput , chemistry , nanotechnology , cell , biology , computational biology , computer science , physics , materials science , biochemistry , fluorescence , genetics , telecommunications , demography , quantum mechanics , sociology , wireless
Protein self-assembly governs protein function and compartmentalizes cellular processes in space and time. Current methods to study it suffer from low-sensitivity, indirect read-outs, limited throughput, and/or population-level rather than single-cell resolution. We designed a flow cytometry-based single methodology that addresses all of these limitations: Distributed Amphifluoric FRET or DAmFRET. DAmFRET detects and quantifies protein self-assemblies by sensitized emission FRET in vivo, enables deployment across model systems-from yeast to human cells-and achieves sensitive, single-cell, high-throughput read-outs irrespective of protein localization or solubility.

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