Open Source High Content Analysis Utilizing Automated Fluorescence Lifetime Imaging Microscopy
Author(s) -
Frederik Görlitz,
Douglas J. Kelly,
Sean Warren,
Dominic Alibhai,
Lucien West,
Sunil Kumar,
Yuriy Alexandrov,
Ian Munro,
Edwin García,
James McGinty,
Clifford Talbot,
Remigiusz A. Serwa,
Emmanuelle Thi,
Vincenzo De Paola,
Edward J. Murray,
Frank Stühmeier,
Mark A. A. Neil,
Edward W. Tate,
Christopher Dunsby,
P. M. W. French
Publication year - 2017
Publication title -
journal of visualized experiments
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.596
H-Index - 91
ISSN - 1940-087X
DOI - 10.3791/55119
Subject(s) - förster resonance energy transfer , high content screening , fluorescence lifetime imaging microscopy , fluorescence , fluorescence microscope , microscopy , biosensor , computer science , plate reader , nanotechnology , biophysics , chemistry , materials science , biology , physics , biochemistry , cell , optics
We present an open source high content analysis instrument utilizing automated fluorescence lifetime imaging (FLIM) for assaying protein interactions using Förster resonance energy transfer (FRET) based readouts of fixed or live cells in multiwell plates. This provides a means to screen for cell signaling processes read out using intramolecular FRET biosensors or intermolecular FRET of protein interactions such as oligomerization or heterodimerization, which can be used to identify binding partners. We describe here the functionality of this automated multiwell plate FLIM instrumentation and present exemplar data from our studies of HIV Gag protein oligomerization and a time course of a FRET biosensor in live cells. A detailed description of the practical implementation is then provided with reference to a list of hardware components and a description of the open source data acquisition software written in µManager. The application of FLIMfit, an open source MATLAB-based client for the OMERO platform, to analyze arrays of multiwell plate FLIM data is also presented. The protocols for imaging fixed and live cells are outlined and a demonstration of an automated multiwell plate FLIM experiment using cells expressing fluorescent protein-based FRET constructs is presented. This is complemented by a walk-through of the data analysis for this specific FLIM FRET data set.
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