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Open Source High Content Analysis Utilizing Automated Fluorescence Lifetime Imaging Microscopy.
Görlitz, Frederik; Kelly, Douglas J; Warren, Sean C; Alibhai, Dominic; West, Lucien; Kumar, Sunil; Alexandrov, Yuriy; Munro, Ian; Garcia, Edwin; McGinty, James; Talbot, Clifford; Serwa, Remigiusz A; Thinon, Emmanuelle; da Paola, Vincenzo; Murray, Edward J; Stuhmeier, Frank; Neil, Mark A A; Tate, Edward W; Dunsby, Christopher; French, Paul M W.
Afiliação
  • Görlitz F; Photonics Group, Department of Physics, Imperial College London; f.gorlitz14@imperial.ac.uk.
  • Kelly DJ; Photonics Group, Department of Physics, Imperial College London.
  • Warren SC; Photonics Group, Department of Physics, Imperial College London.
  • Alibhai D; Institute for Chemical Biology, Department of Chemistry, Imperial College London.
  • West L; MRC Clinical Sciences Centre, Hammersmith Hospital.
  • Kumar S; Photonics Group, Department of Physics, Imperial College London.
  • Alexandrov Y; Photonics Group, Department of Physics, Imperial College London.
  • Munro I; Photonics Group, Department of Physics, Imperial College London.
  • Garcia E; Photonics Group, Department of Physics, Imperial College London.
  • McGinty J; Photonics Group, Department of Physics, Imperial College London.
  • Talbot C; Photonics Group, Department of Physics, Imperial College London.
  • Serwa RA; Chemical Biology Section, Department of Chemistry, Imperial College London.
  • Thinon E; Chemical Biology Section, Department of Chemistry, Imperial College London.
  • da Paola V; MRC Clinical Sciences Centre, Hammersmith Hospital.
  • Murray EJ; Retroscreen Virology Ltd.
  • Stuhmeier F; Pfizer Global Research and Development, Pfizer Limited, Sandwich, Kent, UK.
  • Neil MA; Photonics Group, Department of Physics, Imperial College London.
  • Tate EW; Chemical Biology Section, Department of Chemistry, Imperial College London.
  • Dunsby C; Photonics Group, Department of Physics, Imperial College London; Centre for Histopathology, Imperial College London.
  • French PM; Photonics Group, Department of Physics, Imperial College London.
J Vis Exp ; (119)2017 01 18.
Article em En | MEDLINE | ID: mdl-28190060
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transferência Ressonante de Energia de Fluorescência / Microscopia de Fluorescência Tipo de estudo: Guideline Limite: Animals / Humans Idioma: En Revista: J Vis Exp Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transferência Ressonante de Energia de Fluorescência / Microscopia de Fluorescência Tipo de estudo: Guideline Limite: Animals / Humans Idioma: En Revista: J Vis Exp Ano de publicação: 2017 Tipo de documento: Article