Literature DB >> 26384400

Automated High-Throughput Fluorescence Lifetime Imaging Microscopy to Detect Protein-Protein Interactions.

Camilo Guzmán1, Christina Oetken-Lindholm1, Daniel Abankwa2.   

Abstract

Fluorescence resonance energy transfer (FRET) is widely used to study conformational changes of macromolecules and protein-protein, protein-nucleic acid, and protein-small molecule interactions. FRET biosensors can serve as valuable secondary assays in drug discovery and for target validation in mammalian cells. Fluorescence lifetime imaging microscopy (FLIM) allows precise quantification of the FRET efficiency in intact cells, as FLIM is independent of fluorophore concentration, detection efficiency, and fluorescence intensity. We have developed an automated FLIM system using a commercial frequency domain FLIM attachment (Lambert Instruments) for wide-field imaging. Our automated FLIM system is capable of imaging and analyzing up to 50 different positions of a slide in less than 4 min, or the inner 60 wells of a 96-well plate in less than 20 min. Automation is achieved using a motorized stage and controller (Prior Scientific) coupled with a Zeiss Axio Observer body and full integration into the Lambert Instruments FLIM acquisition software. As an application example, we analyze the interaction of the oncoprotein Ras and its effector Raf after drug treatment. In conclusion, our automated FLIM imaging system requires only commercial components and may therefore allow for a broader use of this technique in chemogenomics projects.
© 2015 Society for Laboratory Automation and Screening.

Entities:  

Keywords:  FLIM; FRET; automation; chemogenomic screening; high-throughput imaging

Mesh:

Substances:

Year:  2015        PMID: 26384400     DOI: 10.1177/2211068215606048

Source DB:  PubMed          Journal:  J Lab Autom        ISSN: 2211-0682


  11 in total

1.  FLIM-FRET Analysis of Ras Nanoclustering and Membrane-Anchorage.

Authors:  Hanna Parkkola; Farid Ahmad Siddiqui; Christina Oetken-Lindholm; Daniel Abankwa
Journal:  Methods Mol Biol       Date:  2021

2.  Nonparametric empirical Bayesian framework for fluorescence-lifetime imaging microscopy.

Authors:  Shulei Wang; Jenu V Chacko; Abdul K Sagar; Kevin W Eliceiri; Ming Yuan
Journal:  Biomed Opt Express       Date:  2019-10-03       Impact factor: 3.732

3.  SPRED1 Interferes with K-ras but Not H-ras Membrane Anchorage and Signaling.

Authors:  Elina Siljamäki; Daniel Abankwa
Journal:  Mol Cell Biol       Date:  2016-09-26       Impact factor: 4.272

4.  A Review of New High-Throughput Methods Designed for Fluorescence Lifetime Sensing From Cells and Tissues.

Authors:  Aric Bitton; Jesus Sambrano; Samantha Valentino; Jessica P Houston
Journal:  Front Phys       Date:  2021-04-26

5.  High-Throughput Spectral and Lifetime-Based FRET Screening in Living Cells to Identify Small-Molecule Effectors of SERCA.

Authors:  Tory M Schaaf; Kurt C Peterson; Benjamin D Grant; Prachi Bawaskar; Samantha Yuen; Ji Li; Joseph M Muretta; Gregory D Gillispie; David D Thomas
Journal:  SLAS Discov       Date:  2016-12-13       Impact factor: 3.341

6.  Spectral Unmixing Plate Reader: High-Throughput, High-Precision FRET Assays in Living Cells.

Authors:  Tory M Schaaf; Kurt C Peterson; Benjamin D Grant; David D Thomas; Gregory D Gillispie
Journal:  SLAS Discov       Date:  2016-11-23       Impact factor: 3.341

7.  NRAS is unique among RAS proteins in requiring ICMT for trafficking to the plasma membrane.

Authors:  Ian M Ahearn; Helen R Court; Farid Siddiqui; Daniel Abankwa; Mark R Philips
Journal:  Life Sci Alliance       Date:  2021-02-12

Review 8.  How to prove the existence of metabolons?

Authors:  Jean-Etienne Bassard; Barbara Ann Halkier
Journal:  Phytochem Rev       Date:  2017-04-26       Impact factor: 5.374

9.  Auto-FPFA: An Automated Microscope for Characterizing Genetically Encoded Biosensors.

Authors:  Tuan A Nguyen; Henry L Puhl; An K Pham; Steven S Vogel
Journal:  Sci Rep       Date:  2018-05-09       Impact factor: 4.379

10.  Faster, sharper, more precise: Automated Cluster-FLIM in preclinical testing directly identifies the intracellular fate of theranostics in live cells and tissue.

Authors:  Robert Brodwolf; Pierre Volz-Rakebrand; Johannes Stellmacher; Christopher Wolff; Michael Unbehauen; Rainer Haag; Monika Schäfer-Korting; Christian Zoschke; Ulrike Alexiev
Journal:  Theranostics       Date:  2020-05-15       Impact factor: 11.556

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