Literature DB >> 23843167

High throughput FRET analysis of protein-protein interactions by slide-based imaging laser scanning cytometry.

Nikoletta Szalóki1, Quang Minh Doan-Xuan, János Szöllősi, Katalin Tóth, György Vámosi, Zsolt Bacsó.   

Abstract

Laser scanning cytometry (LSC) is a slide-based technique combining advantages of flow and image cytometry: automated, high-throughput detection of optical signals with subcellular resolution. Fluorescence resonance energy transfer (FRET) is a spectroscopic method often used for studying molecular interactions and molecular distances. FRET has been measured by various microscopic and flow cytometric techniques. We have developed a protocol for a commercial LSC instrument to measure FRET on a cell-by-cell or pixel-by-pixel basis on large cell populations, which adds a new modality to the use of LSC. As a reference sample for FRET, we used a fusion protein of a single donor and acceptor (ECFP-EYFP connected by a seven-amino acid linker) expressed in HeLa cells. The FRET efficiency of this sample was determined via acceptor photobleaching and used as a reference value for ratiometric FRET measurements. Using this standard allowed the precise determination of an important parameter (the alpha factor, characterizing the relative signal strengths from a single donor and acceptor molecule), which is indispensable for quantitative FRET calculations in real samples expressing donor and acceptor molecules at variable ratios. We worked out a protocol for the identification of adherent, healthy, double-positive cells based on light-loss and fluorescence parameters, and applied ratiometric FRET equations to calculate FRET efficiencies in a semi-automated fashion. To test our protocol, we measured the FRET efficiency between Fos-ECFP and Jun-EYFP transcription factors by LSC, as well as by confocal microscopy and flow cytometry, all yielding nearly identical results. Our procedure allows for accurate FRET measurements and can be applied to the fast screening of protein interactions. A pipeline exemplifying the gating and FRET analysis procedure using the CellProfiler software has been made accessible at our web site.
Copyright © 2013 International Society for Advancement of Cytometry.

Entities:  

Keywords:  FRET; fluorescence resonance energy transfer; high throughput; laser scanning cytometry; protein-protein interactions

Mesh:

Substances:

Year:  2013        PMID: 23843167     DOI: 10.1002/cyto.a.22315

Source DB:  PubMed          Journal:  Cytometry A        ISSN: 1552-4922            Impact factor:   4.355


  9 in total

1.  Intensity correlation-based calibration of FRET.

Authors:  László Bene; Tamás Ungvári; Roland Fedor; László Sasi Szabó; László Damjanovich
Journal:  Biophys J       Date:  2013-11-05       Impact factor: 4.033

2.  IL-2 receptors preassemble and signal in the ER/Golgi causing resistance to antiproliferative anti-IL-2Rα therapies.

Authors:  Julianna Volkó; Ádám Kenesei; Meili Zhang; Péter Várnai; Gábor Mocsár; Michael N Petrus; Károly Jambrovics; Zoltán Balajthy; Gabriele Müller; Andrea Bodnár; Katalin Tóth; Thomas A Waldmann; György Vámosi
Journal:  Proc Natl Acad Sci U S A       Date:  2019-09-30       Impact factor: 11.205

3.  Uncovering Aberrant Mutant PKA Function with Flow Cytometric FRET.

Authors:  Shin-Rong Lee; Lingjie Sang; David T Yue
Journal:  Cell Rep       Date:  2016-03-17       Impact factor: 9.423

4.  Evidence for Homodimerization of the c-Fos Transcription Factor in Live Cells Revealed by Fluorescence Microscopy and Computer Modeling.

Authors:  Nikoletta Szalóki; Jan Wolfgang Krieger; István Komáromi; Katalin Tóth; György Vámosi
Journal:  Mol Cell Biol       Date:  2015-08-24       Impact factor: 4.272

5.  Bone Marrow Recovery by Morphometry during Induction Chemotherapy for Acute Lymphoblastic Leukemia in Children.

Authors:  Tuong-Vi Nguyen; Anna Melville; Shriram Nath; Colin Story; Stuart Howell; Rosemary Sutton; Andrew Zannettino; Tamas Revesz
Journal:  PLoS One       Date:  2015-05-11       Impact factor: 3.240

Review 6.  Understanding FRET as a research tool for cellular studies.

Authors:  Dilip Shrestha; Attila Jenei; Péter Nagy; György Vereb; János Szöllősi
Journal:  Int J Mol Sci       Date:  2015-03-25       Impact factor: 5.923

7.  Advanced FRET normalization allows quantitative analysis of protein interactions including stoichiometries and relative affinities in living cells.

Authors:  Bernhard Hochreiter; Markus Kunze; Bernhard Moser; Johannes A Schmid
Journal:  Sci Rep       Date:  2019-06-03       Impact factor: 4.379

Review 8.  Current Experimental Methods for Characterizing Protein-Protein Interactions.

Authors:  Mi Zhou; Qing Li; Renxiao Wang
Journal:  ChemMedChem       Date:  2016-02-11       Impact factor: 3.466

9.  A Novel FRET Approach Quantifies the Interaction Strength of Peroxisomal Targeting Signals and Their Receptor in Living Cells.

Authors:  Bernhard Hochreiter; Cheng-Shoong Chong; Andreas Hartig; Sebastian Maurer-Stroh; Johannes Berger; Johannes A Schmid; Markus Kunze
Journal:  Cells       Date:  2020-10-30       Impact factor: 6.600

  9 in total

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