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Optimizing FRET-FLIM Labeling Conditions to Detect Nuclear Protein Interactions at Native Expression Levels in Living Arabidopsis Roots
Protein complex formation has been extensively studied using Förster resonance energy transfer (FRET) measured by Fluorescence Lifetime Imaging Microscopy (FLIM). However, implementing this technology to detect protein interactions in living multicellular organism at single-cell resolution and under...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5962846/ https://www.ncbi.nlm.nih.gov/pubmed/29868092 http://dx.doi.org/10.3389/fpls.2018.00639 |
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author | Long, Yuchen Stahl, Yvonne Weidtkamp-Peters, Stefanie Smet, Wouter Du, Yujuan Gadella, Theodorus W. J. Goedhart, Joachim Scheres, Ben Blilou, Ikram |
author_facet | Long, Yuchen Stahl, Yvonne Weidtkamp-Peters, Stefanie Smet, Wouter Du, Yujuan Gadella, Theodorus W. J. Goedhart, Joachim Scheres, Ben Blilou, Ikram |
author_sort | Long, Yuchen |
collection | PubMed |
description | Protein complex formation has been extensively studied using Förster resonance energy transfer (FRET) measured by Fluorescence Lifetime Imaging Microscopy (FLIM). However, implementing this technology to detect protein interactions in living multicellular organism at single-cell resolution and under native condition is still difficult to achieve. Here we describe the optimization of the labeling conditions to detect FRET-FLIM in living plants. This study exemplifies optimization procedure involving the identification of the optimal position for the labels either at the N or C terminal region and the selection of the bright and suitable, fluorescent proteins as donor and acceptor labels for the FRET study. With an effective optimization strategy, we were able to detect the interaction between the stem cell regulators SHORT-ROOT and SCARECROW at endogenous expression levels in the root pole of living Arabidopsis embryos and developing lateral roots by FRET-FLIM. Using this approach we show that the spatial profile of interaction between two transcription factors can be highly modulated in reoccurring and structurally resembling organs, thus providing new information on the dynamic redistribution of nuclear protein complex configurations in different developmental stages. In principle, our optimization procedure for transcription factor complexes is applicable to any biological system. |
format | Online Article Text |
id | pubmed-5962846 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-59628462018-06-04 Optimizing FRET-FLIM Labeling Conditions to Detect Nuclear Protein Interactions at Native Expression Levels in Living Arabidopsis Roots Long, Yuchen Stahl, Yvonne Weidtkamp-Peters, Stefanie Smet, Wouter Du, Yujuan Gadella, Theodorus W. J. Goedhart, Joachim Scheres, Ben Blilou, Ikram Front Plant Sci Plant Science Protein complex formation has been extensively studied using Förster resonance energy transfer (FRET) measured by Fluorescence Lifetime Imaging Microscopy (FLIM). However, implementing this technology to detect protein interactions in living multicellular organism at single-cell resolution and under native condition is still difficult to achieve. Here we describe the optimization of the labeling conditions to detect FRET-FLIM in living plants. This study exemplifies optimization procedure involving the identification of the optimal position for the labels either at the N or C terminal region and the selection of the bright and suitable, fluorescent proteins as donor and acceptor labels for the FRET study. With an effective optimization strategy, we were able to detect the interaction between the stem cell regulators SHORT-ROOT and SCARECROW at endogenous expression levels in the root pole of living Arabidopsis embryos and developing lateral roots by FRET-FLIM. Using this approach we show that the spatial profile of interaction between two transcription factors can be highly modulated in reoccurring and structurally resembling organs, thus providing new information on the dynamic redistribution of nuclear protein complex configurations in different developmental stages. In principle, our optimization procedure for transcription factor complexes is applicable to any biological system. Frontiers Media S.A. 2018-05-15 /pmc/articles/PMC5962846/ /pubmed/29868092 http://dx.doi.org/10.3389/fpls.2018.00639 Text en Copyright © 2018 Long, Stahl, Weidtkamp-Peters, Smet, Du, Gadella, Goedhart, Scheres and Blilou. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Plant Science Long, Yuchen Stahl, Yvonne Weidtkamp-Peters, Stefanie Smet, Wouter Du, Yujuan Gadella, Theodorus W. J. Goedhart, Joachim Scheres, Ben Blilou, Ikram Optimizing FRET-FLIM Labeling Conditions to Detect Nuclear Protein Interactions at Native Expression Levels in Living Arabidopsis Roots |
title | Optimizing FRET-FLIM Labeling Conditions to Detect Nuclear Protein Interactions at Native Expression Levels in Living Arabidopsis Roots |
title_full | Optimizing FRET-FLIM Labeling Conditions to Detect Nuclear Protein Interactions at Native Expression Levels in Living Arabidopsis Roots |
title_fullStr | Optimizing FRET-FLIM Labeling Conditions to Detect Nuclear Protein Interactions at Native Expression Levels in Living Arabidopsis Roots |
title_full_unstemmed | Optimizing FRET-FLIM Labeling Conditions to Detect Nuclear Protein Interactions at Native Expression Levels in Living Arabidopsis Roots |
title_short | Optimizing FRET-FLIM Labeling Conditions to Detect Nuclear Protein Interactions at Native Expression Levels in Living Arabidopsis Roots |
title_sort | optimizing fret-flim labeling conditions to detect nuclear protein interactions at native expression levels in living arabidopsis roots |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5962846/ https://www.ncbi.nlm.nih.gov/pubmed/29868092 http://dx.doi.org/10.3389/fpls.2018.00639 |
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