Literature DB >> 19117140

FRAP and FRET methods to study nuclear receptors in living cells.

Martin E van Royen1, Christoffel Dinant, Pascal Farla, Jan Trapman, Adriaan B Houtsmuller.   

Abstract

Quantitative imaging techniques of fluorescently-tagged proteins have been instrumental in the study of the behavior of nuclear receptors (NRs) and coregulators in living cells. Ligand-activated NRs exert their function in transcription regulation by binding to specific response elements in promotor and enhancer sequences of genes. Fluorescence recovery after photobleaching (FRAP) has proven to be a powerful tool to study the mobility of fluorescently-labeled molecules in living cells. Since binding to DNA leads to the immobilization of DNA-interacting proteins like NRs, FRAP is especially useful for determining DNA-binding kinetics of these proteins. The coordinated interaction of NRs with promoters/enhancers and subsequent transcription activation is not only regulated by ligand but also by interactions with sets of cofactors and, at least in the case of the androgen receptor (AR), by dimerization and interdomain interactions. In living cells, these interactions can be studied by fluorescence resonance energy transfer (FRET). Here we provide and discuss detailed protocols for FRAP and FRET procedures to study the behavior of nuclear receptors in living cells. On the basis of our studies of the AR, we provide protocols for two different FRAP methods (strip-FRAP and FLIP-FRAP) to quantitatively investigate DNA-interactions and for two different FRET approaches, ratio imaging, and acceptor photobleaching FRET to study AR domain interactions and interactions with cofactor motifs. Finally, we provide a protocol of a technique where FRAP and acceptor photobleaching FRET are combined to study the dynamics of interacting ARs.

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Year:  2009        PMID: 19117140     DOI: 10.1007/978-1-60327-575-0_5

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  7 in total

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Journal:  Trends Biochem Sci       Date:  2014-11-28       Impact factor: 13.807

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Authors:  Hellen C Ishikawa-Ankerhold; Richard Ankerhold; Gregor P C Drummen
Journal:  Molecules       Date:  2012-04-02       Impact factor: 4.411

3.  The androgen receptor depends on ligand-binding domain dimerization for transcriptional activation.

Authors:  Christine Helsen; Frank Claessens; Sarah El Kharraz; Vanessa Dubois; Martin E van Royen; Adriaan B Houtsmuller; Ekatarina Pavlova; Nina Atanassova; Tien Nguyen; Arnout Voet; Roy Eerlings; Florian Handle; Stefan Prekovic; Elien Smeets; Lisa Moris; Wout Devlies; Claes Ohlsson; Matti Poutanen; Kevin J Verstrepen; Geert Carmeliet; Kaisa-Mari Launonen; Laura Helminen; Jorma J Palvimo; Claude Libert; Dirk Vanderschueren
Journal:  EMBO Rep       Date:  2021-10-18       Impact factor: 8.807

Review 4.  Systems microscopy approaches to understand cancer cell migration and metastasis.

Authors:  Sylvia E Le Dévédec; Kuan Yan; Hans de Bont; Veerander Ghotra; Hoa Truong; Erik H Danen; Fons Verbeek; Bob van de Water
Journal:  Cell Mol Life Sci       Date:  2010-06-18       Impact factor: 9.261

5.  Quantitation of glucocorticoid receptor DNA-binding dynamics by single-molecule microscopy and FRAP.

Authors:  Femke L Groeneweg; Martin E van Royen; Susanne Fenz; Veer I P Keizer; Bart Geverts; Jurrien Prins; E Ron de Kloet; Adriaan B Houtsmuller; Thomas S Schmidt; Marcel J M Schaaf
Journal:  PLoS One       Date:  2014-03-14       Impact factor: 3.240

6.  Structure of the homodimeric androgen receptor ligand-binding domain.

Authors:  Marta Nadal; Stefan Prekovic; Nerea Gallastegui; Christine Helsen; Montserrat Abella; Karolina Zielinska; Marina Gay; Marta Vilaseca; Marta Taulès; Adriaan B Houtsmuller; Martin E van Royen; Frank Claessens; Pablo Fuentes-Prior; Eva Estébanez-Perpiñá
Journal:  Nat Commun       Date:  2017-02-06       Impact factor: 14.919

7.  The Serotonin Receptor Subtype 5b Specifically Interacts with Serotonin Receptor Subtype 1A.

Authors:  Sabine Niebert; Gijsbert J van Belle; Steffen Vogelgesang; Till Manzke; Marcus Niebert
Journal:  Front Mol Neurosci       Date:  2017-09-21       Impact factor: 5.639

  7 in total

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