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Quantifying transcription factor binding dynamics at the single-molecule level in live cells

Authors :
David A. Ball
Diego M. Presman
Gordon L. Hager
Luke D. Lavis
Tatiana S. Karpova
Ville Paakinaho
Jonathan B. Grimm
Source :
CONICET Digital (CONICET), Consejo Nacional de Investigaciones Científicas y Técnicas, instacron:CONICET
Publication Year :
2016

Abstract

Progressive, technological achievements in the quantitative fluorescence microscopy field are allowing researches from many different areas to start unraveling the dynamic intricacies of biological processes inside living cells. From super-resolution microscopy techniques to tracking of individual proteins, fluorescence microscopy is changing our perspective on how the cell works. Fortunately, a growing number of research groups are exploring single-molecule studies in living cells. However, no clear consensus exists on several key aspects of the technique such as image acquisition conditions, or analysis of the obtained data. Here, we describe a detailed approach to perform single-molecule tracking (SMT) of transcription factors in living cells to obtain key binding characteristics, namely their residence time and bound fractions. We discuss different types of fluorophores, labeling density, microscope, cameras, data acquisition, and data analysis. Using the glucocorticoid receptor as a model transcription factor, we compared alternate tags (GFP, mEOS, HaloTag, SNAP-tag, CLIP-tag) for potential multicolor applications. We also examine different methods to extract the dissociation rates and compare them with simulated data. Finally, we discuss several challenges that this exciting technique still faces. Fil: Presman, Diego Martin. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Fisiología, Biología Molecular y Neurociencias. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Fisiología, Biología Molecular y Neurociencias; Argentina. National Institutes of Health; Estados Unidos Fil: Ball, David A.. National Institutes of Health; Estados Unidos Fil: Paakinaho, Ville. National Institutes of Health; Estados Unidos Fil: Grimm, Jonathan B.. Howard Hughes Medical Institute; Estados Unidos Fil: Lavis, Luke D.. Howard Hughes Medical Institute; Estados Unidos Fil: Karpova, Tatiana S.. National Institutes of Health; Estados Unidos Fil: Hager, Gordon L.. National Institutes of Health; Estados Unidos

Details

ISSN :
10959130
Volume :
123
Database :
OpenAIRE
Journal :
Methods (San Diego, Calif.)
Accession number :
edsair.doi.dedup.....96b43117eb174dcbc81a64b3fb076598